ISOLATED POLYNUCLEOTIDES AND POLYPEPTIDES, CONSTRUCT AND PLANTS COMPRISING SAME AND METHODS OF USING SAME FOR INCREASING NITROGEN USE EFFICIENCY OF PLANTS

Abstract

Provided are isolated polypeptides which are at least 80% homologous to SEQ ID NOs: 496-794, 2898-3645, and 3647-4855, isolated polynucleotides which are at least 80% identical to SEQ ID NOs: 1-495 and 795-2897, nucleic acid constructs comprising same, transgenic cells expressing same, transgenic plants expressing same and method of using same for increasing fertilizer use efficiency, nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, photosynthetic capacity, seed yield, fiber yield, fiber quality, fiber length, and/or abiotic stress tolerance of a plant.

Description

RELATED APPLICATIONS

This application is a division of U.S. Pat. Application No. 16/671,199 filed on Nov. 1, 2019, which is a division of U.S. Pat. Application No. 15/672,374 filed on Aug. 9, 2017, now U.S. Pat. No. 10,501,751, which is a division of U.S. Pat. Application No. 14/655,384 filed on Jun. 25, 2015, now U.S. Pat. No. 9,771,598, which is a National Phase of PCT Pat. Application No. PCT/IL2013/051043 having International Filing Date of Dec. 19, 2013, which claims the benefit of priority under 35 USC §119(e) of U.S. Provisional Pat. Application Nos. 61/827,801 filed on May 28, 2013 and 61/745,877 filed on Dec. 26, 2012. The contents of the above applications are all incorporated by reference as if fully set forth herein in their entirety.

SEQUENCE LISTING STATEMENT

The XML file, entitled 92878SequenceListing.xml, created on Aug. 24, 2022 comprising 10,811,018 bytes, submitted concurrently with the filing of this application is incorporated herein by reference.

FIELD AND BACKGROUND OF THE INVENTION

The present invention, in some embodiments thereof, relates to isolated polypeptides and polynucleotides, nucleic acid constructs comprising same, transgenic cells comprising same, transgenic plants exogenously expressing same and more particularly, but not exclusively, to methods of using same for increasing fertilizer use efficiency (e.g., nitrogen use efficiency), yield (e.g., seed yield, oil yield), biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant.

A common approach to promote plant growth has been, and continues to be, the use of natural as well as synthetic nutrients (fertilizers). Thus, fertilizers are the fuel behind the “green revolution”, directly responsible for the exceptional increase in crop yields during the last 40 years, and are considered the number one overhead expense in agriculture. For example, inorganic nitrogenous fertilizers such as ammonium nitrate, potassium nitrate, or urea, typically accounts for 40% of the costs associated with crops such as corn and wheat. Of the three macronutrients provided as main fertilizers [Nitrogen (N), Phosphate (P) and Potassium (K)], nitrogen is often the rate-limiting element in plant growth and all field crops have a fundamental dependence on inorganic nitrogenous fertilizer. Nitrogen is responsible for biosynthesis of amino and nucleic acids, prosthetic groups, plant hormones, plant chemical defenses, etc. and usually needs to be replenished every year, particularly for cereals, which comprise more than half of the cultivated areas worldwide. Thus, nitrogen is translocated to the shoot, where it is stored in the leaves and stalk during the rapid step of plant development and up until flowering. In corn for example, plants accumulate the bulk of their organic nitrogen during the period of grain germination, and until flowering. Once fertilization of the plant has occurred, grains begin to form and become the main sink of plant nitrogen. The stored nitrogen can be then redistributed from the leaves and stalk that served as storage compartments until grain formation.

Since fertilizer is rapidly depleted from most soil types, it must be supplied to growing crops two or three times during the growing season. In addition, the low nitrogen use efficiency (NUE) of the main crops (e.g., in the range of only 30-70%) negatively affects the input expenses for the farmer, due to the excess fertilizer applied. Moreover, the over and inefficient use of fertilizers are major factors responsible for environmental problems such as eutrophication of groundwater, lakes, rivers and seas, nitrate pollution in drinking water which can cause methemoglobinemia, phosphate pollution, atmospheric pollution and the like. However, in spite of the negative impact of fertilizers on the environment, and the limits on fertilizer use, which have been legislated in several countries, the use of fertilizers is expected to increase in order to support food and fiber production for rapid population growth on limited land resources. For example, it has been estimated that by 2050, more than 150 million tons of nitrogenous fertilizer will be used worldwide annually.

Increased use efficiency of nitrogen by plants should enable crops to be cultivated with lower fertilizer input, or alternatively to be cultivated on soils of poorer quality and would therefore have significant economic impact in both developed and developing agricultural systems.

Genetic improvement of fertilizer use efficiency (FUE) in plants can be generated either via traditional breeding or via genetic engineering.

Attempts to generate plants with increased FUE have been described in U.S. Pat. Appl. Publication No. 20020046419 (U.S. Pat. No. 7,262,055 to Choo, et al.); U.S. Pat. Appl. No. 20050108791 to Edgerton et al.; U.S. Pat. Appl. No. 20060179511 to Chomet et al.; Good, A, et al. 2007 (Engineering nitrogen use efficiency with alanine aminotransferase. Canadian Journal of Botany 85: 252-262); and Good AG et al. 2004 (Trends Plant Sci. 9:597-605).

Yanagisawa et al. (Proc. Natl. Acad. Sci. U.S.A. 2004 101:7833-8) describe Dof1 transgenic plants which exhibit improved growth under low-nitrogen conditions.

U.S. Pat. No. 6,084,153 to Good et al. discloses the use of a stress responsive promoter to control the expression of Alanine Amine Transferase (AlaAT) and transgenic canola plants with improved drought and nitrogen deficiency tolerance when compared to control plants.

Yield is affected by various factors, such as, the number and size of the plant organs, plant architecture (for example, the number of branches), grains set length, number of filled grains, vigor (e.g. seedling), growth rate, root development, utilization of water, nutrients (e.g., nitrogen) and fertilizers, and stress tolerance.

Crops such as, corn, rice, wheat, canola and soybean account for over half of total human caloric intake, whether through direct consumption of the seeds themselves or through consumption of meat products raised on processed seeds or forage. Seeds are also a source of sugars, proteins and oils and metabolites used in industrial processes. The ability to increase plant yield, whether through increase dry matter accumulation rate, modifying cellulose or lignin composition, increase stalk strength, enlarge meristem size, change of plant branching pattern, erectness of leaves, increase in fertilization efficiency, enhanced seed dry matter accumulation rate, modification of seed development, enhanced seed filling or by increasing the content of oil, starch or protein in the seeds would have many applications in agricultural and non-agricultural uses such as in the biotechnological production of pharmaceuticals, antibodies or vaccines.

Vegetable or seed oils are the major source of energy and nutrition in human and animal diet. They are also used for the production of industrial products, such as paints, inks and lubricants. In addition, plant oils represent renewable sources of long-chain hydrocarbons which can be used as fuel. Since the currently used fossil fuels are finite resources and are gradually being depleted, fast growing biomass crops may be used as alternative fuels or for energy feedstocks and may reduce the dependence on fossil energy supplies. However, the major bottleneck for increasing consumption of plant oils as bio-fuel is the oil price, which is still higher than fossil fuel. In addition, the production rate of plant oil is limited by the availability of agricultural land and water. Thus, increasing plant oil yields from the same growing area can effectively overcome the shortage in production space and can decrease vegetable oil prices at the same time.

Studies aiming at increasing plant oil yields focus on the identification of genes involved in oil metabolism as well as in genes capable of increasing plant and seed yields in transgenic plants. Genes known to be involved in increasing plant oil yields include those participating in fatty acid synthesis or sequestering such as desaturase [e.g., DELTA6, DELTA12 or acyl-ACP (Ssi2; Arabidopsis Information Resource (TAIR; arabidopsis (dot) org/), TAIR No. AT2G43710)], OleosinA (TAIR No. AT3G01570) or FAD3 (TAIR No. AT2G29980), and various transcription factors and activators such as Lec1 [TAIR No. AT1G21970, Lotan et al. 1998. Cell. 26;93(7):1195-205], Lec2 [TAIR No. AT1G28300, Santos Mendoza et al. 2005, FEBS Lett. 579(21):4666-70], Fus3 (TAIR No. AT3G26790), ABI3 [TAIR No. AT3G24650, Lara et al. 2003. J Biol Chem. 278(23): 21003-11] and Wri1 [TAIR No. AT3G54320, Cemac and Benning, 2004. Plant J. 40(4): 575-85].

Genetic engineering efforts aiming at increasing oil content in plants (e.g., in seeds) include upregulating endoplasmic reticulum (FAD3) and plastidal (FAD7) fatty acid desaturases in potato (Zabrouskov V., et al., 2002; Physiol Plant. 116:172-185); over-expressing the GmDof4 and GmDof11 transcription factors (Wang HW et al., 2007; Plant J. 52:716-29); over-expressing a yeast glycerol-3-phosphate dehydrogenase under the control of a seed-specific promoter (Vigeolas H, et al. 2007, Plant Biotechnol J. 5:431-41; U.S. Pat. Appl. No. 20060168684); using Arabidopsis FAE1 and yeast SLC1-1 genes for improvements in erucic acid and oil content in rapeseed (Katavic V, et al., 2000, Biochem Soc Trans. 28:935-7).

Various patent applications disclose genes and proteins which can increase oil content in plants. These include for example, U.S. Pat. Appl. No. 20080076179 (lipid metabolism protein); U.S. Pat. Appl. No. 20060206961 (the Ypr140w polypeptide); U.S. Pat. Appl. No. 20060174373 [triacylglycerols synthesis enhancing protein (TEP)]; U.S. Pat. Appl. Nos. 20070169219, 20070006345, 20070006346 and 20060195943 (disclose transgenic plants with improved nitrogen use efficiency which can be used for the conversion into fuel or chemical feedstocks); WO2008/122980 (polynucleotides for increasing oil content, growth rate, biomass, yield and/or vigor of a plant).

Abiotic stress (ABS; also referred to as “environmental stress”) conditions such as salinity, drought, flood, suboptimal temperature and toxic chemical pollution, cause substantial damage to agricultural plants. Most plants have evolved strategies to protect themselves against these conditions. However, if the severity and duration of the stress conditions are too great, the effects on plant development, growth and yield of most crop plants are profound. Furthermore, most of the crop plants are highly susceptible to abiotic stress and thus necessitate optimal growth conditions for commercial crop yields. Continuous exposure to stress causes major alterations in the plant metabolism which ultimately leads to cell death and consequently yield losses.

Drought is a gradual phenomenon, which involves periods of abnormally dry weather that persists long enough to produce serious hydrologic imbalances such as crop damage, water supply shortage and increased susceptibility to various diseases. In severe cases, drought can last many years and results in devastating effects on agriculture and water supplies. Furthermore, drought is associated with increase susceptibility to various diseases.

For most crop plants, the land regions of the world are too arid. In addition, overuse of available water results in increased loss of agriculturally-usable land (desertification), and increase of salt accumulation in soils adds to the loss of available water in soils.

Salinity, high salt levels, affects one in five hectares of irrigated land. None of the top five food crops, i.e., wheat, corn, rice, potatoes, and soybean, can tolerate excessive salt. Detrimental effects of salt on plants result from both water deficit, which leads to osmotic stress (similar to drought stress), and the effect of excess sodium ions on critical biochemical processes. As with freezing and drought, high salt causes water deficit; and the presence of high salt makes it difficult for plant roots to extract water from their environment. Soil salinity is thus one of the more important variables that determine whether a plant may thrive. In many parts of the world, sizable land areas are uncultivable due to naturally high soil salinity. Thus, salination of soils that are used for agricultural production is a significant and increasing problem in regions that rely heavily on agriculture, and is worsen by over-utilization, over-fertilization and water shortage, typically caused by climatic change and the demands of increasing population. Salt tolerance is of particular importance early in a plant’s lifecycle, since evaporation from the soil surface causes upward water movement, and salt accumulates in the upper soil layer where the seeds are placed. On the other hand, germination normally takes place at a salt concentration which is higher than the mean salt level in the whole soil profile.

Salt and drought stress signal transduction consist of ionic and osmotic homeostasis signaling pathways. The ionic aspect of salt stress is signaled via the SOS pathway where a calcium-responsive SOS3-SOS2 protein kinase complex controls the expression and activity of ion transporters such as SOS1. The osmotic component of salt stress involves complex plant reactions that overlap with drought and/or cold stress responses.

Suboptimal temperatures affect plant growth and development through the whole plant life cycle. Thus, low temperatures reduce germination rate and high temperatures result in leaf necrosis. In addition, mature plants that are exposed to excess of heat may experience heat shock, which may arise in various organs, including leaves and particularly fruit, when transpiration is insufficient to overcome heat stress. Heat also damages cellular structures, including organelles and cytoskeleton, and impairs membrane function. Heat shock may produce a decrease in overall protein synthesis, accompanied by expression of heat shock proteins, e.g., chaperones, which are involved in refolding proteins denatured by heat. High-temperature damage to pollen almost always occurs in conjunction with drought stress, and rarely occurs under well-watered conditions. Combined stress can alter plant metabolism in novel ways. Excessive chilling conditions, e.g., low, but above freezing, temperatures affect crops of tropical origins, such as soybean, rice, maize, and cotton. Typical chilling damage includes wilting, necrosis, chlorosis or leakage of ions from cell membranes. The underlying mechanisms of chilling sensitivity are not completely understood yet, but probably involve the level of membrane saturation and other physiological deficiencies. Excessive light conditions, which occur under clear atmospheric conditions subsequent to cold late summer/autumn nights, can lead to photoinhibition of photosynthesis (disruption of photosynthesis). In addition, chilling may lead to yield losses and lower product quality through the delayed ripening of maize.

Common aspects of drought, cold and salt stress response [Reviewed in Xiong and Zhu (2002) Plant Cell Environ. 25: 131-139] include: (a) transient changes in the cytoplasmic calcium levels early in the signaling event; (b) signal transduction via mitogen-activated and/or calcium dependent protein kinases (CDPKs) and protein phosphatases; (c) increases in abscisic acid levels in response to stress triggering a subset of responses; (d) inositol phosphates as signal molecules (at least for a subset of the stress responsive transcriptional changes; (e) activation of phospholipases which in turn generates a diverse array of second messenger molecules, some of which might regulate the activity of stress responsive kinases; (f) induction of late embryogenesis abundant (LEA) type genes including the CRT/DRE responsive COR/RD genes; (g) increased levels of antioxidants and compatible osmolytes such as proline and soluble sugars; and (h) accumulation of reactive oxygen species such as superoxide, hydrogen peroxide, and hydroxyl radicals. Abscisic acid biosynthesis is regulated by osmotic stress at multiple steps. Both ABA-dependent and -independent osmotic stress signaling first modify constitutively expressed transcription factors, leading to the expression of early response transcriptional activators, which then activate downstream stress tolerance effector genes.

Several genes which increase tolerance to cold or salt stress can also improve drought stress protection, these include for example, the transcription factor AtCBF/DREB1, OsCDPK7 (Saijo et al. 2000, Plant J. 23: 319-327) or AVP1 (a vacuolar pyrophosphatase-proton pump, Gaxiola et al. 2001, Proc. Natl. Acad. Sci. USA 98: 11444-11449).

Studies have shown that plant adaptations to adverse environmental conditions are complex genetic traits with polygenic nature. Conventional means for crop and horticultural improvements utilize selective breeding techniques to identify plants having desirable characteristics. However, selective breeding is tedious, time consuming and has an unpredictable outcome. Furthermore, limited germplasm resources for yield improvement and incompatibility in crosses between distantly related plant species represent significant problems encountered in conventional breeding. Advances in genetic engineering have allowed mankind to modify the germplasm of plants by expression of genes-of-interest in plants. Such a technology has the capacity to generate crops or plants with improved economic, agronomic or horticultural traits.

Genetic engineering efforts, aimed at conferring abiotic stress tolerance to transgenic crops, have been described in various publications [Apse and Blumwald (Curr Opin Biotechnol. 13:146-150, 2002), Quesada et al. (Plant Physiol. 130:951-963, 2002), Holmström et al. (Nature 379: 683-684, 1996), Xu et al. (Plant Physiol 110: 249-257, 1996), Pilon-Smits and Ebskamp (Plant Physiol 107: 125-130, 1995) and Tarczynski et al. (Science 259: 508-510, 1993)].

Various patents and patent applications disclose genes and proteins which can be used for increasing tolerance of plants to abiotic stresses. These include for example, U.S. Pat. Nos. 5,296,462 and 5,356,816 (for increasing tolerance to cold stress); U.S. Pat. No. 6,670,528 (for increasing ABST); U.S. Pat. No. 6,720,477 (for increasing ABST); U.S. Application Ser. Nos. 09/938842 and 10/342224 (for increasing ABST); U.S. Application Ser. No. 10/231035 (for increasing ABST); WO2004/104162 (for increasing ABST and biomass); WO2007/020638 (for increasing ABST, biomass, vigor and/or yield); WO2007/049275 (for increasing ABST, biomass, vigor and/or yield); WO2010/076756 (for increasing ABST, biomass and/or yield);. WO2009/083958 (for increasing water use efficiency, fertilizer use efficiency, biotic/abiotic stress tolerance, yield and/or biomass); WO2010/020941 (for increasing nitrogen use efficiency, abiotic stress tolerance, yield and/or biomass); WO2009/141824 (for increasing plant utility); WO2010/049897 (for increasing plant yield).

Nutrient deficiencies cause adaptations of the root architecture, particularly notably for example is the root proliferation within nutrient rich patches to increase nutrient uptake. Nutrient deficiencies cause also the activation of plant metabolic pathways which maximize the absorption, assimilation and distribution processes such as by activating architectural changes. Engineering the expression of the triggered genes may cause the plant to exhibit the architectural changes and enhanced metabolism also under other conditions.

In addition, it is widely known that the plants usually respond to water deficiency by creating a deeper root system that allows access to moisture located in deeper soil layers. Triggering this effect will allow the plants to access nutrients and water located in deeper soil horizons particularly those readily dissolved in water like nitrates.

Cotton and cotton by-products provide raw materials that are used to produce a wealth of consumer-based products in addition to textiles including cotton foodstuffs, livestock feed, fertilizer and paper. The production, marketing, consumption and trade of cotton-based products generate an excess of $100 billion annually in the U.S. alone, making cotton the number one value-added crop.

Even though 90% of cotton’s value as a crop resides in the fiber (lint), yield and fiber quality has declined due to general erosion in genetic diversity of cotton varieties, and an increased vulnerability of the crop to environmental conditions.

There are many varieties of cotton plant, from which cotton fibers with a range of characteristics can be obtained and used for various applications. Cotton fibers may be characterized according to a variety of properties, some of which are considered highly desirable within the textile industry for the production of increasingly high quality products and optimal exploitation of modem spinning technologies. Commercially desirable properties include length, length uniformity, fineness, maturity ratio, decreased fuzz fiber production, micronaire, bundle strength, and single fiber strength. Much effort has been put into the improvement of the characteristics of cotton fibers mainly focusing on fiber length and fiber fineness. In particular, there is a great demand for cotton fibers of specific lengths.

A cotton fiber is composed of a single cell that has differentiated from an epidermal cell of the seed coat, developing through four stages, i.e., initiation, elongation, secondary cell wall thickening and maturation stages. More specifically, the elongation of a cotton fiber commences in the epidermal cell of the ovule immediately following flowering, after which the cotton fiber rapidly elongates for approximately 21 days. Fiber elongation is then terminated, and a secondary cell wall is formed and grown through maturation to become a mature cotton fiber.

Several candidate genes which are associated with the elongation, formation, quality and yield of cotton fibers were disclosed in various patent applications such as U.S. Pat. No. 5,880,100 and U.S. Pat. applications Ser. Nos. 08/580,545, 08/867,484 and 09/262,653 (describing genes involved in cotton fiber elongation stage); WO0245485 (improving fiber quality by modulating sucrose synthase); U.S. Pat. No. 6,472,588 and WO0117333 (increasing fiber quality by transformation with a DNA encoding sucrose phosphate synthase); WO9508914 (using a fiber-specific promoter and a coding sequence encoding cotton peroxidase); WO9626639 (using an ovary specific promoter sequence to express plant growth modifying hormones in cotton ovule tissue, for altering fiber quality characteristics such as fiber dimension and strength); U.S. Pat. No. 5,981,834, U.S. Pat. No. 5,597,718, U.S. Pat. No. 5,620,882, U.S. Pat. No. 5,521,708 and U.S. Pat. No. 5,495,070 (coding sequences to alter the fiber characteristics of transgenic fiber producing plants); U.S. Pat. applications U.S. 2002049999 and U.S. 2003074697 (expressing a gene coding for endoxyloglucan transferase, catalase or peroxidase for improving cotton fiber characteristics); WO 01/40250 (improving cotton fiber quality by modulating transcription factor gene expression); WO 96/40924 (a cotton fiber transcriptional initiation regulatory region associated which is expressed in cotton fiber); EP0834566 (a gene which controls the fiber formation mechanism in cotton plant); WO2005/121364 (improving cotton fiber quality by modulating gene expression); WO2008/075364 (improving fiber quality, yield/biomass/vigor and/or abiotic stress tolerance of plants).

WO publication No. 2004/104162 discloses methods of increasing abiotic stress tolerance and/or biomass in plants and plants generated thereby.

WO publication No. 2004/111183 discloses nucleotide sequences for regulating gene expression in plant trichomes and constructs and methods utilizing same.

WO publication No. 2004/081173 discloses novel plant derived regulatory sequences and constructs and methods of using such sequences for directing expression of exogenous polynucleotide sequences in plants.

WO publication No. 2005/121364 discloses polynucleotides and polypeptides involved in plant fiber development and methods of using same for improving fiber quality, yield and/or biomass of a fiber producing plant.

WO publication No. 2007/049275 discloses isolated polypeptides, polynucleotides encoding same, transgenic plants expressing same and methods of using same for increasing fertilizer use efficiency, plant abiotic stress tolerance and biomass.

WO publication No. 2007/020638 discloses methods of increasing abiotic stress tolerance and/or biomass in plants and plants generated thereby.

WO publication No. 2008/122980 discloses genes constructs and methods for increasing oil content, growth rate and biomass of plants.

WO publication No. 2008/075364 discloses polynucleotides involved in plant fiber development and methods of using same.

WO publication No. 2009/083958 discloses methods of increasing water use efficiency, fertilizer use efficiency, biotic/abiotic stress tolerance, yield and biomass in plant and plants generated thereby.

WO publication No. 2009/141824 discloses isolated polynucleotides and methods using same for increasing plant utility.

WO publication No. 2009/013750 discloses genes, constructs and methods of increasing abiotic stress tolerance, biomass and/or yield in plants generated thereby.

WO publication No. 2010/020941 discloses methods of increasing nitrogen use efficiency, abiotic stress tolerance, yield and biomass in plants and plants generated thereby.

WO publication No. 2010/076756 discloses isolated polynucleotides for increasing abiotic stress tolerance, yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, and/or nitrogen use efficiency of a plant.

WO2010/100595 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing plant yield and/or agricultural characteristics.

WO publication No. 2010/049897 discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.

WO2010/143138 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, vigor, biomass, oil content, abiotic stress tolerance and/or water use efficiency.

WO publication No. 2011/080674 discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.

WO2011/015985 publication discloses polynucleotides and polypeptides for increasing desirable plant qualities.

WO2011/135527 publication discloses isolated polynucleotides and polypeptides for increasing plant yield and/or agricultural characteristics.

WO2012/028993 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency, yield, growth rate, vigor, biomass, oil content, and/or abiotic stress tolerance.

WO2012/085862 publication discloses isolated polynucleotides and polypeptides, and methods of using same for improving plant properties.

WO2012/150598 publication discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.

WO2013/027223 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing plant yield and/or agricultural characteristics.

WO2013/080203 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency, yield, growth rate, vigor, biomass, oil content, and/or abiotic stress tolerance.

WO2013/098819 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing yield of plants.

WO2013/128448 publication discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.

SUMMARY OF THE INVENTION

According to an aspect of some embodiments of the present invention there is provided a method of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least 80% identical to SEQ ID NO: 496-794, 2898-3645, 3647-4854 or 4855, thereby increasing the nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide selected from the group consisting of SEQ ID NOs: 496-794, 2898-4854 and 4855, thereby increasing the nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least 80% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 496-794, 2898-3645, 3647-4854 and 4855, wherein the crop plant is derived from plants selected for increased nitrogen use efficiency, increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased nitrogen use efficiency, increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased abiotic stress tolerance, thereby producing the crop.

According to an aspect of some embodiments of the present invention there is provided a method of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence at least 80% identical to SEQ ID NO: 1-495, 795-2896 or 2897, thereby increasing the nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-495, 795-2896 and 2897, thereby increasing the nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide which comprises a nucleic acid sequence which is at least 80% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-495, 795-2896 and 2897, wherein the crop plant is derived from plants (parent plants) selected for increased nitrogen use efficiency, increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased nitrogen use efficiency, increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased abiotic stress tolerance, thereby producing the crop.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises an amino acid sequence at least 80% homologous to the amino acid sequence set forth in SEQ ID NO:496-794, 2898-3645, 3647-4854 or 4855, wherein the amino acid sequence is capable of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises the amino acid sequence selected from the group consisting of SEQ ID NOs: 496-794, 2898-4854 and 4855.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising a nucleic acid sequence at least 80% identical to SEQ ID NO: 1-495, 795-2896 or 2897, wherein the nucleic acid sequence is capable of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-495, 795-2896 and 2897.

According to an aspect of some embodiments of the present invention there is provided a nucleic acid construct comprising the isolated polynucleotide of some embodiments of the invention, and a promoter for directing transcription of the nucleic acid sequence in a host cell.

According to an aspect of some embodiments of the present invention there is provided an isolated polypeptide comprising an amino acid sequence at least 80% homologous to SEQ ID NO: 496-794, 2898-3645, 3647-4854 or 4855, wherein the amino acid sequence is capable of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant.

According to an aspect of some embodiments of the present invention there is provided an isolated polypeptide comprising the amino acid sequence selected from the group consisting of SEQ ID NOs: 496-794, 2898-4854 and 4855.

According to an aspect of some embodiments of the present invention there is provided a plant cell exogenously expressing the polynucleotide of some embodiments of the invention, or the nucleic acid construct of some embodiments of the invention.

According to an aspect of some embodiments of the present invention there is provided a plant cell exogenously expressing the polypeptide of some embodiments of the invention.

According to an aspect of some embodiments of the present invention there is provided a transgenic plant comprising the nucleic acid construct of some embodiments of the invention or the plant cell of some embodiments of the invention.

According to an aspect of some embodiments of the present invention there is provided a method of growing a crop, the method comprising seeding seeds and/or planting plantlets of a plant transformed with the isolated polynucleotide of some embodiments of the invention, or with the nucleic acid construct of some embodiments of the invention, wherein the plant is derived from plants selected for at least one trait selected from the group consisting of: increased nitrogen use efficiency, increased abiotic stress tolerance, increased biomass, increased growth rate, increased vigor, increased yield and increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and increased oil content as compared to a non-transformed plant, thereby growing the crop.

According to an aspect of some embodiments of the present invention there is provided a method of selecting a transformed plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:

• (a) providing plants transformed with an exogenous polynucleotide encoding a polypeptide comprising an amino acid sequence at least 80% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs:496-794, 2898-3645, 3647-4854 and 4855,
• (b) selecting from the plants a plant having nitrogen use efficiency, increased yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance,
• thereby selecting the plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

According to an aspect of some embodiments of the present invention there is provided a method of selecting a transformed plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:

• (a) providing plants transformed with an exogenous polynucleotide encoding a polypeptide comprising an amino acid sequence at least 80% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-495, 795-2896 and 2897,
• (b) selecting from the plants a plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance,
• thereby selecting the plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

According to some embodiments of the invention, the nucleic acid sequence encodes an amino acid sequence selected from the group consisting of SEQ ID NOs: 496-794, 2898-4854 and 4855.

According to some embodiments of the invention, the nucleic acid sequence is selected from the group consisting of SEQ ID NOs: 1-495, 795-2896 and 2897.

According to some embodiments of the invention, the polynucleotide consists of the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-495, 795-2896 and 2897.

According to some embodiments of the invention, the nucleic acid sequence encodes the amino acid sequence selected from the group consisting of SEQ ID NOs: 496-794, 2898-4854 and 4855.

According to some embodiments of the invention, the host cell is a plant cell.

According to some embodiments of the invention, the plant cell forms part of a plant.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under the abiotic stress.

According to some embodiments of the invention, the abiotic stress is selected from the group consisting of salinity, drought, osmotic stress, water deprivation, flood, etiolation, low temperature, high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency, nitrogen deficiency, nutrient excess, atmospheric pollution and UV irradiation.

According to some embodiments of the invention, the yield comprises seed yield or oil yield.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under nitrogen-limiting conditions.

According to some embodiments of the invention, the promoter is heterologous to the isolated polynucleotide and/or to the host cell.

According to some embodiments of the invention, the isolated polynucleotide is heterologous to the plant cell.

According to some embodiments of the invention, the non-transformed plant is a wild type plant of identical genetic background.

According to some embodiments of the invention, the non-transformed plant is a wild type plant of the same species.

According to some embodiments of the invention, the non-transformed plant is grown under identical growth conditions.

According to some embodiments of the invention, the method further comprising selecting a plant having an increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

Unless otherwise defined, all technical and/or scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the invention pertains. Although methods and materials similar or equivalent to those described herein can be used in the practice or testing of embodiments of the invention, exemplary methods and/or materials are described below. In case of conflict, the patent specification, including definitions, will control. In addition, the materials, methods, and examples are illustrative only and are not intended to be necessarily limiting.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

Some embodiments of the invention are herein described, by way of example only, with reference to the accompanying drawings. With specific reference now to the drawings in detail, it is stressed that the particulars shown are by way of example and for purposes of illustrative discussion of embodiments of the invention. In this regard, the description taken with the drawings makes apparent to those skilled in the art how embodiments of the invention may be practiced.

In the Drawings

FIG. 1 is a schematic illustration of the modified pGI binary plasmid containing the new At6669 promoter (SEQ ID NO:4880) and the GUSintron (pQYN 6669) used for expressing the isolated polynucleotide sequences of the invention. RB - T-DNA right border; LB - T-DNA left border; MCS - Multiple cloning site; RE - any restriction enzyme; NOS pro = nopaline synthase promoter; NPT-II = neomycin phosphotransferase gene; NOS ter = nopaline synthase terminator; Poly-A signal (polyadenylation signal); GUSintron - the GUS reporter gene (coding sequence and intron). The isolated polynucleotide sequences of the invention were cloned into the vector while replacing the GUSintron reporter gene.

FIG. 2 is a schematic illustration of the modified pGI binary plasmid containing the new At6669 promoter (SEQ ID NO: 4880) (pQFN or pQFNc) used for expressing the isolated polynucleotide sequences of the invention. RB - T-DNA right border; LB -T-DNA left border; MCS - Multiple cloning site; RE - any restriction enzyme; NOS pro = nopaline synthase promoter; NPT-II = neomycin phosphotransferase gene; NOS ter = nopaline synthase terminator; Poly-A signal (polyadenylation signal); The isolated polynucleotide sequences of the invention were cloned into the MCS of the vector.

FIGS. 3A-3F are images depicting visualization of root development of transgenic plants exogenously expressing the polynucleotide of some embodiments of the invention when grown in transparent agar plates under normal (FIGS. 3A-3B), osmotic stress (15% PEG; FIGS. 3C-3D) or nitrogen-limiting (FIGS. 3E-3F) conditions. The different transgenes were grown in transparent agar plates for 17 days (7 days nursery and 10 days after transplanting). The plates were photographed every 3-4 days starting at day 1 after transplanting. FIG. 3A - An image of a photograph of plants taken following 10 after transplanting days on agar plates when grown under normal (standard) conditions. FIG. 3B - An image of root analysis of the plants shown in FIG. 3A in which the lengths of the roots measured are represented by arrows. FIG. 3C - An image of a photograph of plants taken following 10 days after transplanting on agar plates, grown under high osmotic (PEG 15%) conditions. FIG. 3D - An image of root analysis of the plants shown in FIG. 3C in which the lengths of the roots measured are represented by arrows. FIG. 3E - An image of a photograph of plants taken following 10 days after transplanting on agar plates, grown under low nitrogen conditions. FIG. 3F - An image of root analysis of the plants shown in FIG. 3E in which the lengths of the roots measured are represented by arrows.

FIG. 4 is a schematic illustration of the modified pGI binary plasmid containing the Root Promoter (pQNa RP) used for expressing the isolated polynucleotide sequences of the invention. RB - T-DNA right border; LB - T-DNA left border; NOS pro = nopaline synthase promoter; NPT-II = neomycin phosphotransferase gene; NOS ter = nopaline synthase terminator; Poly-A signal (polyadenylation signal); The isolated polynucleotide sequences according to some embodiments of the invention were cloned into the MCS (Multiple cloning site) of the vector.

FIG. 5 is a schematic illustration of the pQYN plasmid.

FIG. 6 is a schematic illustration of the pQFN plasmid.

FIG. 7 is a schematic illustration of the pQFYN plasmid.

FIG. 8 is a schematic illustration of the modified pGI binary plasmid (pQXNc) used for expressing the isolated polynucleotide sequences of some embodiments of the invention. RB - T-DNA right border; LB - T-DNA left border; NOS pro = nopaline synthase promoter; NPT-II = neomycin phosphotransferase gene; NOS ter = nopaline synthase terminator; RE = any restriction enzyme; Poly-A signal (polyadenylation signal); 35S - the 35S promoter (pqfnc; SEQ ID NO: 4876). The isolated polynucleotide sequences of some embodiments of the invention were cloned into the MCS (Multiple cloning site) of the vector.

FIGS. 9A-9B are schematic illustrations of the pEBbVNi tDNA (FIG. 9A) and the pEBbNi tDNA (FIG. 9B) plasmids used in the Brachypodium experiments. pEBbVNi tDNA (FIG. 9A) was used for expression of the isolated polynucleotide sequences of some embodiments of the invention in Brachypodium. pEBbNi tDNA (FIG. 9B) was used for transformation into Brachypodium as a negative control. “RB” = right border; “2LBregion” = 2 repeats of left border; “35S” = 35S promoter (SEQ ID NO:4892); “NOS ter” = nopaline synthase terminator; “Bar ORF” - BAR open reading frame (GenBank Accession No. JQ293091.1; SEQ ID NO:5436); The isolated polynucleotide sequences of some embodiments of the invention were cloned into the Multiple cloning site of the vector using one or more of the indicated restriction enzyme sites.

DESCRIPTION OF SPECIFIC EMBODIMENTS OF THE INVENTION

The present inventors have identified novel polypeptides and polynucleotides which can be used to generate nucleic acid constructs, transgenic plants and to increase nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance and/or water use efficiency of a plant.

Thus, as shown in the Examples section which follows, the present inventors have utilized bioinformatics tools to identify polynucleotides which enhance/ increase fertilizer use efficiency (e.g., nitrogen use efficiency), yield (e.g., seed yield, oil yield, oil content), growth rate, biomass, vigor, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant. Genes which affect the trait-of-interest were identified (SEQ ID NOs: 496-794) for polypeptides; and SEQ ID NOs: 1-495 (for polynucleotides) based on expression profiles of genes of several Arabidopsis, Barley, Sorghum, Maize, tomato, and Foxtail millet ecotypes and accessions in various tissues and growth conditions, homology with genes known to affect the trait-of-interest and using digital expression profile in specific tissues and conditions (Tables 1, and 3-99, Examples 1 and 3-11 of the Examples section which follows). Homologous (e.g., orthologous) polypeptides and polynucleotides having the same function were also identified [SEQ ID NOs: 2898-4855 (for polypeptides), and SEQ ID NOs: 795-2897 (for polynucleotides); Table 2, Example 2 of the Examples section which follows]. The polynucleotides of some embodiments of the invention were cloned into binary vectors (Example 12, Table 100), and were further transformed into Arabidopsis and Brachypodium plants (Examples 13-15). Transgenic plants over-expressing the identified polynucleotides were found to exhibit increased biomass, growth rate, vigor and yield under normal growth conditions or under nitrogen limiting growth conditions (Tables 101-128; Examples 16-20), and increased tolerance to abiotic stress conditions (e.g., nutrient deficiency) as compared to control plants grown under the same growth conditions. Altogether, these results suggest the use of the novel polynucleotides and polypeptides of the invention (e.g., SEQ ID NOs: 496-794 and 2898-4855 and SEQ ID NOs: 1-495 and 795-2897) for increasing nitrogen use efficiency, fertilizer use efficiency, yield (e.g., oil yield, seed yield and oil content), growth rate, biomass, vigor, fiber yield, fiber quality, fiber length, photosynthetic capacity, water use efficiency and/or abiotic stress tolerance of a plant.

Thus, according to an aspect of some embodiments of the invention, there is provided method of increasing fertilizer use efficiency (e.g., nitrogen use efficiency), oil content, yield, growth rate, biomass, vigor, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 496-794, 2898-3645, 3647-4854 and 4855, thereby increasing the fertilizer use efficiency (e.g., nitrogen use efficiency), oil content, yield, growth rate, biomass, vigor, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.

As used herein the phrase “plant yield” refers to the amount (e.g., as determined by weight or size) or quantity (numbers) of tissues or organs produced per plant or per growing season. Hence increased yield could affect the economic benefit one can obtain from the plant in a certain growing area and/or growing time.

It should be noted that a plant yield can be affected by various parameters including, but not limited to, plant biomass; plant vigor; growth rate; seed yield; seed or grain quantity; seed or grain quality; oil yield; content of oil, starch and/or protein in harvested organs (e.g., seeds or vegetative parts of the plant); number of flowers (florets) per panicle (expressed as a ratio of number of filled seeds over number of primary panicles); harvest index; number of plants grown per area; number and size of harvested organs per plant and per area; number of plants per growing area (density); number of harvested organs in field; total leaf area; carbon assimilation and carbon partitioning (the distribution/allocation of carbon within the plant); resistance to shade; number of harvestable organs (e.g. seeds), seeds per pod, weight per seed; and modified architecture [such as increase stalk diameter, thickness or improvement of physical properties (e.g. elasticity)].

As used herein the phrase “seed yield” refers to the number or weight of the seeds per plant, seeds per pod, or per growing area or to the weight of a single seed, or to the oil extracted per seed. Hence seed yield can be affected by seed dimensions (e.g., length, width, perimeter, area and/or volume), number of (filled) seeds and seed filling rate and by seed oil content. Hence increase seed yield per plant could affect the economic benefit one can obtain from the plant in a certain growing area and/or growing time; and increase seed yield per growing area could be achieved by increasing seed yield per plant, and/or by increasing number of plants grown on the same given area.

The term “seed” (also referred to as “grain” or “kernel”) as used herein refers to a small embryonic plant enclosed in a covering called the seed coat (usually with some stored food), the product of the ripened ovule of gymnosperm and angiosperm plants which occurs after fertilization and some growth within the mother plant.

The phrase “oil content” as used herein refers to the amount of lipids in a given plant organ, either the seeds (seed oil content) or the vegetative portion of the plant (vegetative oil content) and is typically expressed as percentage of dry weight (10% humidity of seeds) or wet weight (for vegetative portion).

It should be noted that oil content is affected by intrinsic oil production of a tissue (e.g., seed, vegetative portion), as well as the mass or size of the oil-producing tissue per plant or per growth period.

In one embodiment, increase in oil content of the plant can be achieved by increasing the size/mass of a plant’s tissue(s) which comprise oil per growth period. Thus, increased oil content of a plant can be achieved by increasing the yield, growth rate, biomass and vigor of the plant.

As used herein the phrase “plant biomass” refers to the amount (e.g., measured in grams of air-dry tissue) of a tissue produced from the plant in a growing season, which could also determine or affect the plant yield or the yield per growing area. An increase in plant biomass can be in the whole plant or in parts thereof such as aboveground (harvestable) parts, vegetative biomass, roots and seeds.

As used herein the phrase “growth rate” refers to the increase in plant organ/tissue size per time (can be measured in cm² per day or cm/day).

As used herein the phrase “photosynthetic capacity” (also known as “A_max”) is a measure of the maximum rate at which leaves are able to fix carbon during photosynthesis. It is typically measured as the amount of carbon dioxide that is fixed per square meter per second, for example as µmol m^-2 sec^-1. Plants are able to increase their photosynthetic capacity by several modes of action, such as by increasing the total leaves area (e.g., by increase of leaves area, increase in the number of leaves, and increase in plant’s vigor, e.g., the ability of the plant to grow new leaves along time course) as well as by increasing the ability of the plant to efficiently execute carbon fixation in the leaves. Hence, the increase in total leaves area can be used as a reliable measurement parameter for photosynthetic capacity increment.

As used herein the phrase “plant vigor” refers to the amount (measured by weight) of tissue produced by the plant in a given time. Hence increased vigor could determine or affect the plant yield or the yield per growing time or growing area. In addition, early vigor (seed and/or seedling) results in improved field stand.

Improving early vigor is an important objective of modern rice breeding programs in both temperate and tropical rice cultivars. Long roots are important for proper soil anchorage in water-seeded rice. Where rice is sown directly into flooded fields, and where plants must emerge rapidly through water, longer shoots are associated with vigour. Where drill-seeding is practiced, longer mesocotyls and coleoptiles are important for good seedling emergence. The ability to engineer early vigor into plants would be of great importance in agriculture. For example, poor early vigor has been a limitation to the introduction of maize (Zea mays L.) hybrids based on Corn Belt germplasm in the European Atlantic.

It should be noted that a plant yield can be determined under stress (e.g., abiotic stress, nitrogen-limiting conditions) and/or non-stress (normal) conditions.

As used herein, the phrase “non-stress conditions” refers to the growth conditions (e.g., water, temperature, light-dark cycles, humidity, salt concentration, fertilizer concentration in soil, nutrient supply such as nitrogen, phosphorous and/or potassium), that do not significantly go beyond the everyday climatic and other abiotic conditions that plants may encounter, and which allow optimal growth, metabolism, reproduction and/or viability of a plant at any stage in its life cycle (e.g., in a crop plant from seed to a mature plant and back to seed again). Persons skilled in the art are aware of normal soil conditions and climatic conditions for a given plant in a given geographic location. It should be noted that while the non-stress conditions may include some mild variations from the optimal conditions (which vary from one type/species of a plant to another), such variations do not cause the plant to cease growing without the capacity to resume growth.

The phrase “abiotic stress” as used herein refers to any adverse effect on metabolism, growth, reproduction and/or viability of a plant. Accordingly, abiotic stress can be induced by suboptimal environmental growth conditions such as, for example, salinity, osmotic stress, water deprivation, drought, flooding, freezing, low or high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency (e.g., nitrogen deficiency or limited nitrogen), atmospheric pollution or UV irradiation. The implications of abiotic stress are discussed in the Background section.

The phrase “abiotic stress tolerance” as used herein refers to the ability of a plant to endure an abiotic stress without suffering a substantial alteration in metabolism, growth, productivity and/or viability.

Plants are subject to a range of environmental challenges. Several of these, including salt stress, general osmotic stress, drought stress and freezing stress, have the ability to impact whole plant and cellular water availability. Not surprisingly, then, plant responses to this collection of stresses are related. Zhu (2002) Ann. Rev. Plant Biol. 53: 247-273 et al. note that “most studies on water stress signaling have focused on salt stress primarily because plant responses to salt and drought are closely related and the mechanisms overlap”. Many examples of similar responses and pathways to this set of stresses have been documented. For example, the CBF transcription factors have been shown to condition resistance to salt, freezing and drought (Kasuga et al. (1999) Nature Biotech. 17: 287-291). The Arabidopsis rd29B gene is induced in response to both salt and dehydration stress, a process that is mediated largely through an ABA signal transduction process (Uno et al. (2000) Proc. Natl. Acad. Sci. USA 97: 11632-11637), resulting in altered activity of transcription factors that bind to an upstream element within the rd29B promoter. In Mesembryanthemum crystallinum (ice plant), Patharker and Cushman have shown that a calcium-dependent protein kinase (McCDPK1) is induced by exposure to both drought and salt stresses (Patharker and Cushman (2000) Plant J. 24: 679-691). The stress-induced kinase was also shown to phosphorylate a transcription factor, presumably altering its activity, although transcript levels of the target transcription factor are not altered in response to salt or drought stress. Similarly, Saijo et al. demonstrated that a rice salt/drought-induced calmodulin-dependent protein kinase (OsCDPK7) conferred increased salt and drought tolerance to rice when overexpressed (Saijo et al. (2000) Plant J. 23: 319-327).

Exposure to dehydration invokes similar survival strategies in plants as does freezing stress (see, for example, Yelenosky (1989) Plant Physiol 89: 444-451) and drought stress induces freezing tolerance (see, for example, Siminovitch et al. (1982) Plant Physiol 69: 250-255; and Guy et al. (1992) Planta 188: 265-270). In addition to the induction of cold-acclimation proteins, strategies that allow plants to survive in low water conditions may include, for example, reduced surface area, or surface oil or wax production. In another example increased solute content of the plant prevents evaporation and water loss due to heat, drought, salinity, osmoticum, and the like therefore providing a better plant tolerance to the above stresses.

It will be appreciated that some pathways involved in resistance to one stress (as described above), will also be involved in resistance to other stresses, regulated by the same or homologous genes. Of course, the overall resistance pathways are related, not identical, and therefore not all genes controlling resistance to one stress will control resistance to the other stresses. Nonetheless, if a gene conditions resistance to one of these stresses, it would be apparent to one skilled in the art to test for resistance to these related stresses. Methods of assessing stress resistance are further provided in the Examples section which follows.

As used herein the phrase “water use efficiency (WUE)” refers to the level of organic matter produced per unit of water consumed by the plant, i.e., the dry weight of a plant in relation to the plant’s water use, e.g., the biomass produced per unit transpiration.

As used herein the phrase “fertilizer use efficiency” refers to the metabolic process(es) which lead to an increase in the plant’s yield, biomass, vigor, and growth rate per fertilizer unit applied. The metabolic process can be the uptake, spread, absorbent, accumulation, relocation (within the plant) and use of one or more of the minerals and organic moieties absorbed by the plant, such as nitrogen, phosphates and/or potassium.

As used herein the phrase “fertilizer-limiting conditions” refers to growth conditions which include a level (e.g., concentration) of a fertilizer applied which is below the level needed for normal plant metabolism, growth, reproduction and/or viability.

As used herein the phrase “nitrogen use efficiency (NUE)” refers to the metabolic process(es) which lead to an increase in the plant’s yield, biomass, vigor, and growth rate per nitrogen unit applied. The metabolic process can be the uptake, spread, absorbent, accumulation, relocation (within the plant) and use of nitrogen absorbed by the plant.

As used herein the phrase “nitrogen-limiting conditions” refers to growth conditions which include a level (e.g., concentration) of nitrogen (e.g., ammonium or nitrate) applied which is below the level needed for normal plant metabolism, growth, reproduction and/or viability.

Improved plant NUE and FUE is translated in the field into either harvesting similar quantities of yield, while implementing less fertilizers, or increased yields gained by implementing the same levels of fertilizers. Thus, improved NUE or FUE has a direct effect on plant yield in the field. Thus, the polynucleotides and polypeptides of some embodiments of the invention positively affect plant yield, seed yield, and plant biomass. In addition, the benefit of improved plant NUE will certainly improve crop quality and biochemical constituents of the seed such as protein yield and oil yield.

It should be noted that improved ABST will confer plants with improved vigor also under non-stress conditions, resulting in crops having improved biomass and/or yield e.g., elongated fibers for the cotton industry, higher oil content.

The term “fiber” is usually inclusive of thick-walled conducting cells such as vessels and tracheids and to fibrillar aggregates of many individual fiber cells. Hence, the term “fiber” refers to (a) thick-walled conducting and non-conducting cells of the xylem; (b) fibers of extraxylary origin, including those from phloem, bark, ground tissue, and epidermis; and (c) fibers from stems, leaves, roots, seeds, and flowers or inflorescences (such as those of Sorghum vulgare used in the manufacture of brushes and brooms).

Example of fiber producing plants, include, but are not limited to, agricultural crops such as cotton, silk cotton tree (Kapok, Ceiba pentandra), desert willow, creosote bush, winterfat, balsa, kenaf, roselle, jute, sisal abaca, flax, corn, sugar cane, hemp, ramie, kapok, coir, bamboo, spanish moss and Agave spp. (e.g. sisal).

As used herein the phrase “fiber quality” refers to at least one fiber parameter which is agriculturally desired, or required in the fiber industry (further described hereinbelow). Examples of such parameters, include but are not limited to, fiber length, fiber strength, fiber fitness, fiber weight per unit length, maturity ratio and uniformity (further described hereinbelow).

Cotton fiber (lint) quality is typically measured according to fiber length, strength and fineness. Accordingly, the lint quality is considered higher when the fiber is longer, stronger and finer.

As used herein the phrase “fiber yield” refers to the amount or quantity of fibers produced from the fiber producing plant.

As used herein the term “increasing” refers to at least about 2%, at least about 3 %, at least about 4%, at least about 5%, at least about 10%, at least about 15%, at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, increase in fertilizer use efficiency, nitrogen use efficiency, yield, seed yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant as compared to a native plant or a wild type plant [i.e., a plant not modified with the biomolecules (polynucleotide or polypeptides) of the invention, e.g., a non-transformed plant of the same species which is grown under the same (e.g., identical) growth conditions].

The phrase “expressing within the plant an exogenous polynucleotide” as used herein refers to upregulating the expression level of an exogenous polynucleotide within the plant by introducing the exogenous polynucleotide into a plant cell or plant and expressing by recombinant means, as further described herein below.

As used herein “expressing” refers to expression at the mRNA and optionally polypeptide level.

As used herein, the phrase “exogenous polynucleotide” refers to a heterologous nucleic acid sequence which may not be naturally expressed within the plant (e.g., a nucleic acid sequence from a different species) or which overexpression in the plant is desired. The exogenous polynucleotide may be introduced into the plant in a stable or transient manner, so as to produce a ribonucleic acid (RNA) molecule and/or a polypeptide molecule. It should be noted that the exogenous polynucleotide may comprise a nucleic acid sequence which is identical or partially homologous to an endogenous nucleic acid sequence of the plant.

The term “endogenous” as used herein refers to any polynucleotide or polypeptide which is present and/or naturally expressed within a plant or a cell thereof.

According to some embodiments of the invention, the exogenous polynucleotide of the invention comprises a nucleic acid sequence encoding a polypeptide having an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 496-794, 2898-3645, 3647-4854 and 4855.

Homologous sequences include both orthologous and paralogous sequences. The term “paralogous” relates to gene-duplications within the genome of a species leading to paralogous genes. The term “orthologous” relates to homologous genes in different organisms due to ancestral relationship. Thus, orthologs are evolutionary counterparts derived from a single ancestral gene in the last common ancestor of given two species (Koonin EV and Galperin MY (Sequence - Evolution - Function: Computational Approaches in Comparative Genomics. Boston: Kluwer Academic; 2003. Chapter 2, Evolutionary Concept in Genetics and Genomics. Available from: ncbi (dot) nlm (dot) nih (dot) gov/books/NBK20255) and therefore have great likelihood of having the same function.

One option to identify orthologues in monocot plant species is by performing a reciprocal blast search. This may be done by a first blast involving blasting the sequence-of-interest against any sequence database, such as the publicly available NCBI database which may be found at: ncbi (dot) nlm (dot) nih (dot) gov. If orthologues in rice were sought, the sequence-of-interest would be blasted against, for example, the 28,469 full-length cDNA clones from Oryza sativa Nipponbare available at NCBI. The blast results may be filtered. The full-length sequences of either the filtered results or the non-filtered results are then blasted back (second blast) against the sequences of the organism from which the sequence-of-interest is derived. The results of the first and second blasts are then compared. An orthologue is identified when the sequence resulting in the highest score (best hit) in the first blast identifies in the second blast the query sequence (the original sequence-of-interest) as the best hit. Using the same rational a paralogue (homolog to a gene in the same organism) is found. In case of large sequence families, the ClustalW program may be used [ebi (dot) ac (dot) uk/Tools/clustalw2/index (dot) html], followed by a neighbor-joining tree (wikipedia (dot) org/wiki/Neighbor-joining) which helps visualizing the clustering.

Homology (e.g., percent homology, sequence identity + sequence similarity) can be determined using any homology comparison software computing a pairwise sequence alignment.

As used herein, “sequence identity” or “identity” in the context of two nucleic acid or polypeptide sequences includes reference to the residues in the two sequences which are the same when aligned. When percentage of sequence identity is used in reference to proteins it is recognized that residue positions which are not identical often differ by conservative amino acid substitutions, where amino acid residues are substituted for other amino acid residues with similar chemical properties (e.g. charge or hydrophobicity) and therefore do not change the functional properties of the molecule. Where sequences differ in conservative substitutions, the percent sequence identity may be adjusted upwards to correct for the conservative nature of the substitution. Sequences which differ by such conservative substitutions are said to have “sequence similarity” or “similarity”. Means for making this adjustment are well-known to those of skill in the art. Typically this involves scoring a conservative substitution as a partial rather than a full mismatch, thereby increasing the percentage sequence identity. Thus, for example, where an identical amino acid is given a score of 1 and a non-conservative substitution is given a score of zero, a conservative substitution is given a score between zero and 1. The scoring of conservative substitutions is calculated, e.g., according to the algorithm of Henikoff S and Henikoff JG. [Amino acid substitution matrices from protein blocks. Proc. Natl. Acad. Sci. U.S.A. 1992, 89(22): 10915-9].

Identity (e.g., percent homology) can be determined using any homology comparison software, including for example, the BlastN software of the National Center of Biotechnology Information (NCBI) such as by using default parameters.

According to some embodiments of the invention, the identity is a global identity, i.e., an identity over the entire amino acid or nucleic acid sequences of the invention and not over portions thereof.

According to some embodiments of the invention, the term “homology” or “homologous” refers to identity of two or more nucleic acid sequences; or identity of two or more amino acid sequences; or the identity of an amino acid sequence to one or more nucleic acid sequence.

According to some embodiments of the invention, the homology is a global homology, i.e., an homology over the entire amino acid or nucleic acid sequences of the invention and not over portions thereof.

The degree of homology or identity between two or more sequences can be determined using various known sequence comparison tools. Following is a non-limiting description of such tools which can be used along with some embodiments of the invention.

Pairwise global alignment was defined by S. B. Needleman and C. D. Wunsch, “A general method applicable to the search of similarities in the amino acid sequence of two proteins” Journal of Molecular Biology, 1970, pages 443-53, volume 48).

For example, when starting from a polypeptide sequence and comparing to other polypeptide sequences, the EMBOSS-6.0.1 Needleman-Wunsch algorithm (available from emboss(dot)sourceforge(dot)net/apps/cvs/emboss/apps/needle(dot)html) can be used to find the optimum alignment (including gaps) of two sequences along their entire length - a “Global alignment”. Default parameters for Needleman-Wunsch algorithm (EMBOSS-6.0.1) include: gapopen=10; gapextend=0.5; datafile= EBLOSUM62; brief=YES.

According to some embodiments of the invention, the parameters used with the EMBOSS-6.0.1 tool (for protein-protein comparison) include: gapopen=8; gapextend=2; datafile= EBLOSUM62; brief=YES.

According to some embodiments of the invention, the threshold used to determine homology using the EMBOSS-6.0.1 Needleman-Wunsch algorithm is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94 %, 95%, 96%, 97%, 98%, 99%, or 100%.

When starting from a polypeptide sequence and comparing to polynucleotide sequences, the OneModel FramePlus algorithm [Halperin, E., Faigler, S. and Gill-More, R. (1999) - FramePlus: aligning DNA to protein sequences. Bioinformatics, 15, 867-873) (available from biocceleration(dot)com/Products(dot)html] can be used with following default parameters: model=frame+_p2n.model mode=local.

According to some embodiments of the invention, the parameters used with the OneModel FramePlus algorithm are model=frame+_p2n.model, mode=qglobal.

According to some embodiments of the invention, the threshold used to determine homology using the OneModel FramePlus algorithm is 80%, 81%, 82%, 83 %, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.

When starting with a polynucleotide sequence and comparing to other polynucleotide sequences the EMBOSS-6.0.1 Needleman-Wunsch algorithm (available from emboss(dot)sourceforge(dot)net/apps/cvs/emboss/apps/needle(dot)html) can be used with the following default parameters: (EMBOSS-6.0.1) gapopen=10; gapextend=0.5; datafile= EDNAFULL; brief=YES.

According to some embodiments of the invention, the parameters used with the EMBOSS-6.0.1 Needleman-Wunsch algorithm are gapopen=10; gapextend=0.2; datafile= EDNAFULL; brief=YES.

According to some embodiments of the invention, the threshold used to determine homology using the EMBOSS-6.0.1 Needleman-Wunsch algorithm for comparison of polynucleotides with polynucleotides is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98 %, 99%, or 100%.

According to some embodiment, determination of the degree of homology further requires employing the Smith-Waterman algorithm (for protein-protein comparison or nucleotide-nucleotide comparison).

Default parameters for GenCore 6.0 Smith-Waterman algorithm include: model =sw.model.

According to some embodiments of the invention, the threshold used to determine homology using the Smith-Waterman algorithm is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97 %, 98%, 99%, or 100%.

According to some embodiments of the invention, the global homology is performed on sequences which are pre-selected by local homology to the polypeptide or polynucleotide of interest (e.g., 60% identity over 60% of the sequence length), prior to performing the global homology to the polypeptide or polynucleotide of interest (e.g., 80% global homology on the entire sequence). For example, homologous sequences are selected using the BLAST software with the Blastp and tBlastn algorithms as filters for the first stage, and the needle (EMBOSS package) or Frame+ algorithm alignment for the second stage. Local identity (Blast alignments) is defined with a very permissive cutoff - 60% Identity on a span of 60% of the sequences lengths because it is used only as a filter for the global alignment stage. In this specific embodiment (when the local identity is used), the default filtering of the Blast package is not utilized (by setting the parameter “-F F”).

In the second stage, homologs are defined based on a global identity of at least 80% to the core gene polypeptide sequence.

According to some embodiments of the invention, two distinct forms for finding the optimal global alignment for protein or nucleotide sequences are used:

• 1. Between two proteins (following the blastp filter): EMBOSS-6.0.1 Needleman-Wunsch algorithm with the following modified parameters: gapopen=8 gapextend=2. The rest of the parameters are unchanged from the default options listed here:
  • Standard (Mandatory) qualifiers:
    • [-asequence] sequence Sequence filename and optional format, or reference (input USA)
    • [-bsequence] seqall Sequence(s) filename and optional format, or reference (input USA)
    • -gapopen float [10.0 for any sequence]. The gap open penalty is the score taken away when a gap is created. The best value depends on the choice of comparison matrix. The default value assumes you are using the EBLOSUM62 matrix for protein sequences, and the EDNAFULL matrix for nucleotide sequences. (Floating point number from 1.0 to 100.0)
    • -gapextend float [0.5 for any sequence]. The gap extension, penalty is added to the standard gap penalty for each base or residue in the gap. This is how long gaps are penalized. Usually you will expect a few long gaps rather than many short gaps, so the gap extension penalty should be lower than the gap penalty. An exception is where one or both sequences are single reads with possible sequencing errors in which case you would expect many single base gaps. You can get this result by setting the gap open penalty to zero (or very low) and using the gap extension penalty to control gap scoring. (Floating point number from 0.0 to 10.0)
    • [-outfile] align [*.needle] Output alignment file name
  • Additional (Optional) qualifiers:
    • -datafile matrixf [EBLOSUM62 for protein, EDNAFULL for DNA]. This is the scoring matrix file used when comparing sequences. By default it is the file ‘EBLOSUM62’ (for proteins) or the file ‘EDNAFULL’ (for nucleic sequences). These files are found in the ‘data’ directory of the EMBOSS installation.

Advanced (Unprompted) qualifiers:
-[no]brief	boolean	[Y] Brief identity and similarity
Associated qualifiers:
“asequence” associated qualifiers
sbegin1	integer	Start of the sequence to be used
send1	integer	End of the sequence to be used
sreverse1	boolean	Reverse (if DNA)
sask1	boolean	Ask for begin/end/reverse
snucleotide1	boolean	Sequence is nucleotide
sprotein1	boolean	Sequence is protein
slower1	boolean	Make lower case
supper1	boolean	Make upper case
sformat1	string	Input sequence format
sdbname1	string	Database name
sid1	string	Entryname
ufo1	string	UFO features
fformat1	string	Features format
fopenfile1	string	Features file name
“bsequence” associated qualifiers
-sbegin2	integer	Start of each sequence to be used
send2	integer	End of each sequence to be used
sreverse2	boolean	Reverse (if DNA)
sask2	boolean	Ask for begin/end/reverse
snucleotide2	boolean	Sequence is nucleotide
sprotein2	boolean	Sequence is protein
slower2	boolean	Make lower case
supper2	boolean	Make upper case
sformat2	string	Input sequence format
sdbname2	string	Database name
sid2	string	Entryname
ufo2	string	UFO features
fformat2	string	Features format
fopenfile2	string	Features file name
“outfile” associated qualifiers
aformat3	string	Alignment format
aextension3	string	File name extension
adirectory3	string	Output directory
aname3	string	Base file name
awidth3	integer	Alignment width
aaccshow3	boolean	Show accession number in the header
adesshow3	boolean	Show description in the header
ausashow3	boolean	Show the full USA in the alignment
aglobal3	boolean	Show the full sequence in alignment
General qualifiers:
auto	boolean	Turn off prompts
stdout	boolean	Write first file to standard output
filter	boolean	Read first file from standard input, write first file to standard output
options	boolean	Prompt for standard and additional values
debug	boolean	Write debug output to program.dbg
verbose	boolean	Report some/full command line options
help	boolean	Report command line options. More information on associated and general qualifiers can be found with -help -verbose
warning	boolean	Report warnings
error	boolean	Report errors
fatal	boolean	Report fatal errors
die	boolean	Report dying program messages

2. Between a protein sequence and a nucleotide sequence (following the tblastn filter): GenCore 6.0 OneModel application utilizing the Frame+ algorithm with the following parameters: model=frame+_p2n.model mode=qglobal -q=protein.sequence -db= nucleotide.sequence. The rest of the parameters are unchanged from the default options:

• Usage: om -model=<model_fname> [-q=]query [-db=]database [options]
• model=<model_fname> Specifies the model that you want to run. All models supplied by Compugen are located in the directory $CGNROOT/models/. Valid command line parameters:
• dev=<dev_name> Selects the device to be used by the application.
  • Valid devices are:
  • bic - Bioccelerator (valid for SW, XSW, FRAME_N2P, and FRAME_P2N models).
  • xlg - BioXL/G (valid for all models except XSW).
  • xlp - BioXL/P (valid for SW, FRAME+_N2P, and FRAME_P2N models).
  • xlh - BioXL/H (valid for SW, FRAME+_N2P, and FRAME_P2N models).
  • soft - Software device (for all models).
• q=<query> Defines the query set. The query can be a sequence file or a database reference. You can specify a query by its name or by accession number. The format is detected automatically. However, you may specify a format using the -qfmt parameter. If you do not specify a query, the program prompts for one. If the query set is a database reference, an output file is produced for each sequence in the query.
• db=<database name> Chooses the database set. The database set can be a sequence file or a database reference. The database format is detected automatically. However, you may specify a format using -dfmt parameter.
• qacc Add this parameter to the command line if you specify query using accession numbers.
• dacc Add this parameter to the command line if you specify a database using accession numbers.
• dfmt/-qfmt=<format_type> Chooses the database/query format type. Possible formats are:
  • fasta - fasta with seq type auto-detected.
  • fastap - fasta protein seq.
  • fastan - fasta nucleic seq.
  • gcg - gcg format, type is auto-detected.
  • gcg9seq - gcg9 format, type is auto-detected.
  • gcg9seqp - gcg9 format protein seq.
  • gcg9seqn - gcg9 format nucleic seq.
  • nbrf - nbrf seq, type is auto-detected.
  • nbrfp - nbrf protein seq.
  • nbrfn - nbrf nucleic seq.
  • embl - embl and swissprot format.
  • genbank - genbank format (nucleic).
  • blast - blast format.
  • nbrf_gcg- nbrf-gcg seq, type is auto-detected.
  • nbrf_gcgp - nbrf-gcg protein seq.
  • nbrf_gcgn- nbrf-gcg nucleic seq.
  • raw - raw ascii sequence, type is auto-detected.
  • rawp - raw ascii protein sequence.
  • rawn - raw ascii nucleic sequence.
  • pir - pir codata format, type is auto-detected.
  • profile - gcg profile (valid only for -qfmt
  • in SW, XSW, FRAME_P2N, and FRAME+_P2N).
• out=<out_fname> The name of the output file.
• suffix=<name> The output file name suffix.
• gapop=<n> Gap open penalty. This parameter is not valid for FRAME+. For FrameSearch the default is 12.0. For other searches the default is 10.0.
• gapext=<n> Gap extend penalty. This parameter is not valid for FRAME+. For FrameSearch the default is 4.0. For other models: the default for protein searches is 0.05, and the default for nucleic searches is 1.0.
• qgapop=<n> The penalty for opening a gap in the query sequence. The default is 10.0. Valid for XSW.
• qgapext=<n> The penalty for extending a gap in the query sequence. The default is 0.05. Valid for XSW.
• start=<n> The position in the query sequence to begin the search.
• end=<n> The position in the query sequence to stop the search.
• qtrans Performs a translated search, relevant for a nucleic query against a protein database. The nucleic query is translated to six reading frames and a result is given for each frame. Valid for SW and XSW.
• dtrans Performs a translated search, relevant for a protein query against a DNA database. Each database entry is translated to six reading frames and a result is given for each frame. Valid for SW and XSW. Note: “-qtrans” and “-dtrans” options are mutually exclusive.
• matrix=<matrix_file> Specifies the comparison matrix to be used in the search. The matrix must be in the BLAST format. If the matrix file is not located in $CGNROOT/tables/matrix, specify the full path as the value of the -matrix parameter.
• trans=<transtab_name> Translation table. The default location for the table is $CGNROOT/tables/trans.
• onestrand Restricts the search to just the top strand of the query/database nucleic sequence.
• list=<n> The maximum size of the output hit list. The default is 50.
• docalign=<n> The number of documentation lines preceding each alignment. The default is 10.
• thr_score=<score_name> The score that places limits on the display of results. Scores that are smaller than -thr_min value or larger than -thr_max value are not shown. Valid options are: quality.
  • zscore.
  • escore.
• thr_max=<n> The score upper threshold. Results that are larger than -thr_max value are not shown.
• thr_min=<n> The score lower threshold. Results that are lower than -thr_min value are not shown.
• align=<n> The number of alignments reported in the output file.
• noalign Do not display alignment. Note: “-align” and “-noalign” parameters are mutually exclusive.
• outfmt=<format_name> Specifies the output format type. The default format is PFS. Possible values are:
  • PFS - PFS text format
  • FASTA - FASTA text format
  • BLAST - BLAST text format
• nonorm Do not perform score normalization.
• norm=<norm_name> Specifies the normalization method. Valid options are:
  • log - logarithm normalization.
  • std - standard normalization.
  • stat - Pearson statistical method.
  Note: “-nonorm” and “-norm” parameters cannot be used together. Note: Parameters -xgapop, -xgapext, -fgapop, -fgapext, -ygapop, -ygapext, -delop, and
• delext apply only to FRAME+.
• xgapop=<n> The penalty for opening a gap when inserting a codon (triplet). The default is 12.0.
• xgapext=<n> The penalty for extending a gap when inserting a codon (triplet). The default is 4.0.
• ygapop=<n> The penalty for opening a gap when deleting an amino acid. The default is 12.0.
• ygapext=<n> The penalty for extending a gap when deleting an amino acid. The default is 4.0.
• fgapop=<n> The penalty for opening a gap when inserting a DNA base. The default is 6.0.
• fgapext=<n> The penalty for extending a gap when inserting a DNA base. The default is 7.0.
• delop=<n> The penalty for opening a gap when deleting a DNA base. The default is 6.0.
• delext=<n> The penalty for extending a gap when deleting a DNA base. The default is 7.0.
• silent No screen output is produced.
• host=<host_name> The name of the host on which the server runs. By default, the application uses the host specified in the file $CGNROOT/cgnhosts.
• wait Do not go to the background when the device is busy. This option is not relevant for the Parseq or Soft pseudo device.
• batch Run the job in the background. When this option is specified, the file “$CGNROOT/defaults/batch.defaults” is used for choosing the batch command. If this file does not exist, the command “at now” is used to run the job. Note:“-batch” and “-wait” parameters are mutually exclusive.
• version Prints the software version number.
• help Displays this help message. To get more specific help type: “om -model=<model_fname> -help”.

According to some embodiments the homology is a local homology or a local identity.

Local alignments tools include, but are not limited to the BlastP, BlastN, BlastX or TBLASTN software of the National Center of Biotechnology Information (NCBI), FASTA, and the Smith-Waterman algorithm.

A tblastn search allows the comparison between a protein sequence to the six-frame translations of a nucleotide database. It can be a very productive way of finding homologous protein coding regions in unannotated nucleotide sequences such as expressed sequence tags (ESTs) and draft genome records (HTG), located in the BLAST databases est and htgs, respectively.

Default parameters for blastp include: Max target sequences: 100; Expected threshold: e^-5; Word size: 3; Max matches in a query range: 0; Scoring parameters: Matrix - BLOSUM62; filters and masking: Filter - low complexity regions.

Local alignments tools, which can be used include, but are not limited to, the tBLASTX algorithm, which compares the six-frame conceptual translation products of a nucleotide query sequence (both strands) against a protein sequence database. Default parameters include: Max target sequences: 100; Expected threshold: 10; Word size: 3; Max matches in a query range: 0; Scoring parameters: Matrix - BLOSUM62; filters and masking: Filter - low complexity regions.

According to some embodiments of the invention, the exogenous polynucleotide of the invention encodes a polypeptide having an amino acid sequence at least about 80 %, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% identical to the amino acid sequence selected from the group consisting of SEQ ID NOs:496-794, 2898-3645, 3647-4854 and 4855.

According to some embodiments of the invention, the exogenous polynucleotide of the invention encodes a polypeptide having the amino acid sequence selected from the group consisting of SEQ ID NOs: 496-794, 2898-4854 and 4855.

According to some embodiments of the invention, the method of increasing fertilizer use efficiency, nitrogen use efficiency, yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, is effected by expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% identical to the amino acid sequence selected from the group consisting of SEQ ID NOs:496-794, 2898-3645, 3647-4854 and 4855, thereby increasing the fertilizer use efficiency, nitrogen use efficiency, yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity and/or abiotic stress tolerance of the plant.

According to some embodiments of the invention, the exogenous polynucleotide encodes a polypeptide consisting of the amino acid sequence set forth by SEQ ID NO:496-794, 2898-4854 or 4855.

According to an aspect of some embodiments of the invention, the method of increasing fertilizer use efficiency, nitrogen use efficiency, yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant is effected by expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide comprising an amino acid sequence selected from the group consisting of SEQ ID NOs:496-794, 2898-4854 and 4855, thereby increasing the fertilizer use efficiency, nitrogen use efficiency, yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the invention, there is provided a method of increasing fertilizer use efficiency, nitrogen use efficiency, yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide selected from the group consisting of SEQ ID NOs: 496-794, 2898-4854 and 4855, thereby increasing the fertilizer use efficiency, nitrogen use efficiency, yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.

According to some embodiments of the invention, the exogenous polynucleotide encodes a polypeptide consisting of the amino acid sequence set forth by SEQ ID NO: 496-794, 2898-4854 or 4855.

According to some embodiments of the invention the exogenous polynucleotide comprises a nucleic acid sequence which is at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-495, 795-2896 and 2897.

According to an aspect of some embodiments of the invention, there is provided a method of increasing fertilizer use efficiency, nitrogen use efficiency, yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence at least about 80 %, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-495, 795-2896 and 2897, thereby increasing the fertilizer use efficiency, nitrogen use efficiency, yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.

According to some embodiments of the invention the exogenous polynucleotide is at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the polynucleotide selected from the group consisting of SEQ ID NOs: 1-495, 795-2896 and 2897.

According to some embodiments of the invention the exogenous polynucleotide is set forth by SEQ ID NO: 1-495, 795-2896 or 2897.

According to some embodiments of the invention the method of increasing fertilizer use efficiency, nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant further comprising selecting a plant having an increased fertilizer use efficiency, nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

It should be noted that selecting a transformed plant having an increased trait as compared to a native (or non-transformed) plant grown under the same growth conditions is performed by selecting for the trait, e.g., validating the ability of the transformed plant to exhibit the increased trait using well known assays (e.g., seedling analyses, greenhouse assays) as is further described herein below.

According to an aspect of some embodiments of the invention, there is provided a method of selecting a transformed plant having increased fertilizer use efficiency, nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:

• (a) providing plants transformed with an exogenous polynucleotide encoding a polypeptide comprising an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% homologous (e.g., having sequence similarity or sequence identity) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 496-794, 2898-3645, 3647-4854 and 4855,
• (b) selecting from said plants a plant having increased fertilizer use efficiency, nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance,
• thereby selecting the plant having increased fertilizer use efficiency, nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

According to an aspect of some embodiments of the invention, there is provided a method of selecting a transformed plant having increased fertilizer use efficiency, nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:

• (a) providing plants transformed with an exogenous polynucleotide encoding a polypeptide comprising an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-495, 795-2896 and 2897,
• (b) selecting from said plants a plant having increased fertilizer use efficiency, nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance,
• thereby selecting the plant having increased fertilizer use efficiency, nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

As used herein the term “polynucleotide” refers to a single or double stranded nucleic acid sequence which is isolated and provided in the form of an RNA sequence, a complementary polynucleotide sequence (cDNA), a genomic polynucleotide sequence and/or a composite polynucleotide sequences (e.g., a combination of the above).

The term “isolated” refers to at least partially separated from the natural environment e.g., from a plant cell.

As used herein the phrase “complementary polynucleotide sequence” refers to a sequence, which results from reverse transcription of messenger RNA using a reverse transcriptase or any other RNA dependent DNA polymerase. Such a sequence can be subsequently amplified in vivo or in vitro using a DNA dependent DNA polymerase.

As used herein the phrase “genomic polynucleotide sequence” refers to a sequence derived (isolated) from a chromosome and thus it represents a contiguous portion of a chromosome.

As used herein the phrase “composite polynucleotide sequence” refers to a sequence, which is at least partially complementary and at least partially genomic. A composite sequence can include some exonal sequences required to encode the polypeptide of the present invention, as well as some intronic sequences interposing therebetween. The intronic sequences can be of any source, including of other genes, and typically will include conserved splicing signal sequences. Such intronic sequences may further include cis acting expression regulatory elements.

Nucleic acid sequences encoding the polypeptides of the present invention may be optimized for expression. Examples of such sequence modifications include, but are not limited to, an altered G/C content to more closely approach that typically found in the plant species of interest, and the removal of codons atypically found in the plant species commonly referred to as codon optimization.

The phrase “codon optimization” refers to the selection of appropriate DNA nucleotides for use within a structural gene or fragment thereof that approaches codon usage within the plant of interest. Therefore, an optimized gene or nucleic acid sequence refers to a gene in which the nucleotide sequence of a native or naturally occurring gene has been modified in order to utilize statistically-preferred or statistically-favored codons within the plant. The nucleotide sequence typically is examined at the DNA level and the coding region optimized for expression in the plant species determined using any suitable procedure, for example as described in Sardana et al. (1996, Plant Cell Reports 15:677-681). In this method, the standard deviation of codon usage, a measure of codon usage bias, may be calculated by first finding the squared proportional deviation of usage of each codon of the native gene relative to that of highly expressed plant genes, followed by a calculation of the average squared deviation. The formula used is: 1 SDCU = n = 1 N [ ( Xn - Yn ) / Yn ] 2 / N, where Xn refers to the frequency of usage of codon n in highly expressed plant genes, where Yn to the frequency of usage of codon n in the gene of interest and N refers to the total number of codons in the gene of interest. A Table of codon usage from highly expressed genes of dicotyledonous plants is compiled using the data of Murray et al. (1989, Nuc Acids Res. 17:477-498).

One method of optimizing the nucleic acid sequence in accordance with the preferred codon usage for a particular plant cell type is based on the direct use, without performing any extra statistical calculations, of codon optimization Tables such as those provided on-line at the Codon Usage Database through the NIAS (National Institute of Agrobiological Sciences) DNA bank in Japan (kazusa (dot) or (dot) jp/codon/). The Codon Usage Database contains codon usage tables for a number of different species, with each codon usage Table having been statistically determined based on the data present in Genbank.

By using the above Tables to determine the most preferred or most favored codons for each amino acid in a particular species (for example, rice), a naturally-occurring nucleotide sequence encoding a protein of interest can be codon optimized for that particular plant species. This is effected by replacing codons that may have a low statistical incidence in the particular species genome with corresponding codons, in regard to an amino acid, that are statistically more favored. However, one or more less-favored codons may be selected to delete existing restriction sites, to create new ones at potentially useful junctions (5′ and 3′ ends to add signal peptide or termination cassettes, internal sites that might be used to cut and splice segments together to produce a correct full-length sequence), or to eliminate nucleotide sequences that may negatively effect mRNA stability or expression.

The naturally-occurring encoding nucleotide sequence may already, in advance of any modification, contain a number of codons that correspond to a statistically-favored codon in a particular plant species. Therefore, codon optimization of the native nucleotide sequence may comprise determining which codons, within the native nucleotide sequence, are not statistically-favored with regards to a particular plant, and modifying these codons in accordance with a codon usage table of the particular plant to produce a codon optimized derivative. A modified nucleotide sequence may be fully or partially optimized for plant codon usage provided that the protein encoded by the modified nucleotide sequence is produced at a level higher than the protein encoded by the corresponding naturally occurring or native gene. Construction of synthetic genes by altering the codon usage is described in for example PCT Pat. Application 93/07278.

According to some embodiments of the invention, the exogenous polynucleotide is a non-coding RNA.

As used herein the phrase ‘non-coding RNA” refers to an RNA molecule which does not encode an amino acid sequence (a polypeptide). Examples of such non-coding RNA molecules include, but are not limited to, an antisense RNA, a pre-miRNA (precursor of a microRNA), or a precursor of a Piwi-interacting RNA (piRNA).

Non-limiting examples of non-coding RNA polynucleotides are provided in SEQ ID NOs: 217, 218, 219, 287, 288, 495, 997, 1003, 1543 and 1703.

Thus, the invention encompasses nucleic acid sequences described hereinabove; fragments thereof, sequences hybridizable therewith, sequences homologous thereto, sequences encoding similar polypeptides with different codon usage, altered sequences characterized by mutations, such as deletion, insertion or substitution of one or more nucleotides, either naturally occurring or man induced, either randomly or in a targeted fashion.

According to some embodiments of the invention, the exogenous polynucleotide encodes a polypeptide comprising an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the amino acid sequence of a naturally occurring plant orthologue of the polypeptide selected from the group consisting of SEQ ID NOs: 496-794, and 2898-4855.

According to some embodiments of the invention, the polypeptide comprising an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the amino acid sequence of a naturally occurring plant orthologue of the polypeptide selected from the group consisting of SEQ ID NOs: 496-794, and 2898-4855.

The invention provides an isolated polynucleotide comprising a nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83 %, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the polynucleotide selected from the group consisting of SEQ ID NOs: 1-495, 795-2896 and 2897.

According to some embodiments of the invention the nucleic acid sequence is capable of increasing nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance and/or water use efficiency of a plant.

According to some embodiments of the invention the isolated polynucleotide comprising the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-495, 795-2896 and 2897.

According to some embodiments of the invention the isolated polynucleotide is set forth by SEQ ID NO: 1-495, 795-2896 or 2897.

The invention provides an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 496-794, 2898-3645, 3647-4854 and 4855.

According to some embodiments of the invention the amino acid sequence is capable of increasing nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance and/or water use efficiency of a plant.

The invention provides an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises the amino acid sequence selected from the group consisting of SEQ ID NOs:496-794, 2898-4854 and 4855.

According to an aspect of some embodiments of the invention, there is provided a nucleic acid construct comprising the isolated polynucleotide of the invention, and a promoter for directing transcription of the nucleic acid sequence in a host cell.

The invention provides an isolated polypeptide comprising an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83 %, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous to an amino acid sequence selected from the group consisting of SEQ ID NOs: 496-794, 2898-3645, 3647-4854 and 4855.

According to some embodiments of the invention, the polypeptide comprising an amino acid sequence selected from the group consisting of SEQ ID NOs:496-794, 2898-4854 and 4855.

According to some embodiments of the invention, the polypeptide is set forth by SEQ ID NO: 496-794, 2898-4854 or 4855.

The invention also encompasses fragments of the above described polypeptides and polypeptides having mutations, such as deletions, insertions or substitutions of one or more amino acids, either naturally occurring or man induced, either randomly or in a targeted fashion.

The term ‘“plant” as used herein encompasses a whole plant, a grafted plant, ancestor(s) and progeny of the plants and plant parts, including seeds, shoots, stems, roots (including tubers), rootstock, scion, and plant cells, tissues and organs. The plant may be in any form including suspension cultures, embryos, meristematic regions, callus tissue, leaves, gametophytes, sporophytes, pollen, and microspores. Plants that are particularly useful in the methods of the invention include all plants which belong to the superfamily Viridiplantae, in particular monocotyledonous and dicotyledonous plants including a fodder or forage legume, ornamental plant, food crop, tree, or shrub selected from the list comprising Acacia spp., Acer spp., Actinidia spp., Aesculus spp., Agathis australis, Albizia amara, Alsophila tricolor, Andropogon spp., Arachis spp, Areca catechu, Astelia fragrans, Astragalus cicer, Baikiaea plurijuga, Betula spp., Brassica spp., Bruguiera gymnorrhiza, Burkea africana, Butea frondosa, Cadaba farinosa, Calliandra spp, Camellia sinensis, Canna indica, Capsicum spp., Cassia spp., Centroema pubescens, Chacoomeles spp., Cinnamomum cassia, Coffea arabica, Colophospermum mopane, Coronillia varia, Cotoneaster serotina, Crataegus spp., Cucumis spp., Cupressus spp., Cyathea dealbata, Cydonia oblonga, Cryptomeria japonica, Cymbopogon spp., Cynthea dealbata, Cydonia oblonga, Dalbergia monetaria, Davallia divaricata, Desmodium spp., Dicksonia squarosa, Dibeteropogon amplectens, Dioclea spp, Dolichos spp., Dorycnium rectum, Echinochloa pyramidalis, Ehraffia spp., Eleusine coracana, Eragrestis spp., Erythrina spp., Eucalypfus spp., Euclea schimperi, Eulalia vi/losa, Pagopyrum spp., Feijoa sellowlana, Fragaria spp., Flemingia spp, Freycinetia banksli, Geranium thunbergii, GinAgo biloba, Glycine javanica, Gliricidia spp, Gossypium hirsutum, Grevillea spp., Guibourtia coleosperma, Hedysarum spp., Hemaffhia altissima, Heteropogon contoffus, Hordeum vulgare, Hyparrhenia rufa, Hypericum erectum, Hypeffhelia dissolute, Indigo incamata, Iris spp., Leptarrhena pyrolifolia, Lespediza spp., Lettuca spp., Leucaena leucocephala, Loudetia simplex, Lotonus bainesli, Lotus spp., Macrotyloma axillare, Malus spp., Manihot esculenta, Medicago saliva, Metasequoia glyptostroboides, Musa sapientum, Nicotianum spp., Onobrychis spp., Omithopus spp., Oryza spp., Peltophorum africanum, Pennisetum spp., Persea gratissima, Petunia spp., Phaseolus spp., Phoenix canariensis, Phormium cookianum, Photinia spp., Picea glauca, Pinus spp., Pisum sativam, Podocarpus totara, Pogonarthria fleckii, Pogonaffhria squarrosa, Populus spp., Prosopis cineraria, Pseudotsuga menziesii, Pterolobium stellatum, Pyrus communis, Quercus spp., Rhaphiolepsis umbellata, Rhopalostylis sapida, Rhus natalensis, Ribes grossularia, Ribes spp., Robinia pseudoacacia, Rosa spp., Rubus spp., Salix spp., Schyzachyrium sanguineum, Sciadopitys vefficillata, Sequoia sempervirens, Sequoiadendron giganteum, Sorghum bicolor, Spinacia spp., Sporobolus fimbriatus, Stiburus alopecuroides, Stylosanthos humilis, Tadehagi spp, Taxodium distichum, Themeda triandra, Trifolium spp., Triticum spp., Tsuga heterophylla, Vaccinium spp., Vicia spp., Vitis vinifera, Watsonia pyramidata, Zantedeschia aethiopica, Zea mays, amaranth, artichoke, asparagus, broccoli, Brussels sprouts, cabbage, canola, carrot, cauliflower, celery, collard greens, flax, kale, lentil, oilseed rape, okra, onion, potato, rice, soybean, straw, sugar beet, sugar cane, sunflower, tomato, squash tea, maize, wheat, barley, rye, oat, peanut, pea, lentil and alfalfa, cotton, rapeseed, canola, pepper, sunflower, tobacco, eggplant, eucalyptus, a tree, an ornamental plant, a perennial grass and a forage crop. Alternatively algae and other non-Viridiplantae can be used for the methods of the present invention.

According to some embodiments of the invention, the plant used by the method of the invention is a crop plant such as rice, maize, wheat, barley, peanut, potato, sesame, olive tree, palm oil, banana, soybean, sunflower, canola, sugarcane, alfalfa, millet, leguminosae (bean, pea), flax, lupinus, rapeseed, tobacco, poplar and cotton.

According to some embodiments of the invention the plant is a dicotyledonous plant.

According to some embodiments of the invention the plant is a monocotyledonous plant.

According to some embodiments of the invention, there is provided a plant cell exogenously expressing the polynucleotide of some embodiments of the invention, the nucleic acid construct of some embodiments of the invention and/or the polypeptide of some embodiments of the invention.

According to some embodiments of the invention, expressing the exogenous polynucleotide of the invention within the plant is effected by transforming one or more cells of the plant with the exogenous polynucleotide, followed by generating a mature plant from the transformed cells and cultivating the mature plant under conditions suitable for expressing the exogenous polynucleotide within the mature plant.

According to some embodiments of the invention, the transformation is effected by introducing to the plant cell a nucleic acid construct which includes the exogenous polynucleotide of some embodiments of the invention and at least one promoter for directing transcription of the exogenous polynucleotide in a host cell (a plant cell). Further details of suitable transformation approaches are provided hereinbelow.

As mentioned, the nucleic acid construct according to some embodiments of the invention comprises a promoter sequence and the isolated polynucleotide of some embodiments of the invention.

According to some embodiments of the invention, the isolated polynucleotide is operably linked to the promoter sequence.

A coding nucleic acid sequence is “operably linked” to a regulatory sequence (e.g., promoter) if the regulatory sequence is capable of exerting a regulatory effect on the coding sequence linked thereto.

As used herein, the term “promoter” refers to a region of DNA which lies upstream of the transcriptional initiation site of a gene to which RNA polymerase binds to initiate transcription of RNA. The promoter controls where (e.g., which portion of a plant) and/or when (e.g., at which stage or condition in the lifetime of an organism) the gene is expressed.

According to some embodiments of the invention, the promoter is heterologous to the isolated polynucleotide and/or to the host cell.

As used herein the phrase “heterologous promoter” refers to a promoter from a different species or from the same species but from a different gene locus as of the isolated polynucleotide sequence.

According to some embodiments of the invention, the isolated polynucleotide is heterologous to the plant cell.

Any suitable promoter sequence can be used by the nucleic acid construct of the present invention. Preferably the promoter is a constitutive promoter, a tissue-specific, or an abiotic stress-inducible promoter.

According to some embodiments of the invention, the promoter is a plant promoter, which is suitable for expression of the exogenous polynucleotide in a plant cell.

Suitable promoters for expression in wheat include, but are not limited to, Wheat SPA promoter (SEQ ID NO: 4856; Albanietal, Plant Cell, 9: 171- 184, 1997, which is fully incorporated herein by reference), wheat LMW (SEQ ID NO: 4857 (longer LMW promoter), and SEQ ID NO: 4858 (LMW promoter) and HMW glutenin-1 (SEQ ID NO: 4859 (Wheat HMW glutenin-1 longer promoter); and SEQ ID NO: 4860 (Wheat HMW glutenin-1 Promoter); Thomas and Flavell, The Plant Cell 2:1171-1180; Furtado et al., 2009 Plant Biotechnology Journal 7:240-253, each of which is fully incorporated herein by reference), wheat alpha, beta and gamma gliadins [e.g., SEQ ID NO: 4861 (wheat alpha gliadin, B genome, promoter); SEQ ID NO: 4862 (wheat gamma gliadin promoter); EMBO 3:1409-15, 1984, which is fully incorporated herein by reference], wheat TdPR60 [SEQ ID NO: 4863 (wheat TdPR60 longer promoter) or SEQ ID NO:4864 (wheat TdPR60 promoter); Kovalchuk et al., Plant Mol Biol 71:81-98, 2009, which is fully incorporated herein by reference], maize Ub1 Promoter [cultivar Nongda 105 (SEQ ID NO: 4865); GenBank: DQ141598.1; Taylor et al., Plant Cell Rep 1993 12: 491-495, which is fully incorporated herein by reference; and cultivar B73 (SEQ ID NO:4866); Christensen, AH, et al. Plant Mol. Biol. 18 (4), 675-689 (1992), which is fully incorporated herein by reference]; rice actin 1 (SEQ ID NO: 4867; Mc Elroy et al. 1990, The Plant Cell, Vol. 2, 163-171, which is fully incorporated herein by reference), rice GOS2 [SEQ ID NO: 4868 (rice GOS2 longer promoter) and SEQ ID NO: 4869 (rice GOS2 Promoter); De Pater et al. Plant J. 1992; 2: 837-44, which is fully incorporated herein by reference], arabidopsis Phol [SEQ ID NO: 4870 (arabidopsis Phol Promoter); Hamburger et al., Plant Cell. 2002; 14: 889-902, which is fully incorporated herein by reference], ExpansinB promoters, e.g., rice ExpB5 [SEQ ID NO:4871 (rice ExpB5 longer promoter) and SEQ ID NO: 4872 (rice ExpB5 promoter)] and Barley ExpB1 [SEQ ID NO: 4873 (barley ExpB1 Promoter), Won et al. Mol Cells. 2010; 30:369-76, which is fully incorporated herein by reference], barley SS2 (sucrose synthase 2) [(SEQ ID NO: 4874), Guerin and Carbonero, Plant Physiology May 1997 vol. 114 no. 1 55-62, which is fully incorporated herein by reference], and rice PG5a [SEQ ID NO:4875, US 7,700,835, Nakase et al., Plant Mol Biol. 32:621-30, 1996, each of which is fully incorporated herein by reference].

Suitable constitutive promoters include, for example, CaMV 35S promoter [SEQ ID NO: 4876 (CaMV 35S (QFNC) Promoter); SEQ ID NO: 4877 (PJJ 35S from Brachypodium); SEQ ID NO: 4878 (CaMV 35S (OLD) Promoter) (Odell et al., Nature 313:810-812, 1985)], Arabidopsis At6669 promoter (SEQ ID NO: 4879 (Arabidopsis At6669 (OLD) Promoter); see PCT Publication No. WO04081173A2 or the new At6669 promoter (SEQ ID NO: 4880 (Arabidopsis At6669 (NEW) Promoter)); maize Ub1 Promoter [cultivar Nongda 105 (SEQ ID NO:4865); GenBank: DQ141598.1; Taylor et al., Plant Cell Rep 1993 12: 491-495, which is fully incorporated herein by reference; and cultivar B73 (SEQ ID NO:4866); Christensen, AH, et al. Plant Mol. Biol. 18 (4), 675-689 (1992), which is fully incorporated herein by reference]; rice actin 1 (SEQ ID NO: 4867, McElroy et al., Plant Cell 2:163-171, 1990); pEMU (Last et al., Theor. Appl. Genet. 81:581-588, 1991); CaMV 19S (Nilsson et al., Physiol. Plant 100:456-462, 1997); rice GOS2 [SEQ ID NO: 4868 (rice GOS2 longer Promoter) and SEQ ID NO: 4869 (rice GOS2 Promoter), de Pater et al, Plant J Nov;2(6):837-44, 1992]; RBCS promoter (SEQ ID NO: 4881); Rice cyclophilin (Bucholz et al, Plant Mol Biol. 25(5):837-43, 1994); Maize H3 histone (Lepetit et al, Mol. Gen. Genet. 231: 276-285, 1992); Actin 2 (An et al, Plant J. 10(1);107-121, 1996) and Synthetic Super MAS (Ni et al., The Plant Journal 7: 661-76, 1995). Other constitutive promoters include those in U.S. Pat. Nos. 5,659,026, 5,608,149; 5,608,144; 5,604,121; 5,569,597: 5,466,785; 5,399,680; 5,268,463; and 5,608,142.

Suitable tissue-specific promoters include, but not limited to, leaf-specific promoters [e.g., AT5G06690 (Thioredoxin) (high expression, SEQ ID NO: 4882), AT5G61520 (AtSTP3) (low expression, SEQ ID NO: 4883) described in Buttner et al 2000 Plant, Cell and Environment 23, 175-184, or the promoters described in Yamamoto et al., Plant J. 12:255-265, 1997; Kwon et al., Plant Physiol. 105:357-67, 1994; Yamamoto et al., Plant Cell Physiol. 35:773-778, 1994; Gotor et al., Plant J. 3:509-18, 1993; Orozco et al., Plant Mol. Biol. 23:1129-1138, 1993; and Matsuoka et al., Proc. Natl. Acad. Sci. USA 90:9586-9590, 1993; as well as Arabidopsis STP3 (AT5G61520) promoter (Buttner et al., Plant, Cell and Environment 23:175-184, 2000)], seed-preferred promoters [e.g., Napin (originated from Brassica napus which is characterized by a seed specific promoter activity; Stuitje A. R. et. al. Plant Biotechnology Journal 1 (4): 301-309; SEQ ID NO: 4884 (Brassica napus NAPIN Promoter) from seed specific genes (Simon, et al., Plant Mol. Biol. 5. 191, 1985; Scofield, et al., J. Biol. Chem. 262: 12202, 1987; Baszczynski, et al., Plant Mol. Biol. 14: 633, 1990), rice PG5a (SEQ ID NO: 4875; US 7,700,835), early seed development Arabidopsis BAN (AT1G61720) (SEQ ID NO: 4885, US 2009/0031450 A1), late seed development Arabidopsis ABI3 (AT3G24650) (SEQ ID NO: 4886 (Arabidopsis ABI3 (AT3G24650) longer Promoter) or 4887 (Arabidopsis ABI3 (AT3G24650) Promoter)) (Ng et al., Plant Molecular Biology 54: 25-38, 2004), Brazil Nut albumin (Pearson′ et al., Plant Mol. Biol. 18: 235- 245, 1992), legumin (Ellis, et al. Plant Mol. Biol. 10: 203-214, 1988), Glutelin (rice) (Takaiwa, et al., Mol. Gen. Genet. 208: 15-22, 1986; Takaiwa, et al., FEBS Letts. 221: 43-47, 1987), Zein (Matzke et al Plant Mol Biol, 143).323-32 1990), napA (Stalberg, et al, Planta 199: 515-519, 1996), Wheat SPA (SEQ ID NO:4856; Albanietal, Plant Cell, 9: 171- 184, 1997), sunflower oleosin (Cummins, et al., Plant Mol. Biol. 19: 873- 876, 1992)], endosperm specific promoters [e.g., wheat LMW (SEQ ID NO: 4857 (Wheat LMW Longer Promoter), and SEQ ID NO: 4858 (Wheat LMW Promoter) and HMW glutenin-1 [(SEQ ID NO: 4859 (Wheat HMW glutenin-1 longer Promoter)); and SEQ ID NO: 4860 (Wheat HMW glutenin-1 Promoter), Thomas and Flavell, The Plant Cell 2:1171-1180, 1990; Mol Gen Genet 216:81-90, 1989; NAR 17:461-2), wheat alpha, beta and gamma gliadins (SEQ ID NO: 4861 (wheat alpha gliadin (B genome) promoter); SEQ ID NO: 4862 (wheat gamma gliadin promoter); EMBO 3:1409-15, 1984), Barley ltrl promoter, barley B1, C, D hordein (Theor Appl Gen 98:1253-62, 1999; Plant J 4:343-55, 1993; Mol Gen Genet 250:750- 60, 1996), Barley DOF (Mena et al, The Plant Journal, 116(1): 53- 62, 1998), Biz2 (EP99106056.7), Barley SS2 (SEQ ID NO: 4874 (Barley SS2 Promoter); Guerin and Carbonero Plant Physiology 114: 1 55-62, 1997), wheat Tarp60 (Kovalchuk et al., Plant Mol Biol 71:81-98, 2009), barley D-hordein (D-Hor) and B-hordein (B-Hor) (Agnelo Furtado, Robert J. Henry and Alessandro Pellegrineschi (2009)], Synthetic promoter (Vicente-Carbajosa et al., Plant J. 13: 629-640, 1998), rice prolamin NRP33, rice -globulin Glb-1 (Wu et al, Plant Cell Physiology 39(8) 885- 889, 1998), rice alpha-globulin REB/OHP-1 (Nakase et al. Plant Mol. Biol. 33: 513-S22, 1997), rice ADP-glucose PP (Trans Res 6:157-68, 1997), maize ESR gene family (Plant J 12:235-46, 1997), sorgum gamma- kafirin (PMB 32:1029-35, 1996)], embryo specific promoters [e.g., rice OSH1 (Sato et al, Proc. Natl. Acad. Sci. USA, 93: 8117-8122), KNOX (Postma-Haarsma et al, Plant Mol. Biol. 39:257-71, 1999), rice oleosin (Wu et at, J. Biochem., 123:386, 1998)], and flower-specific promoters [e.g., AtPRP4, chalene synthase (chsA) (Van der Meer, et al., Plant Mol. Biol. 15, 95-109, 1990), LAT52 (Twell et al Mol. Gen Genet. 217:240-245; 1989), Arabidopsis apetala- 3 (Tilly et al., Development. 125:1647-57, 1998), Arabidopsis APETALA 1 (AT1G69120, AP1) (SEQ ID NO: 4888 (Arabidopsis (AT1G69120) APETALA 1)) (Hempel et al., Development 124:3845-3853, 1997)], and root promoters [e.g., the ROOTP promoter [SEQ ID NO: 4889]; rice ExpB5 (SEQ ID NO:4872 (rice ExpB5 Promoter); or SEQ ID NO: 4871 (rice ExpB5 longer Promoter)) and barley ExpB1 promoters (SEQ ID NO:4873) (Won et al. Mol. Cells 30: 369-376, 2010); arabidopsis ATTPS-CIN (AT3G25820) promoter (SEQ ID NO: 4890; Chen et al., Plant Phys 135:1956-66, 2004); arabidopsis Phol promoter (SEQ ID NO: 4870, Hamburger et al., Plant Cell. 14: 889-902, 2002), which is also slightly induced by stress].

Suitable abiotic stress-inducible promoters include, but not limited to, salt-inducible promoters such as RD29A (Yamaguchi-Shinozalei et al., Mol. Gen. Genet. 236:331-340, 1993); drought-inducible promoters such as maize rab17 gene promoter (Pla et. al., Plant Mol. Biol. 21:259-266, 1993), maize rab28 gene promoter (Busk et. al., Plant J. 11:1285-1295, 1997) and maize Ivr2 gene promoter (Pelleschi et. al., Plant Mol. Biol. 39:373-380, 1999); heat-inducible promoters such as heat tomato hsp80-promoter from tomato (U.S. Pat. No. 5,187,267).

The nucleic acid construct of some embodiments of the invention can further include an appropriate selectable marker and/or an origin of replication. According to some embodiments of the invention, the nucleic acid construct utilized is a shuttle vector, which can propagate both in E. coli (wherein the construct comprises an appropriate selectable marker and origin of replication) and be compatible with propagation in cells. The construct according to the present invention can be, for example, a plasmid, a bacmid, a phagemid, a cosmid, a phage, a virus or an artificial chromosome.

The nucleic acid construct of some embodiments of the invention can be utilized to stably or transiently transform plant cells. In stable transformation, the exogenous polynucleotide is integrated into the plant genome and as such it represents a stable and inherited trait. In transient transformation, the exogenous polynucleotide is expressed by the cell transformed but it is not integrated into the genome and as such it represents a transient trait.

There are various methods of introducing foreign genes into both monocotyledonous and dicotyledonous plants (Potrykus, I., Annu. Rev. Plant. Physiol., Plant. Mol. Biol. (1991) 42:205-225; Shimamoto et al., Nature (1989) 338:274-276).

The principle methods of causing stable integration of exogenous DNA into plant genomic DNA include two main approaches:

• (i) Agrobacterium-mediated gene transfer: Klee et al. (1987) Annu. Rev. Plant Physiol. 38:467-486; Klee and Rogers in Cell Culture and Somatic Cell Genetics of Plants, Vol. 6, Molecular Biology of Plant Nuclear Genes, eds. Schell, J., and Vasil, L. K., Academic Publishers, San Diego, Calif. (1989) p. 2-25; Gatenby, in Plant Biotechnology, eds. Kung, S. and Arntzen, C. J., Butterworth Publishers, Boston, Mass. (1989) p. 93-112.
• (ii) Direct DNA uptake: Paszkowski et al., in Cell Culture and Somatic Cell Genetics of Plants, Vol. 6, Molecular Biology of Plant Nuclear Genes eds. Schell, J., and Vasil, L. K., Academic Publishers, San Diego, Calif. (1989) p. 52-68; including methods for direct uptake of DNA into protoplasts, Toriyama, K. et al. (1988) Bio/Technology 6:1072-1074. DNA uptake induced by brief electric shock of plant cells: Zhang et al. Plant Cell Rep. (1988) 7:379-384. Fromm et al. Nature (1986) 319:791-793. DNA injection into plant cells or tissues by particle bombardment, Klein et al. Bio/Technology (1988) 6:559-563; McCabe et al. Bio/Technology (1988) 6:923-926; Sanford, Physiol. Plant. (1990) 79:206-209; by the use of micropipette systems: Neuhaus et al., Theor. Appl. Genet. (1987) 75:30-36; Neuhaus and Spangenberg, Physiol. Plant. (1990) 79:213-217; glass fibers or silicon carbide whisker transformation of cell cultures, embryos or callus tissue, U.S. Pat. No. 5,464,765 or by the direct incubation of DNA with germinating pollen, DeWet et al. in Experimental Manipulation of Ovule Tissue, eds. Chapman, G. P. and Mantell, S. H. and Daniels, W. Longman, London, (1985) p. 197-209; and Ohta, Proc. Natl. Acad. Sci. USA (1986) 83:715-719.

The Agrobacterium system includes the use of plasmid vectors that contain defined DNA segments that integrate into the plant genomic DNA. Methods of inoculation of the plant tissue vary depending upon the plant species and the Agrobacterium delivery system. A widely used approach is the leaf disc procedure which can be performed with any tissue explant that provides a good source for initiation of whole plant differentiation. See, e.g., Horsch et al. in Plant Molecular Biology Manual A5, Kluwer Academic Publishers, Dordrecht (1988) p. 1-9. A supplementary approach employs the Agrobacterium delivery system in combination with vacuum infiltration. The Agrobacterium system is especially viable in the creation of transgenic dicotyledonous plants.

There are various methods of direct DNA transfer into plant cells. In electroporation, the protoplasts are briefly exposed to a strong electric field. In microinjection, the DNA is mechanically injected directly into the cells using very small micropipettes. In microparticle bombardment, the DNA is adsorbed on microprojectiles such as magnesium sulfate crystals or tungsten particles, and the microprojectiles are physically accelerated into cells or plant tissues.

Following stable transformation plant propagation is exercised. The most common method of plant propagation is by seed. Regeneration by seed propagation, however, has the deficiency that due to heterozygosity there is a lack of uniformity in the crop, since seeds are produced by plants according to the genetic variances governed by Mendelian rules. Basically, each seed is genetically different and each will grow with its own specific traits. Therefore, it is preferred that the transformed plant be produced such that the regenerated plant has the identical traits and characteristics of the parent transgenic plant. Therefore, it is preferred that the transformed plant be regenerated by micropropagation which provides a rapid, consistent reproduction of the transformed plants.

Micropropagation is a process of growing new generation plants from a single piece of tissue that has been excised from a selected parent plant or cultivar. This process permits the mass reproduction of plants having the preferred tissue expressing the fusion protein. The new generation plants which are produced are genetically identical to, and have all of the characteristics of, the original plant. Micropropagation allows mass production of quality plant material in a short period of time and offers a rapid multiplication of selected cultivars in the preservation of the characteristics of the original transgenic or transformed plant. The advantages of cloning plants are the speed of plant multiplication and the quality and uniformity of plants produced.

Micropropagation is a multi-stage procedure that requires alteration of culture medium or growth conditions between stages. Thus, the micropropagation process involves four basic stages: Stage one, initial tissue culturing; stage two, tissue culture multiplication; stage three, differentiation and plant formation; and stage four, greenhouse culturing and hardening. During stage one, initial tissue culturing, the tissue culture is established and certified contaminant-free. During stage two, the initial tissue culture is multiplied until a sufficient number of tissue samples are produced from the seedlings to meet production goals. During stage three, the tissue samples grown in stage two are divided and grown into individual plantlets. At stage four, the transformed plantlets are transferred to a greenhouse for hardening where the plants’ tolerance to light is gradually increased so that it can be grown in the natural environment.

According to some embodiments of the invention, the transgenic plants are generated by transient transformation of leaf cells, meristematic cells or the whole plant.

Transient transformation can be effected by any of the direct DNA transfer methods described above or by viral infection using modified plant viruses.

Viruses that have been shown to be useful for the transformation of plant hosts include CaMV, Tobacco mosaic virus (TMV), brome mosaic virus (BMV) and Bean Common Mosaic Virus (BV or BCMV). Transformation of plants using plant viruses is described in U.S. Pat. No. 4,855,237 (bean golden mosaic virus; BGV), EP-A 67,553 (TMV), Japanese Published Application No. 63-14693 (TMV), EPA 194,809 (BV), EPA 278,667 (BV); and Gluzman, Y. et al., Communications in Molecular Biology: Viral Vectors, Cold Spring Harbor Laboratory, New York, pp. 172-189 (1988). Pseudovirus particles for use in expressing foreign DNA in many hosts, including plants are described in WO 87/06261.

According to some embodiments of the invention, the virus used for transient transformations is avirulent and thus is incapable of causing severe symptoms such as reduced growth rate, mosaic, ring spots, leaf roll, yellowing, streaking, pox formation, tumor formation and pitting. A suitable avirulent virus may be a naturally occurring avirulent virus or an artificially attenuated virus. Virus attenuation may be effected by using methods well known in the art including, but not limited to, sub-lethal heating, chemical treatment or by directed mutagenesis techniques such as described, for example, by Kurihara and Watanabe (Molecular Plant Pathology 4:259-269, 2003), Gal-on et al. (1992), Atreya et al. (1992) and Huet et al. (1994).

Suitable virus strains can be obtained from available sources such as, for example, the American Type culture Collection (ATCC) or by isolation from infected plants. Isolation of viruses from infected plant tissues can be effected by techniques well known in the art such as described, for example by Foster and Taylor, Eds. “Plant Virology Protocols: From Virus Isolation to Transgenic Resistance (Methods in Molecular Biology (Humana Pr), Vol 81)”, Humana Press, 1998. Briefly, tissues of an infected plant believed to contain a high concentration of a suitable virus, preferably young leaves and flower petals, are ground in a buffer solution (e.g., phosphate buffer solution) to produce a virus infected sap which can be used in subsequent inoculations.

Construction of plant RNA viruses for the introduction and expression of non-viral exogenous polynucleotide sequences in plants is demonstrated by the above references as well as by Dawson, W. O. et al., Virology (1989) 172:285-292; Takamatsu et al. EMBO J. (1987) 6:307-311; French et al. Science (1986) 231:1294-1297; Takamatsu et al. FEBS Letters (1990) 269:73-76; and U.S. Pat. No. 5,316,931.

When the virus is a DNA virus, suitable modifications can be made to the virus itself. Alternatively, the virus can first be cloned into a bacterial plasmid for ease of constructing the desired viral vector with the foreign DNA. The virus can then be excised from the plasmid. If the virus is a DNA virus, a bacterial origin of replication can be attached to the viral DNA, which is then replicated by the bacteria. Transcription and translation of this DNA will produce the coat protein which will encapsidate the viral DNA. If the virus is an RNA virus, the virus is generally cloned as a cDNA and inserted into a plasmid. The plasmid is then used to make all of the constructions. The RNA virus is then produced by transcribing the viral sequence of the plasmid and translation of the viral genes to produce the coat protein(s) which encapsidate the viral RNA.

In one embodiment, a plant viral polynucleotide is provided in which the native coat protein coding sequence has been deleted from a viral polynucleotide, a non-native plant viral coat protein coding sequence and a non-native promoter, preferably the subgenomic promoter of the non-native coat protein coding sequence, capable of expression in the plant host, packaging of the recombinant plant viral polynucleotide, and ensuring a systemic infection of the host by the recombinant plant viral polynucleotide, has been inserted. Alternatively, the coat protein gene may be inactivated by insertion of the non-native polynucleotide sequence within it, such that a protein is produced. The recombinant plant viral polynucleotide may contain one or more additional non-native subgenomic promoters. Each non-native subgenomic promoter is capable of transcribing or expressing adjacent genes or polynucleotide sequences in the plant host and incapable of recombination with each other and with native subgenomic promoters. Non-native (foreign) polynucleotide sequences may be inserted adjacent the native plant viral subgenomic promoter or the native and a non-native plant viral subgenomic promoters if more than one polynucleotide sequence is included. The non-native polynucleotide sequences are transcribed or expressed in the host plant under control of the subgenomic promoter to produce the desired products.

In a second embodiment, a recombinant plant viral polynucleotide is provided as in the first embodiment except that the native coat protein coding sequence is placed adjacent one of the non-native coat protein subgenomic promoters instead of a non-native coat protein coding sequence.

In a third embodiment, a recombinant plant viral polynucleotide is provided in which the native coat protein gene is adjacent its subgenomic promoter and one or more non-native subgenomic promoters have been inserted into the viral polynucleotide. The inserted non-native subgenomic promoters are capable of transcribing or expressing adjacent genes in a plant host and are incapable of recombination with each other and with native subgenomic promoters. Non-native polynucleotide sequences may be inserted adjacent the non-native subgenomic plant viral promoters such that the sequences are transcribed or expressed in the host plant under control of the subgenomic promoters to produce the desired product.

In a fourth embodiment, a recombinant plant viral polynucleotide is provided as in the third embodiment except that the native coat protein coding sequence is replaced by a non-native coat protein coding sequence.

The viral vectors are encapsidated by the coat proteins encoded by the recombinant plant viral polynucleotide to produce a recombinant plant virus. The recombinant plant viral polynucleotide or recombinant plant virus is used to infect appropriate host plants. The recombinant plant viral polynucleotide is capable of replication in the host, systemic spread in the host, and transcription or expression of foreign gene(s) (exogenous polynucleotide) in the host to produce the desired protein.

Techniques for inoculation of viruses to plants may be found in Foster and Taylor, eds. “Plant Virology Protocols: From Virus Isolation to Transgenic Resistance (Methods in Molecular Biology (Humana Pr), Vol 81)”, Humana Press, 1998; Maramorosh and Koprowski, eds. “Methods in Virology” 7 vols, Academic Press, New York 1967-1984; Hill, S.A. “Methods in Plant Virology”, Blackwell, Oxford, 1984; Walkey, D.G.A. “Applied Plant Virology”, Wiley, New York, 1985; and Kado and Agrawa, eds. “Principles and Techniques in Plant Virology”, Van Nostrand-Reinhold, New York.

In addition to the above, the polynucleotide of the present invention can also be introduced into a chloroplast genome thereby enabling chloroplast expression.

A technique for introducing exogenous polynucleotide sequences to the genome of the chloroplasts is known. This technique involves the following procedures. First, plant cells are chemically treated so as to reduce the number of chloroplasts per cell to about one. Then, the exogenous polynucleotide is introduced via particle bombardment into the cells with the aim of introducing at least one exogenous polynucleotide molecule into the chloroplasts. The exogenous polynucleotides selected such that it is integratable into the chloroplast’s genome via homologous recombination which is readily effected by enzymes inherent to the chloroplast. To this end, the exogenous polynucleotide includes, in addition to a gene of interest, at least one polynucleotide stretch which is derived from the chloroplast’s genome. In addition, the exogenous polynucleotide includes a selectable marker, which serves by sequential selection procedures to ascertain that all or substantially all of the copies of the chloroplast genomes following such selection will include the exogenous polynucleotide. Further details relating to this technique are found in U.S. Pat. Nos. 4,945,050; and 5,693,507 which are incorporated herein by reference. A polypeptide can thus be produced by the protein expression system of the chloroplast and become integrated into the chloroplast’s inner membrane.

According to some embodiments, there is provided a method of improving nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a grafted plant, the method comprising providing a scion that does not transgenically express a polynucleotide encoding a polypeptide at least 80% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 496-794, and 2898-4855 and a plant rootstock that transgenically expresses a polynucleotide encoding a polypeptide at least about 80%, at least about 81 %, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% homologous (or identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 496-794, 2898-3645, 3647-4854 and 4855 (e.g., in a constitutive or an abiotic stress responsive manner), thereby improving the nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the grafted plant.

In some embodiments, the plant scion is non-transgenic.

Several embodiments relate to a grafted plant exhibiting improved nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance, comprising a scion that does not transgenically express a polynucleotide encoding a polypeptide at least 80% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 496-794 and 2898-4855 and a plant rootstock that transgenically expresses a polynucleotide encoding a polypeptide at least at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% homologous (or identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 496-794, 2898-3645, 3647-4854 and 4855.

In some embodiments, the plant root stock transgenically expresses a polynucleotide encoding a polypeptide at least at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% homologous (or identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 496-794, 2898-3645, 3647-4854 and 4855 in a stress responsive manner.

According to some embodiments of the invention, the plant root stock transgenically expresses a polynucleotide encoding a polypeptide selected from the group consisting of SEQ ID NOs: 496-794, 2898-4854 and 4855.

According to some embodiments of the invention, the plant root stock transgenically expresses a polynucleotide comprising a nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the polynucleotide selected from the group consisting of SEQ ID NOs: 1-495, and 795-2897.

According to some embodiments of the invention, the plant root stock transgenically expresses a polynucleotide selected from the group consisting of SEQ ID NOs: 1-495, and 795-2897.

Since processes which increase nitrogen use efficiency, fertilizer use efficiency, oil content, yield, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, growth rate, biomass, vigor and/or abiotic stress tolerance of a plant can involve multiple genes acting additively or in synergy (see, for example, in Quesda et al., Plant Physiol. 130:951-063, 2002), the present invention also envisages expressing a plurality of exogenous polynucleotides in a single host plant to thereby achieve superior effect on nitrogen use efficiency, fertilizer use efficiency, oil content, yield, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, growth rate, biomass, vigor and/or abiotic stress tolerance.

Expressing a plurality of exogenous polynucleotides in a single host plant can be effected by co-introducing multiple nucleic acid constructs, each including a different exogenous polynucleotide, into a single plant cell. The transformed cell can then be regenerated into a mature plant using the methods described hereinabove.

Alternatively, expressing a plurality of exogenous polynucleotides in a single host plant can be effected by co-introducing into a single plant-cell a single nucleic-acid construct including a plurality of different exogenous polynucleotides. Such a construct can be designed with a single promoter sequence which can transcribe a polycistronic messenger RNA including all the different exogenous polynucleotide sequences. To enable co-translation of the different polypeptides encoded by the polycistronic messenger RNA, the polynucleotide sequences can be inter-linked via an internal ribosome entry site (IRES) sequence which facilitates translation of polynucleotide sequences positioned downstream of the IRES sequence. In this case, a transcribed polycistronic RNA molecule encoding the different polypeptides described above will be translated from both the capped 5′ end and the two internal IRES sequences of the polycistronic RNA molecule to thereby produce in the cell all different polypeptides. Alternatively, the construct can include several promoter sequences each linked to a different exogenous polynucleotide sequence.

The plant cell transformed with the construct including a plurality of different exogenous polynucleotides, can be regenerated into a mature plant, using the methods described hereinabove.

Alternatively, expressing a plurality of exogenous polynucleotides in a single host plant can be effected by introducing different nucleic acid constructs, including different exogenous polynucleotides, into a plurality of plants. The regenerated transformed plants can then be cross-bred and resultant progeny selected for superior abiotic stress tolerance, water use efficiency, fertilizer use efficiency, growth, biomass, yield and/or vigor traits, using conventional plant breeding techniques.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under the abiotic stress.

Non-limiting examples of abiotic stress conditions include, salinity, osmotic stress, drought, water deprivation, excess of water (e.g., flood, waterlogging), etiolation, low temperature (e.g., cold stress), high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency (e.g., nitrogen deficiency or nitrogen limitation), nutrient excess, atmospheric pollution and UV irradiation.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under fertilizer limiting conditions (e.g., nitrogen-limiting conditions). Non-limiting examples include growing the plant on soils with low nitrogen content (40-50% Nitrogen of the content present under normal or optimal conditions), or even under sever nitrogen deficiency (0-10% Nitrogen of the content present under normal or optimal conditions).

Thus, the invention encompasses plants exogenously expressing the polynucleotide(s), the nucleic acid constructs and/or polypeptide(s) of the invention.

Once expressed within the plant cell or the entire plant, the level of the polypeptide encoded by the exogenous polynucleotide can be determined by methods well known in the art such as, activity assays, Western blots using antibodies capable of specifically binding the polypeptide, Enzyme-Linked Immuno Sorbent Assay (ELISA), radio-immuno-assays (RIA), immunohistochemistry, immunocytochemistry, immunofluorescence and the like.

Methods of determining the level in the plant of the RNA transcribed from the exogenous polynucleotide are well known in the art and include, for example, Northern blot analysis, reverse transcription polymerase chain reaction (RT-PCR) analysis (including quantitative, semi-quantitative or real-time RT-PCR) and RNA-in situ hybridization.

The sequence information and annotations uncovered by the present teachings can be harnessed in favor of classical breeding. Thus, sub-sequence data of those polynucleotides described above, can be used as markers for marker assisted selection (MAS), in which a marker is used for indirect selection of a genetic determinant or determinants of a trait of interest (e.g., biomass, growth rate, oil content, yield, abiotic stress tolerance, water use efficiency, nitrogen use efficiency and/or fertilizer use efficiency). Nucleic acid data of the present teachings (DNA or RNA sequence) may contain or be linked to polymorphic sites or genetic markers on the genome such as restriction fragment length polymorphism (RFLP), microsatellites and single nucleotide polymorphism (SNP), DNA fingerprinting (DFP), amplified fragment length polymorphism (AFLP), expression level polymorphism, polymorphism of the encoded polypeptide and any other polymorphism at the DNA or RNA sequence.

Examples of marker assisted selections include, but are not limited to, selection for a morphological trait (e.g., a gene that affects form, coloration, male sterility or resistance such as the presence or absence of awn, leaf sheath coloration, height, grain color, aroma of rice); selection for a biochemical trait (e.g., a gene that encodes a protein that can be extracted and observed; for example, isozymes and storage proteins); selection for a biological trait (e.g., pathogen races or insect biotypes based on host pathogen or host parasite interaction can be used as a marker since the genetic constitution of an organism can affect its susceptibility to pathogens or parasites).

The polynucleotides and polypeptides described hereinabove can be used in a wide range of economical plants, in a safe and cost effective manner.

Plant lines exogenously expressing the polynucleotide or the polypeptide of the invention are screened to identify those that show the greatest increase of the desired plant trait.

Thus, according to an additional embodiment of the present invention, there is provided a method of evaluating a trait of a plant, the method comprising: (a) expressing in a plant or a portion thereof the nucleic acid construct of some embodiments of the invention; and (b) evaluating a trait of a plant as compared to a wild type plant of the same type (e.g., a plant not transformed with the claimed biomolecules); thereby evaluating the trait of the plant.

According to an aspect of some embodiments of the invention there is provided a method of producing a crop comprising growing a crop of a plant expressing an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous (e.g., identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 496-794, 2898-3645, 3647-4854 and 4855, wherein said plant is derived from a plant selected for increased fertilizer use efficiency, increased nitrogen use efficiency, increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, and/or increased photosynthetic capacity as compared to a control plant, thereby producing the crop.

According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide encoding a polypeptide at least 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous (e.g., identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 496-794, 2898-3645, 3647-4854 and 4855, wherein the crop plant is derived from plants selected for increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency), thereby producing the crop.

According to some embodiments of the invention the polypeptide is selected from the group consisting of SEQ ID NOs: 496-794, 2898-4854 and 4855.

According to an aspect of some embodiments of the invention there is provided a method of producing a crop comprising growing a crop of a plant expressing an exogenous polynucleotide which comprises a nucleic acid sequence which is at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs:1-495, 795-2896 and 2897, wherein said plant is derived from a plant (parent plant) that has been transformed to express the exogenous polynucleotide and that has been selected for increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a control plant, thereby producing the crop.

According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide at least 80%, at least about 81%, at least about 82 %, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-495, 795-2896 and 2897, wherein the crop plant is derived from plants selected for increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency), thereby producing the crop.

According to some embodiments of the invention the exogenous polynucleotide is selected from the group consisting of SEQ ID NOs: 1-495, 795-2896 and 2897.

According to an aspect of some embodiments of the invention there is provided a method of growing a crop comprising seeding seeds and/or planting plantlets of a plant transformed with the exogenous polynucleotide of the invention, e.g., the polynucleotide which encodes the polypeptide of some embodiments of the invention, wherein the plant is derived from plants selected for at least one trait selected from the group consisting of increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a non-transformed plant.

According to some embodiments of the invention the method of growing a crop comprising seeding seeds and/or planting plantlets of a plant transformed with an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to SEQ ID NO: 496-794, 2898-3645, 3647-4854 or 4855, wherein the plant is derived from plants selected for at least one trait selected from the group consisting of increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a non-transformed plant, thereby growing the crop.

According to some embodiments of the invention the polypeptide is selected from the group consisting of SEQ ID NOs: 496-794, 2898-4854 and 4855.

According to some embodiments of the invention the method of growing a crop comprising seeding seeds and/or planting plantlets of a plant transformed with an exogenous polynucleotide comprising the nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to SEQ ID NO: 1-495, 795-2896 or 2897, wherein the plant is derived from plants selected for at least one trait selected from the group consisting of increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a non-transformed plant, thereby growing the crop.

According to some embodiments of the invention the exogenous polynucleotide is selected from the group consisting of SEQ ID NOs: 1-495, 795-2896 and 2897.

The effect of the transgene (the exogenous polynucleotide encoding the polypeptide) on abiotic stress tolerance can be determined using known methods such as detailed below and in the Examples section which follows.

Abiotic stress tolerance - Transformed (i.e., expressing the transgene) and non-transformed (wild type) plants are exposed to an abiotic stress condition, such as water deprivation, suboptimal temperature (low temperature, high temperature), nutrient deficiency, nutrient excess, a salt stress condition, osmotic stress, heavy metal toxicity, anaerobiosis, atmospheric pollution and UV irradiation.

Salinity tolerance assay - Transgenic plants with tolerance to high salt concentrations are expected to exhibit better germination, seedling vigor or growth in high salt. Salt stress can be effected in many ways such as, for example, by irrigating the plants with a hyperosmotic solution, by cultivating the plants hydroponically in a hyperosmotic growth solution (e.g., Hoagland solution), or by culturing the plants in a hyperosmotic growth medium [e.g., 50% Murashige-Skoog medium (MS medium)]. Since different plants vary considerably in their tolerance to salinity, the salt concentration in the irrigation water, growth solution, or growth medium can be adjusted according to the specific characteristics of the specific plant cultivar or variety, so as to inflict a mild or moderate effect on the physiology and/or morphology of the plants (for guidelines as to appropriate concentration see, Bernstein and Kafkafi, Root Growth Under Salinity Stress In: Plant Roots, The Hidden Half 3rd ed. Waisel Y, Eshel A and Kafkafi U. (editors) Marcel Dekker Inc., New York, 2002, and reference therein).

For example, a salinity tolerance test can be performed by irrigating plants at different developmental stages with increasing concentrations of sodium chloride (for example 50 mM, 100 mM, 200 mM, 400 mM NaCl) applied from the bottom and from above to ensure even dispersal of salt. Following exposure to the stress condition the plants are frequently monitored until substantial physiological and/or morphological effects appear in wild type plants. Thus, the external phenotypic appearance, degree of wilting and overall success to reach maturity and yield progeny are compared between control and transgenic plants.

Quantitative parameters of tolerance measured include, but are not limited to, the average wet and dry weight, growth rate, leaf size, leaf coverage (overall leaf area), the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Transformed plants not exhibiting substantial physiological and/or morphological effects, or exhibiting higher biomass than wild-type plants, are identified as abiotic stress tolerant plants.

Osmotic tolerance test - Osmotic stress assays (including sodium chloride and mannitol assays) are conducted to determine if an osmotic stress phenotype was sodium chloride-specific or if it was a general osmotic stress related phenotype. Plants which are tolerant to osmotic stress may have more tolerance to drought and/or freezing. For salt and osmotic stress germination experiments, the medium is supplemented for example with 50 mM, 100 mM, 200 mM NaCl or 100 mM, 200 mM NaCl, 400 mM mannitol.

Drought tolerance assay/Osmoticum assay - Tolerance to drought is performed to identify the genes conferring better plant survival after acute water deprivation. To analyze whether the transgenic plants are more tolerant to drought, an osmotic stress produced by the non-ionic osmolyte sorbitol in the medium can be performed. Control and transgenic plants are germinated and grown in plant-agar plates for 4 days, after which they are transferred to plates containing 500 mM sorbitol. The treatment causes growth retardation, then both control and transgenic plants are compared, by measuring plant weight (wet and dry), yield, and by growth rates measured as time to flowering.

Conversely, soil-based drought screens are performed with plants overexpressing the polynucleotides detailed above. Seeds from control Arabidopsis plants, or other transgenic plants overexpressing the polypeptide of the invention are germinated and transferred to pots. Drought stress is obtained after irrigation is ceased accompanied by placing the pots on absorbent paper to enhance the soil-drying rate. Transgenic and control plants are compared to each other when the majority of the control plants develop severe wilting. Plants are re-watered after obtaining a significant fraction of the control plants displaying a severe wilting. Plants are ranked comparing to controls for each of two criteria: tolerance to the drought conditions and recovery (survival) following re-watering.

Cold stress tolerance - To analyze cold stress, mature (25 day old) plants are transferred to 4° C. chambers for 1 or 2 weeks, with constitutive light. Later on plants are moved back to greenhouse. Two weeks later damages from chilling period, resulting in growth retardation and other phenotypes, are compared between both control and transgenic plants, by measuring plant weight (wet and dry), and by comparing growth rates measured as time to flowering, plant size, yield, and the like.

Heat stress tolerance - Heat stress tolerance is achieved by exposing the plants to temperatures above 34° C. for a certain period. Plant tolerance is examined after transferring the plants back to 22° C. for recovery and evaluation after 5 days relative to internal controls (non-transgenic plants) or plants not exposed to neither cold or heat stress.

Water use efficiency - can be determined as the biomass produced per unit transpiration. To analyze WUE, leaf relative water content can be measured in control and transgenic plants. Fresh weight (FW) is immediately recorded; then leaves are soaked for 8 hours in distilled water at room temperature in the dark, and the turgid weight (TW) is recorded. Total dry weight (DW) is recorded after drying the leaves at 60° C. to a constant weight. Relative water content (RWC) is calculated according to the following Formula I:

$\begin{array}{cc}\text{RWC=}\left[\left(\text{FW}-\text{DW}\right)/\left(\text{TW}-\text{DW}\right)\right]\times 100& \text{­­­Formula I}\end{array}$

Fertilizer use efficiency - To analyze whether the transgenic plants are more responsive to fertilizers, plants are grown in agar plates or pots with a limited amount of fertilizer, as described, for example, in Examples 15-17 hereinbelow and in Yanagisawa et al (Proc Natl Acad Sci U S A. 2004; 101:7833-8). The plants are analyzed for their overall size, time to flowering, yield, protein content of shoot and/or grain. The parameters checked are the overall size of the mature plant, its wet and dry weight, the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Other parameters that may be tested are: the chlorophyll content of leaves (as nitrogen plant status and the degree of leaf verdure is highly correlated), amino acid and the total protein content of the seeds or other plant parts such as leaves or shoots, oil content, etc. Similarly, instead of providing nitrogen at limiting amounts, phosphate or potassium can be added at increasing concentrations. Again, the same parameters measured are the same as listed above. In this way, nitrogen use efficiency (NUE), phosphate use efficiency (PUE) and potassium use efficiency (KUE) are assessed, checking the ability of the transgenic plants to thrive under nutrient restraining conditions.

Nitrogen use efficiency - To analyze whether the transgenic plants (e.g., Arabidopsis plants) are more responsive to nitrogen, plant are grown in 0.75-3 mM (nitrogen deficient conditions) or 6-10 mM (optimal nitrogen concentration). Plants are allowed to grow for additional 25 days or until seed production. The plants are then analyzed for their overall size, time to flowering, yield, protein content of shoot and/or grain/ seed production. The parameters checked can be the overall size of the plant, wet and dry weight, the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Other parameters that may be tested are: the chlorophyll content of leaves (as nitrogen plant status and the degree of leaf greenness is highly correlated), amino acid and the total protein content of the seeds or other plant parts such as leaves or shoots and oil content. Transformed plants not exhibiting substantial physiological and/or morphological effects, or exhibiting higher measured parameters levels than wild-type plants, are identified as nitrogen use efficient plants.

Nitrogen Use efficiency assay using plantlets - The assay is done according to Yanagisawa-S. et al. with minor modifications (“Metabolic engineering with Dof1 transcription factor in plants: Improved nitrogen assimilation and growth under low-nitrogen conditions” Proc. Natl. Acad. Sci. USA 101, 7833-7838). Briefly, transgenic plants which are grown for 7-10 days in 0.5 x MS [Murashige-Skoog] supplemented with a selection agent are transferred to two nitrogen-limiting conditions: MS media in which the combined nitrogen concentration (NH₄NO₃ and KNO₃) was 0.75 mM (nitrogen deficient conditions) or 6-15 mM (optimal nitrogen concentration). Plants are allowed to grow for additional 30-40 days and then photographed, individually removed from the Agar (the shoot without the roots) and immediately weighed (fresh weight) for later statistical analysis. Constructs for which only T1 seeds are available are sown on selective media and at least 20 seedlings (each one representing an independent transformation event) are carefully transferred to the nitrogen-limiting media. For constructs for which T2 seeds are available, different transformation events are analyzed. Usually, 20 randomly selected plants from each event are transferred to the nitrogen-limiting media allowed to grow for 3-4 additional weeks and individually weighed at the end of that period. Transgenic plants are compared to control plants grown in parallel under the same conditions. Mock- transgenic plants expressing the uidA reporter gene (GUS) under the same promoter or transgenic plants carrying the same promoter but lacking a reporter gene are used as control.

Nitrogen determination - The procedure for N (nitrogen) concentration determination in the structural parts of the plants involves the potassium persulfate digestion method to convert organic N to NO₃^- (Purcell and King 1996 Argon. J. 88:111-113, the modified Cd^- mediated reduction of NO₃^- to NO₂^- (Vodovotz 1996 Biotechniques 20:390-394) and the measurement of nitrite by the Griess assay (Vodovotz 1996, supra). The absorbance values are measured at 550 nm against a standard curve of NaNO₂. The procedure is described in details in Samonte et al. 2006 Agron. J. 98:168-176.

Germination tests - Germination tests compare the percentage of seeds from transgenic plants that could complete the germination process to the percentage of seeds from control plants that are treated in the same manner. Normal conditions are considered for example, incubations at 22° C. under 22-hour light 2-hour dark daily cycles. Evaluation of germination and seedling vigor is conducted between 4 and 14 days after planting. The basal media is 50% MS medium (Murashige and Skoog, 1962 Plant Physiology 15, 473-497).

Germination is checked also at unfavorable conditions such as cold (incubating at temperatures lower than 10° C. instead of 22° C.) or using seed inhibition solutions that contain high concentrations of an osmolyte such as sorbitol (at concentrations of 50 mM, 100 mM, 200 mM, 300 mM, 500 mM, and up to 1000 mM) or applying increasing concentrations of salt (of 50 mM, 100 mM, 200 mM, 300 mM, 500 mM NaCl).

The effect of the transgene on plant’s vigor, growth rate, biomass, yield and/or oil content can be determined using known methods.

Plant vigor - The plant vigor can be calculated by the increase in growth parameters such as leaf area, fiber length, rosette diameter, plant fresh weight and the like per time.

Growth rate - The growth rate can be measured using digital analysis of growing plants. For example, images of plants growing in greenhouse on plot basis can be captured every 3 days and the rosette area can be calculated by digital analysis. Rosette area growth is calculated using the difference of rosette area between days of sampling divided by the difference in days between samples.

Evaluation of growth rate can be done by measuring plant biomass produced, rosette area, leaf size or root length per time (can be measured in cm² per day of leaf area).

Relative growth area can be calculated using Formula II.

Formula II: Relative growth rate area = Regression coefficient of area along time course

Thus, the relative growth area rate is in units of area units (e.g., mm²/day or cm²/day) and the relative length growth rate is in units of length units (e.g., cm/day or mm/day).

For example, RGR can be determined for plant height (Formula III), SPAD (Formula IV), Number of tillers (Formula V), root length (Formula VI), vegetative growth (Formula VII), leaf number (Formula VIII), rosette area (Formula IX), rosette diameter (Formula X), plot coverage (Formula XI), leaf blade area (Formula XII), and leaf area (Formula XIII).

Formula III: Relative growth rate of Plant height = Regression coefficient of Plant height along time course (measured in cm/day).

Formula IV: Relative growth rate of SPAD = Regression coefficient of SPAD measurements along time course.

Formula V: Relative growth rate of Number of tillers = Regression coefficient of Number of tillers along time course (measured in units of “number of tillers/day”).

Formula VI: Relative growth rate of root length = Regression coefficient of root length along time course (measured in cm per day).

Vegetative growth rate analysis - was calculated according to Formula VII below.

Formula VII: Relative growth rate of vegetative growth = Regression coefficient of vegetative weight along time course (measured in grams per day).

Formula VIII: Relative growth rate of leaf number = Regression coefficient of leaf number along time course (measured in number per day).

Formula IX: Relative growth rate of rosette area = Regression coefficient of rosette area along time course (measured in cm² per day).

Formula X: Relative growth rate of rosette diameter = Regression coefficient of rosette diameter along time course (measured in cm per day).

Formula XI: Relative growth rate of plot coverage = Regression coefficient of plot (measured in cm² per day).

Formula XII: Relative growth rate of leaf blade area = Regression coefficient of leaf area along time course (measured in cm² per day).

Formula XIII: Relative growth rate of leaf area = Regression coefficient of leaf area along time course (measured in cm² per day).

Formula XIV: 1000 Seed Weight = number of seed in sample/ sample weight X 1000

The Harvest Index can be calculated using Formulas XV, XVI, XVII, XVIII and XXXVII below.

Formula XV: Harvest Index (seed) = Average seed yield per plant/ Average dry weight.

Formula XVI: Harvest Index (Sorghum) = Average grain dry weight per Head / (Average vegetative dry weight per Head + Average Head dry weight)

Formula XVII: Harvest Index (Maize) = Average grain weight per plant/ (Average vegetative dry weight per plant plus Average grain weight per plant)

Harvest Index (for barley) - The harvest index is calculated using Formula XVIII.

Formula XVIII: Harvest Index (for barley and wheat) = Average spike dry weight per plant/ (Average vegetative dry weight per plant + Average spike dry weight per plant).

Following is a non-limited list of additional parameters which can be detected in order to show the effect of the transgene on the desired plant’s traits:

• Formula XIX: Grain circularity = 4 x 3.14 (grain area/perimeter²)
• Formula XX: internode volume = 3.14 x (d/2) ² x 1
• Formula XXI: Normalized ear weight per plant + vegetative dry weight.

Formula XXII: Root/Shoot Ratio = total weight of the root at harvest/ total weight of the vegetative portion above ground at harvest. (=RBiH/BiH)

Formula XXIII: Ratio of the number of pods per node on main stem at pod set = Total number of pods on main stem /Total number of nodes on main stem.

Formula XXIV: Ratio of total number of seeds in main stem to number of seeds on lateral branches = Total number of seeds on main stem at pod set/ Total number of seeds on lateral branches at pod set.

Formula XXV: Petiole Relative Area = (Petiole area)/Rosette area (measured in %).

Formula XXVI:% reproductive tiller percentage = Number of Reproductive tillers/number of tillers) X 100.

Formula XXVII: Spikes Index = Average Spikes weight per plant/ (Average vegetative dry weight per plant plus Average Spikes weight per plant).

Formula XXVIII: Relative growth rate of root coverage = Regression coefficient of root coverage along time course.

Formula XXIX: Seed Oil yield = Seed yield per plant (gr.) * Oil% in seed.

Formula XXX: shoot/root Ratio = total weight of the vegetative portion above ground at harvest/ total weight of the root at harvest.

Formula XXXI: Spikelets Index = Average Spikelets weight per plant/ (Average vegetative dry weight per plant plus Average Spikelets weight per plant).

Formula XXXII:% Canopy coverage = (1-(PAR_DOWN/PAR_UP))x100.

Formula XXXIII: leaf mass fraction = Leaf area / shoot FW.

Formula XXXIV: Relative growth rate based on dry weight = Regression coefficient of dry weight along time course.

Formula XXXV: Total dry matter (for Maize) = Normalized ear weight per plant + vegetative dry weight.

Formula XXXVI:

$\frac{\begin{array}{l}\text{Agronomical NUE=}\\ Yieldperplant{\left(Kg.\right)}^{\text{X Nitrogen Fertilization}}\text{-}Yieldperplant{\left(Kg.\right)}^{0\%\text{Nitrogen Fertilization}}\end{array}}{Fertilize{r}^{\text{X}}}$

Formula XXXVII: Harvest Index (brachypodium) = Average grain weight/average dry (vegetative + spikelet) weight per plant.

Formula XXXVIII: Harvest Index for Sorghum* (* when the plants were not dried) = FW (fresh weight) Heads/(FW Heads + FW Plants)

Grain fill rate [mg/day] - Rate of dry matter accumulation in grain. The grain fill rate is calculated using Formula XXXIX

Formula XXXIX: Grain fill rate [mg/day] = [Grain weight*ear-1 x 1000]/[Grain number*ear -1] x Grain filling duration].

Grain protein concentration - Grain protein content (g grain protein m^-2) is estimated as the product of the mass of grain N (g grain N m^-2) multiplied by the N/protein conversion ratio of k-5.13 (Mosse 1990, supra). The grain protein concentration is estimated as the ratio of grain protein content per unit mass of the grain (g grain protein kg^-1 grain).

Fiber length - Fiber length can be measured using fibrograph. The fibrograph system was used to compute length in terms of “Upper Half Mean” length. The upper half mean (UHM) is the average length of longer half of the fiber distribution. The fibrograph measures length in span lengths at a given percentage point (cottoninc (dot) com/ClassificationofCotton/?Pg=4#Length).

According to some embodiments of the invention, increased yield of corn may be manifested as one or more of the following: increase in the number of plants per growing area, increase in the number of ears per plant, increase in the number of rows per ear, number of kernels per ear row, kernel weight, thousand kernel weight (1000-weight), ear length/diameter, increase oil content per kernel and increase starch content per kernel.

As mentioned, the increase of plant yield can be determined by various parameters. For example, increased yield of rice may be manifested by an increase in one or more of the following: number of plants per growing area, number of panicles per plant, number of spikelets per panicle, number of flowers per panicle, increase in the seed filling rate, increase in thousand kernel weight (1000-weight), increase oil content per seed, increase starch content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Similarly, increased yield of soybean may be manifested by an increase in one or more of the following: number of plants per growing area, number of pods per plant, number of seeds per pod, increase in the seed filling rate, increase in thousand seed weight (1000-weight), reduce pod shattering, increase oil content per seed, increase protein content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Increased yield of canola may be manifested by an increase in one or more of the following: number of plants per growing area, number of pods per plant, number of seeds per pod, increase in the seed filling rate, increase in thousand seed weight (1000-weight), reduce pod shattering, increase oil content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Increased yield of cotton may be manifested by an increase in one or more of the following: number of plants per growing area, number of bolls per plant, number of seeds per boll, increase in the seed filling rate, increase in thousand seed weight (1000-weight), increase oil content per seed, improve fiber length, fiber strength, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Oil content - The oil content of a plant can be determined by extraction of the oil from the seed or the vegetative portion of the plant. Briefly, lipids (oil) can be removed from the plant (e.g., seed) by grinding the plant tissue in the presence of specific solvents (e.g., hexane or petroleum ether) and extracting the oil in a continuous extractor. Indirect oil content analysis can be carried out using various known methods such as Nuclear Magnetic Resonance (NMR) Spectroscopy, which measures the resonance energy absorbed by hydrogen atoms in the liquid state of the sample [See for example, Conway TF. and Earle FR., 1963, Journal of the American Oil Chemists’ Society; Springer Berlin / Heidelberg, ISSN: 0003-021X (Print) 1558-9331 (Online)]; the Near Infrared (NI) Spectroscopy, which utilizes the absorption of near infrared energy (1100-2500 nm) by the sample; and a method described in WO/2001/023884, which is based on extracting oil a solvent, evaporating the solvent in a gas stream which forms oil particles, and directing a light into the gas stream and oil particles which forms a detectable reflected light.

Thus, the present invention is of high agricultural value for promoting the yield of commercially desired crops (e.g., biomass of vegetative organ such as poplar wood, or reproductive organ such as number of seeds or seed biomass).

Any of the transgenic plants described hereinabove or parts thereof may be processed to produce a feed, meal, protein or oil preparation, such as for ruminant animals.

The transgenic plants described hereinabove, which exhibit an increased oil content can be used to produce plant oil (by extracting the oil from the plant).

The plant oil (including the seed oil and/or the vegetative portion oil) produced according to the method of the invention may be combined with a variety of other ingredients. The specific ingredients included in a product are determined according to the intended use. Exemplary products include animal feed, raw material for chemical modification, biodegradable plastic, blended food product, edible oil, biofuel, cooking oil, lubricant, biodiesel, snack food, cosmetics, and fermentation process raw material. Exemplary products to be incorporated to the plant oil include animal feeds, human food products such as extruded snack foods, breads, as a food binding agent, aquaculture feeds, fermentable mixtures, food supplements, sport drinks, nutritional food bars, multi-vitamin supplements, diet drinks, and cereal foods.

According to some embodiments of the invention, the oil comprises a seed oil.

According to some embodiments of the invention, the oil comprises a vegetative portion oil (oil of the vegetative portion of the plant).

According to some embodiments of the invention, the plant cell forms a part of a plant.

According to another embodiment of the present invention, there is provided a food or feed comprising the plants or a portion thereof of the present invention.

As used herein the term “about” refers to ± 10%.

The terms “comprises”, “comprising”, “includes”, “including”, “having” and their conjugates mean “including but not limited to”.

The term “consisting of” means “including and limited to”.

The term “consisting essentially of” means that the composition, method or structure may include additional ingredients, steps and/or parts, but only if the additional ingredients, steps and/or parts do not materially alter the basic and novel characteristics of the claimed composition, method or structure.

As used herein, the singular form “a”, “an” and “the” include plural references unless the context clearly dictates otherwise. For example, the term “a compound” or “at least one compound” may include a plurality of compounds, including mixtures thereof.

Throughout this application, various embodiments of this invention may be presented in a range format. It should be understood that the description in range format is merely for convenience and brevity and should not be construed as an inflexible limitation on the scope of the invention. Accordingly, the description of a range should be considered to have specifically disclosed all the possible subranges as well as individual numerical values within that range. For example, description of a range such as from 1 to 6 should be considered to have specifically disclosed subranges such as from 1 to 3, from 1 to 4, from 1 to 5, from 2 to 4, from 2 to 6, from 3 to 6 etc., as well as individual numbers within that range, for example, 1, 2, 3, 4, 5, and 6. This applies regardless of the breadth of the range.

Whenever a numerical range is indicated herein, it is meant to include any cited numeral (fractional or integral) within the indicated range. The phrases “ranging/ranges between” a first indicate number and a second indicate number and “ranging/ranges from” a first indicate number “to” a second indicate number are used herein interchangeably and are meant to include the first and second indicated numbers and all the fractional and integral numerals therebetween.

As used herein the term “method” refers to manners, means, techniques and procedures for accomplishing a given task including, but not limited to, those manners, means, techniques and procedures either known to, or readily developed from known manners, means, techniques and procedures by practitioners of the chemical, pharmacological, biological, biochemical and medical arts.

When reference is made to particular sequence listings, such reference is to be understood to also encompass sequences that substantially correspond to its complementary sequence as including minor sequence variations, resulting from, e.g., sequencing errors, cloning errors, or other alterations resulting in base substitution, base deletion or base addition, provided that the frequency of such variations is less than 1 in 50 nucleotides, alternatively, less than 1 in 100 nucleotides, alternatively, less than 1 in 200 nucleotides, alternatively, less than 1 in 500 nucleotides, alternatively, less than 1 in 1000 nucleotides, alternatively, less than 1 in 5,000 nucleotides, alternatively, less than 1 in 10,000 nucleotides.

It is appreciated that certain features of the invention, which are, for clarity, described in the context of separate embodiments, may also be provided in combination in a single embodiment. Conversely, various features of the invention, which are, for brevity, described in the context of a single embodiment, may also be provided separately or in any suitable subcombination or as suitable in any other described embodiment of the invention. Certain features described in the context of various embodiments are not to be considered essential features of those embodiments, unless the embodiment is inoperative without those elements.

Various embodiments and aspects of the present invention as delineated hereinabove and as claimed in the claims section below find experimental support in the following examples.

EXAMPLES

Reference is now made to the following examples, which together with the above descriptions illustrate some embodiments of the invention in a non limiting fashion.

Generally, the nomenclature used herein and the laboratory procedures utilized in the present invention include molecular, biochemical, microbiological and recombinant DNA techniques. Such techniques are thoroughly explained in the literature. See, for example, “Molecular Cloning: A laboratory Manual” Sambrook et al., (1989); “Current Protocols in Molecular Biology” Volumes I-III Ausubel, R. M., ed. (1994); Ausubel et al., “Current Protocols in Molecular Biology”, John Wiley and Sons, Baltimore, Maryland (1989); Perbal, “A Practical Guide to Molecular Cloning”, John Wiley & Sons, New York (1988); Watson et al., “Recombinant DNA”, Scientific American Books, New York; Birren et al. (eds) “Genome Analysis: A Laboratory Manual Series”, Vols. 1-4, Cold Spring Harbor Laboratory Press, New York (1998); methodologies as set forth in U.S. Pat. Nos. 4,666,828; 4,683,202; 4,801,531; 5,192,659 and 5,272,057; “Cell Biology: A Laboratory Handbook”, Volumes I-III Cellis, J. E., ed. (1994); “Current Protocols in Immunology” Volumes I-III Coligan J. E., ed. (1994); Stites et al. (eds), “Basic and Clinical Immunology” (8th Edition), Appleton & Lange, Norwalk, CT (1994); Mishell and Shiigi (eds), “Selected Methods in Cellular Immunology”, W. H. Freeman and Co., New York (1980); available immunoassays are extensively described in the patent and scientific literature, see, for example, U.S. Pat. Nos. 3,791,932; 3,839,153; 3,850,752; 3,850,578; 3,853,987; 3,867,517; 3,879,262; 3,901,654; 3,935,074; 3,984,533; 3,996,345; 4,034,074; 4,098,876; 4,879,219; 5,011,771 and 5,281,521; “Oligonucleotide Synthesis” Gait, M. J., ed. (1984); “Nucleic Acid Hybridization” Hames, B. D., and Higgins S. J., eds. (1985); “Transcription and Translation” Hames, B. D., and Higgins S. J., Eds. (1984); “Animal Cell Culture” Freshney, R. I., ed. (1986); “Immobilized Cells and Enzymes” IRL Press, (1986); “A Practical Guide to Molecular Cloning” Perbal, B., (1984) and “Methods in Enzymology” Vol. 1-317, Academic Press; “PCR Protocols: A Guide To Methods And Applications”, Academic Press, San Diego, CA (1990); Marshak et al., “Strategies for Protein Purification and Characterization - A Laboratory Course Manual” CSHL Press (1996); all of which are incorporated by reference as if fully set forth herein. Other general references are provided throughout this document. The procedures therein are believed to be well known in the art and are provided for the convenience of the reader. All the information contained therein is incorporated herein by reference.

GENERAL EXPERIMENTAL AND BIOINFORMATICS METHODS

RNA extraction - Tissues growing at various growth conditions (as described below) were sampled and RNA was extracted using TRIzol Reagent from Invitrogen [Hypertext Transfer Protocol://World Wide Web (dot) invitrogen (dot) com/content (dot)cfm?pageid=469]. Approximately 30-50 mg of tissue was taken from samples. The weighed tissues were ground using pestle and mortar in liquid nitrogen and resuspended in 500 µl of TRIzol Reagent. To the homogenized lysate, 100 µl of chloroform was added followed by precipitation using isopropanol and two washes with 75% ethanol. The RNA was eluted in 30 µl of RNase-free water. RNA samples were cleaned up using Qiagen’s RNeasy minikit clean-up protocol as per the manufacturer’s protocol (QIAGEN Inc, CA USA). For convenience, each micro-array expression information tissue type has received an expression Set ID.

Correlation analysis - was performed for selected genes according to some embodiments of the invention, in which the characterized parameters (measured parameters according to the correlation IDs) were used as “x axis” for correlation with the tissue transcriptom which was used as the “Y axis”. For each gene and measured parameter a correlation coefficient “R” was calculated (using Pearson correlation) along with a p-value for the significance of the correlation. When the correlation coefficient (R) between the levels of a gene’s expression in a certain tissue and a phenotypic performance across ecotypes/variety/hybrid is high in absolute value (between 0.5-1), there is an association between the gene (specifically the expression level of this gene) the phenotypic characteristic (e.g., improved nitrogen use efficiency, abiotic stress tolerance, yield, growth rate and the like).

Example 1

Identifying Genes Which Increase Nitrogen Use Efficiency (NUE), Fertilizer Use Efficiency (FUE), Yield, Growth Rate, Vigor, Biomass, Oil Content, Abiotic Stress Tolerance (ABST) and/or Water Use Efficiency (WUE) in Plants

The present inventors have identified polynucleotides which upregulation of expression thereof in plants increases nitrogen use efficiency (NUE), fertilizer use efficiency (FUE), yield (e.g., seed yield, oil yield, biomass, grain quantity and/or quality), growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, abiotic stress tolerance (ABST) and/or water use efficiency (WUE) of a plant.

All nucleotide sequence datasets used here were originated from publicly available databases or from performing sequencing using the Solexa technology (e.g. Barley and Sorghum). Sequence data from 100 different plant species was introduced into a single, comprehensive database. Other information on gene expression, protein annotation, enzymes and pathways were also incorporated. Major databases used include:

• Genomes
  • Arabidopsis genome [TAIR genome version 6 (arabidopsis (dot) org/)]
  • Rice genome [IRGSP build 4.0 (rgp (dot) dna (dot) affrc (dot) go (dot) jp/IRGSP/)] .
  • Poplar [Populus trichocarpa release 1.1 from JGI (assembly release v1.0) (genome (dot) jgi-psf (dot) org/)]
  • Brachypodium [JGI 4x assembly, brachpodium (dot) org)]
  • Soybean [DOE-JGI SCP, version Glyma0 or Glyma1 (phytozome (dot) net/)] Grape [French-Italian Public Consortium for Grapevine Genome Characterization grapevine genome (genoscope (dot) cns (dot) fr /)]
  • Castobean [TIGR/J Craig Venter Institute 4x assembly [(msc (dot) jcvi (dot) org/r_communis]
  • Sorghum [DOE-JGI SCP, version Sbi1 [phytozome (dot) net/)].
  • Maize [maizesequence (dot) org/]
  • Cucumber [cucumber (dot) genomics (dot) org (dot) cn/page/cucumber/index (dot) jsp]
  • Tomato [solgenomics (dot) net/tomato/]
  • Cassava [phytozome (dot) net/cassava (dot) php]
• Expressed EST and mRNA sequences were extracted from the following databases:
  • GenBank (ncbi (dot) nlm (dot) nih (dot) gov/Genbank/).
  • RefSeq (ncbi (dot) nlm (dot) nih (dot) gov/RefSeq/).
  • TAIR (arabidopsis (dot) org/).
• Protein and pathway databases
  • Uniprot [uniprot (dot) org/].
  • AraCyc [arabidopsis (dot) org/biocyc/index (dot) jsp].
  • ENZYME [expasy (dot) org/enzyme/].
• Microarray datasets were downloaded from:
  • GEO (ncbi (dot) nlm (dot) nih (dot) gov/geo/)
  • TAIR (Arabidopsis (dot) org/).
  • Proprietary micro-array data (See WO2008/122980 and Examples 3-11 below).
• QTL and SNPs information
  • Gramene [gramene (dot) org/qtl/].
  • Panzea [panzea (dot) org/index (dot) html].
  • Soybean QTL: [soybeanbreederstoolbox(dot) com/].

Database Assembly - was performed to build a wide, rich, reliable annotated and easy database comprised of publicly available genomic mRNA, ESTs DNA sequences, data from various crops as well as gene expression, protein annotation and pathway, QTLs data, and other relevant information.

Database assembly is comprised of a toolbox of gene refining, structuring, annotation and analysis tools enabling to construct a tailored database for each gene discovery project. Gene refining and structuring tools enable to reliably detect splice variants and antisense transcripts, generating understanding of various potential phenotypic outcomes of a single gene. The capabilities of the “LEADS” platform of Compugen LTD for analyzing human genome have been confirmed and accepted by the scientific community [see e.g., “Widespread Antisense Transcription”, Yelin, et al. (2003) Nature Biotechnology 21, 379-85; “Splicing of Alu Sequences”, Lev-Maor, et al. (2003) Science 300 (5623), 1288-91; “Computational analysis of alternative splicing using EST tissue information”, Xie H et al. Genomics 2002], and have been proven most efficient in plant genomics as well.

EST clustering and gene assembly - For gene clustering and assembly of organisms with available genome sequence data (arabidopsis, rice, castorbean, grape, brachypodium, poplar, soybean, sorghum) the genomic LEADS version (GANG) was employed. This tool allows most accurate clustering of ESTs and mRNA sequences on genome, and predicts gene structure as well as alternative splicing events and anti-sense transcription.

For organisms with no available full genome sequence data, “expressed LEADS” clustering software was applied.

Gene annotation - Predicted genes and proteins were annotated as follows:

Sequences blast search [blast (dot) ncbi (dot) nlm (dot) nih (dot) gov /Blast (dot) cgi] against all plant UniProt [uniprot (dot) org/] was performed. Open reading frames of each putative transcript were analyzed and longest ORF with higher number of homologues was selected as predicted protein of the transcript. The predicted proteins were analyzed by InterPro [ebi (dot) ac (dot) uk/interpro/].

Blast against proteins from AraCyc and ENZYME databases was used to map the predicted transcripts to AraCyc pathways.

Predicted proteins from different species were compared using blast algorithm [ncbi (dot) nlm (dot) nih (dot) gov /Blast (dot) cgi] to validate the accuracy of the predicted protein sequence, and for efficient detection of orthologs.

Gene expression profiling - Several data sources were exploited for gene expression profiling, namely microarray data and digital expression profile (see below). According to gene expression profile, a correlation analysis was performed to identify genes which are co-regulated under different development stages and environmental conditions and associated with different phenotypes.

Publicly available microarray datasets were downloaded from TAIR and NCBI GEO sites, renormalized, and integrated into the database. Expression profiling is one of the most important resource data for identifying genes important for yield.

A digital expression profile summary was compiled for each cluster according to all keywords included in the sequence records comprising the cluster. Digital expression, also known as electronic Northern Blot, is a tool that displays virtual expression profile based on the EST sequences forming the gene cluster. The tool provides the expression profile of a cluster in terms of plant anatomy (e.g., the tissue/organ in which the gene is expressed), developmental stage (the developmental stages at which a gene can be found) and profile of treatment (provides the physiological conditions under which a gene is expressed such as drought, cold, pathogen infection, etc). Given a random distribution of ESTs in the different clusters, the digital expression provides a probability value that describes the probability of a cluster having a total of N ESTs to contain X ESTs from a certain collection of libraries. For the probability calculations, the following is taken into consideration: a) the number of ESTs in the cluster, b) the number of ESTs of the implicated and related libraries, c) the overall number of ESTs available representing the species. Thereby clusters with low probability values are highly enriched with ESTs from the group of libraries of interest indicating a specialized expression.

Recently, the accuracy of this system was demonstrated by Portnoy et al., 2009 (Analysis Of The Melon Fruit Transcriptome Based On 454 Pyrosequencing) in: Plant & Animal Genomes XVII Conference, San Diego, CA. Transcriptomic analysis, based on relative EST abundance in data was performed by 454 pyrosequencing of cDNA representing mRNA of the melon fruit. Fourteen double strand cDNA samples obtained from two genotypes, two fruit tissues (flesh and rind) and four developmental stages were sequenced. GS FLX pyrosequencing (Roche/454 Life Sciences) of non-normalized and purified cDNA samples yielded 1,150,657 expressed sequence tags (ESTs) that assembled into 67,477 unigenes (32,357 singletons and 35,120 contigs). Analysis of the data obtained against the Cucurbit Genomics Database [icugi (dot) org/] confirmed the accuracy of the sequencing and assembly. Expression patterns of selected genes fitted well their qRT-PCR data.

Overall, 215 genes were identified to have a major impact on nitrogen use efficiency, fertilizer use efficiency, yield (e.g., seed yield, oil yield, grain quantity and/or quality), growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, abiotic stress tolerance and/or water use efficiency when expression thereof is increased in plants. The identified genes, their curated polynucleotide and polypeptide sequences, as well as their updated sequences according to GenBank database are summarized in Table 1, hereinbelow.

Identified polynucleotides for increasing nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, abiotic stress tolerance and/or water use efficiency of a plant
Gene Name	Cluster tag	Organism	Polyn. SEQ ID NO:	Polyp. SEQ ID NO:
LNU749	barley|10v2|AV834836	barley	1	496
LNU749	barley|10v2|AV834836	barley	1	712
LNU750	barley|10v2|BE215751	barley	2	497
LNU750	barley|10v2|BE215751	barley	2	497
LNU751	barley|10v2|BE413235	barley	3	498
LNU752	barley|10v2|BE421033	barley	4	499
LNU753	barley|10v2|BE422116	barley	5	500
LNU754	barley|10v2|BE601673	barley	6	501
LNU756	barley|10v2|BF620955	barley	7	502
LNU757	barley|10v2|BF624113	barley	8	503
LNU758	barley|10v2|BF629458	barley	9	504
LNU759	barley|10v2|BM376337	barley	10	505
LNU760	barley|12v1|CX630466	barley	11	506
LNU761	barley|12v1|AJ463320	barley	12	507
LNU762	barley|12v1|AV834698	barley	13	508
LNU763	barley|12v1|AV836421	barley	14	509
LNU764	barley|12v1|AV914625	barley	15	510
LNU766	barley|12v1|AW983189	barley	16	511
LNU767	barley|12v1|BE196490	barley	17	512
LNU768	barley|12v1|BE216887	barley	18	513
LNU769	barley|12v1|BE437319	barley	19	514
LNU770	barley|12v1|BE602491	barley	20	515
LNU771	barley|12v1|BF064919	barley	21	516
LNU772	barley|12v1|BF253521	barley	22	517
LNU773	barley|12v1|BF256991	barley	23	518
LNU774	barley|12v1|BF258839	barley	24	519
LNU775	barley|12v1|BF266348	barley	25	520
LNU776	barley|12v1|BF266777	barley	26	521
LNU777	barley|12v1|BF628559	barley	27	522
LNU778	barley|12v1|BG300262	barley	28	523
LNU779	barley|12v1|BG309380	barley	29	524
LNU780	barley|12v1|BI779788	barley	30	525
LNU781	barley|12v1|BI948718	barley	31	526
LNU782	barley|12v1|BI1950988	barley	32	527
LNU783	barley|12v1|BI957813	barley	33	528
LNU784	barley|12v1|BQ762763	barley	34	529
LNU785	barley|12v1|BU986731	barley	35	530
LNU786	barley|12v1|EX599010	barley	36	531
LNU787	brachypodium|12v1|BRADI1G37175	brachypo dium	37	532
LNU788	brachypodium|12v1|BRADI1G51187	brachypo dium	38	533
LNU789	brachypodium|12v1|BRADI1G64180	brachypo dium	39	534
LNU790	brachypodium|12v1|BRADI1G64950	brachypo dium	40	535
LNU791	brachypodium|12v1|BRADI1G69030	brachypo dium	41	536
LNU792	brachypodium|12v1|BRADI2G51430	brachypo dium	42	537
LNU793	brachypodium|12v1|BRADI2G53980	brachypo dium	43	538
LNU794	brachypodium|12v1|BRADI3G16630T 2	brachypo dium	44	539
LNU795	brachypodium|12v1|BRADI4G01230	brachypo dium	45	540
LNU796	brachypodium|12v1|BRADI4G05020	brachypo dium	46	541
LNU797	brachypodium|12v1|BRADI4G07060	brachypo dium	47	542
LNU798	brachypodium|12v1|BRADI4G27334	brachypo dium	48	543
LNU799	brachypodium|12v1|BRADI4G29720	brachypo dium	49	544
LNU800	brachypodium|12v1|BRADISG16060	brachypo dium	50	545
LNU801	foxtail_millet|11v3|PHY7SI000598M	foxtail_mi llet	51	546
LNU802	foxtail_millet|11v3|PHY7SI000948M	foxtail_mi llet	52	547
LNU803	foxtail_millet|11v3|PHY7SI003585M	foxtail_mi llet	53	548
LNU804	foxtail_millet|11v3|PHY7SI009882M	foxtail_mi llet	54	549
LNU805	foxtail_millet|11v3|PHY7SI013938M	foxtail_mi llet	55	550
LNU806	foxtail_millet|11v3|PHY7SI014253M	foxtail_mi llet	56	551
LNU807	foxtail_millet|11v3|PHY7SI021778M	foxtail_mi llet	57	552
LNU808	foxtail_millet|11v3|PHY7SI023199M	foxtail_mi llet	58	553
LNU809	foxtail_millet|11v3|PHY7SI036241M	foxtail_mi llet	59	554
LNU810	foxtail_millet|11v3|SICRP086135	foxtail_mi llet	60	555
LNU811	maize|10v1|AI601011	maize	61	556
LNU813	maize|10v1|AI629666	maize	62	557
LNU814	maize|10v1|AI637029	maize	63	558
LNU815	maize|10v1|AI979480	maize	64	559
LNU816	maize|10v1|AI979737	maize	65	560
LNU817	maize|10v1|AW231541	maize	66	561
LNU818	maize|10v1|AW267199	maize	67	562
LNU819	maize|10v1|AW282410	maize	68	563
LNU820	maize|10v1|AW288911	maize	69	564
LNU821	maize|10v1|AW497499	maize	70	565
LNU822	maize|10v1|AW927651	maize	71	566
LNU823	maize|10v1|BE512590	maize	72	567
LNU824	maize|10v1|BE552882	maize	73	568
LNU825	maize|10v1|BE575202	maize	74	569
LNU828	maize|10v1|BG458848	maize	75	570
LNU829	maize|10v1|BG549052	maize	76	571
LNU830	maize|10v1|BI679654	maize	77	572
LNU831	maize|10v1|BM269210	maize	78	573
LNU832	maize|10v1|BM895367	maize	79	574
LNU833	maize|10v1|BU036574	maize	80	575
LNU834	maize|10v1|CB816561	maize	81	576
LNU835	maize|10v1|CD986056	maize	82	577
LNU837	maize|10v1|CF064369	maize	83	578
LNU838	maize|10v1|CF634284	maize	84	579
LNU839	maize|10v1|CO523359	maize	85	580
LNU840	maize|10v1|DN208554	maize	86	581
LNU841	maize|10v1|DN225757	maize	87	582
LNU843	maize|10v1|EE187987	maize	88	583
LNU844	maize|10v1|T18396	maize	89	584
LNU845	maize|10v1|W21625	maize	90	585
LNU846	maize|gb170|AF093537	maize	91	586
LNU847	medicago|12v1|AL366283	medicago	92	587
LNU848	rice|11v1|AF072694	rice	93	588
LNU849	rice|11v1|AU057716	rice	94	589
LNU850	rice|11v1|BI306328	rice	95	590
LNU851	rice|11v1|BI813446	rice	96	591
LNU852	rice|11v1|CA764428	rice	97	592
LNU853	rice|11v1|ICB645176	rice	98	593
LNU854	rice|11v1|IGFXAF377947X27	rice	99	594
LNU856	sorghum|09v1|SB10G011070	sorghum	100	595
LNU857	sorghum|11v1|SB10G007600	sorghum	101	596
LNU858	sorghum|12v1|AW285114	sorghum	102	597
LNU861	sorghum|12v1|BE918914	sorghum	103	598
LNU862	sorghum|12v1|BG356040	sorghum	104	599
LNU864	sorghum|12v1|CD424245	sorghum	105	600
LNU865	sorghum|12v1|SB0169S002030	sorghum	106	601
LNU866	sorghum|12v1|SB01G003110	sorghum	107	602
LNU867	sorghum|12v1|SB01G004510	sorghum	108	603
LNU868	sorghum|12v1|SB01G005240	sorghum	109	604
LNU869	sorghum|12v1|SB01G006870	sorghum	110	605
LNU870	sorghum|12v1|SB01G006930	sorghum	111	606
LNU871	sorghum|12v1|SB01G007380	sorghum	112	607
LNU872	sorghum|12v1|SB01G011260	sorghum	113	608
LNU873	sorghum|12v1|SB01G011890	sorghum	114	609
LNU874	sorghum|12v1|SB01G015540	sorghum	115	610
LNU875	sorghum|12v1|SB01G017100	sorghum	116	611
LNU876	sorghum|12v1|SB01G032593P1	sorghum	117	612
LNU878	sorghum|12v1|SB01G035780	sorghum	118	613
LNU879	sorghum|12v1|SB01G040060	sorghum	119	614
LNU880	sorghum|12v1|SB01G046630	sorghum	120	615
LNU881	sorghum|12v1|SB01G047345	sorghum	121	616
LNU882	sorghum|12v1|SB01G048200	sorghum	122	617
LNU883	sorghum|12v1|SB01G048670	sorghum	123	618
LNU884	sorghum|12v1|SB01G048910	sorghum	124	619
LNU885	sorghum|12v1|SB02G001450	sorghum	125	620
LNU886	sorghum|12v1|SB02G002020	sorghum	126	621
LNU887	sorghum|12v1|SB02G003980	sorghum	127	622
LNU888	sorghum|12v1|SB02G009320	sorghum	128	623
LNU889	sorghum|12v1|SB02G023760	sorghum	129	624
LNU890	sorghum|12v1|SB02G027260	sorghum	130	625
LNU892	sorghum|12v1|SB02G033210	sorghum	131	626
LNU893	sorghum|12v1|SB02G036470	sorghum	132	627
LNU894	sorghum|12v1|SB02G039430	sorghum	133	628
LNU895	sorghum|12v1|SB02G042020	sorghum	134	629
LNU896	sorghum|12v1|SB02G043060	sorghum	135	630
LNU897	sorghum|12v1|SB02G043340	sorghum	136	631
LNU898	sorghum|12v1|SB03G001900	sorghum	137	632
LNU899	sorghum|12v1|SB03G003880	sorghum	138	633
LNU900	sorghuml12v1|SB03G004920	sorghum	139	634
LNU901	sorghum|12v1|SB03G006670	sorghum	140	635
LNU902	sorghum|12v1|SB03G009240	sorghum	141	636
LNU903	sorghum|12v1|SB03G013600	sorghum	142	637
LNU904	sorghum|12v1|SB03G015670	sorghum	143	638
LNU905	sorghum|12v1|SB03G025980	sorghum	144	639
LNU906	sorghum|12v1|SB03G028220	sorghum	145	640
LNU907	sorghum|12v1|SB03G029160	sorghum	146	641
LNU908	sorghum|12v1|SB03G030720	sorghum	147	642
LNU909	sorghum|12v1|SB03G032235	sorghum	148	643
LNU910	sorghum|12v1|SB03G034870	sorghum	149	644
LNU911	sorghum|12v1|SB03G035900	sorghum	150	645
LNU912	sorghum|12v1|SB03G037390	sorghum	151	646
LNU913	sorghum|12v1|SB03G039370	sorghum	152	647
LNU914	sorghum|12v1|SB04G000560	sorghum	153	648
LNU915	sorghum|12v1|SB04G000860	sorghum	154	649
LNU916	sorghum|12v1|SB04G003110	sorghum	155	650
LNU917	sorghum|12v1|SB04G005810	sorghum	156	651
LNU918	sorghum|12v1|SB04G005960	sorghum	157	652
LNU919	sorghum|12v1|SB04G008660	sorghum	158	653
LNU920	sorghum|12v1|SB04G019220	sorghum	159	654
LNU921	sorghum|12v1|SB04G023720	sorghum	160	655
LNU922	sorghum|12v1|SB04G031020	sorghum	161	656
LNU923	sorghum|12v1|SB04G031630	sorghum	162	657
LNU924	sorghum|12v1|SB04G031790	sorghum	163	658
LNU925	sorghum|12v1|SB04G031980	sorghum	164	659
LNU926	sorghum|12v1|SB04G032240	sorghum	165	660
LNU928	sorghum|12v1|SB04G035530	sorghum	166	661
LNU929	sorghum|12v1|SB04G036780	sorghum	167	662
LNU930	sorghum|12v1|SB04G037720	sorghum	168	663
LNU931	sorghum|12v1|SB05G000570	sorghum	169	664
LNU932	sorghum|12v1|SB05G001300	sorghum	170	665
LNU933	sorghum|12v1|SB05G005230	sorghum	171	666
LNU934	sorghum|12v1|SB05G006950	sorghum	172	667
LNU935	sorghum|12v1|SB05G020340	sorghum	173	668
LNU936	sorghum|12v1|SB05G021410	sorghum	174	669
LNU938	sorghum|12v1|SB05G025900	sorghum	175	670
LNU939	sorghum|12v1|SB06G015080	sorghum	176	671
LNU940	sorghum|12v1|SB06G016140	sorghum	177	672
LNU941	sorghum|12v1|SB06G018480	sorghum	178	673
LNU942	sorghum|12v1|SB06G019950	sorghum	179	674
LNU943	sorghum|12v1|SB06G020900	sorghum	180	675
LNU944	sorghum|12v1|SB07G000250	sorghum	181	676
LNU945	sorghum|12v1|SB07G004040	sorghum	182	677
LNU946	sorghum|12v1|SB07G004390	sorghum	183	678
LNU947	sorghum|12v1|SB07G021870	sorghum	184	679
LNU948	sorghum|12v1|SB07G027790	sorghum	185	680
LNU949	sorghum|12v1|SB08G002580	sorghum	186	681
LNU950	sorghum|12v1|SB08G002740	sorghum	187	682
LNU951	sorghum|12v1|SB08G003140	sorghum	188	683
LNU952	sorghum|12v1|SB08G007610	sorghum	189	684
LNU953	sorghum|12v1|SB08G015020	sorghum	190	685
LNU954	sorghum|12v1|SB08G016400	sorghum	191	686
LNU955	sorghum|12v1|SB08G016530	sorghum	192	687
LNU956	sorghum|12v1|SB08G018765	sorghum	193	688
LNU957	sorghum|12v1|SB08G020600	sorghum	194	689
LNU958	sorghum|12v1|SB08G021920	sorghum	195	690
LNU959	sorghum|12v1|SB09G021265	sorghum	196	691
LNU960	sorghum|12v1|SB09G021520	sorghum	197	692
LNU961	sorghum|12v1|SB09G026930	sorghum	198	693
LNU962	sorghum|12v1|SB09G026990	sorghum	199	694
LNU963	sorghum|12v1|SB10G002960	sorghum	200	695
LNU964	sorghum|12v1|SB10G023640	sorghum	201	696
LNU965	sorghum|12v1|SB10G026450	sorghum	202	697
LNU966	sorghum|12v1|SB10G026910	sorghum	203	698
LNU967	sorghum|12v1|SB10G028680	sorghum	204	699
LNU968	sorghum|12v1|SB10G030200	sorghum	205	700
LNU969	sorghum|12v1|XM_002468645	sorghum	206	701
LNU970	soybean|11v1|GLYMA13G20220	soybean	207	702
LNU971	tomato|11v1|AI772930	tomato	208	703
LNU972	tomato|11v1|AI775263	tomato	209	704
LNU975	tomato|11v1|BI422101	tomato	210	705
LNU976	wheat|12v3|CA596628	wheat	211	706
LNU977	wheat|12v3|CK152213	wheat	212	707
LNU760_ H1	brachypodium|12v1|BRADI1G02117	brachypo dium	213	708
LNU832_ H2	sorghum|12v1|SB03G013780	sorghum	214	709
LNU834_ H1	sorghum|12v1|SB02G003380	sorghum	215	710
LNU861_ H3	maize|10v1|CF635645	maize	216	711
LNU859	sorghum|12v1|AW677786	sorghum	217	-
LNU860	sorghuml12v1|BE362249	sorghum	218	-
LNU863	sorghum|12v1|BG410755	sorghum	219	-
LNU750	barley|10v2|BE215751	barley	220	713
LNU760	barley|10v2|CX630466	barley	221	714
LNU771	barley|12v1|BF064919	barley	222	715
LNU772	barley|12v1|BF253521	barley	223	716
LNU783	barley|12v1|BI957813	barley	224	528
LNU785	barley|12v1|BU986731	barley	225	717
LNU786	barley|12v1|EX599010	barley	226	718
LNU787	brachypodium|12v1|BRADI1G37175	brachypo dium	227	719
LNU790	brachypodium|12v1|BRADI1G64950	brachypo dium	228	535
LNU792	brachypodium|12v1|BRADI2G51430	brachypo dium	229	537
LNU793	brachypodium|12v1|BRADI2G53980	brachypo dium	230	538
LNU795	brachypodium|12v1|BRADI4G01230	brachypo dium	231	720
LNU801	foxtail_millet|11v3|PHY7SI000598M	foxtail_mi llet	232	546
LNU802	foxtail_millet|11v3|PHY7SI000948M	foxtail_mi llet	233	547
LNU806	foxtail_millet|11v3|PHY7SI014253M	foxtail_mi llet	234	721
LNU807	foxtail_millet|11v3|PHY7SI021778M	foxtail_mi llet	235	552
LNU830	maize|10v1|BI679654	maize	236	572
LNU837	maize|10v1|CF064369	maize	237	722
LNU839	maize|10v1|C0523359	maize	238	580
LNU843	maize|10v1|EE187987	maize	239	723
LNU845	maize|10v1|W21625	maize	240	724
LNU847	medicago|12v1|AL366283	medicago	241	725
LNU848	rice|11v1|AF072694	rice	242	588
LNU851	rice|11v1|BI813446	rice	243	591
LNU856	sorghum|09v1|SB10G011070	sorghum	244	726
LNU858	sorghum|12v1|AW285114	sorghum	245	727
LNU862	sorghuml12v1|BG356040	sorghum	246	728
LNU864	sorghum|12v1|CD424245	sorghum	247	600
LNU866	sorghum|12v1|SB01G003110	sorghum	248	729
LNU870	sorghuml12v1|SB01G006930	sorghum	249	730
LNU873	sorghuml12v1|SB01G011890	sorghum	250	609
LNU876	sorghuml12v1|SB01G032593P1	sorghum	251	612
LNU886	sorghuml12v1|SB02G002020	sorghum	252	731
LNU887	sorghum|12v1|SB02G003980	sorghum	253	622
LNU889	sorghum|12v1|SB02G023760	sorghum	254	624
LNU892	sorghum|12v1|SB02G033210	sorghum	255	732
LNU896	sorghum|12v1|SB02G043060	sorghum	256	733
LNU897	sorghum|12v1|SB02G043340	sorghum	257	631
LNU902	sorghum|12v1|SB03G009240	sorghum	258	636
LNU905	sorghum|12v1|SB03G025980	sorghum	259	639
LNU906	sorghum|12v1|SB03G028220	sorghum	260	734
LNU908	sorghum|12v1|SB03G030720	sorghum	261	735
LNU910	sorghum|12v1|SB03G034870	sorghum	262	736
LNU911	sorghum|12v1|SB03G035900	sorghum	263	737
LNU914	sorghum|2vl|SB04G000560	sorghum	264	648
LNU919	sorghum|12v|SB04G008660	sorghum	265	653
LNU920	sorghum|2vl|SB04G019220	sorghum	266	654
LNU921	sorghum|12v1|SB04G023720	sorghum	267	655
LNU926	sorghum|2vlISB04G032240	sorghum	268	660
LNU929	sorghum|12v1|SB04G036780	sorghum	269	662
LNU931	sorghuml12v1|SB05G000570	sorghum	270	664
LNU932	sorghum|2vl|SB05G001300	sorghum	271	738
LNU935	sorghuml12v|SB05G020340	sorghum	272	668
LNU936	sorghum|12v1|SBOSG021410	sorghum	273	669
LNU938	sorghuml12v|SB05G025900	sorghum	274	670
LNU946	sorghuml12v|SB07G004390	sorghum	275	678
LNU951	sorghum|12v|SB08G003140	sorghum	276	739
LNU954	sorghum|12v|SB08G016400	sorghum	277	740
LNU956	sorghum|12v1|SB08G018765	sorghum	278	741
LNU960	sorghum|12v1|SB09G021520	sorghum	279	692
LNU962	sorghuml12v|SB09G026990	sorghum	280	694
LNU967	sorghum|12v|SB10G028680	sorghum	281	699
LNU969	sorghum|2vl|XM_002468645	sorghum	282	742
LNU972	tomato|11vl1|AI775263	tomato	283	743
LNU975	tomato|11v1|BI422101	tomato	284	744
LNU977	wheat|12v3|CK152213	wheat	285	745
LNU861_ H3	maize|10v1|CF635645	maize	286	746
LNU859	sorghuml12v1|AW677786	sorghum	287	-
LNU863	sorghum|12v1|BG410755	sorghum	288	-
LNU749	barley|10v2|AV834836	barley	289	747
LNU751	barley|10v2|BE413235	barley	290	498
LNU752	barley|10v2|BE421033	barley	291	748
LNU753	barley|10v2|BE422116	barley	292	500
LNU754	barley| 10v2|BE601673	barley	293	501
LNU756	barley|10v2|BF620955	barley	294	502
LNU757	barley|10v2|BF624113	barley	295	503
LNU758	barley|10v2|BF629458	barley	296	504
LNU759	barley|10v2|BM376337	barley	297	505
LNU761	barley|12v1|AJ463320	barley	298	507
LNU762	barley|12vl|AV834698	barley	299	508
LNU763	barley|12v1|AV836421	barley	300	509
LNU764	barley|12v1|AV914625	barley	301	510
LNU766	barley|12v1|AW983189	barley	302	749
LNU767	barley|12v1|BE196490	barley	303	512
LNU768	barley|12v1|BE216887	barley	304	513
LNU769	barley|12v1|BE437319	barley	305	750
LNU770	barley|12v1|BE602491	barley	306	515
LNU771	barley|12v1|BF064919	barley	307	516
LNU772	barley|12v1|BF253521	barley	308	517
LNU773	barley|12v1|BF256991	barley	309	751
LNU774	barley|12v1|BF258839	barley	310	519
LNU775	barley|12v1|BF266348	barley	311	520
LNU776	barley|12v1|BF266777	barley	312	752
LNU777	barley|12v1|BF628559	barley	313	522
LNU778	barley|12v1|BG300262	barley	314	523
LNU779	barley|12v1|BG309380	barley	315	524
LNU780	barley|12v1|BI779788	barley	316	753
LNU781	barley|12v1|BI948718	barley	317	526
LNU782	barley|12v1|BI950988	barley	318	527
LNU783	barley|12v1|BI957813	barley	319	528
LNU784	barley|12v1|BQ762763	barley	320	754
LNU785	barley|12v1|BU986731	barley	321	530
LNU786	barley|12v1|EX599010	barley	322	755
LNU787	brachypodium|12v1|BRADI1G37175	brachypo dium	323	532
LNU788	brachypodiuml12v1|BRADI1G51187	brachypo dium	324	756
LNU789	brachypodiuml12v1|BRADI1G64180	brachypo dium	325	534
LNU790	brachypodium|12v1|BRADI1G64950	brachypo dium	326	535
LNU791	brachypodium|12v1|BRADI1G69030	brachypo dium	327	536
LNU792	brachypodium|12v1|BRADI2G51430	brachypo dium	328	537
LNU793	brachypodium|12v1|BRAD I2G5 3980	brachypo dium	329	538
LNU794	brachypodiuml12v1|BRADI3G16630T2	brachypo dium	330	539
LNU795	brachypodium|12v1IBRADI4G01230	brachypo dium	331	757
LNU796	brachypodium|12v1|BRADI4G05020	brachypo dium	332	541
LNU797	brachypodium|12v1|BRADI4G07060	brachypo dium	333	542
LNU798	brachypodium|12v1|BRADI4G27334	brachypo dium	334	543
LNU799	brachypodium|12v1|BRADI4G29720	brachypo dium	335	544
LNU800	brachypodium|12v1|BRADI5G16060	brachypo dium	336	545
LNU801	foxtail_­millet|11v3|PHY7SI000598M	foxtail_mi llet	337	546
LNU802	foxtail_­millet|11v3|PHY7SI000598M	foxtail_mi llet	338	547
LNU803	foxtail_millet|1lv3IPHY7SI003585M	foxtail_mi llet	339	548
LNU804	foxtail_­millet|11v3|PHY7SI000598M	foxtail_mi llet	340	758
LNU805	foxtail_millet|11v3|PHY7SI013938M	foxtail_mi llet	341	550
LNU806	foxtail_millet|11v3|PHY7SI014253M	foxtail_mi llet	342	759
LNU807	foxtail_millet|11v3|PHY7SI021778M	foxtail_mi llet	343	552
LNU808	foxtail_millet|11v3|PHY7SI023199M	foxtail_mi llet	344	553
LNU809	foxtail_millet|11v3|PHY7SI036241M	foxtail_mi llet	345	760
LNU811	maize|10v1|AI601011	maize	346	556
LNU813	maize|10v1|AI629666	maize	347	557
LNU814	maize|10v1|637029	maize	348	558
LNU815	maize|10v1|979480	maize	349	559
LNU816	maize|10v1|AI97973 7	maize	350	761
LNU817	maize|10v1|AW231541	maize	351	762
LNU818	maize|10v1|AW267199	maize	352	763
LNU819	maize|10v1|AW282410	maize	353	563
LNU820	maize|10v1|AW288911	maize	354	564
LNU821	maize|10v1|AW497499	maize	355	764
LNU822	maize|10v1|AW927651	maize	356	566
LNU823	maize|10v1|BE512590	maize	357	567
LNU824	maize|10v1|BE552882	maize	358	765
LNU825	maize|10v1|BE575202	maize	359	766
LNU828	maize|10v1|BG458848	maize	360	570
LNU829	maize|10v1|BG54905 2	maize	361	767
LNU830	maize|10v1|BI679654	maize	362	572
LNU831	maize|10v1|BM2692 10	maize	363	768
LNU833	maize| 10v1 |BU036574	maize	364	769
LNU835	maize| 10v1 |CD986056	maize	365	577
LNU837	maize|10v1|CF064369	maize	366	770
LNU838	maize|10v1|CF634284	maize	367	579
LNU839	maize|10v1|C0523359	maize	368	580
LNU840	maize|10v1|DN208554	maize	369	581
LNU841	maize|10v1|DN225757	maize	370	582
LNU843	maize|10v1|EE187987	maize	371	583
LNU844	maize|10v1|T18396	maize	372	584
LNU845	maize|10v1|W21625	maize	373	771
LNU846	maize|gb170|AF093537	maize	374	586
LNU847	medicago|12v1|AL366283	medicago	375	772
LNU848	rice|11v1|AF072694	rice	376	588
LNU849	rice|11v1|AU057716	rice	377	589
LNU850	rice|11v1|BI306328	rice	378	590
LNU851	rice|11v1|BI813446	rice	379	591
LNU852	rice|11v1|CA764428	rice	380	592
LNU853	rice|11v1|CB645176	rice	381	593
LNU854	rice|11v1 |GFXAF377947X27	rice	382	594
LNU856	sorghum|09v1|SB10G011070	sorghum	383	595
LNU857	sorghum|11v1|SB10G007600	sorghum	384	773
LNU858	sorghum|12vl|AW285114	sorghum	385	774
LNU862	sorghum|12v1|BG356040	sorghum	386	599
LNU864	sorghum|2vl|CD424245	sorghum	387	600
LNU865	sorghum|112v1|SB0169S002030	sorghum	388	601
LNU866	sorghum|12v1|SB01G003110	sorghum	389	775
LNU867	sorghum|12v|SB01G004510	sorghum	390	603
LNU868	sorghum|2vl|SB01G005240	sorghum	391	604
LNU869	sorghum|12v|SB01G006870	sorghum	392	605
LNU870	sorghum|12v1|SB01G006930	sorghum	393	606
LNU871	sorghum|12v|SB01G007380	sorghum	394	607
LNU872	sorghum|12v1|SB01G011260	sorghum	395	608
LNU873	sorghum|12v1|SB0IG011890	sorghum	396	609
LNU874	sorghum|12v|SB01G015540	sorghum	397	610
LNU875	sorghum|12v1|SB01G017100	sorghum	398	611
LNU876	sorghum|12v|SB01G032593P1	sorghum	399	612
LNU878	sorghum|12v|SB01G035780	sorghum	400	613
LNU879	sorghum|2vl|SB01G040060	sorghum	401	614
LNU880	sorghum|12v1|SB01G046630	sorghum	402	615
LNU881	sorghum|12v|SB01G047345	sorghum	403	616
LNU882	sorghum|12v1|SB01G048200	sorghum	404	617
LNU884	sorghum|12v|SB01G048910	sorghum	405	619
LNU885	sorghum|12v|SB02G001450	sorghum	406	620
LNU886	sorghum|2vlISB02G002020	sorghum	407	776
LNU887	sorghum|12v1|SB02G003980	sorghum	408	622
LNU888	sorghum|12vISB02G009320	sorghum	409	623
LNU889	sorghum|12v1|SB02G023760	sorghum	410	624
LNU890	sorghum|12v1|SB02G027260	sorghum	411	625
LNU892	sorghum|12v1|SB02G033210	sorghum	412	626
LNU893	sorghum|12v1|SB02G036470	sorghum	413	627
LNU894	sorghum|12v1|SB02G039430	sorghum	414	628
LNU895	sorghum|2vl|B02G042020	sorghum	415	629
LNU896	sorghum|12v1|SB02G043060	sorghum	416	630
LNU897	sorghum|12v1|SB02G043340	sorghum	417	777
LNU898	sorghum|12v|SB03G001900	sorghum	418	778
LNU899	sorghum|12v1|SB03G003880	sorghum	419	633
LNU900	sorghum|2vl|SB03G004920	sorghum	420	779
LNU901	sorghum|12v1|SB03G006670	sorghum	421	780
LNU902	sorghum|2vl|SB03G009240	sorghum	422	636
LNU903	sorghum|12v1|SB03G013600	sorghum	423	637
LNU904	sorghum|12v1|SB03G015670	sorghum	424	781
LNU905	sorghum|12v1|SB03G025980	sorghum	425	639
LNU906	sorghuml12v|SB03G028220	sorghum	426	782
LNU907	sorghum|12v|SB03G029160	sorghum	427	783
LNU908	sorghum|12v|SB03G030720	sorghum	428	642
LNU909	sorghum|12v1|SB03G032235	sorghum	429	784
LNU910	sorghum|12v1|SB03G034870	sorghum	430	644
LNU911	sorghum|12v1|SB03G035900	sorghum	431	785
LNU912	sorghum|12v1|SB03G037390	sorghum	432	646
LNU913	sorghum|12v1|SB03G039370	sorghum	433	647
LNU914	sorghum|2vl|SB04G000560	sorghum	434	648
LNU915	sorghum|12v1|SB04G000860	sorghum	435	649
LNU916	sorghum|12v1|SB04G003110	sorghum	436	650
LNU917	sorghum|12v1|SB04G005810	sorghum	437	651
LNU918	sorghum|12v1|SB04G005960	sorghum	438	652
LNU919	sorghum|12v1|SB04G008660	sorghum	439	653
LNU920	sorghum|12v1|SB04G019220	sorghum	440	654
LNU921	sorghum|12v1|SB04G023720	sorghum	441	655
LNU922	sorghum|12v1|SB04G031020	sorghum	442	656
LNU923	sorghum|12v1|SB04G031630	sorghum	443	657
LNU924	sorghum|12v1|SB04G031790	sorghum	444	658
LNU925	sorghum|12v1|SB04G031980	sorghum	445	659
LNU926	sorghum|12v1|SB04G032240	sorghum	446	660
LNU928	sorghum|12v1|SB04G035530	sorghum	447	661
LNU930	sorghum|12v1|SB04G037720	sorghum	448	786
LNU931	sorghuml12v1lSB05G000570	sorghum	449	664
LNU932	sorghum|2vl|SB05G001300	sorghum	450	787
LNU933	sorghum|12v1|SB05G005230	sorghum	451	666
LNU934	sorghuml12v|SB05G006950	sorghum	452	667
LNU935	sorghum|12v|SB05G020340	sorghum	453	788
LNU936	sorghum|12v1|SBOSG021410	sorghum	454	669
LNU938	sorghum|12v|SB05G025900	sorghum	455	789
LNU940	sorghum|12v1|SB06G016140	sorghum	456	672
LNU941	sorghuml12v|SB06G018480	sorghum	457	673
LNU942	sorghum|12v|SB06G019950	sorghum	458	674
LNU943	sorghum|2vl|SB06G020900	sorghum	459	675
LNU944	sorghum|12v|SB07G000250	sorghum	460	676
LNU945	sorghum|2vl|SB07G004040	sorghum	461	677
LNU946	sorghum|12v|SB07G004390	sorghum	462	678
LNU947	sorghum|12v|SB07G021870	sorghum	463	679
LNU948	sorghum|2vl|SB07G027790	sorghum	464	680
LNU949	sorghum|2vl|SB08G002580	sorghum	465	681
LNU950	sorghum|12v1|SB08G002740	sorghum	466	682
LNU951	sorghum|12vl |SB08G003140	sorghum	467	790
LNU952	sorghum|12v|SB08G007610	sorghum	468	684
LNU953	sorghum|2vl|SB08G015020	sorghum	469	685
LNU954	sorghum|12v|SB08G016400	sorghum	470	791
LNU955	sorghum|12v1|SB08G016530	sorghum	471	687
LNU956	sorghum|12v1|SB08G018765	sorghum	472	792
LNU957	sorghum|12v|SB08G020600	sorghum	473	689
LNU958	sorghum|12vl |SB08G021920	sorghum	474	690
LNU959	sorghum|12vl |SB09G021265	sorghum	475	691
LNU960	sorghum|12v|SB09G021520	sorghum	476	692
LNU961	sorghum|12v|SB09G026930	sorghum	477	693
LNU962	sorghum|12v|SB09G026990	sorghum	478	694
LNU963	sorghum|2vl|SB10G002960	sorghum	479	695
LNU964	sorghum|12v|SB10G023640	sorghum	480	696
LNU965	sorghum|12v|SB10G026450	sorghum	481	697
LNU966	sorghum|12v|SB10G026910	sorghum	482	698
LNU967	sorghum|12v|SB10G028680	sorghum	483	699
LNU968	sorghum|2vl|SB 10G030200	sorghum	484	793
LNU970	soybean|11v1|GLYMA13G20220	soybean	485	702
LNU971	tomato|11v1|AI772930	tomato	486	703
LNU972	tomato|11v1|AI775263	tomato	487	704
LNU975	tomato|11v1|BI422101	tomato	488	705
LNU976	wheat|12v3|CA596628	wheat	489	706
LNU977	wheat|12v3|CK152213	wheat	490	794
LNU760_ H1	brachypodium|12v1|BRADI1G02117	brachypo dium	491	708
LNU832_ H2	sorghum|12v1|SB03G013780	sorghum	492	709
LNU834_ H1	sorghum|12v1|SB02G003380	sorghum	493	710
LNU861_ H3	maize|10v1|CF635645	maize	494	711
LNU859	sorghum|12v1|AW677786	sorghum	495	-
Table 1. Provided are the gene names, cluster names, organisms fmor which they are derived, and the sequence identifiers of the polynucleotides and polypeptide sequences. “Polyp.” = polypeptide; “Polyn.” - Polynucleotide.

Example 2

Identification of Homologous (e.g., Orthologous) Sequences That Increase Nitrogen use Efficiency, Fertilizer use Efficiency, Yield, Growth Rate, Vigor, Biomass, Oil Content, Abiotic Stress Tolerance and/or Water use Efficiency in Plants

The concepts of orthology and paralogy have recently been applied to functional characterizations and classifications on the scale of whole-genome comparisons. Orthologs and paralogs constitute two major types of homologs: The first evolved from a common ancestor by specialization, and the latter is related by duplication events. It is assumed that paralogs arising from ancient duplication events are likely to have diverged in function while true orthologs are more likely to retain identical function over evolutionary time.

To further investigate and identify putative orthologs of the genes affecting nitrogen use efficiency, fertilizer use efficiency, yield (e.g., seed yield, oil yield, biomass, grain quantity and/or quality), growth rate, vigor, biomass, oil content, abiotic stress tolerance and/or water use efficiency, all sequences were aligned using the BLAST (/Basic Local Alignment Search Tool/). Sequences sufficiently similar were tentatively grouped. These putative orthologs were further organized under a Phylogram - a branching diagram (tree) assumed to be a representation of the evolutionary relationships among the biological taxa. Putative ortholog groups were analyzed as to their agreement with the phylogram and in cases of disagreements these ortholog groups were broken accordingly. Expression data was analyzed and the EST libraries were classified using a fixed vocabulary of custom terms such as developmental stages (e.g., genes showing similar expression profile through development with up regulation at specific stage, such as at the seed filling stage) and/or plant organ (e.g., genes showing similar expression profile across their organs with up regulation at specific organs such as seed). The annotations from all the ESTs clustered to a gene were analyzed statistically by comparing their frequency in the cluster versus their abundance in the database, allowing the construction of a numeric and graphic expression profile of that gene, which is termed “digital expression”. The rationale of using these two complementary methods with methods of phenotypic association studies of QTLs, SNPs and phenotype expression correlation is based on the assumption that true orthologs are likely to retain identical function over evolutionary time. These methods provide different sets of indications on function similarities between two homologous genes, similarities in the sequence level - identical amino acids in the protein domains and similarity in expression profiles.

The search and identification of homologous genes involves the screening of sequence information available, for example, in public databases, which include but are not limited to the DNA Database of Japan (DDBJ), Genbank, and the European Molecular Biology Laboratory Nucleic Acid Sequence Database (EMBL) or versions thereof or the MIPS database. A number of different search algorithms have been developed, including but not limited to the suite of programs referred to as BLAST programs. There are five implementations of BLAST, three designed for nucleotide sequence queries (BLASTN, BLASTX, and TBLASTX) and two designed for protein sequence queries (BLASTP and TBLASTN) (Coulson, Trends in Biotechnology: 76-80, 1994; Birren et al., Genome Analysis, I: 543, 1997). Such methods involve alignment and comparison of sequences. The BLAST algorithm calculates percent sequence identity and performs a statistical analysis of the similarity between the two sequences. The software for performing BLAST analysis is publicly available through the National Centre for Biotechnology Information. Other such software or algorithms are GAP, BESTFIT, FASTA and TFASTA. GAP uses the algorithm of Needleman and Wunsch (J. Mol. Biol. 48: 443-453, 1970) to find the alignment of two complete sequences that maximizes the number of matches and minimizes the number of gaps.

The homologous genes may belong to the same gene family. The analysis of a gene family may be carried out using sequence similarity analysis. To perform this analysis one may use standard programs for multiple alignments e.g. Clustal W. A neighbor-joining tree of the proteins homologous to the genes of some embodiments of the invention may be used to provide an overview of structural and ancestral relationships. Sequence identity may be calculated using an alignment program as described above. It is expected that other plants will carry a similar functional gene (orthologue) or a family of similar genes and those genes will provide the same preferred phenotype as the genes presented here. Advantageously, these family members may be useful in the methods of some embodiments of the invention. Example of other plants include, but not limited to, barley (Hordeum vulgare), Arabidopsis (Arabidopsis thaliana), maize (Zea mays), cotton (Gossypium), Oilseed rape (Brassica napus), Rice (Oryza sativa), Sugar cane (Saccharum officinarum), Sorghum (Sorghum bicolor), Soybean (Glycine max), Sunflower (Helianthus annuus), Tomato (Lycopersicon esculentum) and Wheat (Triticum aestivum).

The above-mentioned analyses for sequence homology is preferably carried out on a full-length sequence, but may also be based on a comparison of certain regions such as conserved domains. The identification of such domains would also be well within the realm of the person skilled in the art and would involve, for example, a computer readable format of the nucleic acids of some embodiments of the invention, the use of alignment software programs and the use of publicly available information on protein domains, conserved motifs and boxes. This information is available in the PRODOM (biochem (dot) ucl (dot) ac (dot) uk/bsm/dbbrowser/protocol/prodomqry (dot) html), PIR (pir (dot) Georgetown (dot) edu/) or Pfam (sanger (dot) ac (dot) uk/Software/Pfam/) database. Sequence analysis programs designed for motif searching may be used for identification of fragments, regions and conserved domains as mentioned above. Preferred computer programs include, but are not limited to, MEME, SIGNALSCAN, and GENESCAN.

A person skilled in the art may use the homologous sequences provided herein to find similar sequences in other species and other organisms. Homologues of a protein encompass, peptides, oligopeptides, polypeptides, proteins and enzymes having amino acid substitutions, deletions and/or insertions relative to the unmodified protein in question and having similar biological and functional activity as the unmodified protein from which they are derived. To produce such homologues, amino acids of the protein may be replaced by other amino acids having similar properties (conservative changes, such as similar hydrophobicity, hydrophilicity, antigenicity, propensity to form or break a-helical structures or 3-sheet structures). Conservative substitution Tables are well known in the art [see for example Creighton (1984) Proteins. W.H. Freeman and Company]. Homologues of a nucleic acid encompass nucleic acids having nucleotide substitutions, deletions and/or insertions relative to the unmodified nucleic acid in question and having similar biological and functional activity as the unmodified nucleic acid from which they are derived.

Polynucleotides and polypeptides with significant homology to the identified genes described in Table 1 (Example 1 above) were identified from the databases using BLAST software with the Blastp and tBlastn algorithms as filters for the first stage, and the needle (EMBOSS package) or Frame+ algorithm alignment for the second stage. Local identity (Blast alignments) was defined with a very permissive cutoff - 60% Identity on a span of 60% of the sequences lengths because it is used only as a filter for the global alignment stage. The default filtering of the Blast package was not utilized (by setting the parameter “-F F”).

In the second stage, homologs were defined based on a global identity of at least 80% to the core gene polypeptide sequence. Two distinct forms for finding the optimal global alignment for protein or nucleotide sequences were used in this application:

• 1. Between two proteins (following the blastp filter): EMBOSS-6.0.1 Needleman-Wunsch algorithm with the following modified parameters: gapopen=8 gapextend=2. The rest of the parameters were unchanged from the default options described hereinabove.
• 2. Between a protein sequence and a nucleotide sequence (following the tblastn filter):

GenCore 6.0 OneModel application utilizing the Frame+ algorithm with the following parameters: model=frame+_p2n.model mode=qglobal -q=protein.sequence -db= nucleotide.sequence. The rest of the parameters are unchanged from the default options described hereinabove.

The query polypeptide sequences were SEQ ID NOs: 496-794 and the query polynucleotides were SEQ ID NOs: 1-495, and the identified orthologous and homologous sequences having at least 80% global sequence identity are provided in Table 2, below. These homologous genes are expected to increase plant yield, seed yield, oil yield, oil content, growth rate, fiber yield, fiber quality, fiber length, photosynthetic capacity, biomass, vigor, ABST and/or NUE of a plant.

Homologues (e.g., orthologues) of the identified genes/polypeptides for increasing nitrogen use efficiency, fertilizer use efficiency, yield, seed yield, growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, abiotic stress tolerance and/or water use efficiency of a plant
Hom. Name	Organism / Cluster tag	Polyn. SEQ ID NO:	Polyp. SEQ ID NO:	Hom. To SEQ ID NO:	Global Ident.	Algor.
LNU751_H1	wheat|12v3|CA652300	795	2898	498	89.1	globlastp
LNU751_H2	rye|12v1|DRR001012339395	796	2899	498	88.45	glotblastn
LNU752_H3	rye|12v1|DRR001012155230	797	2900	499	96.4	globlastp
LNU752_H4	oat|11v11GR316906_P1	798	2901	499	90.7	globlastp
LNU752_H5	brachypodium|12v1IBRADI2G38247_P1	799	2902	499	88.4	globlastp
LNU752_H6	rye|12v1|DRR001012.244869	800	2903	499	84.8	globlastp
LNU753_H1	pseudoroegnerialgb167|FF341151	801	2904	500	96.4	globlastp
LNU753_H2	wheat|12v3|CA619061	802	2905	500	95.5	globlastp
LNU753_H3	rye|12v1|DRR001013.175630	803	2906	500	93.7	globlastp
LNU753_H4	brachypodium|12v1|BRADI1G76060_T1	804	2907	500	90.6	glotblastn
LNU753_H5	rice|11v1|GFXAC099399X6	805	2908	500	87	globlastp
LNU753_H6	barley|12v1|BE060847_P1	806	2909	500	80.3	globlastp
LNU753_H7	wheat|12v3|BF474874	807	2910	500	80.3	globlastp
LNU753_H8	rice|11V1|BM037785	808	2911	500	80	globlastp
LNU754_H1	wheat|12v3|BE413658	809	2912	501	95.8	globlastp
LNU754_H2	leymus|gb166|EG390263_P1	810	2913	501	95	globlastp
LNU754_H3	pseudoroegneria|gb167|FF349286	811	2914	501	95	globlastp
LNU754_H4	rye|12v1|DRR001012.101669	812	2915	501	95	globlastp
LNU754_H5	brachypodium|12v1IBRADI2G06900_P1	813	2916	501	91.2	globlastp
LNU754_H6	oat|11v1|GR365468_P1	814	2917	501	88.7	globlastp
LNU754_H7	sorghum|2vlISB03G001930	815	2918	501	85.4	globlastp
LNU754_H8	millet|10v1|EV0454PM027276_P1	816	2919	501	84.1	globlastp
LNU754_H9	maize|10vl|AI600590_P1	817	2920	501	83.9	globlastp
LNU754_H1 3	switchgrass|12v1|FE624722_P1	818	2921	501	83.7	globlastp
LNU754_H1 0	foxtail_millet|11v3|PHY7SI002752M_P1	819	2922	501	83.3	globlastp
LNU754_H1 1	rice|11v1|BE228738	820	2923	501	82	globlastp
LNU754_H1 2	switchgrasslgb167|FE624722	821	2924	501	82	globlastp
LNU756_H1	rye|12v1|DRR001012.433563	822	2925	502	94.9	globlastp
LNU756_H2	rye|12v1|BE493902	823	2926	502	94.6	globlastp
LNU756_H3	rye|12v1|DRR001012.24867	824	2926	502	94.6	globlastp
LNU756_H4	wheat|12v3|BG606914	825	2927	502	94.6	globlastp
LNU756_H5	brachypodium|12v1IBRADI2G24030_P1	826	2928	502	93.5	globlastp
LNU756_H6	oat|11v1|GR329669_Pl	827	2929	502	92.4	globlastp
LNU756_H7	rice|11v1|BF475232	828	2930	502	82.61	glotblastn
LNU756_H8	foxtail_millet|11v3|EC612148_P1	829	2931	502	81.5	globlastp
LNU756_H9	sugarcane|1Ov1|BU103174	830	2932	502	80.4	globlastp
LNU756_H10	sorghum|12v1|SB09G021710	831	2933	502	80.1	globlastp
LNU756_H12	switchgrass|112v1|DN150091_P1	832	2934	502	80	globlastp
LNU756_H11	switchgrass|gb167|DN150091	833	2934	502	80	globlastp
LNU757_H1	wheat|12v3|CA645023	834	2935	503	98.2	globlastp
LNU757_H2	rye|12v1|DRR001012.10473	835	2936	503	97	globlastp
LNU757_H3	rye|12v1|DRR001012.121839	836	2937	503	97	globlastp
LNU757_H4	rye1|2v1|DRR001012.768638	837	2938	503	95.9	globlastp
LNU757_H5	wheat|12v3|BE426208	838	2939	503	93.5	globlastp
LNU757_H6	oat|11v1|GR328666_P1	839	2940	503	91.8	globlastp
LNU758_H1	wheat|12v3|BG906982	840	2941	504	91.6	globlastp
LNU758_H2	pseudoroegneria|gb167|FF345629	841	2942	504	87.1	globlastp
LNU759_H1	rye|12v1|DRR001012.140285	842	2943	505	94	globlastp
LNU759_H2	wheat|12v3|CA742547	843	2944	505	93	globlastp
LNU759_H3	wheat|12v3|SRR043326X66986D1	844	2944	505	93	globlastp
LNU759_H4	foxtail_millet|1lv3|PHY7SI023760M_Pl	845	2945	505	90	globlastp
LNU759_H5	rice|11v1|CF293997	846	2946	505	87.4	globlastp
LNU759_H11	switchgrass|12v1|FL787656_P1	847	2947	505	87	globlastp
LNU759_H6	switchgrass|gb167|FL787656	848	2947	505	87	globlastp
LNU759_H7	cynodon|10v1|ES299636_Pl	849	2948	505	86.1	globlastp
LNU759_H12	switchgrass|12v1|FL779827_P1	850	2949	505	86	globlastp
LNU759_H8	sorghuml12vISB09G022720	851	2950	505	83.5	globlastp
LNU759_H9	brachypodium|12v1IBRADI2G23060_P1	852	2951	505	82.2	globlastp
LNU759_H1 0	maize|10vl|EE680335_Pl	853	2952	505	82	globlastp
LNU760_H2	pseudoroegnerialgb167|FF358412	854	2953	506	86.75	glotblastn
LNU760_H3	rye|12v1|DRR001014.135934	855	2954	506	81.13	glotblastn
LNU760_H4	switchgrass|12v1|FL773680_T1	856	2955	506	80.13	glotblastn
LNU761_H1	wheat|12v3|BQ170294	857	2956	507	96.1	globlastp
LNU761_H2	wheat|12v3|BG263661	858	2957	507	95.3	globlastp
LNU761_H3	rye|12v1|BF429268	859	2958	507	95.1	globlastp
LNU761_H4	brachypodium|12v1IBRADI2G61140_P1	860	2959	507	84.7	globlastp
LNU761_H5	foxtail_millet|11v3|PHY7SI001000M_P1	861	2960	507	84.5	globlastp
LNU761_H9	switchgrass|12v1|FE627078_P1	862	2961	507	83.8	globlastp
LNU761_H6	switchgrass|gb167|FE605627	863	2962	507	82.8	globlastp
LNU761_H7	rice|11v1|CR278964	864	2963	507	82.6	globlastp
LNU761_H8	sorghum|2vlISB03G046200	865	2964	507	81.2	globlastp
LNU762_H1	rye|12v1|DRR001012.142840	866	2965	508	93.9	globlastp
LNU762_H2	rye|12v1|DRR001012.108084	867	2966	508	93.6	globlastp
LNU762_H3	wheat|12v3|CA653618	868	2967	508	92.5	globlastp
LNU762_H4	brachypodium|12v1IBRADI5G07300_Pl	869	2968	508	87.1	globlastp
LNU762_H5	foxtail_millet|11v3|EC613160_P1	870	2969	508	81	globlastp
LNU763_H1	wheat|12v3|BE517537	871	2970	509	93.3	globlastp
LNU763_H2	pseudoroegneria|gb167|FF345 576	872	2971	509	91.3	globlastp
LNU763_H3	rye|12v1|DRR001012.538230	873	2972	509	89.7	globlastp
LNU763_H4	rye|12v1|DRR001012.104458	874	2973	509	89.1	globlastp
LNU763_H5	rye|12v1|DRR001012.104992	875	2974	509	89.1	globlastp
LNU763_H6	rye|12v1|DRR001012.307746	876	2975	509	89.1	glotblastn
LNU763_H7	rye|12v1|DRR001012.403113	877	2976	509	86.58	glotblastn
LNU764_H1	wheat|12v3|BE419722	878	2977	510	96	globlastp
LNU764_H2	rye|12v1|DRR001012.148705	879	2978	510	95.6	globlastp
LNU764_H3	wheat|12v3|AL817877	880	2979	510	94.8	globlastp
LNU764_H4	rye|12v1|CB680462	881	2980	510	83.8	globlastp
LNU764_H5	brachypodium|12v1IBRADI3G14080_P1	882	2981	510	83.6	globlastp
LNU764_H6	sorghum|12vlISB07G002140	883	2982	510	82.4	globlastp
LNU764_H7	foxtail_millet|11v3|EC613412_P1	884	2983	510	81.3	globlastp
LNU764_H9	switchgrass|112v1|FE638335_P1	885	2984	510	80.9	globlastp
LNU764_H8	switchgrass|gb167|FE649051	886	2985	510	80.57	glotblastn
LNU764_H10	switchgrass|12v1|FL754424_P1	887	2986	510	80.3	globlastp
LNU766_H1	wheat|12v3|BF483178	888	2987	511	96.6	globlastp
LNU766_H2	rye|12v1|DRR001012.107386	889	2988	511	96.14	glotblastn
LNU766_H3	brachypodiuml12v1IBRADI2G62060_T1	890	2989	511	90.68	glotblastn
LNU766_H5	ricel11v1lBM419326	891	2990	511	85.8	globlastp
LNU766_H6	foxtail_milletl11v3lGT090868_P1	892	2991	511	85.5	globlastp
LNU766_H11	switchgrassl12v1lDT948944_P1	893	2992	511	85.4	globlastp
LNU766_H12	switchgrassl12v1lFE657698_P1	894	2993	511	85.3	globlastp
LNU766_H7	milletl10v1lEV0454PM004168_P1	895	2994	511	84.9	globlastp
LNU766_H8	ryel12v1lDRR001012.124126	896	2995	511	84.7	globlastp
LNU766_H9	maizel10v1lBM259345_P1	897	2996	511	84.5	globlastp
LNU766_H10	sorghuml12v1lSB10G025840	898	2997	511	84.4	globlastp
LNU767_H1	ryel12v1lDRR001012.555545	899	2998	512	92.3	globlastp
LNU767_H2	wheatl12v3lBE419870	900	2999	512	91.2	globlastp
LNU767_H3	loliuml10v1lAU246334_P1	901	3000	512	84.6	globlastp
LNU768_H1	wheatl12v3lBI479814	902	3001	513	99.1	globlastp
LNU768_H2	ryel12v1IDRR001013.174965	903	3002	513	98.2	globlastp
LNU768_H3	ryel12v1IDRR001012.20806	904	3003	513	97.8	globlastp
LNU768_H4	ryel12v1lDRR001012.266041	905	3004	513	97.35	glotblastn
LNU768_H5	brachypodiuml12v1lBRADI2G56682_P1	906	3005	513	93.4	globlastp
LNU768_H6	ricel11v1lCF294088	907	3006	513	93.4	globlastp
LNU768_H15	switchgrassl12v1lFL692202_P1	908	3007	513	92.5	globlastp
LNU768_H7	sorghuml12v1lSB01G021690	909	3008	513	92.5	globlastp
LNU768_H8	switchgrasslgb167lFL692202	910	3007	513	92.5	globlastp
LNU768_H9	maizel10v1lAI941829_P1	911	3009	513	92	globlastp
LNU768_H16	switchgrassl12v1lGD014223_P1	912	3010	513	91.2	globlastp
LNU768_H10	foxtail milletl11v3lPHY7SI034560M_T1	913	3011	513	90.35	glotblastn
LNU768_H11	sugarcanel10v1lBQ536826	914	3012	513	90.3	globlastp
LNU768_H12	oatl11v1lG0596074_P1	915	3013	513	84.5	globlastp
LNU768_H13	amborellal12v3lSRR038634.15775_P1	916	3014	513	80.1	globlastp
LNU768_H1 4	pineapplel10v1lDT336500_P1	917	3015	513	80.1	globlastp
LNU769_H8	brachypodiuml12v1IBRADI4G21820_P1	918	3016	514	82.4	globlastp
LNU769_H1 3	brachypodiuml12v1IBRADI2G16170_P1	919	3017	514	80.8	globlastp
LNU769_H1 4	sorghuml12v1lSB05G007470	920	3018	514	80.8	globlastp
LNU770_H1	wheatl12v3lBE398561	921	3019	515	96	globlastp
LNU770_H2	ryel12v1lDRR001012.712789	922	3020	515	94.8	globlastp
LNU770_H3	brachypodiuml12v1lBRADI1G56870­_P1	923	3021	515	82	globlastp
LNU772_H1	wheatl12v3lBM135473	924	3022	517	96	globlastp
LNU772_H2	ryel12v1lDRR001012.142915	925	3023	517	93.5	globlastp
LNU772_H3	ryel12v1lDRR001012.612512	926	3024	517	93	globlastp
LNU772_H4	brachypodiuml12v1IBRADI3G08480_P1	927	3025	517	90.5	globlastp
LNU772_H5	oatl11v1lGO592678_P1	928	3026	517	88.9	globlastp
LNU772_H8	milletl10v1lEV0454PM022643_P1	929	3027	517	86.6	globlastp
LNU772_H6	ricel11v1lCB000951	930	3028	517	86.3	globlastp
LNU772_H9	foxtail_milletl11v3lPHY7SI01870M_P1	931	3029	517	86	globlastp
LNU772_H1 5	switchgrassl12v1lDN144396_P1	932	3030	517	84.3	globlastp
LNU772_H13	sorghuml12v1lSB04G008000	933	3031	517	83.9	globlastp
LNU772_H10	switchgrasslgb167lDN144396	934	3032	517	83.8	globlastp
LNU772_H11	maizel10v1lAA979978_P1	935	3033	517	83.7	globlastp
LNU772_H14	cynodonl10v1lES292031­_P1	936	3034	517	82.1	globlastp
LNU773_H1	ryel12v1lDRR001012.115164	937	3035	518	94.6	globlastp
LNU773_H2	brachypodiuml12v1lBRADI1G02440­_P1	938	3036	518	84.1	globlastp
LNU773_H3	foxtail milletl1lv3lPHY7SI034229M_P1	939	3037	518	82.1	globlastp
LNU773_H4	foxtail_milletl11v3lSICRP053164_P1	940	3037	518	82.1	globlastp
LNU773_H5	ricel11v1lCB634493	941	3038	518	81.5	globlastp
LNU774_H1	brachypodiuml12v1IBRADI4G38810P1	942	3039	519	82.9	globlastp
LNU775_H1	ryel12v1lDRR001012.110859	943	3040	520	93.5	globlastp
LNU775_H2	wheatl12v3lCD937862	944	3041	520	82.8	globlastp
LNU775_H3	brachypodiuml12v1IBRADI2G04447_P1	945	3042	520	82.6	globlastp
LNU777_H1	ryel12v1lDRR001012.142992	946	3043	522	92.4	globlastp
LNU777_H2	ryel12v1lDRR001012.313229	947	3044	522	91.8	globlastp
LNU777_H3	wheatl12v3lBE499027	948	3045	522	81.89	glotblastn
LNU778_H1	wheatl12v3lBE402486	949	3046	523	96.9	globlastp
LNU778_H2	wheatl12v3lSRR073321X42757D1	950	3047	523	96.9	globlastp
LNU778_H3	wheatl12v3lCD871315	951	3048	523	91.7	globlastp
LNU778_H4	brachypodiuml12v1IBRADI2G46340_P1	952	3049	523	91.6	globlastp
LNU778_H5	ricel11v1lBI811994	953	3050	523	87.2	globlastp
LNU778_H6	foxtail_milletl11v3lPHY7SI000364M_P1	954	3051	523	85.2	globlastp
LNU778_H7	sorghuml12v1lSB03G030890	955	3052	523	85.1	globlastp
LNU778_H8	maizel10v1lCA399726_P1	956	3053	523	84.5	globlastp
LNU778_H9	maizel10v1lAI615203_T1	957	3054	523	83.35	glotblastn
LNU779_H1	pseudoroegnerialgb167lFF346373	958	3055	524	98.1	globlastp
LNU779_H2	ryel12v1lBE587009	959	3056	524	97.8	globlastp
LNU779_H3	wheatl12v3lBE402818	960	3057	524	97.5	globlastp
LNU779_H4	wheatl12v3lBE586120	961	3058	524	97.5	globlastp
LNU779_H5	wheatl12v3lCV778626	962	3059	524	96.91	glotblastn
LNU779_H6	oatl11v1lCN815634_T1	963	3060	524	94.44	glotblastn
LNU779_H7	brachypodiuml12v1IBRADI3G42790_P1	964	3061	524	91.7	globlastp
LNU779_H8	ricel11v1lBI794901	965	3062	524	88.6	globlastp
LNU779_H9	foxtail_milletl11v3lPHY7SI014086M_P1	966	3063	524	87.7	globlastp
LNU779_H10	switchgrasslgb167lDN144658	967	3064	524	87.7	globlastp
LNU779_H11	switchgrasslgb167lFE631532	968	3065	524	87.7	globlastp
LNU779_H12	milletl10v1lEV0454PM012215_P1	969	3066	524	87.4	globlastp
LNU779_H13	maizel10v1lAI649552_P1	970	3067	524	86.8	globlastp
LNU779_H14	sorghuml12v1ISB07G024220	971	3068	524	86.8	globlastp
LNU779_H15	sugarcanel10v1lCA065962	972	3069	524	86.8	globlastp
LNU779_H16	maize10v1lBG354183_P1	973	3070	524	83.7	globlastp
LNU779_H17	switchgrassl12v1lFE639284_P1	974	3071	524	81.8	globlastp
LNU781_H1	ryel12v1lDRR001012.110372	975	3072	526	98.9	globlastp
LNU781_H2	ryel12v1lDRR001012.15876	976	3073	526	97.11	glotblastn
LNU781_H3	wheatl12v3lCA666142	977	3074	526	96.1	globlastp
LNU781_H4	brachypodiuml12v1lBRADI1G07870_P1	978	3075	526	91.3	globlastp
LNU781_H5	foxtailmilletl11v3lEC612060_P1	979	3076	526	84.2	globlastp
LNU781_H6	ricel11v1lBI118738	980	3077	526	84	globlastp
LNU781_H7	sorghuml12v1lSB01G007340	981	3078	526	83.7	globlastp
LNU781_H8	milletl10v1lEVO454PM114571_P1	982	3079	526	82.4	globlastp
LNU781_H12	switchgrassl12v1lFL756770_P1	983	3080	526	82.2	globlastp
LNU781_H9	maizel10v1lCA403670_P1	984	3081	526	82.2	globlastp
LNU781_H10	wheatl12v3lCA593786	985	3082	526	81.84	glotblastn
LNU781_H13	switchgrassl12v1lFE611031_P1	986	3083	526	80.8	globlastp
LNU781_H11	maizel10v1lBM498386_P1	987	3084	526	80.3	globlastp
LNU782_H1	wheatl12v3lBQ788965	988	3085	527	97.9	globlastp
LNU782_H2	ryel12v1lDRR001012.594129	989	3086	527	96.2	globlastp
LNU783_H1	ryel12v1lDRR001012.216554	990	3087	528	92.8	globlastp
LNU783_H2	brachypodiuml12v1IBRADI2G04360_P1	991	3088	528	81.8	globlastp
LNU783_H3	ricel11v1lBE040181	992	3089	528	80	globlastp
LNU787_H12	ryel12v1lDRR001012.395832	993	3090	532	91.4	globlastp
LNU787_H13	ryel12v1lDRR001012.20638	994	3091	532	90.8	globlastp
LNU787_H1	pseudoroegnerialgb167lFF355972	995	3092	532	90.5	globlastp
LNU787_H2	wheatl12v3lBG909595	996	3093	532	89.9	globlastp
LNU787_H4	wheatl12v3lAL821420	997	-	532	89.63	glotblastn
LNU787_H9	ricel11v1lAU092213	998	3094	532	87.7	globlastp
LNU787_H6	switchgrasslgb167lGD0 10772	999	3095	532	86.5	globlastp
LNU787_H8	foxtail_milletl11v3|PHY7SI006894M_P1	1000	3096	532	86.5	globlastp
LNU787_H14	switchgrassl12v1lGD010772_P1	1001	3097	532	86.2	globlastp
LNU787_H7	cenchruslgb166lEB661125_P1	1002	3098	532	86.2	globlastp
LNU787_H10	milletl10v1lEVO454PM055809_T1	1003	-	532	84.97	glotblastn
LNU787_H3	leymuslgb166lEG384638_P1	1004	3099	532	84.7	globlastp
LNU787_H11	maizel10v1|AI670300_P1	1005	3100	532	83.7	globlastp
LNU788_H1	ryel12v1lDRR001012.407094	1006	3101	533	91.4	globlastp
LNU788_H2	ryel12v1lDRR001012.189907	1007	3102	533	91.1	globlastp
LNU788_H3	wheatl12v3lBE606973	1008	3103	533	90.7	globlastp
LNU788_H5	sorghuml12v1lSB10G003000	1009	3104	533	83.3	globlastp
LNU789_H1	wheatl12v3lBJ312717	1010	3105	534	93.65	glotblastn
LNU789_H2	wheatl12v3lCD898702	1011	3106	534	91.8	globlastp
LNU789_H3	ryel12v1lDRR001012.152256	1012	3107	534	91.7	globlastp
LNU789_H4	wheatl12v3lAL821622	1013	3108	534	91.1	globlastp
LNU789_H5	barleyl12v1lBG344287_P1	1014	3109	534	90.2	globlastp
LNU789_H6	foxtailmilletl1lv3lPHY7SI034969M_P1	1015	3110	534	89.2	globlastp
LNU789_H7	switchgrasslgb167lFL695828	1016	3111	534	88.6	globlastp
LNU789_H8	milletl10v1lEV0454PM015227_P1	1017	3112	534	87	globlastp
LNU789_H13	switchgrassl12v1lFL695828_P1	1018	3113	534	86.8	globlastp
LNU789_H9	ricel11v1lC27096	1019	3114	534	86.8	globlastp
LNU789_H10	sorghuml12v1lSB01G037160	1020	3115	534	86.1	globlastp
LNU789_H11	maizel10v1lAI783213_P1	1021	3116	534	85.9	globlastp
LNU789_H12	sugarcanel10v1CA066166	1022	3117	534	85.6	globlastp
LNU790_H1	ricel11v1lBI804641	1023	3118	535	90.8	globlastp
LNU790_H2	maizel10v1lAI461507_P1	1024	3119	535	90.4	globlastp
LNU790_H3	sorghuml12v1lSB01G038000	1025	3120	535	90.4	globlastp
LNU790_H10	switchgrassl12v1lFE603656_P1	1026	3121	535	90.2	globlastp
LNU790_H4	maizel10v1lBI096427_P1	1027	3122	535	90	globlastp
LNU790_H5	foxtailmilletl1lv3lPHY7SI035653M_P1	1028	3123	535	89.6	globlastp
LNU790_H6	ryel12v1lDRR001012.151815	1029	3124	535	88.6	globlastp
LNU790_H7	switchgrasslgb167lDN142553	1030	3125	535	88.52	glotblastn
LNU790_H8	milletl10v1lEVO454PM083041_P1	1031	3126	535	86.5	globlastp
LNU790_H9	wheatl12v3lCA605241	1032	3127	535	82.3	globlastp
LNU791_H1	sorghuml12v1lSB01G041890	1033	3128	536	89.6	globlastp
LNU791_H2	wheatl12v3lERR125558X24074D1	1034	3129	536	89.6	globlastp
LNU791_H3	ryel12v1lDRR001012.416966	1035	3130	536	88.7	globlastp
LNU791_H4	foxtail milletl1lv3lPHY7SI038156M_P1	1036	3131	536	85.8	globlastp
LNU791_H5	ricel11v1lCA752611	1037	3132	536	85.8	globlastp
LNU791_H6	switchgrasslgb167lFL973644	1038	3133	536	85.8	globlastp
LNU791_H7	milletl10v1IPMSLX0872180D1_P1	1039	3134	536	84.9	globlastp
LNU792_H1	ryel12v1lGFXFJ374582X1	1040	3135	537	94	globlastp
LNU792_H2	barleyl12v1lAV833692_P1	1041	3136	537	93.6	globlastp
LNU792_H3	ricel11v1lAU056540	1042	3137	537	89.9	globlastp
LNU792_H4	foxtail_milletl11v3lPHY7SI000485M_P1	1043	3138	537	88.7	globlastp
LNU792_H10	switchgrassl12v1lFE640305_P1	1044	3139	537	88.3	globlastp
LNU792_H5	maizel10v1lAW600616_P1	1045	3140	537	87.7	globlastp
LNU792_H6	maizel10v1lCD439418_P1	1046	3141	537	84.7	globlastp
LNU792_H7	wheatl12v3lBE412277	1047	3142	537	82.4	globlastp
LNU792_H8	sorghuml12v1lSB03G036050	1048	3143	537	82.3	globlastp
LNU792_H9	wheatl12v3lCA614780	1049	3144	537	80	globlastp
LNU794_H1	wheatl12v3lBF201200	1050	3145	539	96.7	globlastp
LNU794_H2	pseudoroegnerialgb167lFF344480	1051	3146	539	96.3	globlastp
LNU794_H3	ryel12v1lDRR001012.108384	1052	3147	539	96.3	globlastp
LNU794_H4	oatl11v1lGO588032_P1	1053	3148	539	95.5	globlastp
LNU794_H5	ricel11v1lAF074750	1054	3149	539	89.8	globlastp
LNU794_H13	switchgrassl12v1lFE601825_P1	1055	3150	539	88.5	globlastp
LNU794_H6	switchgrasslgb167lFE601825	1056	3150	539	88.5	globlastp
LNU794_H7	switchgrasslgb167lFE644897	1057	3151	539	88.1	globlastp
LNU794_H8	sugarcanel10v1lCA102960	1058	3152	539	87.7	globlastp
LNU794_H9	milled10v1lEVO454PM002886_P1	1059	3153	539	87.3	globlastp
LNU794_H10	foxtail_milletl11v3lPHY7SI014266M_P1	1060	3154	539	86.5	globlastp
LNU794_H11	sorghuml12v1lSB07G003760	1061	3155	539	86.5	globlastp
LNU794_H12	maizel10v1lAI944207_P1	1062	3156	539	84.8	globlastp
LNU794_H14	switchgrassl12v1lFL968985_ T1	1063	3157	539	80	glotblastn
LNU797_H1	leymuslgb166lEG376487_P1	1064	3158	542	99.6	globlastp
LNU797_H2	wheatl12v3lBE400744	1065	3159	542	99.2	globlastp
LNU797_H3	wheatl12v3lBE406331	1066	3160	542	99.2	globlastp
LNU797_H4	wheatl12v3lCA730405	1067	3159	542	99.2	globlastp
LNU797_H5	ryel12v1lBF429235	1068	3161	542	98.7	globlastp
LNU797_H6	fescuelgb161lCK801981_P1	1069	3162	542	98.3	globlastp
LNU797_H7	oatl11v1lCN816314_P1	1070	3163	542	98.3	globlastp
LNU797_H8	oatl11v1lGO589763_P1	1071	3164	542	97.9	globlastp
LNU797_H9	ricel11v1lBE039235	1072	3165	542	97.9	globlastp
LGP52	sorghuml12v1lSBOSG024560	1073	3166	542	97.5	globlastp
LNU797_H10	brachypodiuml12v1IBRADI4G13740T2_P1	1074	3167	542	97.5	globlastp
LNU797_H1 1	maizel10v1lAI395988_P1	1075	3166	542	97.5	globlastp
LNU797_H1 2	sugarcanel10v1lBQ536939	1076	3166	542	97.5	globlastp
LNU797_H1 3	cenchruslgb166lBM084421_P 1	1077	3168	542	97	globlastp
LNU797_H1 4	foxtail_millet|11v3|PHY7SI026806M_P1	1078	3168	542	97	globlastp
LNU797_H1 5	onion|12v1|CF439938_P1	1079	3169	542	97	globlastp
LNU797_H1 6	onion|12v1|CF441222_P1	1080	3170	542	97	globlastp
LNU797_H1 7	sorghum|12v1|SB01G046910	1081	3171	542	97	globlastp
LGP52_H1	switchgrass|12v1|FE602145_ P1	1082	3172	542	96.6	globlastp
LNU797_H1 8	euonymus|11v1|SRR070038X135997_P1	1083	3173	542	96.6	globlastp
LNU797_H1 9	fescue|gb161|DT675202_P1	1084	3174	542	96.6	globlastp
LNU797_H2 0	maize|10v1|AI714766_P1	1085	3175	542	96.6	globlastp
LNU797_H2 1	millet|10v1|EVG454PM001587_P1	1086	3176	542	96.6	globlastp
LNU797_H2 2	milletl 10v1|EVO454PM00570 9_P1	1087	3177	542	96.6	globlastp
LNU797_H2 3	pseudoroegneria|gb167|FF343 070	1088	3178	542	96.6	globlastp
LNU797_H2 4	rye|12v1|DRR001012.101136	1089	3178	542	96.6	globlastp
LNU797_H2 5	rye|l2v1|DRR001012.112514	1090	3178	542	96.6	globlastp
LNU797_H2 6	rye|12v1|DRR001012.193069	1091	3178	542	96.6	globlastp
LNU797_H2 7	switchgrass|gb167|FE602145	1092	3172	542	96.6	globlastp
LNU797_H2 8	switchgrass|gb167|FE619094	1093	3172	542	96.6	globlastp
LNU797_H2 9	switchgrass|gb167|FE624039	1094	3172	542	96.6	globlastp
LNU797_H3 0	arnica|11v1|SRR99034X109165_P1	1095	3179	542	96.2	globlastp
LNU797_H3 1	artemisia|10v1|EY043858_P1	1096	3180	542	96.2	globlastp
LNU797_H3 2	euonymus|11v1|SRR070038X 195269_P1	1097	3181	542	96.2	globlastp
LNU797_H3 3	grape|11v1|GSVIVT01016670001_P1	1098	3182	542	96.2	globlastp
LNU797_H3 4	soybean|11v1|GLYMA02G01700	1099	3183	542	96.2	globlastp
LNU797_H3 4	soybean|12v1|GLYMA02G01700_P1	1100	3183	542	96.2	globlastp
LNU797_H3 5	sunflower|12v1|CD848350	1101	3179	542	96.2	globlastp
LNU797_H3 6	sunflowerl12vlIDY926327	1102	3179	542	96.2	globlastp
LNU797_H3 7	wheat|12v3|BE398301	1103	3184	542	96.2	globlastp
LNU797_H3 8	wheat|12v3|BE638088	1104	3185	542	96.2	globlastp
LNU797_H3 9	wheat|12v3|CA616043	1105	3185	542	96.2	globlastp
LGP52_H3	bean|12v2|CA898157_P1	1106	3186	542	95.8	globlastp
LNU797_H4 0	amsonia|11v1|SRR098688X1 00584_P1	1107	3187	542	95.8	globlastp
LNU797_H4 1	barley|12v1|BE420554_P1	1108	3188	542	95.8	globlastp
LNU797_H4 2	bean|12v1|CA898157	1109	3186	542	95.8	globlastp
LNU797_H4 3	chestnut|gb170|SRR006295S0000440_P1	1110	3189	542	95.8	globlastp
LNU797_H4 4	cichorium|gb171|EH695394_P1	1111	3190	542	95.8	globlastp
LNU797_H4 5	coffea|10v1|DV681794_P1	1112	3191	542	95.8	globlastp
LNU797_H4 6	cotton|11v1|C0098301_P1	1113	3192	542	95.8	globlastp
LNU797_H4 7	cowpea|12v1|FF391241_P1	1114	3186	542	95.8	globlastp
LNU797_H4 8	dandelion|10v1|DR398974_P 1	1115	3190	542	95.8	globlastp
LNU797_H4 9	eschscholzia|11v1|CK745182_P1	1116	3193	542	95.8	globlastp
LNU797_H5 0	euonymus|11v1|SRR070038X148521_P1	1117	3194	542	95.8	globlastp
LNU797_H5 1	gossypium_raimondii|12v1|DR460270_P1	1118	3195	542	95.8	globlastp
LNU797_H5 2	heritieral10v1ISRR005794S00 01293_P1	1119	3196	542	95.8	globlastp
LNU797_H5 3	lettuce|12v1|DW046332_P1	1120	3190	542	95.8	globlastp
LNU797_H5 4	lotus|09v1|AW720222_P1	1121	3197	542	95.8	globlastp
LNU797_H5 5	oak|10v1|FP043285_P1	1122	3189	542	95.8	globlastp
LNU797_H5 6	sunflower|12v1|CD849067	1123	3198	542	95.8	globlastp
LNU797_H5 7	tabernaemontana|11v1|SRR098689X106530	1124	3199	542	95.8	globlastp
LNU797_H5 8	tragopogon|10v1|SRR020205S0002302	1125	3190	542	95.8	globlastp
LNU797_H5 9	vinca|11v1|SRR098690X108966	1126	3200	542	95.8	globlastp
LNU797_H6 0	vinca|11v1|SRR098690X131739	1127	3201	542	95.8	globlastp
LGP52_H2	prunus_mume|13v1|BU045923_P1	1128	3202	542	95.4	globlastp
LNU797_H6 1	ambrosia|11v1|SRR346935.111437_P1	1129	3203	542	95.4	globlastp
LNU797_H6 2	ambrosia|11v1|SRR346943.182031_P1	1130	3203	542	95.4	globlastp
LNU797_H6 3	arnica|11v1|SRR099034X103642_P1	1131	3204	542	95.4	globlastp
LNU797_H6 4	banana|12v1|BBS104T3_P1	1132	3205	542	95.4	globlastp
LNU797_H6 5	cacao|10v1|CU484574_P1	1133	3206	542	95.4	globlastp
LNU797_H6 6	catharanthus|11v1|SRR098691X100536_P1	1134	3207	542	95.4	globlastp
LNU797_H6 7	cotton|11v1|BE052796_P1	1135	3208	542	95.4	globlastp
LNU797_H6 8	cotton|11v1|BF272890_P1	1136	3209	542	95.4	globlastp
LNU797_H6 9	gossypium_raimondii|12v1|BE052796_P1	1137	3208	542	95.4	globlastp
LNU797_H7 0	gossypium_raimondii|12v1|BG440472_P1	1138	3209	542	95.4	globlastp
LNU797_H7 1	humulus|11v1|ES653444_P1	1139	3210	542	95.4	globlastp
LNU797_H7 2	medicago|12v1|BE205283_P1	1140	3211	542	95.4	globlastp
LNU797_H7 3	momordical 10v1ISRR071315S0000877_P1	1141	3212	542	95.4	globlastp
LNU797_H7 4	nasturtium|11v1|SRR032558.130953_P1	1142	3213	542	95.4	globlastp
LNU797_H7 5	poppy|11v1|SRR030261.67760_P1	1143	3214	542	95.4	globlastp
LNU797_H7 6	prunus|10v1|BU045923	1144	3202	542	95.4	globlastp
LNU797_H7 7	soybean|11v1|GLYMA10G01760	1145	3215	542	95.4	globlastp
LNU797_H7 7	soybean|12v1|GLYMA10G01760_P1	1146	3215	542	95.4	globlastp
LNU797_H7 8	soybean|11v1|GLYMA10G42650	1147	3213	542	95.4	globlastp
LNU797_H7 8	soybean|12v1|GLYMA10G42650_P1	1148	3213	542	95.4	globlastp
LNU797_H7 9	soybean|11v1|GLYMA20G24380	1149	3213	542	95.4	globlastp
LNU797_H7 9	soybean|12v1IGLYMA20G24380_P1	1150	3213	542	95.4	globlastp
LNU797_H8 0	trigonella|11v1ISRR066194X100358	1151	3211	542	95.4	globlastp
LNU797_H8 1	wheat|12v3|BE516233	1152	3216	542	95.4	globlastp
LNU797_H8 2	clover|gb162|BB904539_T1	1153	3217	542	95.36	glotblastn
LNU797_H8 3	tripterygium|11v1|SRR098677X108743	1154	3218	542	95.36	glotblastn
LNU797_H8 4	ambrosia|11v1|SRR346935.162287_T1	1155	3219	542	94.94	glotblastn
LNU797_H8 5	arabidopsis_lyrata|09v1|JGIAL004906_P1	1156	3220	542	94.9	globlastp
LNU797_H8 6	arabidopsis|10v1|AT1G53850_P1	1157	3220	542	94.9	globlastp
LNU797_H8 7	arabidopsis|10v1|AT3G14290_P1	1158	3221	542	94.9	globlastp
LNU797_H8 8	aristolochia|10v1|FD753041_P1	1159	3222	542	94.9	globlastp
LNU797_H8 9	centaurea|gb166|EH720898_P1	1160	3223	542	94.9	globlastp
LNU797_H9 0	chelidonium|11v1|SRR084752X101469_P1	1161	3224	542	94.9	globlastp
LNU797_H9 1	chickpea|11v1|GR406082	1162	3225	542	94.9	globlastp
LNU797_H9 1	chickpea|13v2|GR406082_P1	1163	3225	542	94.9	globlastp
LNU797_H9 2	cirsium|11v1|SRR346952.1003064_P1	1164	3223	542	94.9	globlastp
LNU797_H9 3	cirsium|11v1|SRR346952.101704_P1	1165	3223	542	94.9	globlastp
LNU797_H9 4	clementine|11v1|CF418418_P1	1166	3226	542	94.9	globlastp
LNU797_H9 5	cowpea|12v1|FF400036_P1	1167	3227	542	94.9	globlastp
LNU797_H9 6	cynara|gb167|GE586707_P1	1168	3223	542	94.9	globlastp
LNU797_H9 7	flaveria|11v1|SRR149229.124001_P1	1169	3228	542	94.9	globlastp
LNU797_H9 8	flaveria|11v1|SRR149229.164802_P1	1170	3228	542	94.9	globlastp
LNU797_H9 9	flaveria|11v1|SRR149229.187551_P1	1171	3228	542	94.9	globlastp
LNU797_H1 00	flaveria|11v1|SRR149232.124521_P1	1172	3228	542	94.9	globlastp
LNU797_H1 01	kiwi|gb166|FG416367_P1	1173	3229	542	94.9	globlastp
LNU797_H1 02	oil_palm|11v1|GH636084_P1	1174	3230	542	94.9	globlastp
LNU797_H1 03	orange|11v1|CB322089_PI	1175	3226	542	94.9	globlastp
LNU797_H1 04	pea|11v1|AM161973_P1	1176	3231	542	94.9	globlastp
LNU797_H1 05	pigeonpea|11v1|SRR054580X 103301_P1	1177	3232	542	94.9	globlastp
LNU797_H1 06	poppy|11v1|FG610932_P1	1178	3233	542	94.9	globlastp
LNU797_H1 07	safflower|gb162|EL375904	1179	3223	542	94.9	globlastp
LNU797_H1 08	scabiosa|11v1|SRR063723X104505	1180	3234	542	94.9	globlastp
LNU797_H1 09	valeriana|11v1|SRR099039X102707	1181	3235	542	94.9	globlastp
LNU797_H1 10	watermelon|11v1|CK756307	1182	3236	542	94.9	globlastp
LNU797_H1 11	antirrhinum|gb166|AJ793100_T1	1183	3237	542	94.51	glotblastn
LNU797_H1 12	sarracenia|11v1|SRR192669.135220	1184	3238	542	94.51	glotblastn
LGP52_H4	bean|12v2|CA905741_P1	1185	3239	542	94.5	globlastp
LNU797_H1 13	arabidopsis_lyrata|09v1|JGIAL009899_P1	1186	3240	542	94.5	globlastp
LNU797_H1 14	bean|12v1|CA905741	1187	3239	542	94.5	globlastp
LNU797_H1 15	beech|11v1|SRR006293.26585_P1	1188	3241	542	94.5	globlastp
LNU797_H1 16	beech|11v1|SRR006293.2685 9_P1	1189	3241	542	94.5	globlastp
LNU797_H1 17	blueberry|12v1|CV090936_P1	1190	3242	542	94.5	globlastp
LNU797_H1 18	blueberry|12v1|SRR353282X53162D1_P1	1191	3243	542	94.5	globlastp
LNU797_H1 19	cleome_spinosa|10v1|GR932132_P1	1192	3244	542	94.5	globlastp
LNU797_H1 20	eschscholzia|11v1|SRR014116.104453_P1	1193	3245	542	94.5	globlastp
LNU797_H1 21	euphorbia|11v1|DV112478_P 1	1194	3246	542	94.5	globlastp
LNU797_H1 22	oil_palm|11v1|EL688733_P1	1195	3247	542	94.5	globlastp
LNU797_H1 23	peanut|10v1|CX128176_P1	1196	3248	542	94.5	globlastp
LNU797_H1 24	salvia|10v1|SRR01455350016175	1197	3249	542	94.5	globlastp
LNU797_H1 25	sesame|12v1|SESI12V1222326	1198	3250	542	94.5	globlastp
LNU797_H1 26	thellungiella_parvulum|11v1|BY811542	1199	3251	542	94.5	globlastp
LNU797_H1 27	apple|11v1|CN544917_P1	1200	3252	542	94.1	globlastp
LNU797_H1 28	b_juncea|12v1|E6ANDIZ01A5869_P1	1201	3253	542	94.1	globlastp
LNU797_H1 29	b_juncea|12v1|E6ANDIZ01AGQ24_P1	1202	3254	542	94.1	globlastp
LNU797_H1 30	b_j uncea|12v1|E6ANDIZ01B06M7_P1	1203	3255	542	94.1	globlastp
LNU797_H1 31	b_juncea|12v1|E6ANDIZ01BBFFF_P1	1204	3256	542	94.1	globlastp
LNU797_H1 32	b_rapa|11v1|CD821133_P1	1205	3257	542	94.1	globlastp
LNU797_H1 33	b_rapa|11v1|CD824786_P1	1206	3255	542	94.1	globlastp
LNU797_H1 34	canola|11v1|CN734250_P1	1207	3257	542	94.1	globlastp
LNU797_H1 35	canola|11v1|CN736323_P1	1208	3255	542	94.1	globlastp
LNU797_H1 36	canola|11v1|EE457068_P1	1209	3255	542	94.1	globlastp
LNU797_H1 37	cleome_spinosa|10v1|GR931830_P1	1210	3258	542	94.1	globlastp
LNU797_H1 38	cucurbita|11v1|FG227107_P1	1211	3259	542	94.1	globlastp
LNU797_H1 39	eucalyptus|11v2|CD669666_P1	1212	3260	542	94.1	globlastp
LNU797_H1 40	euphorbia|11v1|SRR098678X123510_P1	1213	3261	542	94.1	globlastp
LNU797_H1 41	fagopyrum|11v1ISRR063703X104315_P1	1214	3262	542	94.1	globlastp
LNU797_H1 42	flaveria|11v1|SRR149229.113631_P1	1215	3263	542	94.1	globlastp
LNU797_H1 43	orobanche|10v1|SRR023189S0023437_P1	1216	3264	542	94.1	globlastp
LNU797_H1 44	phalaenopsis|11v1|CB033196_P1	1217	3265	542	94.1	globlastp
LNU797_H1 45	platanus|11v1|SRR096786X100928_P1	1218	3266	542	94.1	globlastp
LNU797_H1 46	poppy|11v1|FE964610_P1	1219	3267	542	94.1	globlastp
LNU797_H1 47	radish|gb164|EV528186	1220	3255	542	94.1	globlastp
LNU797_H1 48	spurge|gb161|DV112478	1221	3268	542	94.1	globlastp
LNU797_H1 49	tobacco|gb162|AB001552	1222	3269	542	94.1	globlastp
LNU797_H1 50	triphysaria|10v1|EX999501	1223	3270	542	94.1	globlastp
LNU797_H1 51	triphysaria|10v1|EY014414	1224	3271	542	94.1	globlastp
LNU797_H2 16	olea|13v1|SRR014463X18338D1_P1	1225	3272	542	94.1	globlastp
LNU797_H1 52	ginseng|10v1|CN845666_T1	1226	3273	542	94.09	glotblastn
LNU797_H1 53	sarracenia|11v1|SRR192669.1 05817	1227	3274	542	94.09	glotblastn
LGP52_H5	castorbean|12v1|EE260427_P1	1228	3275	542	93.7	globlastp
LGP52_H7	monkeyflowerl12vlIDV206269_P1	1229	3276	542	93.7	globlastp
LNU797_H1 54	b_oleracea|gb161|DY026308_ P1	1230	3277	542	93.7	globlastp
LNU797_H1 55	b_rapa|11v1|BG543962_P1	1231	3277	542	93.7	globlastp
LNU797_H1 56	canola|11v1|DY006413_P1	1232	3277	542	93.7	globlastp
LNU797_H1 57	canola|11v1|EE454294_P1	1233	3278	542	93.7	globlastp
LNU797_H1 58	canola|11v1|EE454622_P1	1234	3277	542	93.7	globlastp
LNU797_H1 60	cleome_gynandra|10v1|SRR015532S0002255_P1	1235	3279	542	93.7	globlastp
LNU797_H1 61	cucumber|09v1|CK756307_P1	1236	3280	542	93.7	globlastp
LNU797_H1 62	cucurbita|11v1|SRRO91276X151710_P1	1237	3281	542	93.7	globlastp
LNU797_H1 63	hornbeam|12v1|SRR364455.122361_P1	1238	3282	542	93.7	globlastp
LNU797_H1 64	ipomoea_nil|10v1|BJ559450_P1	1239	3283	542	93.7	globlastp
LNU797_H1 65	melon|10v1|DV633226_P1	1240	3280	542	93.7	globlastp
LNU797_H1 67	phylal11v2|SRR099035X105603_P1	1241	3284	542	93.7	globlastp
LNU797_H1 68	poppy|11v1|SRR030259.236762_P1	1242	3285	542	93.7	globlastp
LNU797_H1 69	radishlgb164|EV532244	1243	3277	542	93.7	globlastp
LNU797_H1 70	radishlgb164|EV544576	1244	3286	542	93.7	globlastp
LNU797_H1 71	radishlgb164|EW724310	1245	3287	542	93.7	globlastp
LNU797_H1 72	radishlgb164|EX895850	1246	3277	542	93.7	globlastp
LNU797_H1 73	solanum_phurejal09v1ISPHAJ487384	1247	3288	542	93.7	globlastp
LNU797_H1 74	tomato|11v1|AB001552	1248	3289	542	93.7	globlastp
LNU797_H1 75	tomato|11v1|AJ487384	1249	3288	542	93.7	globlastp
LNU797_H1 88	poplar|13v1|3BU823181_P1	1250	3290	542	93.7	globlastp
LNU797_H1 76	cassava|09v1IJGICASSAVA42237VALIDM1_T1	1251	3291	542	93.67	glotblastn
LNU797_H1 77	fagopyrum|11v1ISRR063689X100469_T1	1252	3292	542	93.67	glotblastn
LNU797_H1 78	fraxinus|11v1ISRR058827.113356_T1	1253	3293	542	93.67	glotblastn
LNU797_H1 79	fraxinus|11v1ISRR058827.100546_T1	1254	3293	542	93.25	glotblastn
LNU797_H1 80	platanus|11v1|SRR096786X125700_T1	1255	3294	542	93.25	glotblastn
LGP52_H6	monkeyflower|12v1IDV206044_P1	1256	3295	542	93.2	globlastp
LGP52_H8	nicotiana_benthamiana|12v1|BP748670_P1	1257	3296	542	93.2	globlastp
LGP52_H10	nicotiana_benthamiana|12v1|CN747657_P1	1258	3297	542	93.2	globlastp
LNU797_H1 81	fraxinus|11v1ISRR058827.105716_P1	1259	3298	542	93.2	globlastp
LNU797_H1 82	ginger|gb164|DY345083_P1	1260	3299	542	93.2	globlastp
LNU797_H1 83	jatropha|09v1|FM889898_P1	1261	3300	542	93.2	globlastp
LNU797_H1 84	monkeyflowerl10v1IDV206044	1262	3295	542	93.2	globlastp
LNU797_H1 85	orobanche|10v1ISRR023189S0003752_P1	1263	3301	542	93.2	globlastp
LNU797_H1 86	pepper|12v1|BM067274_P1	1264	3302	542	93.2	globlastp
LNU797_H1 87	phyla|11v2|SRR099035X28578_P1	1265	3303	542	93.2	globlastp
LNU797_H1 88	poplar|10v1|BU823181	1266	3304	542	93.2	globlastp
LNU797_H1 89	poplar|10v1|BU887035	1267	3305	542	93.2	globlastp
LNU797_H1 89	poplar|13v1|BU887035_P1	1268	3305	542	93.2	globlastp
LNU797_H1 90	rose|12v1|EC589334	1269	3306	542	93.2	globlastp
LNU797_H1 91	salvia|10v1|FE536702	1270	3307	542	93.2	globlastp
LNU797_H1 92	strawberryl11v1IDV439642	1271	3308	542	93.2	globlastp
LNU797_H1 93	tobaccolgb162|CV018545	1272	3309	542	93.2	globlastp
LNU797_H1 94	thellungiella_halophilum|11v1v1IBY811542	1273	3310	542	92.83	glotblastn
LNU797_H2 62	nicotiana_benthamiana|12v1|EB425542_P1	1274	3311	542	92.8	globlastp
LGP52_H9	zoster|12v1|AM766202_P1	1275	3312	542	92.8	globlastp
LNU797_H1 95	eggplant|10v1|FS014765_P1	1276	3313	542	92.8	globlastp
LNU797_H1 96	nuphar|gb166|CK746396_P1	1277	3314	542	92.8	globlastp
LNU797_H1 97	partheniuml10v1IGW780462_P1	1278	3315	542	92.8	globlastp
LNU797_H1 98	phalaenopsis|11v1ICB032504_P1	1279	3316	542	92.8	globlastp
LNU797_H1 99	zosteral10v1IAM766202	1280	3312	542	92.8	globlastp
LNU797_H2 00	banana|12v1|DN239316_P1	1281	3317	542	92.6	globlastp
LNU797_H2 01	rye|12v1|DRR001012.220584	1282	3318	542	92.41	glotblastn
LNU797_H2 63	olea|13v1|SRR014464X10873D1_P1	1283	3319	542	92.4	globlastp
LGP52_H11	olea|13v|SRR014463X25018 D1_P1	1284	3320	542	92.4	globlastp
LNU797_H2 02	amorphophallus|11v2|SRR08951X147361_P1	1285	3321	542	92.4	globlastp
LNU797_H2 03	antirrhinum|gb166|AJ798448_P1	1286	3322	542	92.4	globlastp
LNU797_H2 04	silene|11v1|GH294688	1287	3323	542	92.4	globlastp
LNU797_H2 05	cycas|gb166|DR061950_P1	1288	3324	542	92	globlastp
LNU797_H2 06	tobacco|gb162|EB425542	1289	3325	542	92	globlastp
LNU797_H2 07	euphorbia|11v1|BP961521_T1	1290	3326	542	91.98	glotblastn
LNU797_H2 08	zamia|gb166|FD773811	1291	3327	542	91.6	globlastp
LNU797_H2 09	lovegrass|gb167|EH183763_T1	1292	3328	542	91.14	glotblastn
LNU797_H2 10	tripterygium|11vlISRR098677X101097	1293	3329	542	91.1	globlastp
LNU797_H2 11	vinca|11v1ISRR098690X109756	1294	3330	542	91.1	globlastp
LNU797_H2 12	banana|12v1IMAGEN2012011862_P1	1295	3331	542	90.7	globlastp
LNU797_H2 13	clementine|11v1|EY827323_T1	1296	3332	542	90.3	glotblastn
LNU797_H2 14	orange|11v1|CF835946_T1	1297	3333	542	90.3	glotblastn
LGP52_H12	nicotiana_benthamiana|12v1|FG198486_P1	1298	3334	542	90.1	globlastp
LNU797_H2 15	aquilegia|10v2|DR919315_P1	1299	3335	542	90	globlastp
LNU797_H2 16	olea|11v1|SRR014463.18338	1300	3336	542	89.8	globlastp
LNU797_H2 17	petunia|gb171|FN002916_P1	1301	3337	542	89.8	globlastp
LNU797_H2 18	guizotia|10v1|GE558856_P1	1302	3338	542	89.5	globlastp
LNU797_H2 19	partheniuml10v1IGW785978_ P1	1303	3339	542	89.5	globlastp
LNU797_H2 20	liriodendron|gb166ICK757590 _T1	1304	3340	542	89.03	glotblastn
LNU797_H2 21	rye|12v1|DRR001012.749006	1305	3341	542	88.43	glotblastn
LNU797_H2 22	ceratodon|10v1|SRR074890S0022447_P1	1306	3342	542	88.2	globlastp
LGP52_H13	nicotiana_benthamiana|12v1|EH620293_T1	1307	3343	542	88.19	glotblastn
LNU797_H2 23	ambrosia|11v1|SRR346943.100828_T1	1308	3344	542	87.76	glotblastn
LNU797_H2 24	fraxinus|11v1ISRR058827.123528_T1	1309	3345	542	87.76	glotblastn
LNU797_H2 25	physcomitrella|10v1|AJ225438_P1	1310	3346	542	87.3	globlastp
LNU797_H2 26	physcomitrellal10v1IAW699661_P1	1311	3347	542	87.3	globlastp
LNU797_H2 27	spikemoss|gb165|FE508399	1312	3348	542	87.3	globlastp
LNU797_H2 28	cephalotaxus|11v1|SRR064395X105137_P1	1313	3349	542	86.9	globlastp
LNU797_H2 29	cryptomeria|gb166|BP174342_P1	1314	3350	542	86.9	globlastp
LNU797_H2 30	maritime_pinel10v1IBX249273_P1	1315	3351	542	86.9	globlastp
LNU797_H2 31	pine|10v2|AW587810_P1	1316	3351	542	86.9	globlastp
LNU797_H2 32	podocarpus|10v1|SRR065014S0007113_P1	1317	3352	542	86.9	globlastp
LNU797_H2 33	potato|10v1|AJ487384_P1	1318	3353	542	86.9	globlastp
LNU797_H2 34	sequoia|10v1|SRR065044S0017123	1319	3354	542	86.9	globlastp
LNU797_H2 35	spruce|11v1IES249872	1320	3355	542	86.9	globlastp
LNU797_H2 36	taxus|10v1SRR032523S0013310	1321	3349	542	86.9	globlastp
LNU797_H2 37	flaveria|11v1|SRR149232.152816_P1	1322	3356	542	86.5	globlastp
LNU797_H2 38	pseudotsuga|10v1ISRR065119S0007920	1323	3357	542	86.5	globlastp
LNU797_H2 39	pteridium|11v1|SRR043594X10900	1324	3358	542	86.5	glotblastn
LNU797_H2 40	marchantia|gb166 |BJ844657_ P1	1325	3359	542	86.1	globlastp
LNU797_H2 41	sciadopitys|10v1|SRR065035S0004334	1326	3360	542	86.1	globlastp
LNU797_H2 42	abies|11v2|SRR098676X104726_P1	1327	3361	542	85.7	globlastp
LNU797_H2 43	cedrus|11v1|SRR065007X120238_P1	1328	3362	542	85.7	globlastp
LNU797_H2 44	radish|gb|164|EV532879	1329	3363	542	85.2	globlastp
LNU797_H2 45	tea|10v1|GT087989	1330	3364	542	85.2	globlastp
LNU797_H2 46	nicotiana_benthamiana|gb1621CN747657	1331	3365	542	84.4	globlastp
LNU797_H2 47	gnetum|10v1|EX949788_P1	1332	3366	542	84	globlastp
LNU797_H2 48	sugarcane|10v1|BQ536868	1333	3367	542	83.9	globlastp
LNU797_H2 49	liquorice|gb171|FS266885_P1	1334	3368	542	83.1	globlastp
LNU797_H2 50	poppy|11v1|SRR096789.122184_P1	1335	3369	542	82.7	globlastp
LNU797_H2 51	radishlgb164|EV529042	1336	3370	542	82.7	globlastp
LNU797_H2 52	radish|gb164|EV539130	1337	3370	542	82.7	globlastp
LNU797_H2 53	radishlgb164|EV542996	1338	3371	542	82.7	globlastp
LNU797_H2 54	cyamopsis|10v1|EG989234_P1	1339	3372	542	82.3	globlastp
LNU797_H2 55	poppy|11v1ISRR030267.187266_P1	1340	3373	542	82.3	globlastp
LNU797_H2 56	flax|11v1|JG084720_T1	1341	3374	542	82.28	glotblastn
LNU797_H2 57	gerbera|09v1|AJ754027_P1	1342	3375	542	81.9	globlastp
LNU797_H2 58	distylium|11v1ISRR065077X153511_P1	1343	3376	542	81.4	globlastp
LNU797_H2 59	lovegrass|gb167|EH185755_P 1	1344	3377	542	81.4	globlastp
LNU797_H2 60	blueberry|12v1|SRR353285X11741D1_T1	1345	3378	542	81.01	glotblastn
LNU797_H2 61	poppy|11v1|SRR096789.253826_T1	1346	3379	542	81.01	glotblastn
LNU798_H1	barley|12v1|BE422159_P1	1347	3380	543	97	globlastp
LNU798_H2	sorghum|12v1ISB02G019500	1348	3381	543	93.8	globlastp
LNU798_H3	foxtail_millet|11v3|PHY7SI029445M_P1	1349	3382	543	93.7	globlastp
LNU798_H4	maize|10v1|AI629903_P1	1350	3383	543	93.5	globlastp
LNU798_H5	wheat|12v3|AL819672	1351	3384	543	91.4	globlastp
LNU798_H6	rice|11v1|AU174198	1352	3385	543	91.2	globlastp
LNU798_H1 0	switchgrass|12v1IFE609190_P1	1353	3386	543	91	globlastp
LNU798_H7	wheat|12v3|BQ245545	1354	3387	543	91	globlastp
LNU798_H8	millet|10v1|EVO454PM023052_P1	1355	3388	543	87.3	globlastp
LNU798_H9	wheat|12v3|BG606377	1356	3389	543	85.4	globlastp
LNU799_H1	oat|11v1|GR338611_P1	1357	3390	544	95.5	globlastp
LNU799_H2	leymus|gb166|EG397348_P1	1358	3391	544	93.9	globlastp
LNU799_H3	rye|12v1|DRR001012.356736	1359	3391	544	93.9	globlastp
LNU799_H4	rye|12v1|DRR001012.648999	1360	3391	544	93.9	globlastp
LNU799_H5	rye|12v1|DRR001012.761725	1361	3391	544	93.9	globlastp
LNU799_H6	wheat|12v3|BE403020	1362	3391	544	93.9	globlastp
LNU799_H7	barley|12v1|BI953338_P1	1363	3392	544	93.5	globlastp
LNU799_H8	rice|11v1|AU085931	1364	3393	544	91.1	globlastp
LNU799_H9	foxtail_millet|11v3|PHY7SI030913M_P1	1365	3394	544	84.4	globlastp
LNU799_H1 0	millet|10v1IPMSLX0021480_P1	1366	3395	544	84.1	globlastp
LNU799_H1 1	maize|10v1|FL234904_P1	1367	3396	544	84	globlastp
LNU799_H1 2	maize|10v1|AW076436_P1	1368	3397	544	83.3	globlastp
LNU799_H1 3	sorghum|12v1ISB02G024130	1369	3398	544	82.9	globlastp
LNU799_H1 5	switchgrass|12v1|FE619626_P1	1370	3399	544	82.5	globlastp
LNU799_H1 4	switchgrasslgb167|FE619626	1371	3400	544	81.7	globlastp
LNU801_H9	switchgrassl12v1IFL970980_P1	1372	3401	546	93.1	globlastp
LNU801_H1	millet|10v1|EVO454PM000992_P1	1373	3402	546	92.5	globlastp
LNU801_H2	sorghum|12v1|SB03G046360	1374	3403	546	90	globlastp
LNU801_H3	rice|11v1|BM420996	1375	3404	546	88.79	glotblastn
LNU801_H4	maize|10v1|AI734386_P1	1376	3405	546	87.9	globlastp
LNU801_H5	maize|10v1|BE552901_P1	1377	3406	546	87.2	globlastp
LNU801_H6	barley|12v1|BE412491_P1	1378	3407	546	82.9	globlastp
LNU801_H7	brachypodium|12v1IBRADI2G61240_P1	1379	3408	546	82	globlastp
LNU801_H8	rye|12v1||DRR001012.134722	1380	3409	546	81.6	globlastp
LNU802_H1	rice|11v1|C26804	1381	3410	547	91.3	globlastp
LNU802_H2	foxtail_millet|11v3|PHY7SI021421M_P1	1382	3411	547	89.1	globlastp
LNU802_H3	rice|11v1|BF475211	1383	3412	547	88.9	globlastp
LNU802_H2 0	switchgrass|12v1|FL702067_P1	1384	3413	547	88.5	globlastp
LNU802_H4	millet|10v1|EVO454PM003455_P1	1385	3414	547	88	globlastp
LNU802_H5	sorghum|12v1|SB09G029750	1386	3415	547	87.8	globlastp
LNU802_H6	brachypodium|12v1IBRADI2G15300T2_P1	1387	3416	547	87.2	globlastp
LNU802_H7	wheat|12v3|BJ257279	1388	3417	547	86.9	globlastp
LNU802_H8	wheat|12v3|SRR073321X559678D1	1389	3417	547	86.9	globlastp
LNU802_H9	barley|12v1|AV833654_P1	1390	3418	547	86.7	globlastp
LNU802_H1 0	rye|12v1|DRR001012.106866	1391	3419	547	86.5	globlastp
LNU802_H1 1	wheat|12v3|CA497108	1392	3420	547	86.5	globlastp
LNU802_H1 2	rye|12v1|DRR001012.119952	1393	3421	547	86.3	globlastp
LNU802_H1 3	rye|12v1|DRR001012.141039	1394	3422	547	86.3	globlastp
LNU802_H1 4	wheat|12v3|SRR043326X44117D1	1395	3423	547	85.7	globlastp
LNU802_H1 5	rye|12v1|DRR001012.724073	1396	3424	547	84.84	glotblastn
LNU802_H1 6	rye|12v1|DRR001012.794078	1397	3425	547	84.63	glotblastn
LNU802_H1 7 _	rye|12v1|DRR001012.762098	1398	3426	547	84.6	globlastp
LNU802_H1 8 _	oat|11v1|CN816181_P1	1399	3427	547	83.7	globlastp
LNU802_H1 9	wheat|12v3|SRR043323X82204D1	1400	3428	547	81.48	glotblastn
LNU803_H7	switchgrass|12v1|FL957205_P1	1401	3429	548	91.1	globlastp
LNU803_H1	millet|10v1|EVO454PM050490_P1	1402	3430	548	89.9	globlastp
LNU803_H8	switchgrass|12v1|JG811131_P1	1403	3431	548	88.6	globlastp
LNU803_H2	brachypodium|12v1IBRADI2G60317_P1	1404	3432	548	88.6	globlastp
LNU803_H3	switchgrasslgb167 |FL957205	1405	3433	548	86.1	globlastp
LNU803_H9	switchgrass|12v1ISRR364496. 92662_T1	1406	3434	548	83.54	glotblastn
LNU803_H4	wheat|12v3|SRR043323X35031D1	1407	3435	548	81.2	globlastp
LNU803_H5	maize|10v1|AI629617_P1	1408	3436	548	81	globlastp
LNU803_H6	maize|10v1|AW288544_P1	1409	3436	548	81	globlastp
LNU805_H2	switchgrass|12v1|DN145962_T1	1410	3437	550	80.05	glotblastn
LNU805_H1	switchgrass|gb167|DN145962	1411	3438	550	80	glotblastn
LNU807_H1	sorghum|12v1ISB09G006610	1412	3439	552	96.1	globlastp
LNU807_H1 2	switchgrass|12v1|FL935393_P1	1413	3440	552	94.6	globlastp
LNU807_H2	maize|10v1|CD950739_P1	1414	3441	552	93.8	globlastp
LNU807_H3	millet|10v1|EVO454PM000715_P1	1415	3442	552	88	globlastp
LNU807_H4	wheat|12v3|BG605330	1416	3443	552	85.2	globlastp
LNU807_H5	wheat|12v3|CA627721	1417	3444	552	85	globlastp
LNU807_H6	wheat|12v3|SRR043323X42120D1	1418	3444	552	85	globlastp
LNU807_H7	rye|12v1|DRR001012.103250	1419	3445	552	84.9	globlastp
LNU807_H8	wheat|12v3|CD917464	1420	3446	552	84.7	globlastp
LNU807_H9	brachypodium|12v1|BRADI4G26810_P1	1421	3447	552	84.3	globlastp
LNU807_H1 0	rice|11v1|AA753940	1422	3448	552	84.3	globlastp
LNU807_H1 1	rice|11v1|BI807965	1423	3449	552	84.3	globlastp
LNU808_H1	millet|10v1|EVO454PM012822_P1	1424	3450	553	95	globlastp
LNU808_H5	switchgrass|12v1|DN145950_P1	1425	3451	553	94.5	globlastp
LNU808_H2	switchgrass|gb167|DN145950	1426	3451	553	94.5	globlastp
LNU808_H6	switchgrass|12v1|FL698385_P1	1427	3452	553	93.1	globlastp
LNU808_H3	sorghum|12v1|SB06G033120	1428	3453	553	90	globlastp
LNU808_H4	maize|10v1|CF636626_P1	1429	3454	553	89	globlastp
LNU809_H1	switchgrass|gb167|DN142820	1430	3455	554	93.9	globlastp
LNU809_H2	maize|10v1|BE344743_P1	1431	3456	554	87.9	globlastp
LNU809_H3	sorghum|12v1|SB01G001260	1432	3457	554	87.3	globlastp
LNU809_H4	sugarcane|10v1|CA110374	1433	3458	554	84.7	globlastp
LNU809_H5	rice|11v1|BI306268	1434	3459	554	82.4	globlastp
LNU810_H1	foxtail_millet|11v3|SICRP020917_P1	1435	3460	555	95.8	globlastp
LNU810_H2	foxtail_millet|11v3|PHY7SI012527M_T1	1436	3461	555	94.17	glotblastn
LNU810_H3	foxtail_millet|11v3|SICRP100316_P1	1437	3462	555	89.2	globlastp
LNU810_H4	millet|10v1|EV0454PM110704_T1	1438	3463	555	86.67	glotblastn
LNU811_H1	sugarcane|10v1|BU103402	1439	3464	556	81.9	globlastp
LNU811_H2	sorghum|12v1|SB09G001370	1440	3465	556	80.5	globlastp
LNU813_H1	sorghum|12v1|SB01G011930	1441	3466	557	89	globlastp
LNU815_H1	sorghum|12v1|SB03G031180	1442	3467	559	94	globlastp
LNU815_H2	sugarcane|10v1|CA123143	1443	3468	559	93.4	globlastp
LNU815_H1 1	switchgrass|12v1|SRR187765.104957_P1	1444	3469	559	91	globlastp
LNU815_H1 2	switchgrass|12v1|FL826760_P1	1445	3470	559	89.3	globlastp
LNU815_H3	foxtail_millet|11v3|PHY7SI003141M_P1	1446	3471	559	89.2	globlastp
LNU815_H4	switchgrass|gb167|FL826760	1447	3472	559	88.7	globlastp
LNU815_H5	rice|11v1|AU174360	1448	3473	559	88.6	globlastp
LNU815_H6	millet|10v1|PMSLX0006943_P1	1449	3474	559	85.6	globlastp
LNU815_H7	rye|12v1|DRR001012.175289	1450	3475	559	85	globlastp
LNU815_H8	rye|12v1|DRR001012.458810	1451	3475	559	85	globlastp
LNU815_H9	brachypodium|12v1|BRADI2G46560_T1	1452	3476	559	83.23	glotblastn
LNU815_H1 0	wheat|12v3|BE442626	1453	3477	559	82.6	globlastp
LNU816_H5	brachypodium|12v1|BRADI3G53550_P1	1454	3478	560	91.5	globlastp
LNU816_H6	rice|11v1|CA759966	1455	3479	560	91.1	globlastp
LNU816_H1 0	rye|12v1|DRR001014.10485	1456	3480	560	82.1	globlastp
LNU817_H1	sorghum|12v1|SB06G032840	1457	3481	561	91.6	globlastp
LNU817_H2	maize|10v1|AI714648_P1	1458	3482	561	88.9	globlastp
LNU817_H3	foxtail_millet|11v3|PHY7SI018613M_P1	1459	3483	561	85.5	globlastp
LNU817_H7	switchgrass|12v1|FL735544_P1	1460	3484	561	84.7	globlastp
LNU817_H4	cenchrus|gb166|EB660297_P1	1461	3485	561	84.1	globlastp
LNU817_H5	switchgrass|gb167|FL735544	1462	3486	561	82.9	globlastp
LNU817_H6	millet|10v1|EV0454PM108926_P1	1463	3487	561	80.1	globlastp
LNU819_H5	switchgrass|12v1|SRR187765. 390310_P1	1464	3488	563	86.8	globlastp
LNU819_H1	maize|10v1|EU946864_P1	1465	3489	563	86.3	globlastp
LNU819_H6	switchgrass|12v1|FL841069_P1	1466	3490	563	85.7	globlastp
LNU819_H2	switchgrass|gb167|FL841069	1467	3491	563	84.6	globlastp
LNU819_H3	sorghum|12v1|CF759244	1468	3492	563	82.42	glotblastn
LNU819_H4	foxtail_millet|11v3|PHY7SI031669M_P1	1469	3493	563	80.2	globlastp
LNU820_H1	sorghum|12v1|SB07G028630	1470	3494	564	91.3	globlastp
LNU820_H2	millet|10v1|EVO454PM458338_P1	1471	3495	564	87	globlastp
LNU820_H7	switchgrass|12v1|FE655496_P1	1472	3496	564	86.4	globlastp
LNU820_H8	switchgrass|12v1|FE619575_P1	1473	3497	564	86.1	globlastp
LNU820_H3	foxtail_millet|11v3|PHY7SI014065M_P1	1474	3498	564	86.1	globlastp
LNU820_H4	switchgrass|gb167|FE619575	1475	3499	564	86.1	globlastp
LNU820_H5	switchgrass|gb167|FE655496	1476	3500	564	81.6	globlastp
LNU820_H6	brachypodium|12v1|BRADI3G39210_P1	1477	3501	564	80.7	globlastp
LNU822_H1	foxtail_millet|11v3|PHY7SI011544M_P1	1478	3502	566	94.3	globlastp
LNU822_H2	sorghum|12v1|SB06G001560	1479	3503	566	94.3	globlastp
LNU822_H3	sugarcane|10v1|CA087712	1480	3503	566	94.3	globlastp
LNU822_H4	wheat|12v3|CA484262	1481	3503	566	94.3	globlastp
LNU822_H1 7	switchgrass|12v1|FL830389_P1	1482	3504	566	92.9	globlastp
LNU822_H5	switchgrass|gb167|FL830388	1483	3504	566	92.9	globlastp
LNU822_H6	cynodon|10v1|ES301162_P1	1484	3505	566	91.4	globlastp
LNU822_H7	millet|10v1|EVO454PM225827_P1	1485	3506	566	91.4	globlastp
LNU822_H1 8	switchgrass|12v1|FL830388_P1	1486	3507	566	90	globlastp
LNU822_H8	brachypodium|12v1|BRADI5G00560_P1	1487	3508	566	90	globlastp
LNU822_H9	barley|12v1|BI949537_P1	1488	3509	566	88.6	globlastp
LNU822_H1 0	rice|11v1|AA750203	1489	3510	566	88.6	globlastp
LNU822_H1 1	cynodonl10v1|ES294723_T1	1490	3511	566	87.14	glotblastn
LNU822_H1 2	oat|11v1|GO594699_P1	1491	3512	566	85.7	globlastp
LNU822_H1 3	wheat|12v3|BE490468	1492	3513	566	85.7	globlastp
LNU822_H1 4	wheat|12v3|BI751481	1493	3513	566	85.7	globlastp
LNU822_H1 5	oil_palm|11v1|SRR190699.168391_P1	1494	3514	566	81.4	globlastp
LNU822_H1 6	zostera|10v1|SRR057351S0024697	1495	3515	566	80	globlastp
LNU823_H1	sorghum|12v1|SB10G008020	1496	3516	567	96.4	globlastp
LNU823_H2	maize|10v1|AI861542_P1	1497	3517	567	92.7	globlastp
LNU823_H2 0	switchgrass|12v1|FE618890_P1	1498	3518	567	90.6	globlastp
LNU823_H2 1	switchgrass|12v1|FE626264_P1	1499	3518	567	90.6	globlastp
LNU823_H3	switchgrass|gb167|FE618890	1500	3518	567	90.6	globlastp
LNU823_H4	cynodon|10v1|ES300242_P1	1501	3519	567	89.6	globlastp
LNU823_H5	foxtail_millet|11v3|PHY7SI007340M_P1	1502	3520	567	89.1	globlastp
LNU823_H6	lovegrass|gb167|EH186334_P1	1503	3521	567	87	globlastp
LNU823_H7	millet|10v1|EV0454PM08428 6_P1	1504	3522	567	86.5	globlastp
LNU823_H8	rice|11v1|BE230397	1505	3523	567	86	globlastp
LNU823_H9	sugarcane|10v1|CA098201	1506	3524	567	84.9	globlastp
LNU823_H1 0	leymus|gb166|CD808583_P1	1507	3525	567	83.5	globlastp
LNU823_H1 1	wheat|12v3|BE416640	1508	3526	567	83.5	globlastp
LNU823_H1 2	pseudoroegneria|gb167|FF347817	1509	3527	567	83	globlastp
LNU823_H1 3	cenchrus|gb166|EB656741_P1	1510	3528	567	82.8	globlastp
LNU823_H1 4	barley|12v1|BE603265-P1	1511	3529	567	82.5	globlastp
LNU823_H1 5	oat|11v1|GO588574_P1	1512	3530	567	81.9	globlastp
LNU823_H1 6	brachypodium|12v1|BRADI1G45240_P1	1513	3531	567	81.8	globlastp
LNU823_H1 7	rye|12v1|BE495527	1514	3532	567	81.6	globlastp
LNU823_H1 8	rye|12v1|BE587517	1515	3532	567	81.6	globlastp
LNU823_H1 9	lolium|10v1|ES700436_P1	1516	3533	567	80.3	globlastp
LNU824_H1	maize|10v1|BE575106_P1	1517	3534	568	97.8	globlastp
LNU824_H5	millet|10v1|EVO454PM005683_P1	1518	3535	568	95.2	globlastp
LNU824_H2 1	maize|10v1|BE056872_P1	1519	3536	568	89.4	globlastp
LNU824_H2 7	wheat|12v3|BE400910	1520	3537	568	88	globlastp
LNU824_H2 8	wheat|12v3|SRR073322X587000D1	1521	3538	568	88	globlastp
LNU824_H2 9	rye|12v1|DRR001012.606957	1522	3539	568	87.96	glotblastn
LNU824_H3 0	wheat|12v3|BQ483480	1523	3540	568	87.7	globlastp
LNU824_H3 7	poplar|10v1|BI139016	1524	3541	568	81.3	globlastp
LNU824_H3 7	poplar|13v1|BI139016_P1	1525	3541	568	81.3	globlastp
LNU824_H4 2	tripterygium|11v1|SRR098677X102165	1526	3542	568	80.78	glotblastn
LNU824_H4 7	banana|12v1|MAGEN2012015228_P1	1527	3543	568	80.5	globlastp
LNU824_H4 9	platanus|11v1|SRR096786X106999­_T1	1528	3544	568	80.45	glotblastn
LNU828_H1	sorghum|12v1|SB01G037440	1529	3545	570	93.9	globlastp
LNU828_H2	sugarcane|10v1|CA069736	1530	3546	570	93.3	globlastp
LNU828_H3	maize|10v1|BI991815_P1	1531	3547	570	88.2	globlastp
LNU828_H4	foxtail_millet|11v3|EC613572_P1	1532	3548	570	87.5	globlastp
LNU828_H1 0	switchgrass|12v1|FE628831_ P1	1533	3549	570	86.9	globlastp
LNU828_H5	switchgrass|gb167|FE628831	1534	3549	570	86.9	globlastp
LNU828_H1 1	switchgrass|12v1|FE635562_P1	1535	3550	570	86.6	globlastp
LNU828_H6	switchgrass|gb167|FE635562	1536	3550	570	86.6	globlastp
LNU828_H7	millet|10v1|EVO454PM010680_P1	1537	3551	570	84.3	globlastp
LNU828_H8	rice|11v1|BF430629	1538	3552	570	80.9	globlastp
LNU828_H9	cenchrus|gb166|BM084141_P1	1539	3553	570	80.8	globlastp
LNU829_H1	sorghum|12v1|SB10G002790	1540	3554	571	94.5	globlastp
LNU829_H4	foxtail_millet|11v3|PHY7SI007445M_P1	1541	3555	571	93.8	globlastp
LNU700_H2	switchgrass|12v1|FE646787_T1	1542	3556	571	92.47	glotblastn
LNU829_H5	switchgrass|gb167|FL894055	1543	-	571	91.1	glotblastn
LNU830_H1	sorghum|12v1|SB05G022780	1544	3557	572	96.9	globlastp
LNU830_H2	foxtail_millet|11v3|PHY7SI025963M_P1	1545	3558	572	96.2	globlastp
LNU830_H3	maize|10v1|CD942361_P1	1546	3559	572	95.8	globlastp
LNU830_H1 3	switchgrass|12v1|FL692292_T1	1547	3560	572	94.72	glotblastn
LNU830_H1 4	switchgrass|12v1|FL694591_P1	1548	3561	572	94.5	globlastp
LNU830_H4	rice|11v1|BE039844	1549	3562	572	91.9	globlastp
LNU830_H5	brachypodium|12v1|BRADI4G15130_P1	1550	3563	572	90.5	globlastp
LNU830_H6	rye|12v1|DRR001012.122402	1551	3564	572	89.7	globlastp
LNU830_H7	wheat|12v3|BJ292957	1552	3565	572	89.6	globlastp
LNU830_H8	millet|10v1|EVO454PM046481_P1	1553	3566	572	88.7	globlastp
LNU830_H9	wheat|12v3|SRR400820X1166902D1	1554	3567	572	88.31	glotblastn
LNU830_H1 0	wheat|12v3|CA640921	1555	3568	572	86.1	globlastp
LNU830_H1 1	rye|12v1|DRR001013.178186	1556	3569	572	85.62	glotblastn
LNU830_H1 2	wheat|12v3|BJ299341	1557	3570	572	80.7	globlastp
LNU832_H3	switchgrass|12v1|FL740797_T1	1558	3571	574	83.82	glotblastn
LNU832_H1	foxtail_millet|11v3|PHY7SI005129M_T1	1559	3572	574	83.82	glotblastn
LNU833_H2	switchgrasslgb167|FE608977	1560	3573	575	87.3	globlastp
LNU833_H4	switchgrass|12v1|FL864642_P1	1561	3574	575	87.1	globlastp
LNU834_H3	switchgrass|12v1|FE628655_P1	1562	3575	576	88.5	globlastp
LNU834_H4	switchgrass|12v1|FL721897_P1	1563	3576	576	87.1	globlastp
LNU834_H2	foxtail_millet|11v3|PHY7SI032419M_P1	1564	3577	576	84.2	globlastp
LNU835_H1	sorghum|12v1|SB03G036980	1565	3578	577	92.7	globlastp
LNU835_H2	foxtail_millet|11v3|PHY7SI001322M_P1	1566	3579	577	87.8	globlastp
LNU835_H3	switchgrass|12v1|FL816691_P1	1567	3580	577	86	globlastp
LNU835_H4	switchgrass|12v1|DN148836_T1	1568	3581	577	82.43	glotblastn
LNU837_H1	sugarcane|10v1|CA099580	1569	3582	578	93.6	globlastp
LNU837_H3	sorghum|12v1|SB01G044830	1570	3583	578	89.7	globlastp
LNU837_H2	foxtail_millet|11v3|PHY7SI036841M_P1	1571	3584	578	81.3	globlastp
LNU838_H1	sorghum|12v1|SB08G016060	1572	3585	579	81.4	globlastp
LNU838_H2	foxtail_millet|11v3|PHY7SI022177M_P1	1573	3586	579	80	globlastp
LNU839_H1	sorghum|12v1|SB01G035480	1574	3587	580	94.7	globlastp
LNU839_H6	switchgrass|12v1|FL711007_P1	1575	3588	580	92.7	globlastp
LNU839_H2	foxtail_millet|11v3|PHY7SI034579M_P1	1576	3589	580	90.9	globlastp
LNU839_H3	switchgrass|gb167|FL711007	1577	3590	580	90.26	glotblastn
LNU839_H7	switchgrass|12v1|FL913070_P1	1578	3591	580	88.6	globlastp
LNU839_H4	barley|12v1|AK365006_P1	1579	3592	580	83.1	globlastp
LNU839_H5	rice|11v1|CI197575	1580	3593	580	82.7	globlastp
LNU840_H1	maize|10v1|GRMZM2G126856T01_T1	1581	3594	581	89.53	glotblastn
LNU840_H2	sorghum|12v1|SB01G012580	1582	3595	581	83.58	glotblastn
LNU840_H3	switchgrass|12v1|SRR187767. 717986_P1	1583	3596	581	82.2	globlastp
LNU841_H1	sorghum|12v1|SB08G017100	1584	3597	582	94.3	globlastp
LNU841_H2	sorghum|12v1|XM_002442210	1585	3597	582	94.3	globlastp
LNU841_H3	foxtail_millet|11v3|PHY7SI023738M_P1	1586	3598	582	93.3	globlastp
LNU841_H4	foxtail_millet|11v3|PHY7SI02 3743M_P1	1587	3599	582	93.3	globlastp
LNU841_H1 7	switchgrass|12v1|SRR187766.726682_P1	1588	3600	582	92.3	globlastp
LNU841_H5	sorghum|12v1|SB08G017170	1589	3601	582	90.6	globlastp
LNU841_H1 8	switchgrass|12v1|SRR187768.166352_P1	1590	3602	582	90.4	globlastp
LNU841_H1 9	switchgrass|12v1|FL882657_P1	1591	3603	582	89.4	globlastp
LNU841_H2 0	switchgrass|12v1|SRR187769. 1407427_P1	1592	3604	582	86.7	globlastp
LNU841_H6	maize|10v1|GRMZM2G303536T01_P1	1593	3605	582	84.9	globlastp
LNU841_H7	cynodon|10v1|ES306830_P1	1594	3606	582	84.6	globlastp
LNU841_H8	wheat|12v3|CA658370	1595	3607	582	83.8	globlastp
LNU841_H9	barley|12v1|HV12v1CRP170116_P1	1596	3608	582	82.9	globlastp
LNU841_H1 0	rice|11v1|BI118730	1597	3609	582	82.9	globlastp
LNU841_H1 1	rye|12v1|DRR001012.239987	1598	3608	582	82.9	globlastp
LNU841_H1 2	brachypodium|12v1|BRADI4 G05620_P1	1599	3610	582	81.9	globlastp
LNU841_H1 3	cynodon|10v1|ES298100_P1	1600	3611	582	81.7	globlastp
LNU841_H1 4	rye|12v1|DRR001012.383938	1601	3612	582	81.7	globlastp
LNU841_H2 1	switchgrass|12v1|SRR187771. 1169651_P1	1602	3613	582	81.2	globlastp
LNU841_H1 5	brachypodium|12v1|BRADI4G05650_P1	1603	3614	582	81	globlastp
LNU841_H2 2	switchgrass|12v1|SRR187769. 117822_P1	1604	3615	582	80.8	globlastp
LNU841_H1 6	pseudoroegneria|gb167|FF355 748	1605	3616	582	80.8	globlastp
LNU843_H2	foxtail_millet|11v3|PHY7SI005850M_P1	1606	3617	583	83.6	globlastp
LNU843_H1	sorghum|12v1|SB10G014220	1607	3618	583	83.4	globlastp
LNU843_H3	barley|12v1|BJ449862_P1	1608	3619	583	80.1	globlastp
LNU844_H1	sorghum|12v1|SB06G023170	1609	3620	584	86.7	globlastp
LNU844_H7	switchgrass|12v1|FE634672_P1	1610	3621	584	84	globlastp
LNU844_H8	switchgrass|12v1|FL828787_P1	1611	3622	584	83.7	globlastp
LNU844_H2	switchgrass|gb167|FE634672	1612	3623	584	83.6	globlastp
LNU844_H3	foxtail_millet|11v3|PHY7SI010995M_P1	1613	3624	584	81.3	globlastp
LNU844_H4	millet|10v1|EVO454PM170895_P1	1614	3625	584	81	globlastp
LNU844_H5	brachypodium|12v1|BRADI5G16300_T1	1615	3626	584	80.59	glotblastn
LNU844_H6	maize|10v1|CF632136_P1	1616	3627	584	80	globlastp
LNU845_H1	sorghum|12v1|SB02G039730	1617	3628	585	91	globlastp
LNU890_H1	sugarcane|10v1|CA092661	1618	3629	586	80.5	globlastp
LNU890_H1	sugarcane|10v1|CA092661	1618	3629	625	88.1	globlastp
LNU849_H1	rice|11v1|AF140491	1619	3630	589	98.67	glotblastn
LNU849_H2	barley|12v1|BM443537_P1	1620	3631	589	87.5	globlastp
LNU849_H3	leymus|gb166|EG396571_P1	1621	3632	589	87.5	globlastp
LNU849_H4	maize|10v1|AI746262_P1	1622	3633	589	86.7	globlastp
LNU849_H5	foxtail_millet|11v3|PHY7SI002848M_P1	1623	3634	589	86.6	globlastp
LNU849_H6	pseudoroegneria|gb167|FF366817	1624	3635	589	86.6	globlastp
LNU849_H7	rye|12v1|BE587488	1625	3636	589	86.6	globlastp
LNU849_H8	rye|12v1|DRR001012.10525	1626	3636	589	86.6	globlastp
LNU849_H9	sugarcane|10v1|CA065802	1627	3637	589	86.6	globlastp
LNU849_H1 0	wheat|12v3|BQ483162	1628	3638	589	86.6	globlastp
LNU849_H1 7	switchgrass|12v1|FE636162_P1	1629	3639	589	86.2	globlastp
LNU849_H1 1	sorghum|12v1|SB03G030650	1630	3640	589	86.2	globlastp
LNU849_H1 8	switchgrass|12v1|FE625302_P1	1631	3641	589	85.7	globlastp
LNU849_H1 2	switchgrass|gb167|FE625301	1632	3642	589	85.7	globlastp
LNU849_H1 3	brachypodium|12v1|BRADI2G46060_P1	1633	3643	589	85.3	globlastp
LNU849_H1 4	oat|11v1|GR357640_T1	1634	3644	589	82.59	glotblastn
LNU849_H1 5	millet|10v1|EVO454PM504671_P1	1635	3645	589	80.8	globlastp
LNU849_H1 9	switchgrass|12v1|FL757304_T1	1636	3646	589	80.36	glotblastn
LNU849_H1 6	switchgrass|gb167|FL757304	1637	3646	589	80.36	glotblastn
LNU850_H1	maize|10v1|AI677001_P1	1638	3647	590	80.2	globlastp
LNU852_H1	brachypodium|12v1|BRADI5G21580_P1	1639	3648	592	82	globlastp
LNU852_H2	oat|11v1|GR321105_P1	1640	3649	592	81.8	globlastp
LNU852_H3	barley|12v1|BF630808_P1	1641	3650	592	81.7	globlastp
LNU852_H4	pseudoroegneria|gb167|FF354586	1642	3651	592	80.9	globlastp
LNU852_H5	wheat|12v3|BE403524	1643	3652	592	80.7	globlastp
LNU854_H1	rice|11v1|AA752561	1644	3653	594	95.94	glotblastn
LNU854_H2	maize|10v1|AW330902_P1	1645	3654	594	90.8	globlastp
LNU854_H3	sorghum|12v1|SB01G007880	1646	3655	594	90.8	globlastp
LNU854_H2 2	switchgrass|12v1|FE619859_P1	1647	3656	594	90.1	globlastp
LNU854_H4	wheat|12v3|BG604569	1648	3657	594	90	globlastp
LNU854_H5	rye|12v1|DRR001012.108381	1649	3658	594	87.99	glotblastn
LNU854_H6	switchgrass|gb167|FE619859	1650	3659	594	87.8	globlastp
LNU854_H7	foxtail_millet|11v3|PHY7SI034415M_P1	1651	3660	594	86.4	globlastp
LNU854_H8	banana|12v1|GFXAC186756X17_P1	1652	3661	594	82.9	globlastp
LNU854_H9	banana|12v1|BBS110T3_P1	1653	3662	594	82.7	globlastp
LNU854_H1 0	banana|12v1|MAGEN2012031765_T1	1654	3663	594	81.24	glotblastn
LNU854_H1 1	oak|10v1|CU640269_P1	1655	3664	594	80.3	globlastp
LNU854_H1 2	arabidopsis_1yrata|09v1|JGIAL026584_P1	1656	3665	594	80.2	globlastp
LNU854_H1 3	b_juncea|12v1|E6ANDIZ01BGQGU_P1	1657	3666	594	80.2	globlastp
LNU854_H1 4	b_rapa|11v1|CD832802_P1	1658	3666	594	80.2	globlastp
LNU854_H1 5	canola|11v1|EE459921_P1	1659	3666	594	80.2	globlastp
LNU854_H1 6	eucalyptus|11v2|SRR001659X91383_P1	1660	3667	594	80.2	globlastp
LNU854_H1 7	b_juncea|12v1|AJ561120_P1	1661	3668	594	80.1	globlastp
LNU854_H1 8	phalaenopsis|11v1|SRR125771.100605_P1	1662	3669	594	80.1	globlastp
LNU854_H1 9	arabidopsis|10v1|AT4G16370_T1	1663	3670	594	80.05	glotblastn
LNU854_H2 0	solanum_phureja|09v1|SPHAI 774365	1664	3671	594	80.05	glotblastn
LNU854_H2 1	thellungiella_parvulum|11v1|BY803192	1665	3672	594	80	glotblastn
LNU856_H2	switchgrass|gb167|FE644937	1666	3673	595	91.45	glotblastn
LNU856_H7	maize|10v1|BM896061_P1	1667	3674	595	87.9	globlastp
LNU861_H1	foxtail_millet|11v3|PHY7SI013407M_T1	1668	3675	598	97.26	glotblastn
LNU861_H2	maize|10v1|CD438306_T1	1669	3676	598	94.32	glotblastn
LNU861_H4	rice|11v1|CK071575	1670	3677	598	89.82	glotblastn
LNU861_H5	rice|11v1|SOLX00081332	1671	3677	598	89.82	glotblastn
LNU861_H6	brachypodium|12v1|BRADI3G37580_T1	1672	3678	598	89.67	glotblastn
LNU861_H7	rye|12v1|DRR001012.202554	1673	3679	598	89.28	glotblastn
LNU861_H8	barley|12v1|CA028638_T1	1674	3680	598	89.24	glotblastn
LNU861_H9	rice|11v1|CA756830	1675	3681	598	82.97	glotblastn
LNU861_H1 0	rice|11v1|CK008076	1676	3682	598	82.97	glotblastn
LNU861_H1 1	foxtail_millet|11v3|PHY7SI031891M_T1	1677	3683	598	82.36	glotblastn
LNU861_H1 2	wheat|12v3|SRR073321X296 640D1	1678	3684	598	81.5	globlastp
LNU861_H1 3	barley|12v1|CA008529_T1	1679	3685	598	81.41	glotblastn
LNU861_H1 4	maize|10v1|DN222557_T1	1680	3686	598	80.93	glotblastn
LNU861_H1 5	brachypodium|12v1|BRADI4G31270_T1	1681	3687	598	80.58	glotblastn
LNU861_H1 6	sorghum|12v1|SB02G025750	1682	3688	598	80.5	glotblastn
LNU861_H1 7	maize|10v1|EE160122_T1	1683	3689	598	80.15	glotblastn
LNU862_H1	sorghum|12v1|SB08G001030	1684	3690	599	94.5	globlastp
LNU862_H3	foxtail_millet|11v3|PHY7SI009715M_P1	1685	3691	599	93.8	globlastp
LNU862_H2	switchgrass|gb167|FL705388	1686	3692	599	93.7	globlastp
LNU862_H1 6	switchgrass|12v1|FE626506_P1	1687	3693	599	93.3	globlastp
LNU862_H6	foxtail_millet|11v3|PHY7SI026163M_P1	1688	3694	599	92.8	globlastp
LNU862_H7	millet|10v1|EVO454PM031355_P1	1689	3695	599	91.9	globlastp
LNU862_H5	millet|10v1|EVO454PM017321_P1	1690	3696	599	90.2	globlastp
LNU862_H4	maize|10v1|CO449955_P1	1691	3697	599	89.5	globlastp
LNU862_H8	rice|11v1|BI806647	1692	3698	599	87.7	globlastp
LNU862_H9	rice|11v1|CK041467	1693	3699	599	86.82	glotblastn
LNU862_H1 2	wheat|12v3|BE424023	1694	3700	599	82.5	globlastp
LNU862_H1 1	brachypodium|12v1|BRADI4G26590_P1	1695	3701	599	82.3	globlastp
LNU862_H1 4	rye|12v1|DRR001012.223104	1696	3702	599	82	globlastp
LNU864_H1	sugarcane|10v1|CA284192	1697	3703	600	88.1	globlastp
LNU864_H2	maize|10v1|BG841837_P1	1698	3704	600	83.3	globlastp
LNU864_H3	maize|10v1|BM074912_P1	1699	3705	600	82	globlastp
LNU864_H4	switchgrass|gb167|FL763699	1700	3706	600	82	globlastp
LNU864_H7	switchgrass|12v1|FL763699_T1	1701	3707	600	81.97	glotblastn
LNU864_H5	foxtail_millet|11v3|PHY7SI003614M_T1	1702	3708	600	80	glotblastn
LNU864_H6	foxtail_millet|11v3|SOLX00021347_T1	1703	-	600	80	glotblastn
LNU865_H4	switchgrass|12v1|FL867036_P1	1704	3709	601	90.7	globlastp
LNU865_H5	switchgrass|12v1|FL693600_P1	1705	3710	601	90.1	globlastp
LNU865_H1	foxtail_millet|11v3|PHY7SI019927M_P1	1706	3711	601	89.6	globlastp
LNU865_H2	maize|10v1|AW056335_P1	1707	3712	601	87	globlastp
LNU865_H3	brachypodium|12v1|BRADI3G55730_P1	1708	3713	601	80.6	globlastp
LNU867_H1	maize|10v1|AI622284_P1	1709	3714	603	95.4	globlastp
LNU867_H2	foxtail_millet|11v3|PHY7SI034422M_P1	1710	3715	603	91.4	globlastp
LNU867_H6	switchgrass|12v1|FE639293_P1	1711	3716	603	88.8	globlastp
LNU867_H3	rice|11v1|AU065908	1712	3717	603	85.1	globlastp
LNU867_H4	brachypodium|12v1|BRADI1G04830_P1	1713	3718	603	84.5	globlastp
LNU867_H5	rye|12v1|DRR001012.163223	1714	3719	603	83.4	globlastp
LNU867_H7	switchgrass|12v1|DN143060_T1	1715	3720	603	80.57	glotblastn
LNU868_H1	sugarcane|10v1|CA093083	1716	3721	604	89.96	glotblastn
LNU868_H2	maize|10v1|AI947616_P1	1717	3722	604	89.2	globlastp
LNU868_H9	switchgrass|12v1|FL739389_P1	1718	3723	604	88.8	globlastp
LNU868_H3	foxtail_millet|11v3|PHY7SI037194M_P1	1719	3724	604	88.8	globlastp
LNU868_H4	switchgrass|gb167|FL739389	1720	3723	604	88.8	globlastp
LNU868_H5	cenchrus|gb166|BM084505_P 1	1721	3725	604	88	globlastp
LNU868_H6	switchgrass|gb167|FL693838	1722	3726	604	88	globlastp
LNU868_H1 0	switchgrass|12v1|FL693838_T1	1723	3727	604	87.95	glotblastn
LNU868_H7	millet|10v1|PMSLX0030911D1_P1	1724	3728	604	86.7	globlastp
LNU868_H8	rice|11v1|OSU16747	1725	3729	604	80.6	globlastp
LNU869_H1	maize|10v1|BM266786_T1	1726	3730	605	84.71	glotblastn
LNU870_H2	maize|10v1|CB616889_P1	1727	3731	606	93.7	globlastp
LNU870_H5	switchgrass|12v1|FL933190_P1	1728	3732	606	89.8	globlastp
LNU870_H6	switchgrass|12v1|FL689654_P1	1729	3733	606	89	globlastp
LNU870_H3	maize|10v1|DR811947_P1	1730	3734	606	87.3	globlastp
LNU870_H4	brachypodium|12v1|BRADI1 G07390_P1	1731	3735	606	83.6	globlastp
LNU870_H7	rice|11v1|GFXAC107207X23 _P1	1732	3736	606	80.8	globlastp
LNU871_H1	sugarcane|10v1|CA073953	1733	3737	607	97.59	glotblastn
LNU871_H2	maize|10v1|H35900_P1	1734	3738	607	97	globlastp
LNU871_H3	foxtail_millet|11v3|PHY7SI035239M_P1	1735	3739	607	92.2	globlastp
LNU871_H4	millet|10v1|EVO454PM012409_P1	1736	3740	607	90.8	globlastp
LNU871_H5	brachypodium|12v1|BRADI3G38220_P1	1737	3741	607	88.8	globlastp
LNU871_H6	switchgrass|gb167|DN150454	1738	3742	607	88.2	globlastp
LNU871_H1 0	switchgrass|12v1|DN150454_P1	1739	3743	607	88	globlastp
LNU871_H7	wheat|12v3|CA663733	1740	3744	607	84.8	globlastp
LNU871_H8	wheat|12v3|BQ240433	1741	3745	607	84.6	globlastp
LNU871_H9	rye|12v1|DRR001012.137460	1742	3746	607	84.34	glotblastn
LNU872_H1	sugarcane|10v1|CA074015	1743	3747	608	99	globlastp
LNU872_H2	wheat|12v3|CA486412	1744	3748	608	99	globlastp
LNU872_H3	maize|10v1|T70637_P1	1745	3749	608	96.7	globlastp
LNU872_H4	maize|10v1|AI714486_P1	1746	3750	608	95.7	globlastp
LNU872_H5	switchgrass|gb167|FL766492	1747	3751	608	94.4	globlastp
LNU872_H6	cenchrus|gb166|BM083980_P1	1748	3752	608	93.9	globlastp
LNU872_H7	millet|10v1|CD724561_P1	1749	3753	608	93.9	globlastp
LNU872_H8	foxtail_millet|11v3|PHY7SI037482M_P1	1750	3754	608	92.9	globlastp
LNU872_H9	switchgrass|gb167|FE626012	1751	3755	608	91.6	globlastp
LNU872_H1 0	oat|11v1|GO591754_P1	1752	3756	608	88.7	globlastp
LNU872_H1 1	rye|12v1|DRR001012.107218XX1	1753	3757	608	88.7	globlastp
LNU872_H1 2	rye|12v1|DRR001012.112003	1754	3757	608	88.7	globlastp
LNU872_H1 3	cynodon|10v1|ES292020_P1	1755	3758	608	88.6	globlastp
LNU872_H1 4	rice|11v1|BI806552	1756	3759	608	88.3	globlastp
LNU872_H1 5	barley|12v1|BE412496_P1	1757	3760	608	87.8	globlastp
LNU872_H1 6	wheat|12v3|BE430362	1758	3761	608	87.8	globlastp
LNU872_H1 7	pseudoroegneria|gb167|FF346564	1759	3762	608	87.3	globlastp
LNU872_H1 8	brachypodium|12v1|BRADI1G11830_P1	1760	3763	608	87.1	globlastp
LNU872_H1 9	lovegrass|gb167|EH183935_T1	1761	3764	608	85.51	glotblastn
LNU873_H1	maize|10v1|CD969989_Pl	1762	3765	609	88.7	globlastp
LNU873_H2	foxtail_millet|1 1v3|PHY7SI038649M_P1	1763	3766	609	83.1	globlastp
LNU873_H4	switchgrass|12vl |FL842367_ T1	1764	3767	609	82.55	glotblastn
LNU873_H5	switchgrass|12v1|FL842366_P1	1765	3768	609	82.1	globlastp
LNU873_H3	foxtail_millet|11v3|SIPRD087917_T1	1766	3769	609	81.03	glotblastn
LNU874_H1	maize|10v1|AW308694_P1	1767	3770	610	97	globlastp
LNU874_H2	foxtail_millet|11v3|PHY7SI033940M_P1	1768	3771	610	93.6	globlastp
LNU874_H3	brachypodium|12v1|BRADI1G15377_P1	1769	3772	610	88.1	globlastp
LNU874_H4	wheat|12v3|BM137286	1770	3773	610	87.6	globlastp
LNU874_H5	rice|11v1|BI797720	1771	3774	610	86.3	globlastp
LNU874_H6	wheat|12v3|SRR043326X71705D1	1772	3775	610	80.7	globlastp
LNU875_H1	maize|10v1|AI600310_P1	1773	3776	611	96.3	globlastp
LNU875_H2	foxtail_millet|11v3|PHY7SI034375M_P1	1774	3777	611	92.2	globlastp
LNU875_H9	switchgrass|12v1|FL692975_P1	1775	3778	611	91.7	globlastp
LNU875_H3	rice|11v1|GFXAC025296X19	1776	3779	611	86.9	globlastp
LNU875_H4	rye|12v1|DRR001012.181409	1777	3780	611	86.3	globlastp
LNU875_H5	wheat|12v3|CA609528	1778	3781	611	86.2	globlastp
LNU875_H6	wheat|12v3|CJ953973	1779	3782	611	86.2	globlastp
LNU875_H7	wheat|12v3|BE417057	1780	3783	611	85.8	globlastp
LNU875_H8	brachypodium|12v1|BRADI3G30830_P1	1781	3784	611	84.5	globlastp
LNU878_H1	foxtail_millet|11v3|PHY7SI038002M_P1	1782	3785	613	96.2	globlastp
LNU878_H2	maize|10v1|BE511455_P1	1783	3786	613	95.5	globlastp
LNU878_H1 6	switchgrass|12v1|DN141295_P1	1784	3787	613	94.7	globlastp
LNU878_H3	maize|10v1|AI947516_P1	1785	3788	613	94.7	globlastp
LNU878_H4	millet|10v1|EVO454PM069646_P1	1786	3789	613	94.7	globlastp
LNU878_H5	switchgrass|gb167|DN141295	1787	3787	613	94.7	globlastp
LNU878_H6	sugarcane|10v1|CA084602	1788	3790	613	94	globlastp
LNU878_H7	switchgrass|gb167|FE658531	1789	3791	613	94	globlastp
LNU878_H8	cenchrus|gb166|EB665787_T1	1790	3792	613	90.98	glotblastn
LNU878_H9	rice|11v1|BE040893	1791	3793	613	84.4	globlastp
LNU878_H1 0	pseudoroegnerialgb167|FF366886	1792	3794	613	82.2	globlastp
LNU878_H1 1	brachypodium|12v1|BRADI1G62860_P1	1793	3795	613	81.6	globlastp
LNU878_H1 2	barley| 12v1 IBE455249_P1	1794	3796	613	80.9	globlastp
LNU878_H1 3	pseudoroegnerialgb167|FF349713	1795	3797	613	80.9	globlastp
LNU878_H1 4	rye|12v1|BE636984	1796	3798	613	80.7	globlastp
LNU878_H1 5	wheat|12v3|CA655678	1797	3799	613	80.7	globlastp
LNU879_H1	sugarcane|10v1|CA112170	1798	3800	614	96.8	globlastp
LNU879_H2	maize|10v1|BG517175_P1	1799	3801	614	95.5	globlastp
LNU879_H3	cynodon|10v1|ES301377_P1	1800	3802	614	89	globlastp
LNU879_H4	wheat|12v3|BE426554	1801	3803	614	84	globlastp
LNU879_H8	switchgrass|12v1|HO253185_T1	1802	3804	614	83.18	glotblastn
LNU879_H5	rice|11v1|BI306445	1803	3805	614	83	globlastp
LNU879_H6	barley|12v1|BJ454262_P1	1804	3806	614	82.2	globlastp
LNU879_H7	brachypodium|12v1|BRADI1G67110_P1	1805	3807	614	81.7	globlastp
LNU880_H1	sugarcane|10v1ICA065186	1806	3808	615	96.5	globlastp
LNU880_H2	maize|10v1|AI600362_P1	1807	3809	615	95.1	globlastp
LNU880_H3	foxtail_millet|11v3|PHY7SI035863M_P1	1808	3810	615	94.3	globlastp
LNU880_H1 0	switchgrass|12v1|FE601297_P1	1809	3811	615	93.6	globlastp
LNU880_H4	switchgrass|gb167IFE601297	1810	3812	615	92.9	globlastp
LNU880_H1 1	switchgrass|12v1|FL761681_P1	1811	3813	615	91.7	globlastp
LNU880_H5	brachypodium|12v1|BRADI1 G74650_P1	1812	3814	615	82.6	globlastp
LNU880_H6	rice|11v1|BM037902	1813	3815	615	82.6	globlastp
LNU880_H7	wheat|12v3|BF483896	1814	3816	615	81.9	globlastp
LNU880_H8	rye|12v1|DRR001012.109304	1815	3817	615	81.4	globlastp
LNU880_H9	rye|12v1|DRR001012.101331	1816	3818	615	81.2	globlastp
LNU881_H1	maize|10v1|AI622122_P1	1817	3819	616	88.2	globlastp
LNU881_H2	foxtail_millet|11v3|PHY7SI034179M_P1	1818	3820	616	83	globlastp
LNU881_H3	switchgrass|12v1IFE597492_P1	1819	3821	616	80.5	globlastp
LNU882_H1	maize|10v1|BM072852_P1	1820	3822	617	93.7	globlastp
LNU882_H2	foxtail_millet|11v3|EC612475_P1	1821	3823	617	91.9	globlastp
LNU882_H3	millet|10v1|EVO454PM047888_P1	1822	3824	617	91.5	globlastp
LNU882_H4	rice|11v1|BI796737	1823	3825	617	89.4	globlastp
LNU882_H5	barley|12v1|BF064865_P1	1824	3826	617	88.1	globlastp
LNU882_H6	rye|12v1|DRR001012.119640	1825	3827	617	87.6	globlastp
LNU882_H7	brachypodium|12v1|BRADI1G76280_P1	1826	3828	617	86.5	globlastp
LNU883_H1	foxtail_millet|11v3|PHY7SI034726M_P1	1827	3829	618	95.2	globlastp
LNU883_H2	maize|10v1|CO529769_P1	1828	3830	618	94.7	globlastp
LNU883_H3	rice|11v1|BI803402	1829	3831	618	91	globlastp
LNU883_H4	brachypodium|12v1|BRADI1G76640_T1	1830	3832	618	84.29	glotblastn
LNU883_H5	wheat|12v3|CJ904265	1831	3833	618	82.1	globlastp
LNU884_H1	maize|10v1|AI666123_P1	1832	3834	619	91.8	globlastp
LNU884_H4	switchgrass|12v1|FL810399_P1	1833	3835	619	87.6	globlastp
LNU884_H2	switchgrass|gb167|FL692715	1834	3836	619	87.6	globlastp
LNU884_H5	switchgrass|12v1IFL692715_P1	1835	3837	619	86.6	globlastp
LNU884_H3	foxtail_millet|11v3|EC613926_P1	1836	3838	619	85.9	globlastp
LNU885_H1	maize|10v1|AA979999_P1	1837	3839	620	98.9	globlastp
LNU885_H2	maize|10v1|AI932058_P1	1838	3840	620	98.3	globlastp
LNU885_H3	switchgrasslgb167|FE598943	1839	3841	620	98.1	globlastp
LNU885_H1 56	switchgrass|12v1|FE598943_P1	1840	3842	620	97.9	globlastp
LNU885_H4	cenchrus|gb166|EB653919_P 1	1841	3843	620	97.9	globlastp
LNU885_H5	sorghum|12v1|SB10G022220	1842	3844	620	97.9	globlastp
LNU885_H6	foxtail_millet|11v3|PHY7SI006215M_P1	1843	3845	620	97.8	globlastp
LNU885_H1 57	switchgrass|12v1|FE604237_P1	1844	3846	620	97.6	globlastp
LNU885_H7	foxtail_millet|11v3|PHY7SI029447M_P1	1845	3847	620	97.6	globlastp
LNU885_H8	millet|10v1|EVO454PM002715_P1	1846	3848	620	97.6	globlastp
LNU885_H1 58	switchgrass|12v1|FE617027_ P1	1847	3849	620	97.2	globlastp
LNU885_H9	switchgrass|gb167|FE617027	1848	3849	620	97.2	globlastp
LNU885_H1 0	rice|11v1|AA753506	1849	3850	620	95.7	globlastp
LNU885_H1 1	brachypodium|12v1|BRADI1G37790_P1	1850	3851	620	94.6	globlastp
LNU885_H1 2	brachypodium|12v1|BRADI3G33860_P1	1851	3852	620	93.1	globlastp
LNU885_H1 59	switchgrass|12v1|FE603637_P1	1852	3853	620	92.3	globlastp
LNU885_H1 3	strawberry|11v1|CO381502	1853	3854	620	92.3	globlastp
LNU885_H1 4	oat|11v1|CN815217_P1	1854	3855	620	92.1	globlastp
LNU885_H1 5	potato|10v1|BG593674_P1	1855	3856	620	92.1	globlastp
LNU885_H1 6	tomato|11v1|BG129608	1856	3857	620	92.1	globlastp
LNU885_H1 7	liriodendron|gb166|CK755344_P1	1857	3858	620	92	globlastp
LNU885_H1 8	oat|11v1|CN817660_P1	1858	3859	620	92	globlastp
LNU885_H1 9	oil_palm|11v1|EL684287_P1	1859	3860	620	92	globlastp
LNU885_H2 0	tobacco|gb162|BQ842866	1860	3861	620	92	globlastp
LNU885_H2 1	watermelon|11v1IX85013	1861	3862	620	92	globlastp
LNU885_H1 60	nicotiana_benthamiana|12v1|EB446376_P1	1862	3863	620	91.8	globlastp
LNU885_H2 2	cucumber|09v1|X85013_P1	1863	3864	620	91.8	globlastp
LNU885_H2 3	rye|12v1|BG264101	1864	3865	620	91.8	globlastp
LNU885_H2 4	rye|12v1|DRR001012.133776	1865	3865	620	91.8	globlastp
LNU885_H2 5	solanum_phureja|09v1ISPHBG129608	1866	3866	620	91.6	globlastp
LNU885_H2 6	wheat|12v3|BE404507	1867	3867	620	91.6	globlastp
LNU885_H2 7	wheat|12v3|BE406710	1868	3867	620	91.6	globlastp
LNU885_H1 61	prunus_mume|13v1|BU044204_P1	1869	3868	620	91.4	globlastp
LNU885_H2 8	aristolochial|10v1|SRR039082S0002361_T1	1870	3869	620	91.4	glotblastn
LNU885_H2 9	eucalyptus|11v2|CD669053_P 1	1871	3870	620	91.4	globlastp
LNU885_H3 0	oil_palm|11v1|EL681083_P1	1872	3871	620	91.4	globlastp
LNU885_H3 1	peanut|10v1|EE126045_P1	1873	3872	620	91.4	globlastp
LNU885_H3 2	phalaenopsis|11v1ICB032203XX1_P1	1874	3873	620	91.4	globlastp
LNU885_H1 62	monkeyflower|12v1|DV206835_P1	1875	3874	620	91.2	globlastp
LNU885_H3 3	amorphophallus| 11v2|SRR089351X173078_P1	1876	3875	620	91.2	globlastp
LNU885_H3 4	catharanthus|11v1ISRR098691X112848_P1	1877	3876	620	91.2	globlastp
LNU885_H3 5	flaveria|11v1|SRR149229.103924_P1	1878	3877	620	91.2	globlastp
LNU885_H3 6	flaveria|11v1ISRR149229.114493_P1	1879	3877	620	91.2	globlastp
LNU885_H3 7	monkeyflowerl10v1IDV206835	1880	3874	620	91.2	globlastp
LNU885_H3 8	oak|10v1|DN950673_P1	1881	3878	620	91.2	globlastp
LNU885_H3 9	plantago|11v2|SRR066373X102202_P1	1882	3879	620	91.2	globlastp
LNU885_H4 0	wheat|12v3|BE403876	1883	3880	620	91.2	globlastp
LNU885_H4 1	banana|12v1|BBS440T3_P1	1884	3881	620	91	globlastp
LNU885_H4 2	cacao|10v1|CA796831_P1	1885	3882	620	91	globlastp
LNU885_H4 3	cassava|09v1|CK643413_P1	1886	3883	620	91	globlastp
LNU885_H4 4	chestnut|gb170|SRR006295S0006601_P1	1887	3884	620	91	globlastp
LNU885_H4 5	cirsiumll1v1ISRR346952.128271_P1	1888	3885	620	91	globlastp
LNU885_H4 6	lettuce|12v1|DW044389_P1	1889	3886	620	91	globlastp
LNU885_H4 7	prunus|10v1|BU044204	1890	3887	620	91	globlastp
LNU885_H4 8	switchgrasslgb167|FE604237	1891	3888	620	91	globlastp
LNU885_H1 63	castorbean|12v1|T15265_P1	1892	3889	620	90.8	globlastp
LNU885_H4 9	artemisia|10v1|EY033790_P1	1893	3890	620	90.8	globlastp
LNU885_H5 0	cassava|09v1|CK647990_P1	1894	3891	620	90.8	globlastp
LNU885_H5 1	castorbean|11v1|T15265	1895	3889	620	90.8	globlastp
LNU885_H5 2	euphorbial11v1|AW990924_P 1	1896	3892	620	90.8	globlastp
LNU885_H5 3	flaveria|11v1ISRR149232.246685_P1	1897	3893	620	90.8	globlastp
LNU885_H5 4	gossypium_raimondii|12v1|DT557120_P1	1898	3894	620	90.8	globlastp
LNU885_H5 5	grape|11v1|BM437210_P1	1899	3895	620	90.8	globlastp
LNU885_H5 6	soybean|11v1|GLYMA11G37630	1900	3896	620	90.8	globlastp
LNU885_H5 6	soybean|12v1|GLYMA11G37630_P1	1901	3896	620	90.8	globlastp
LNU885_H1 64	olea|13v1|SRR014463X51856D1_P1	1902	3897	620	90.7	globlastp
LNU885_H5 7	apple|11v1|CN490098_P1	1903	3898	620	90.7	globlastp
LNU885_H5 8	clementine|11v1|CF417075_P1	1904	3899	620	90.7	globlastp
LNU885_H5 9	cotton|11v1|AI054652_P1	1905	3900	620	90.7	globlastp
LNU885_H6 0	orange|11v1|CF417075_P1	1906	3899	620	90.7	globlastp
LNU885_H6 1	soybean|11v1|GLYMA18G01580	1907	3901	620	90.7	globlastp
LNU885_H6 1	soybean|12v1|GLYMA1 8G01580_P1	1908	3901	620	90.7	globlastp
LNU885_H6 2	amborella|12v3|FD432979_P1	1909	3902	620	90.5	globlastp
LNU885_H6 3	amsonia|11v1|SRR098688X101304_P1	1910	3903	620	90.5	globlastp
LNU885_H6 4	apple|11v1|CN489384_P1	1911	3904	620	90.5	globlastp
LNU885_H6 5	aquilegia|10v2|DR937313_P1	1912	3905	620	90.5	globlastp
LNU885_H6 6	centaurea|gb166|EH713231_P1	1913	3906	620	90.5	globlastp
LNU885_H6 7	cichorium|gb171|EH673881_P1	1914	3907	620	90.5	globlastp
LNU885_H6 8	cirsium|11v1|SRR346952.1001022_P1	1915	3906	620	90.5	globlastp
LNU885_H6 9	cowpea|12v1|FF387653_P1	1916	3908	620	90.5	globlastp
LNU885_H7 0	eschscholzia|11v1ICD476599_P1	1917	3909	620	90.5	globlastp
LNU885_H7 1	eschscholzia|11v1ICD478545_P1	1918	3910	620	90.5	globlastp
LNU885_H7 2	pigeonpea|11v1ISRR054580X107320_P1	1919	3911	620	90.5	globlastp
LNU885_H7 3	rye|12v1|DRR001012.135185	1920	3912	620	90.5	globlastp
LNU885_H7 4	triphysarial10v1IDR174094	1921	3913	620	90.5	globlastp
LNU885_H1 65	monkeyflower|12v1IDV209559_P1	1922	3914	620	90.3	globlastp
LNU885_H7 5	ambrosia|11v1ISRR346935.112544_P1	1923	3915	620	90.3	globlastp
LNU885_H7 6	ambrosia|11v1ISRR346935.130001_P1	1924	3916	620	90.3	globlastp
LNU885_H7 7	arnica|11v1ISRR099034X108499_P1	1925	3917	620	90.3	globlastp
LNU885_H7 8	banana|12v1|FF558852_P1	1926	3918	620	90.3	globlastp
LNU885_H7 9	blueberry|12v1|CV090498_P1	1927	3919	620	90.3	globlastp
LNU885_H8 0	monkeyflowerl10v1IDV209559	1928	3914	620	90.3	globlastp
LNU885_H8 1	trigonella|11v1ISRR066194X112617	1929	3920	620	90.3	globlastp
LNU885_H8 2	triphysaria|10v1|BM357149	1930	3921	620	90.3	globlastp
LNU885_H8 3	arnica|11v1ISRR099034X107278_T1	1931	3922	620	90.28	glotblastn
LNU885_H8 4	orobanche|10v1ISRR023189S0002711_T1	1932	3923	620	90.28	glotblastn
LNU885_H8 5	ambrosia|11v1ISRR346935.225484_P1	1933	3924	620	90.1	globlastp
LNU885_H8 6	euonymus|11v1|SRR070038X106031_P1	1934	3925	620	90.1	globlastp
LNU885_H8 7	gossypium_raimondii|12v1|AI 725994_P1	1935	3926	620	90.1	globlastp
LNU885_H8 8	medicago|12v1|AW256519_P1	1936	3927	620	90.1	globlastp
LNU885_H8 9	spruce|11v1IEF678303	1937	3928	620	90.1	globlastp
LNU885_H9 0	spruce|11v1IES226997	1938	3929	620	90.1	globlastp
LNU885_H9 1	spruce|11v1IEX358693	1939	3930	620	90.1	globlastp
LNU885_H1 66	bean|12v2|CA898352_P1	1940	3931	620	89.9	globlastp
LNU885_H9 2	bean|12v1|CA898352	1941	3931	620	89.9	globlastp
LNU885_H9 3	beech|11v1ISRR006293.13457_P1	1942	3932	620	89.9	globlastp
LNU885_H9 4	chelidonium|11v1|SRR084752X103249_P1	1943	3933	620	89.9	globlastp
LNU885_H9 5	cotton|11v1|AI725994_P1	1944	3934	620	89.9	globlastp
LNU885_H9 6	lettuce|12v1|DW066578_P1	1945	3935	620	89.9	globlastp
LNU885_H9 7	poppy|11v1|SRR030259.334416_P1	1946	3936	620	89.9	globlastp
LNU885_H9 8	tripterygium|11v1|SRR098677X103558	1947	3937	620	89.9	globlastp
LNU885_H1 67	chickpea|13v2|ES560343_P1	1948	3938	620	89.7	globlastp
LNU885_H9 9	abies|11v2|SRR098676X100633_P1	1949	3939	620	89.7	globlastp
LNU885_H1 00	grape|11v1|GSVIVT01000590001_P1	1950	3940	620	89.7	globlastp
LNU885_H1 01	pine|10v2|AW011601_P1	1951	3941	620	89.7	globlastp
LNU885_H1 02	pseudotsuga|10v1|SRR065119S0006094	1952	3942	620	89.7	globlastp
LNU885_H1 03	safflower|gb162|EL375744	1953	3943	620	89.7	globlastp
LNU885_H1 04	sunflower|12v1|CD851729	1954	3944	620	89.7	globlastp
LNU885_H1 05	vinca|11v1|SRR98690X103497	1955	3945	620	89.7	globlastp
LNU885_H1 06	solanum_phureja|09v1|SPHBE920118	1956	3946	620	89.6	globlastp
LNU885_H1 07	maritime_pine|10v1|BX251751_P1	1957	3947	620	89.5	globlastp
LNU885_H1 08	poppy|11v1|FE964991_P1	1958	3948	620	89.5	globlastp
LNU885_H1 09	radish|gb164|EV546967	1959	3949	620	89.5	globlastp
LNU885_H1 10	valeriana|11v1|SRR099039X104384	1960	3950	620	89.5	globlastp
LNU885_H1 11	cirsium|11v1|SRR346952.209008_P1	1961	3951	620	89.4	globlastp
LNU885_H1 12	b_rapa|11v1|CD827580_P1	1962	3952	620	89.3	globlastp
LNU885_H1 13	canola|11v1|CN735656_P1	1963	3953	620	89.3	globlastp
LNU885_H1 14	canola|11v1|DY011412_P1	1964	3954	620	89.3	globlastp
LNU885_H1 15	canola|11v1|EE444048_P1	1965	3955	620	89.3	globlastp
LNU885_H1 16	poplar|10v1|AI162097	1966	3956	620	89.3	globlastp
LNU885_H1 16	poplar|13v1|AI162097_P1	1967	3956	620	89.3	globlastp
LNU885_H1 17	thellungiella_halophilum|11v1|DN774318	1968	3957	620	89.3	globlastp
LNU885_H118	vinca|11v1|SRR098690X104249	1969	3958	620	89.3	globlastp
LNU885_H1 19	b_juncea|12v1|E6ANDIZ01AULG5_P1	1970	3959	620	89.2	globlastp
LNU885_H1 20	b_rapa|11v1|CD815423_P1	1971	3960	620	89.2	globlastp
LNU885_H1 21	canola|11v1|DY006806_P1	1972	3961	620	89.2	globlastp
LNU885_H1 22	radish|gb164|EW731499	1973	3962	620	89.2	globlastp
LNU885_H1 23	tabernaemontana|11v1|SRR098689X100123	1974	3963	620	89.2	globlastp
LNU885_H1 24	tripterygium|11v1|SRR098677X106478	1975	3964	620	89.2	globlastp
LNU885_H1 25	ambrosia|11v1|SRR346935.160786_T1	1976	3965	620	89.16	glotblastn
LNU885_H1 26	arabidopsis_lyrata|09v1|JGIAL002814_P1	1977	3966	620	89	globlastp
LNU885_H1 27	b_rapa|11v1|CX188616_P1	1978	3967	620	89	globlastp
LNU885_H1 28	canola|11v1|EE459861_T1	1979	3968	620	88.97	glotblastn
LNU885_H1 29	centaurea|gb166|EL934279_T 1	1980	3969	620	88.97	glotblastn
LNU885_H1 30	zostera|10v1|AM769778	1981	3970	620	88.97	glotblastn
LNU885_H1 31	arabidopsis|10v1|AT1G24510_P1	1982	3971	620	88.8	globlastp
LNU885_H1 32	poplar|10v1|BU831685	1983	3972	620	88.8	globlastp
LNU885_H1 32	poplar|13v1|BU824523_P1	1984	3972	620	88.8	globlastp
LNU885_H1 33	sequoia|10v1|SRR065044S00 07458	1985	3973	620	88.8	globlastp
LNU885_H1 34	thellungiella_parvulum|11v1|DN774318	1986	3974	620	88.8	globlastp
LNU885_H1 35	cephalotaxus|11v1|SRR064395X110135_P1	1987	3975	620	88.6	globlastp
LNU885_H1 36	aquilegia|10v2|DR928892_P1	1988	3976	620	88.2	globlastp
LNU885_H1 37	podocarpus|10v1|SRR065014S0010290_P1	1989	3977	620	88.2	globlastp
LNU885_H1 38	sciadopitys|10v1|SRR065035S0017103	1990	3978	620	88.2	globlastp
LNU885_H1 39	barley|12v1|BQ762736_T1	1991	3979	620	88.1	glotblastn
LNU885_H1 40	pteridium|11v1|SRR043594X100385	1992	3980	620	88.04	glotblastn
LNU885_H1 41	beet|12v1|BI543248_P1	1993	3981	620	88	globlastp
LNU885_H1 42	gnetum|10v1|DN954800_T1	1994	3982	620	87.85	glotblastn
LNU885_H1 43	nasturtium|11v1|SRR032558.163106_P1	1995	3983	620	87.3	globlastp
LNU885_H1 44	physcomitrella|10v1|AW145268_P1	1996	3984	620	87.3	globlastp
LNU885_H1 45	onion|12v1|SRR073446X113522D1_P1	1997	3985	620	86.9	globlastp
LNU885_H1 68	zostera|12v1|SRR057351X10529D1_P1	1998	3986	620	86.7	globlastp
LNU885_H1 46	zostera|10v1|SRR057351S0000962	1999	3986	620	86.7	globlastp
LNU885_H1 47	spikemoss|gb165|FE443744	2000	3987	620	86.6	globlastp
LNU885_H1 48	silene|11v1|SRR096785X166572	2001	3988	620	86.5	globlastp
LNU885_H1 49	ceratodon|10v1|SRR074890S0022653_P1	2002	3989	620	86	globlastp
LNU885_H1 50	vinca|11v1|SRR098690X104840	2003	3990	620	85.6	globlastp
LNU885_H1 51	distylium|11v1|SRR065077X10363_T1	2004	3991	620	85.42	glotblastn
LNU885_H1 69	olea|13v1|SRR014463X11934 D1_T1	2005	3992	620	85.23	glotblastn
LNU885_H1 52	flaveria|11v1|SRR149229.10823_P1	2006	3993	620	84.7	globlastp
LNU885_H1 53	taxus|10v1|SRR032523S0062074	2007	3994	620	84.1	globlastp
LNU885_H1 54	switchgrass|gb167|DN151949	2008	3995	620	83.9	globlastp
LNU885_H1 55	spikemoss|gb165|FE436590	2009	3996	620	83.6	globlastp
LNU885_H1 70	nicotiana_benthamiana|12v1|BP752014_P1	2010	3997	620	82.1	globlastp
LNU887_H1	maize|10v1|BG319820_P1	2011	3998	622	90.6	globlastp
LNU887_H2	foxtail_millet|11v3|EC612301_P1	2012	3999	622	84.6	globlastp
LNU887_H4	switchgrass|12v1|FL748385_P1	2013	4000	622	82.5	globlastp
LNU887_H3	switchgrass|gb167|FL748385	2014	4001	622	81.4	glotblastn
LNU887_H5	switchgrass|12v1|GD046086_P1	2015	4002	622	80.7	globlastp
LNU888_H1	wheat|12v3|CD491419	2016	623	623	100	globlastp
LNU888_H2	sugarcane|10v1|CA111963	2017	4003	623	92.3	globlastp
LNU888_H6	switchgrass|12v1|SRR187765. 216058_P1	2018	4004	623	91.3	globlastp
LNU888_H3	foxtail_millet|11v3|EC613111_P1	2019	4005	623	91.3	globlastp
LNU888_H4	foxtail_millet|11v3|PHY7SI032010M_P1	2020	4006	623	91.3	globlastp
LNU888_H5	maize|10v1|BM379136_P1	2021	4007	623	91.3	globlastp
LNU888_H7	switchgrass|12v1|SRR187769.1154845_P1	2022	4008	623	89.4	globlastp
LNU888_H8	switchgrass|12v1|DN149585_T1	2023	4009	623	84.62	glotblastn
LNU889_H1	maize|10v1|AI966901_P1	2024	4010	624	87.1	globlastp
LNU889_H3	switchgrass|12v1|SRR187768. 382752_P1	2025	4011	624	82	globlastp
LNU889_H4	switchgrass|12v1|SRR187766. 665224_P1	2026	4012	624	80.9	globlastp
LNU889_H2	switchgrass|gb167|FE616994	2027	4013	624	80.9	globlastp
LNU892_H1	sorghum|12v1|SB02G033220	2028	4014	626	95.7	globlastp
LNU892_H2	maize|10v1|AI619171_P1	2029	4015	626	92.7	globlastp
LNU892_H3	sorghum|12v1|SB02G033200	2030	4016	626	90.4	globlastp
LNU892_H4	foxtail_millet|11v3|PHY7SI029552M_P1	2031	4017	626	86.5	globlastp
LNU892_H7	switchgrass|12v1|SRR187765. 29978_P1	2032	4018	626	86.1	globlastp
LNU892_H8	switchgrass|12v1|GD022360_P1	2033	4019	626	85.5	globlastp
LNU892_H5	foxtail_millet|11v3|PHY7SI029584M_P1	2034	4020	626	85.3	globlastp
LNU892_H6	foxtail_millet|11v3|PHY7SI029578M_P1	2035	4021	626	81.8	globlastp
LNU893_H1 3	switchgrass|12v1|FL793626_P1	2036	4022	627	98.6	globlastp
LNU893_H1 4	switchgrass|12v1|SRR187771. 339181_P1	2037	4022	627	98.6	globlastp
LNU893_H1	switchgrass|gb167|FL793626	2038	4022	627	98.6	globlastp
LNU893_H2	barley|12v1|AW982181_P1	2039	4023	627	97.3	globlastp
LNU893_H3	foxtail_millet|11v3|PHY7SI031280M_P1	2040	4024	627	97.3	globlastp
LNU893_H4	maize|10v1|BG517269_P1	2041	4025	627	97.3	globlastp
LNU893_H5	millet|10v1|EV0454PM670348_P1	2042	4024	627	97.3	globlastp
LNU893_H6	rye|12v1|BE495982	2043	4023	627	97.3	globlastp
LNU893_H7	wheat|12v3|CA728398	2044	4023	627	97.3	globlastp
LNU893_H8	fescue|gb161|DT686545_P1	2045	4026	627	95.9	globlastp
LNU893_H9	lolium|10v1|AU246324_P1	2046	4026	627	95.9	globlastp
LNU893_H1 0	rice|11v1|CF330515	2047	4027	627	94.7	globlastp
LNU893_H1 1	brachypodium|12v1|BRADI1G24640_P1	2048	4028	627	90.7	globlastp
LNU893_H1 2	oil_palm|11v1|SRR190701.565537_P1	2049	4029	627	82.4	globlastp
LNU894_H1	sorghum|12v1|SB02G039433	2050	4030	628	93.5	globlastp
LNU894_H2	wheat|12v3|CA502683	2051	4030	628	93.5	globlastp
LNU894_H3	sugarcane|10v1|CA147729	2052	4031	628	86.9	globlastp
LNU895_H1	maize|10v1|AW244938_P1	2053	4032	629	91.2	globlastp
LNU895_H2	switchgrass|gb167|FE641349	2054	4033	629	85.3	globlastp
LNU895_H4	switchgrass|12v1|FE641349_P1	2055	4034	629	84.3	globlastp
LNU895_H3	foxtail_millet|11v3|PHY7SI031608M_P1	2056	4035	629	82.4	globlastp
LNU896_H1	maize|10v1|AW497539_P1	2057	4036	630	81.1	globlastp
LNU899_H1	maize|10v1|AW288640_P1	2058	4037	633	91.6	globlastp
LNU899_H2	foxtail_millet|11v3|PHY7SI000435M_P1	2059	4038	633	87.3	globlastp
LNU899_H3	switchgrass|gb167|FL704161	2060	4039	633	86.64	glotblastn
LNU899_H4	switchgrass|12v1|FL748364_P1	2061	4040	633	84.4	globlastp
LNU899_H5	switchgrass|12v1|FL704161_P1	2062	4041	633	80.8	globlastp
LNU900_H1	maize|10v1|AW052900_P1	2063	4042	634	93.6	globlastp
LNU900_H2	foxtail_millet|11v3|PHY7SI002469M_P1	2064	4043	634	90.3	globlastp
LNU900_H8	switchgrass|12v1|FL696960_P1	2065	4044	634	89.5	globlastp
LNU900_H3	rye|12v1|DRR001012.183573	2066	4045	634	88.24	glotblastn
LNU900_H4	barley|12v1|AJ466045_P1	2067	4046	634	87.5	globlastp
LNU900_H5	wheat|12v3|CA743258	2068	4047	634	87.5	globlastp
LNU900_H6	brachypodium|12v1|BRADI2G06440_P1	2069	4048	634	86.7	globlastp
LNU901_H1	maize|10v1|AI964628_P1	2070	4049	635	90.1	globlastp
LNU901_H1 0	switchgrass|12v1|FE638167_T1	2071	4050	635	83.6	glotblastn
LNU902_H1	maize|10v1|AI622490_P1	2072	4051	636	93.4	globlastp
LNU902_H2	foxtail_millet|11v3|PHY7SI002453M_P1	2073	4052	636	88.6	globlastp
LNU902_H3	millet|10v1|EVO454PM024444_T1	2074	4053	636	86.16	glotblastn
LNU902_H4	switchgrass|gb167|DN140927	2075	4054	636	84.08	glotblastn
LNU902_H5	switchgrass|12v1|GD033452_T1	2076	4055	636	83.74	glotblastn
LNU903_H1	maize|10v1|AI979716_P1	2077	4056	637	92.3	globlastp
LNU903_H2	maize|10v1|AW216295_P1	2078	4057	637	91.1	globlastp
LNU903_H3	foxtail_millet|11v3|EC612307_P1	2079	4058	637	89.9	globlastp
LNU903_H5	switchgrass|12v1|FL699073_P1	2080	4059	637	88.1	globlastp
LNU903_H4	switchgrass|gb167|DN150122	2081	4060	637	87.9	globlastp
LNU904_H1	maize|10v1|AI947568_P1	2082	4061	638	83.1	globlastp
LNU905_H1	maize|10v1|AW052874_P1	2083	4062	639	88.4	globlastp
LNU908_H5	switchgrass|12v1|HO266689_P1	2084	4063	642	88.7	globlastp
LNU908_H1	foxtail_millet|11v3|PHY7SI005411M_P1	2085	4064	642	88.6	globlastp
LNU908_H6	switchgrass|12v1|FL973257_P1	2086	4065	642	88.1	globlastp
LNU908_H7	switchgrass|12v1|SRR187765.276211_P1	2087	4065	642	88.1	globlastp
LNU908_H2	maize|10v1|DT641006_P1	2088	4066	642	87.4	globlastp
LNU908_H3	rice|11v1|CK056423	2089	4067	642	83.5	globlastp
LNU908_H4	rice|11v1|HS372695	2090	4068	642	83.46	glotblastn
LNU908_H8	wheat|12v3|SRR400820X635658D1_T1	2091	4069	642	80.12	glotblastn
LNU908_H9	brachypodium|12v1|BRADI2G46140_P1	2092	4070	642	80.1	globlastp
LNU909_H1	maize|10v1|BQ577951_P1	2093	4071	643	92.1	globlastp
LNU910_H1	maize|10v1|BG837207_P1	2094	4072	644	90.1	globlastp
LNU910_H2	sugarcane|10v1|CA242307	2095	4073	644	89.8	globlastp
LNU910_H8	switchgrass|12v1|FL945810_P1	2096	4074	644	88.9	globlastp
LNU910_H3	foxtail_millet|11v3|PHY7SI003477M_P1	2097	4075	644	88.9	globlastp
LNU910_H4	switchgrass|gb167IFL927878	2098	4076	644	87.88	glotblastn
LNU910_H5	millet|10v1|EVO454PM187011_P1	2099	4077	644	84.8	globlastp
LNU910_H9	brachypodium|12v1|BRADI2G50130_P1	2100	4078	644	83	globlastp
LNU910_H7	rice|11v1|BI795617	2101	4079	644	82	glotblastn
LNU910_H6	maize|10v1|CD946808_T1	2102	4080	644	81.63	glotblastn
LNU910_H1 0	brachypodium|12v1|BRADI2G50136_P1	2103	4081	644	80	globlastp
LNU912_H9	switchgrass|12v1|FL792538_P1	2104	4082	646	91	globlastp
LNU912_H1	foxtail_millet|11v3|PHY7SI001740M_P1	2105	4083	646	91	globlastp
LNU912_H1 0	switchgrass|12v1|FL751233_P1	2106	4084	646	90.5	globlastp
LNU912_H2	millet|10v1|EVO454PM056333_P1	2107	4085	646	89.8	globlastp
LNU912_H3	maize|10v1|AI948274_P1	2108	4086	646	87.7	globlastp
LNU912_H4	rice|11v1|BM420858	2109	4087	646	84.6	globlastp
LNU912_H5	brachypodium|12v1|BRADI2G52680_P1	2110	4088	646	83.1	globlastp
LNU912_H6	wheat|12v3|BU099391	2111	4089	646	80.9	globlastp
LNU912_H7	wheat|12v3|BM136936	2112	4090	646	80.4	globlastp
LNU912_H8	barley|12v1|AK371517_P1	2113	4091	646	80.3	globlastp
LNU913_H1	sugarcane|10v1|CA082310	2114	4092	647	97.9	globlastp
LNU913_H2	maize|10v1|W59840_P1	2115	4093	647	96.7	globlastp
LNU913_H3	foxtail_millet|11v3|EC612650_P1	2116	4094	647	93.8	globlastp
LNU913_H1 1	switchgrass|12v1|FE617311_P1	2117	4095	647	92.5	globlastp
LNU913_H1 2	switchgrass|12v1|FE616665_P1	2118	4096	647	91.5	globlastp
LNU913_H4	millet|10v1|EVO454PM018338_P1	2119	4097	647	86.1	globlastp
LNU913_H5	switchgrass|gb167|FE616665	2120	4098	647	85.33	glotblastn
LNU913_H6	rice|11v1|BI808261	2121	4099	647	83.3	globlastp
LNU913_H7	brachypodium|12v1|BRADI2G54580_P1	2122	4100	647	82.4	globlastp
LNU913_H8	rye|12v1|DRR001012.116346	2123	4101	647	82.2	globlastp
LNU913_H9	wheat|12v3|BU100850	2124	4102	647	81.7	globlastp
LNU913_H1 0	barley|12v1|AV834883_P1	2125	4103	647	81.6	globlastp
LNU914_H1	sorghum|12v1|SB04G000570	2126	4104	648	94.5	globlastp
LNU914_H2	maize|10v1|AI665003_P1	2127	4105	648	85.6	globlastp
LNU914_H3	maize|10v1|AI372104_P1	2128	4106	648	84.4	globlastp
LNU915_H1	foxtail_mllet|11v3|PHY7SI016626M_P1	2129	4107	649	88.4	globlastp
LNU915_H3	switchgrass|12v1|FL695083_P1	2130	4108	649	87.8	globlastp
LNU915_H2	maize|10v1|BE453841_P1	2131	4109	649	86.3	globlastp
LNU916_H1	sorghum|12v1|AW284247	2132	4110	650	81.8	globlastp
LNU917_H1	sugarcane|10v1|BQ534456	2133	4111	651	96.8	globlastp
LNU917_H2	foxtail_millet|10v3|PHY7SI017544M_P1	2134	4112	651	91.2	globlastp
LNU917_H3	maize|10v1|AI673988_P1	2135	4113	651	90.4	globlastp
LNU917_H4	switchgrass|gb167|DN142589	2136	4114	651	90.2	globlastp
LNU917_H5	millet|10v1|EVO454PM028850_P1	2137	4115	651	89.6	globlastp
LNU917_H1 2	switchgrass|12v1IFL813544_P1	2138	4116	651	88.1	globlastp
LNU917_H6	wheat|12v3|BE400183	2139	4117	651	85.1	globlastp
LNU917_H7	rye|12v1|DRR001012.113593	2140	4118	651	84.3	globlastp
LNU917_H8	leymus|gb166|EG375025_P1	2141	4119	651	84	globlastp
LNU917_H9	brachypodium|12v1IBRADI3 G06290_P1	2142	4120	651	83.8	globlastp
LNU917_H1 0	fescue|gb1611|DT701360_P1	2143	4121	651	82.4	globlastp
LNU917_H1 1	maize|10v1|BQ048402_P1	2144	4122	651	82.3	globlastp
LNU918_H1	maize|10v1|AJ006536_P1	2145	4123	652	85.6	globlastp
LNU918_H2	maize|10v1|EY960159_T1	2146	4124	652	83.73	glotblastn
LNU918_H3	switchgrass|gb167|DN149185	2147	4125	652	81.15	glotblastn
LNU918_H4	switchgrass|12v1|DN149185_P1	2148	4126	652	80.6	globlastp
LNU920_H1	sugarcane|10v1ICF576045	2149	4127	654	89.2	globlastp
LNU920_H2	maize|10v1|Al677118_P1	2150	4128	654	84.2	globlastp
LNU920_H5	switchgrass|12v1|FE646248_P1	2151	4129	654	81.5	globlastp
LNU920_H3	foxtail_millet|11v3|PHY7SI018467M_P1	2152	4130	654	80.9	globlastp
LNU920_H4	switchgrasslgb167|FE646248	2153	4131	654	80.9	globlastp
LNU921_H1	maize|10v1ICA400159_P1	2154	4132	655	82	globlastp
LNU922_H1 6	switchgrass|12v1|DN143068_P1	2155	4133	656	96.2	globlastp
LNU922_H1	switchgrass|gb167|FE620798	2156	4134	656	96.2	globlastp
LNU922_H2	foxtail_millet|11v3|PHY7SI017460M_P1	2157	4135	656	95.7	globlastp
LNU922_H3	maize|10v1|AI901428_P1	2158	4136	656	95.7	globlastp
LNU922_H4	switchgrass|gb167|DN143068	2159	4137	656	95.7	globlastp
LNU922_H5	millet|10v1|EVO454PM010006_P1	2160	4138	656	94.9	globlastp
LNU922_H6	maize|10v1|AA011883_P1	2161	4139	656	94.6	globlastp
LNU922_H7	rice|11v1|BI805551	2162	4140	656	92.1	globlastp
LNU922_H8	brachypodium|12v1IBRADI3G52340T2_P1	2163	4141	656	87	globlastp
LNU922_H9	oat11|v1|CN817149_P1	2164	4142	656	86.5	globlastp
LNU922_H1 0	wheat|12v3|BQ802727	2165	4143	656	86.5	globlastp
LNU922_H1 1	brachypodium|12v1|BRADI5G01350_P1	2166	4144	656	86.2	globlastp
LNU922_H1 2	barley|12v1|BE412861_P1	2167	4145	656	86	globlastp
LNU922_H1 3	cenchrus|gb166|EB660552-P1	2168	4146	656	86	globlastp
LNU922_H1 4	rye|12v1|BE586503	2169	4147	656	85.5	globlastp
LNU922_H1 5	rye|12v1|DRR001012.249546	2170	4148	656	80.7	globlastp
LNU923_H1	maize|10v1|BI273413_P1	2171	4149	657	81.5	globlastp
LNU924_H1	sugarcane|10v1ICA070317	2172	4150	658	83.8	globlastp
LNU924_H3	switchgrass|12v1|FL935940_P1	2173	4151	658	80.9	globlastp
LNU924_H4	switchgrass|12v1|DN145033_P1	2174	4152	658	80.4	globlastp
LNU924_H2	foxtail_millet|11v3|SOLX00022667_P1	2175	4153	658	80.4	globlastp
LNU925_H1	maize|10vl|FL010481_P1	2176	4154	659	94.2	globlastp
LNU925_H2	foxtail_millet|11v3|PHY7SI016794M_P1	2177	4155	659	89.5	globlastp
LNU925_H9	switchgrass|12v1|SRR187770.1008801_P1	2178	4156	659	86	globlastp
LNU925_H1 0	switchgrass|12v1|SRR187769. 231821_P1	2179	4157	659	85.7	globlastp
LNU925_H3	brachypodium|12v1IBRADI3 G51590_P1	2180	4158	659	85.4	globlastp
LNU925_H4	wheat|12v3|TA12V11729457	2181	4159	659	85.31	glotblastn
LNU925_H5	barley|12v1|HV12v1CRP055339_P1	2182	4160	659	85	globlastp
LNU925_H6	rice|11v1|CX104415	2183	4161	659	81.1	globlastp
LNU925_H7	wheat|12v3|CA731766	2184	4162	659	80.2	globlastp
LNU925_H8	barley|12v1|BI777343_P1	2185	4163	659	80.1	globlastp
LNU926_H1	sugarcane|10v1|CA088361	2186	4164	660	96.4	globlastp
LNU926_H2	foxtail_millet|11v3|PHY7SI017439M_P1	2187	4165	660	94.3	globlastp
LNU926_H3	maize|10v1|BI389475_P1	2188	4166	660	93.7	globlastp
LNU926_H4	maize|10v1|BM078145_P1	2189	4167	660	93.7	globlastp
LNU926_H7	switchgrass|12v1|FL896622_P1	2190	4168	660	91.9	globlastp
LNU926_H5	milled10v1|EV0454PM001369_P1	2191	4169	660	91.9	globlastp
LNU926_H6	switchgrass|gb167|FL736268	2192	4170	660	91.3	globlastp
LNU926_H8	switchgrass|12v1|FL736268_P1	2193	4171	660	91	globlastp
LNU928_H1	maize|10v1|AI666263_P1	2194	4172	661	96.9	globlastp
LNU928_H5	switchgrass|12v1|FL703064_P1	2195	4173	661	90.2	globlastp
LNU928_H6	switchgrass|12v1|FL827336_P1	2196	4174	661	89.9	globlastp
LNU928_H2	foxtail_millet|11v3|PHY7SI016502M_P1	2197	4175	661	89.6	globlastp
LNU928_H3	rice|11v1|BI812770	2198	4176	661	80.26	glotblastn
LNU928_H4	rye|12v1|DRR001012.253036	2199	4177	661	80.14	glotblastn
LNU929_H1	sorghum|12v1|SB04G036770	2200	4178	662	85.4	globlastp
LNU929_H2	maize|10v1|BG836023_P1	2201	4179	662	83.4	globlastp
LNU929_H3	foxtail_millet|11v3|PHY7SI017734M_P1	2202	4180	662	83.1	globlastp
LNU929_H5	switchgrass|12v1|FL792661_P1	2203	4181	662	82.8	globlastp
LNU929_H6	switchgrass|12v1|SRR187772.1076529_P1	2204	4182	662	82.2	globlastp
LNU929_H4	millet|10v1|EVO454PM007685_T1	2205	4183	662	80.76	glotblastn
LNU931_H1	sugarcane|10v1|CA085385	2206	4184	664	95.3	globlastp
LNU931_H2	foxtail_millet|11v3|PHY7SI026372M_P1	2207	4185	664	91.7	globlastp
LNU931_H3	maize|10v1|AW052904_P1	2208	4186	664	90.9	globlastp
LNU931_H4	foxtail_millet|11v3|PHY7SI010145M_P1	2209	4187	664	89.7	globlastp
LNU931_H5	switchgrass|gb 167|FL690712	2210	4188	664	89.51	glotblastn
LNU931_H1 3	switchgrass|12v1| FL690712_P1	2211	4189	664	88.8	globlastp
LNU931_H6	sorghum|12v1|SB05G000560	2212	4190	664	88.8	globlastp
LNU931_H7	sugarcane|10v1|CA1 83007	2213	4191	664	87.5	globlastp
LNU931_H8	sorghum|12v1|ISB08G000580	2214	4192	664	87.1	globlastp
LNU931_H9	millet|10v1|CD725261P1	2215	4193	664	86.9	globlastp
LNU931_H1 0	foxtail_millet|11v3|PHY7SI006320M_P1	2216	4194	664	82.6	globlastp
LNU931_H1 1	maize|10v1|AI795587_P1	2217	4195	664	82	globlastp
LNU931_H1 4	switchgrass|12v1 |FE652169_P1	2218	4196	664	81.2	globlastp
LNU931_H1 2	switchgrass|gb167|FE652169	2219	4196	664	81.2	globlastp
LNU934_H1	sorghum|12v1||SB05G006960	2220	4197	667	97.7	globlastp
LNU934_H2	maize|10v1|AI920383_P1	2221	4198	667	91.1	globlastp
LNU934_H3	maize|10v11AI601020_P1	2222	4199	667	90.1	globlastp
LNU934_H4	foxtail_millet|11v3|EC612232_P1	2223	4200	667	88.5	globlastp
LNU934_H5	switchgrass|gb167|DN146252	2224	4201	667	88.1	globlastp
LNU934_H6	switchgrass|gb167|FE626199	2225	4202	667	86.5	globlastp
LNU934_H7	rice|11v1|BI801587	2226	4203	667	83.2	globlastp
LNU936_H1	maize|10v1|AW120427_P1	2227	4204	669	81.4	globlastp
LNU940_H1	sorghum|12v1|SB01G006570	2228	4205	672	92.4	globlastp
LNU940_H1 6	switchgrass|12v1|GD019934_P1	2229	4206	672	89.1	globlastp
LNU940_H2	maize|10v1|BM080112_P1	2230	4207	672	89.1	globlastp
LNU940_H3	switchgrass|gb167|FL987004	2231	4206	672	89.1	globlastp
LNU940_H4	foxtail_millet|11v3|PHY7SI039636M_P1	2232	4208	672	88	globlastp
LNU940_H5	milled|10v1|EVO454PM050387_P1	2233	4209	672	88	globlastp
LNU940_H1 7	switchgrass|12v1|FL987004_P1	2234	4210	672	87	globlastp
LNU940_H1 8	switchgrass|12v1 |SRR187766.558595_P1	2235	4211	672	87	globlastp
LNU940_H6	brachypodium|12v1IBRADI4G35010_P1	2236	4212	672	87	globlastp
LNU940_H7	rice|11v1|AU172742	2237	4213	672	85.9	globlastp
LNU940_H8	cenchrus|gb166|EB672242_P1	2238	4214	672	84.8	globlastp
LNU940_H9	barley|12v1|BG415270_P1	2239	4215	672	83.7	globlastp
LNU940_H1 0	pseudoroegnerialgb167|FF361949	2240	4216	672	83.7	globlastp
LNU940_H1 1	fescue|gb161|DT690522_P1	2241	4217	672	82.6	globlastp
LNU940_H1 2	rye|12v1|DRR001012.205554	2242	4218	672	82.6	globlastp
LNU940_H1 3	rye|12v1|DRR001012.443974	2243	4218	672	82.6	globlastp
LNU940_H1 4	wheat|12v3|BF474839	2244	4218	672	82.6	globlastp
LNU940_H1 5	wheat|12v3|SRX035157S105600	2245	4219	672	80.4	globlastp
LNU941_H1	sugarcane|10v1|DV636549	2246	4220	673	82.8	globlastp
LNU942_H1 5	switchgrass|12v1|DN143194_P1	2247	4221	674	93	globlastp
LNU942_H1 6	switchgrass|12v1|FE600191_P1	2248	4222	674	93	globlastp
LNU942_H1	switchgrass|gb167|DN143194	2249	4221	674	93	globlastp
LNU942_H2	maize|10v1|AI948177_P1	2250	4223	674	92.7	globlastp
LNU942_H3	sugarcane|10v1|BU103195	2251	4224	674	92.6	globlastp
LNU942_H4	sorghum|12v1|SB04G019760	2252	4225	674	92	globlastp
LNU942_H5	maize|10v1|DV523108_P1	2253	4226	674	90.6	globlastp
LNU942_H1 7	switchgrass|12v1|FE600082_P1	2254	4227	674	88.6	globlastp
LNU942_H6	switchgrass|gb167|FE600082	2255	4228	674	88.3	globlastp
LNU942_H7	foxtail_millet|11v3|PHY7SI010700M_P1	2256	4229	674	87.4	globlastp
LNU942_H8	millet|10v1IPMSLX0006862D1_P1	2257	4230	674	87.3	globlastp
LNU942_H9	foxtail_millet|11v3|PHY7SI020925M_P1	2258	4231	674	85.7	globlastp
LNU942_H1 0	leymus|gb166|EG376656_P1	2259	4232	674	85.2	globlastp
LNU942_H1 1	wheat|12v3|BE516147	2260	4233	674	85.2	globlastp
LNU942_H1 2	rye|12v1|DRR001012.268452	2261	4234	674	84.23	glotblastn
LNU942_H1 3	brachypodium|12v1IBRADI5G13320_P1	2262	4235	674	84.2	globlastp
LNU942_H1 4	rice|11v1|BI798333	2263	4236	674	83	globlastp
LNU942_H1 8	switchgrass|12v1|SRR187765.620238_T1	2264	4237	674	81.76	glotblastn
LNU943_H1	maize|10v1|AW165435_P1	2265	4238	675	93.5	globlastp
LNU943_H2	maize|10v1|BU582245_P1	2266	4239	675	92.1	globlastp
LNU943_H3	sorghum|12v1|SB01G018160	2267	4240	675	91.5	globlastp
LNU943_H4	foxtail_millet|11v3|PHY7SI022488M_P1	2268	4241	675	88.4	globlastp
LNU943_H5	switchgrasslgb167IFL700923	2269	4242	675	87.5	globlastp
LNU943_H9	switchgrass|12v1|FL946368_P1	2270	4243	675	86.7	globlastp
LNU943_H6	foxtail_millet|11v3|PHY7SI010535M_P1	2271	4244	675	86.4	globlastp
LNU943_H7	rice|11v1|CA762359	2272	4245	675	85	globlastp
LNU943_H8	rye|12v1|DRR001012.256371	2273	4246	675	80.45	glotblastn
LNU944_H1	maize|10v1|BE519358_P1	2274	4247	676	94.5	globlastp
LNU944_H2	foxtail_millet|11v3|PHY7SI013344M_P1	2275	4248	676	90.2	globlastp
LNU944_H1 4	switchgrass|12v1|FE605775_P1	2276	4249	676	89.6	globlastp
LNU944_H3	switchgrass|gb167|FL691662	2277	4250	676	88.75	glotblastn
LNU944_H1 5	switchgrassl12v1lFL693381_P1	2278	4251	676	87.4	globlastp
LNU944_H4	rice|11v1|AU065195	2279	4252	676	85.1	globlastp
LNU944_H5	rice|11v1|AA752897	2280	4253	676	84.5	globlastp
LNU944_H6	brachypodium|12v1IBRADI5G26450_P1	2281	4254	676	83.4	globlastp
LNU944_H1 6	switchgrass|12v1|FL693806_P1	2282	4255	676	82.9	globlastp
LNU944_H7	brachypodium|12v1IBRADI3G12950_P1	2283	4256	676	82.5	globlastp
LNU944_H8	foxtail_millet|11v3|EC612109_P1	2284	4257	676	82.2	globlastp
LNU944_H9	sorghum|12v1|SB06G033190	2285	4258	676	82.1	globlastp
LNU944_H1 0	rye|12vl|BE588044	2286	4259	676	81.9	globlastp
LNU944_H1 1	barley112v11BE231241_P1	2287	4260	676	81.7	globlastp
LNU944_H1 2	wheat|12v3|BE416410	2288	4261	676	81.5	globlastp
LNU944_H1 3	maize|10v1|AW119989_P1	2289	4262	676	81.2	globlastp
LNU945_H1	sugarcane|10v1ICA102004	2290	4263	677	95.7	globlastp
LNU945_H2	maize|10v1|CF630693_P1	2291	4264	677	92.4	globlastp
LNU945_H1 2	switchgrass|12v1|FE610584_P1	2292	4265	677	90.2	globlastp
LNU945_H1 3	switchgrass|12v1|FL736798_P1	2293	4266	677	90.2	globlastp
LNU945_H3	foxtail_millet|11v3|PHY7SI014236M_P1	2294	4267	677	89.6	globlastp
LNU945_H4	switchgrass|gb167|FE610584	2295	4268	677	88.21	glotblastn
LNU945_H5	brachypodium|12v1IBRADI3G16410_P1	2296	4269	677	86.1	globlastp
LNU945_H6	wheat|12v3|BE399236	2297	4270	677	84.8	globlastp
LNU945_H7	wheat|12v3|BF483870	2298	4271	677	84.8	globlastp
LNU945_H8	rice|11v1|BI796904	2299	4272	677	84.3	globlastp
LNU945_H9	oat|11v1|G0589349_P1	2300	4273	677	83.3	globlastp
LNU945_H1 0	barley|12v1|AV835214_P1	2301	4274	677	83	globlastp
LNU945_H1 1	rye|12v1|DRR001012.115501	2302	4275	677	81.5	globlastp
LNU946_H3	switchgrass|12v1IFE622311_P1	2303	4276	678	88.1	globlastp
LNU946_H1	foxtail_millet|11v3|PHY7SI013314M_P1	2304	4277	678	86.8	globlastp
LNU946_H4	switchgrass|12v1IFE631618_P1	2305	4278	678	86.3	globlastp
LNU946_H2	maize|10v1|CO517747_P1	2306	4279	678	85.3	globlastp
LNU947_H1	maize|10v1|AW400079_T1	2307	4280	679	80.67	glotblastn
LNU948_H1	maize|10v1|CF244014T1	2308	4281	680	85.13	glotblastn
LNU949_H1	sugarcane|10v1ICA070316	2309	4282	681	91.6	globlastp
LNU949_H2	millet|10v1|CD725957_P1	2310	4283	681	80.3	globlastp
LNU950_H1	sugarcane|10v1|CA117340	2311	4284	682	93.5	globlastp
LNU950_H2	sorghum|12v1|SB05G001050	2312	4285	682	88.5	globlastp
LNU950_H3	foxtail_millet|11v3|PHY7SI026369M_P1	2313	4286	682	86.5	globlastp
LNU950_H4	foxtail_millet|11v3|EC611923_P1	2314	4287	682	86.1	globlastp
LNU950_H5	switchgrass|gb167|DN142564	2315	4288	682	85.8	globlastp
LNU950_H2 1	switchgrass|12v1|FE601370_P1	2316	4289	682	85.6	globlastp
LNU950_H2 2	switchgrass|12v1|DN142564_P1	2317	4290	682	84.9	globlastp
LNU950_H6	maize|10v1|AI665950_P1	2318	4291	682	84.5	globlastp
LNU950_H7	millet|10v1|EV0454PM003253_P1	2319	4292	682	84	globlastp
LNU950_H8	millet|10v1|EV0454PM002572_P1	2320	4293	682	82.7	globlastp
LNU950_H9	rice|11v1|BI808891	2321	4294	682	82.7	glotblastn
LNU950_H1 0	rice|11v1|AF004947	2322	4295	682	82	globlastp
LNU950_H1 1	wheat|12v3|BE412095	2323	4296	682	81.3	globlastp
LNU950_H1 2	wheat|12v3|CA664401	2324	4297	682	81.3	globlastp
LNU950_H1 3	wheat|12v3|SRR043323X26334D1	2325	4297	682	81.3	globlastp
LNU950_H1 4	rice|11lv1|AU174185	2326	4298	682	81.1	globlastp
LNU950_H1 5	barley|12v1|AV910430_P1	2327	4299	682	80.9	globlastp
LNU950_H1 6	rye|12v1|DRR001012.134503	2328	4300	682	80.9	globlastp
LNU950_H1 7	maize|10v1|DR804998_P1	2329	4301	682	80.7	globlastp
LNU950_H1 8	maize|10v1|EG041994_P1	2330	4302	682	80.7	globlastp
LNU950_H1 9	wheat|12v3|CA719005	2331	4303	682	80.7	globlastp
LNU950_H2 0	maize|10v1|CF064453_P1	2332	4304	682	80.3	globlastp
LNU953_H1	foxtail_millet|11v3|PHY7SI021031M_P1	2333	4305	685	98.5	globlastp
LNU953_H2	maize|10v1|AI947816_P1	2334	4306	685	98	globlastp
LNU953_H3	rice|11v1|BI810241	2335	4307	685	94.8	globlastp
LNU953_H4	brachypodium|12v1IBRADI4G07167_P1	2336	4308	685	93.3	globlastp
LNU953_H5	rye|12v1|BE587487	2337	4309	685	92.8	globlastp
LNU953_H6	rice|11v1|AA752560	2338	4310	685	91.8	globlastp
LNU953_H7	wheat|12v3|BE606922	2339	4311	685	89.93	glotblastn
LNU953_H8	brachypodium|12v1IBRADI4G15710_P1	2340	4312	685	89.8	globlastp
LNU953_H9	sorghum|12v1|SB05G022390	2341	4313	685	88.9	globlastp
LNU953_H1 0	oil_palm|11v1|EY408711XX1_T1	2342	4314	685	88.62	glotblastn
LNU953_H1 1	oil_palmi|11v1|ES323990_P1	2343	4315	685	87.5	globlastp
LNU953_H1 2	banana|12v1|BBS995T3_P1	2344	4316	685	87.4	globlastp
LNU953_H1 3	foxtail_millet|11v3|PHY7SI025878M_P1	2345	4317	685	87.4	globlastp
LNU953_H1 4	aristolochia|10v1|FD752686_P1	2346	4318	685	87.1	globlastp
LNU953_H1 5	amborella|12v3|FD433166_P1	2347	4319	685	86.8	globlastp
LNU953_H1 6	banana112v11ES434911_P1	2348	4320	685	86.3	globlastp
LNU953_H1 8	soybean|12v1|GLYMA02G43930_P1	2349	4321	685	86.1	globlastp
LNU953_H1 7	pigeonpea|11v1|SRR054580X101829_P1	2350	4322	685	85.8	globlastp
LNU953_H1 8	soybean|11v1|GLYMA14G04890	2351	4323	685	85.8	globlastp
LNU953_H1 9	strawberry|11v1|CO379742	2352	4324	685	85.7	globlastp
LNU953_H2 0	lotus|09v1|GFXAP006535X8_P1	2353	4325	685	85.5	globlastp
LNU953_H2 1	medicago|12v1|BE204582_P1	2354	4326	685	85.5	globlastp
LNU953_H2 2	poppy|11v1|SRR030259.226807_T1	2355	4327	685	85.49	glotblastn
LNU953_H126	castorbean|12v1|XM_002514388_T1	2356	4328	685	85.47	glotblastn
LNU953_H2 4	cotton|11v1|AI725579_P1	2357	4329	685	85.4	globlastp
LNU953_H2 5	gossypium_raimondii|12v1|AI725579_P1	2358	4330	685	85.3	globlastp
LNU953_H2 6	soybean|11v1|GLYMA02G43930	2359	4331	685	85.3	globlastp
LNU953_H2 7	watermelon|11v1|AM738852	2360	4332	685	85.3	globlastp
LNU953_H2 8	prunus|10v1|BU575191	2361	4333	685	85.2	globlastp
LNU953_H1 27	soybean|12v1|GLYMA14G04890_P1	2362	4334	685	85.1	globlastp
LNU953_H2 9	trigonella|11v1|SRR066194X104042	2363	4335	685	85.1	globlastp
LNU953_H1 28	bean|12v2|CA899898_P1	2364	4336	685	85	globlastp
LNU953_H1 29	bean|12v2|CB542475_P1	2365	4337	685	85	globlastp
LNU953_H1 30	poplar|13v1|AI162526_P1	2366	4338	685	85	globlastp
LNU953_H3 0	bean|12v1|CB542475	2367	4339	685	85	globlastp
LNU953_H3 1	cassava|09v1|CK650982_P1	2368	4340	685	85	globlastp
LNU953_H3 5	poplar|13v1|AI162784_P1	2369	4341	685	85	globlastp
LNU953_H3 2	wheat|12v3|BE403992	2370	4342	685	84.94	glotblastn
LNU953_H3 3	banana|12v1|ES435104_P1	2371	4343	685	84.9	globlastp
LNU953_H3 4	euphorbia|11v1|BG467380_P1	2372	4344	685	84.9	globlastp
LNU953_H3 5	poplar|10v1|AI162784	2373	4345	685	84.9	globlastp
LNU953_H3 7	chickpea|13v2|GR396199_P1	2374	4346	685	84.9	globlastp
LNU953_H6 4	poplar|13v1|BU815471_P1	2375	4347	685	84.9	globlastp
LNU953_H3 6	medicago|12v1|AW684864_P1	2376	4348	685	84.8	globlastp
LNU953_H3 7	chickpea|11v1|GR396199	2377	4349	685	84.77	glotblastn
LNU953_H3 8	soybean|11v1|GLYMA20G11300	2378	4350	685	84.7	globlastp
LNU953_H3 9	wheat|12v3|BE606346	2379	4351	685	84.7	globlastp
LNU953_H1 31	poplar|13v1|BU820987_P1	2380	4352	685	84.6	globlastp
LNU953_H4 0	aquilegia|10v2|DR913332_P1	2381	4353	685	84.6	globlastp
LNU953_H4 1	flaveria|11v1|SRR149229.10069_P1	2382	4354	685	84.6	globlastp
LNU953_H4 2	trigonella|11v1|SRR066194X163258	2383	4355	685	84.59	glotblastn
LNU953_H4 3	abies|11v2|SRR098676X111217_P1	2384	4356	685	84.5	globlastp
LNU953_H4 4	eucalyptus|11v2|CD668448_P1	2385	4357	685	84.5	globlastp
LNU953_H4 5	flaveria|11v1|SRR149229.216232_P1	2386	4358	685	84.5	globlastp
LNU953_H4 6	grape|11v1|GSVIVT01034603001_P1	2387	4359	685	84.5	globlastp
LNU953_H4 7	euphorbia|11v1|DV127429_T1	2388	4360	685	84.49	glotblastn
LNU953_H4 8	sunflower|12v1|CX947317	2389	4361	685	84.4	globlastp
LNU953_H4 9	beech|11v1|SRR006293.655_ T1	2390	4362	685	84.33	glotblastn
LNU953_H1 32	prunus_mume|13v1|BU57519 1_P1	2391	4363	685	84.3	globlastp
LNU953_H5 0	apple|11v1|CN444562_P1	2392	4364	685	84.3	globlastp
LNU953_H5 1	cassava|09v1|CK645234_P1	2393	4365	685	84.3	globlastp
LNU953_H5 2	clementine|11v1|BQ623766_P1	2394	4366	685	84.3	globlastp
LNU953_H5 3	pine|10v2|BF220411_P1	2395	4367	685	84.3	globlastp
LNU953_H5 4	clementine|11v1|CB292767_P1	2396	4368	685	84.2	globlastp
LNU953_H5 5	cucumber|09v1|AM731249_P1	2397	4369	685	84.2	globlastp
LNU953_H5 6	orange|11v1|BQ623766_P1	2398	4370	685	84.2	globlastp
LNU953_H5 7	aquilegia|10v2|DR925985_P1	2399	4371	685	84.1	globlastp
LNU953_H5 8	banana|12v1|ES431466_P1	2400	4372	685	84.1	globlastp
LNU953_H1 33	castorbean|12v1|XM_002524 074_P1	2401	4373	685	84	globlastp
LNU953_H6 0	strawberry|11v1|DY674421	2402	4374	685	84	globlastp
LNU953_H6 1	valeriana|11v1|SRR099039X1 2407	2403	4375	685	84	globlastp
LNU953_H6 2	ambrosia|11v1|SRR346935.10 8676_T1	2404	4376	685	83.96	glotblastn
LNU953_H6 3	cotton|11v1|BE052039XX1_T1	2405	4377	685	83.7	glotblastn
LNU953_H6 4	poplar|10v1|BU815471	2406	4378	685	83.7	globlastp
LNU953_H6 5	sunflower|12v1|DY931792	2407	4379	685	83.7	globlastp
LNU953_H6 6	vinca|11v1|SRR098690X1034 74	2408	4380	685	83.7	globlastp
LNU953_H1 34	prunus_mume|13v1|BU04159 0_P1	2409	4381	685	83.2	globlastp
LNU953_H6 7	cephalotaxus|11v1|SRR06439 5X106034_P1	2410	4382	685	83.2	globlastp
LNU953_H6 8	prunus|10v1|BU041590	2411	4383	685	83.2	globlastp
LNU953_H6 9	cacao|10v1|CU471848_T1	2412	4384	685	82.93	glotblastn
LNU953_H7 0	thellungiella_halophilum|11v1 |BY808976	2413	4385	685	82.9	globlastp
LNU953_H1 35	prunus_mume|13v1|BU57300 2_P1	2414	4386	685	82.7	globlastp
LNU953_H7 1	cotton|11v1|DT049082_P1	2415	4387	685	82.6	globlastp
LNU953_H7 2	arabidopsis_lyrata|09v1|JGIA L020339_P1	2416	4388	685	82.5	globlastp
LNU953_H7 3	b_rapa|11v1|CX189281_P1	2417	4389	685	82.5	globlastp
LNU953_H7 4	canola|11v1|EE456851_T1	2418	4390	685	82.47	glotblastn
LNU953_H7 5	eucalyptus|11v2|CU402999_P1	2419	4391	685	82.4	globlastp
LNU953_H7 6	gossypium_raimondii|12v1|B F268450_P1	2420	4392	685	82.4	globlastp
LNU953_H7 7	vinca|11v1|SRR098690X1067 48	2421	4393	685	82.33	glotblastn
LNU953_H7 8	b_rapa|11v1|CD814501_P1	2422	4394	685	82.3	globlastp
LNU953_H7 9	chelidonium|11v1|SRR08475 2X101848_P1	2423	4395	685	82.3	globlastp
LNU953_H8 0	grape|11v1|GSVIVT0102249 8001_T1	2424	4396	685	82.27	glotblastn
LNU953_H8 1	b_rapa|11v1|CD818738_P1	2425	4397	685	82.2	globlastp
LNU953_H8 2	canola|11v1|EE553419_P1	2426	4398	685	82.2	globlastp
LNU953_H8 3	flaveria|11v1|SRR149229.106 289_P1	2427	4399	685	82.2	globlastp
LNU953_H8 4	arnica|11v1|SRR099034X101 325_T1	2428	4400	685	82.17	glotblastn
LNU953_H8 5	arabidopsis|10v1|AT5G06600 _P1	2429	4401	685	82.1	globlastp
LNU953_H8 6	orange|11v1|CB292767_P1	2430	4402	685	82.1	globlastp
LNU953_H8 7	cucumber|09v1|DV737928_T1	2431	4403	685	82.05	glotblastn
LNU953_H8 8	prunus|10v1|BU573002	2432	4404	685	81.94	glotblastn
LNU953_H8 9	amorphophallus|11v2|SRR089 351X103224_T1	2433	4405	685	81.91	glotblastn
LNU953_H9 0	millet|10v1|EV0454PM00032 1_P1	2434	4406	685	81.9	globlastp
LNU953_H9 1	solanum_phureja|09v1|SPHB G123815	2435	4407	685	81.9	globlastp
LNU953_H9 2	apple|11v1|CN495483_T1	2436	4408	685	81.72	glotblastn
LNU953_H9 3	distylium|11v1|SRR065077X101856_T1	2437	4409	685	81.72	glotblastn
LNU953_H1 36	monkeyflower|12v1|CV51976 0_P1	2438	4410	685	81.7	globlastp
LNU953_H9 4	gossypium_raimondii|12v1|AI 726752_P1	2439	4411	685	81.7	globlastp
LNU953_H9 5	monkeyflower|10v1|GO978886	2440	4410	685	81.7	globlastp
LNU953_H9 6	silene|1v1|SRR096785X10574	2441	4412	685	81.7	globlastp
LNU953_H9 7	tomato|11v1|BG123815	2442	4413	685	81.7	globlastp
LNU953_H9 8	silene|11v1|SRR096785X100325	2443	4414	685	81.69	glotblastn
LNU953_H9 9	poppy|11v1|SRR030259.1011 22_P1	2444	4415	685	81.6	globlastp
LNU953_H1 00	arabidopsis_lyrata|09v1|JGIA L009620_P1	2445	4416	685	81.5	globlastp
LNU953_H1 01	solanum_phureja|09v1|SPHB G626752	2446	4417	685	81.5	globlastp
LNU953_H1 02	thellungiella_halophilum|11v1|BY815359	2447	4418	685	81.5	globlastp
LNU953_H1 03	poplar|10v1|BU820987	2448	4419	685	81.41	glotblastn
LNU953_H1 04	arabidopsis|10v1|AT3G11910 _P1	2449	4420	685	81.4	globlastp
LNU953_H1 05	ambrosia|11v1|SRR346935.13 6915_T1	2450	4421	685	81.34	glotblastn
LNU953_H1 06	tomato|11v1|AW030110	2451	4422	685	81.3	globlastp
LNU953_H1 07	tomato|11v1|BG626752	2452	4423	685	81.3	globlastp
LNU953_H1 08	valeriana|11v1SRR099039X1 02728	2453	4424	685	81.21	glotblastn
LNU953_H1 37	olea|13v1|SRR014463X11603 D1_P1	2454	4425	685	81.2	globlastp
LNU953_H1 09	thellungiella_parvulum|11v1|BY815359	2455	4426	685	81.2	globlastp
LNU953_H1 38	nicotiana_benthamiana|12v1| AM816011_P1	2456	4427	685	81.1	globlastp
LNU953_H1 10	eucalyptus|11v2|SRR001659X101826_P1	2457	4428	685	81.1	globlastp
LNU953_H1 11	thellungiella_parvulum|11v1|BY808976	2458	4429	685	81.1	globlastp
LNU953_H1 12	poppy|11v1|SRR030259.1229 82_P1	2459	4430	685	81	globlastp
LNU953_H1 13	ambrosia|11v1|SRR346935.10 9483_T1	2460	4431	685	80.99	glotblastn
LNU953_H1 14	cacao|10v1|CU631250_T1	2461	4432	685	80.94	glotblastn
LNU953_H1 39	chickpea|13v2|GR398757_P1	2462	4433	685	80.9	globlastp
LNU953_H1 40	nicotiana_benthamiana|12v1|BP749195_P1	2463	4434	685	80.9	globlastp
LNU953_H1 15	spruce|11v1|EX356361	2464	4435	685	80.87	glotblastn
LNU953_H1 16	taxus|10v1|SRR032523S0002 905	2465	4436	685	80.84	glotblastn
LNU953_H1 17	cannabis|12v1|GR221441_P1	2466	4437	685	80.8	globlastp
LNU953_H1 18	valeriana|11v1|SRR099039X1 02263	2467	4438	685	80.62	glotblastn
LNU953_H1 19	canola|11v1|EE446069_P1	2468	4439	685	80.5	globlastp
LNU953_H1 20	rice|11v1|BE230378	2469	4440	685	80.5	globlastp
LNU953_H1 41	nicotiana_benthamiana|12v1| BP748980_P1	2470	4441	685	80.4	globlastp
LNU953_H1 42	nicotiana_benthamiana|12v1| EG649585_P1	2471	4442	685	80.4	globlastp
LNU953_H1 43	olea|13v1|SRR014463X13706 D1_P1	2472	4443	685	80.4	globlastp
LNU953_H1 44	switchgrassl12v1|FE629023_ P1	2473	4444	685	80.3	globlastp
LNU953_H1 45	nicotiana_benthamiana|12v1|EB682588_T1	2474	4445	685	80.28	glotblastn
LNU953_H1 21	brachypodium|12v1|BRADI1 G56780_P1	2475	4446	685	80.2	globlastp
LNU953_H1 22	rye|12v1|DRR001012.10357	2476	4447	685	80.2	globlastp
LNU953_H1 23	amorphophallus|11v2|SRR089 351X111618_T1	2477	4448	685	80.14	glotblastn
LNU953_H1 24	pine|10v2|AW043162_P1	2478	4449	685	80.1	globlastp
LNU953_H1 25	pseudotsuga|10v1|SRR065119 S0024421	2479	4450	685	80.05	glotblastn
LNU955_H1 2	switchgrass|12v1|DN142337_ P1	2480	4451	687	92	globlastp
LNU955_H1	maize|10v1|C0522570_P1	2481	4452	687	91.5	globlastp
LNU955_H2	foxtail_millet|11v3|PHY7SI02 1896M_P1	2482	4453	687	90.5	globlastp
LNU955_H3	switchgrass|gb167|FL785019	2483	4454	687	86.7	globlastp
LNU955_H1 3	switchgrass|12v1|FL785019_ P1	2484	4455	687	86.3	globlastp
LNU955_H4	rice|11v1|CB665557	2485	4456	687	85.1	globlastp
LNU955_H5	oat|11v1|GR314727_P1	2486	4457	687	84.3	globlastp
LNU955_H1 4	switchgrass|12v1|SRR187771. 727771_T1	2487	4458	687	83.85	glotblastn
LNU955_H6	wheat|12v3|CA625652	2488	4459	687	83.8	globlastp
LNU955_H7	barley|12v1|BQ659274_P1	2489	4460	687	83.2	globlastp
LNU955_H8	brachypodium|12v1|BRADI4 G06410_P1	2490	4461	687	83	globlastp
LNU955_H9	rye|12v1|DRR001012.117807	2491	4462	687	82.8	globlastp
LNU955_H1 0	millet|10v1|PMSLX0023357D2_P1	2492	4463	687	81.8	globlastp
LNU955_H1 5	switchgrass|12v1|FL853651_ P1	2493	4464	687	81.7	globlastp
LNU955_H1 1	foxtail_millet|11v3|PHY7SI02 1894M_P1	2494	4465	687	81.1	globlastp
LNU955_H1 6	switchgrass|12v1|FL758990_ P1	2495	4466	687	80.4	globlastp
LNU957_H1	maize|10v1|BI388870_P1	2496	4467	689	85.6	globlastp
LNU957_H2	foxtail_millet|11v3|EC613819_T1	2497	4468	689	82.08	glotblastn
LNU958_H1	maize|10v1|DR801342_P1	2498	4469	690	91	globlastp
LNU958_H8	switchgrass|12v1|FL952819_ P1	2499	4470	690	88.1	globlastp
LNU958_H2	foxtail_millet|11v3|PHY7SI02 2391M_P1	2500	4471	690	86.6	globlastp
LNU958_H3	barley|12v1|BF623458_P1	2501	4472	690	82.1	globlastp
LNU958_H4	rye|12v1|DRR001012.18630	2502	4473	690	81.8	globlastp
LNU958_H5	brachypodium|12v1|BRADI4 G01370_P1	2503	4474	690	81.7	globlastp
LNU958_H6	oat|11v1|GR331570_P1	2504	4475	690	81.7	globlastp
LNU958_H9	switchgrass|12v1|SRR187769. 180209_P1	2505	4476	690	81.2	globlastp
LNU958_H7	rice|11v1|C73705	2506	4477	690	80.9	globlastp
LNU959_H1	foxtail_millet|11v3|SOLX00016974_P1	2507	4478	691	80.6	globlastp
LNU959_H2	sugarcane|10v1|CA183011	2508	4479	691	80.1	globlastp
LNU961_H1	maize|10v1|CF631183_P1	2509	4480	693	92.2	globlastp
LNU961_H8	switchgrass|12v1|FE655607_ T1	2510	4481	693	91.32	glotblastn
LNU961_H2	foxtail_millet|11v3|PHY7SI02 2987M_P1	2511	4482	693	89.4	globlastp
LNU961_H3	switchgrass|gb167|FE655607	2512	4483	693	88.1	globlastp
LNU961_H4	wheat|12v3|CA662505	2513	4484	693	81.7	globlastp
LNU961_H5	oat|11v1|GR320475_P1	2514	4485	693	81.3	globlastp
LNU961_H6	brachypodium|12v1|BRADI2 G18310_P1	2515	4486	693	81.1	globlastp
LNU961_H7	rice|11v1|C24906	2516	4487	693	80.8	globlastp
LNU963_H1	maize|10v1|BE238751_P1	2517	4488	695	96.4	globlastp
LNU963_H2	foxtail_millet|11v3|EC613777 _P1	2518	4489	695	95.4	globlastp
LNU963_H4	switchgrass|12v1|FE650575_ P1	2519	4490	695	90.1	globlastp
LNU963_H3	rice|11v1|AA752580	2520	4491	695	86	globlastp
LNU964_H1	maize|10v1|BE051847_P1	2521	4492	696	95	globlastp
LNU964_H1 2	switchgrass|12v1IFL715928_ P1	2522	4493	696	94.6	globlastp
LNU964_H2	foxtail_millet|11v3|PHY7SI00 8583M_P1	2523	4494	696	93.5	globlastp
LNU964_H3	rice|11v1|CA753376	2524	4495	696	91.9	globlastp
LNU964_H4	brachypodium|12v1|BRADI1 G36570_P1	2525	4496	696	90.6	globlastp
LNU964_H5	wheat|12v3|CA593860	2526	4497	696	90	globlastp
LNU964_H6	switchgrass|gb167IFL715928	2527	4498	696	88.91	glotblastn
LNU964_H7	millet|10v1|EV0454PM02407 6_P1	2528	4499	696	84.1	globlastp
LNU964_H8	rye|12v1|DRR001012.11081	2529	4500	696	83.98	glotblastn
LNU964_H9	sorghum|12v1|SB04G006930	2530	4501	696	81.2	globlastp
LNU964_H1 0	rice|11v1|CB096675	2531	4502	696	80.87	glotblastn
LNU964_H1 3	switchgrass|12v1|FL988009_ T1	2532	4503	696	80.64	glotblastn
LNU964_H1 1	foxtail_millet|11v3|PHY7SI01 7454M_P1	2533	4504	696	80.4	globlastp
LNU965_H1	sugarcane|10v1|BQ533054	2534	4505	697	91.8	globlastp
LNU965_H2	maize|10v1|T12687_P1	2535	4506	697	86.8	globlastp
LNU965_H5	switchgrass|12v1|FE648444_ P1	2536	4507	697	82.3	globlastp
LNU965_H3	switchgrass|gb167|FE648444	2537	4507	697	82.3	globlastp
LNU965_H4	foxtail_millet|11v3|EC612769 _P1	2538	4508	697	81.6	globlastp
LNU965_H6	switchgrass|12v1|FL899717_ T1	2539	4509	697	80.07	glotblastn
LNU966_H1	foxtail_millet|11v3|EC612437 _P1	2540	4510	698	90	globlastp
LNU966_H7	switchgrass|12v1|FL704069_ P1	2541	4511	698	88	globlastp
LNU966_H2	brachypodium|12v1|BRADI1 G32350_P1	2542	4512	698	82.4	globlastp
LNU966_H3	rye|12v1|DRR001012.705384	2543	4513	698	80.82	glotblastn
LNU966_H4	rye|12v1|DRR001012.277281	2544	4514	698	80.46	glotblastn
LNU966_H5	wheat|12v3|CD934973	2545	4515	698	80.46	glotblastn
LNU966_H6	rice|11v1|BI808003	2546	4516	698	80.4	globlastp
LNU967_H1	maize|10v1|CD001313_P1	2547	4517	699	90.5	globlastp
LNU967_H2	foxtail_millet|11v3|PHY7SI00 5990M_P1	2548	4518	699	83.3	globlastp
LNU970_H1	soybean|11v1|GLYMA10G05 870	2549	4519	702	98.2	globlastp
LNU970_H6 4	soybean|12v1|GLYMA10G05 870_P1	2550	4520	702	95.6	globlastp
LNU970_H2	cowpea|12v1|FF384004_P1	2551	4521	702	92.3	globlastp
LNU970_H3	pigeonpea|11v1|GW351178_P1	2552	4522	702	92	globlastp
LNU970_H6 5	bean|12v2|CA911706_P1	2553	4523	702	91.2	globlastp
LNU970_H4	bean|12v1|CA911706	2554	4523	702	91.2	globlastp
LNU970_H5	peanut|10v1|EE126306_P1	2555	4524	702	89.1	globlastp
LNU970_H6	chickpea|11v1|SRR133517.11 3773	2556	4525	702	88.3	globlastp
LNU970_H6	chickpea|13v2|SRR133517.11 3773_P1	2557	4525	702	88.3	globlastp
LNU970_H8	soybean|12v1|GLYMA19G36 410_P1	2558	4526	702	88	globlastp
LNU970_H7	pigeonpea|11v1|SRR054580X 124449_P1	2559	4527	702	87.2	globlastp
LNU970_H8	soybean|11v1|GLYMA19G36 410	2560	4528	702	87.2	globlastp
LNU970_H9	medicago|12v1|AW692607_P1	2561	4529	702	86.9	globlastp
LNU970_H1 0	trigonella|11v1|SRR066194X 103697	2562	4530	702	86.5	globlastp
LNU970_H1 1	soybean|11v1|GLYMA03G33 680	2563	4531	702	85.8	globlastp
LNU970_H1 1	soybean|12v1IGLYMA03G33 680_P1	2564	4531	702	85.8	globlastp
LNU970_H1 2	lotus|09v1|AW428709_P1	2565	4532	702	85.4	globlastp
LNU970_H1 3	poplar|10v1|CA927561	2566	4533	702	85	globlastp
LNU970_H6 6	nicotiana_benthamiana|12v1| CK284221_P1	2567	4534	702	84.3	globlastp
LNU970_H1 4	cacao|10v1|CU479946_P1	2568	4535	702	84.3	globlastp
LNU970_H1 5	grape|11v1|GSVIVT0102565 6001_P1	2569	4536	702	84.3	globlastp
LNU970_H1 6	nicotiana_benthamiana|gb162| CK284221	2570	4534	702	84.3	globlastp
LNU970_H6 7	poplar|13v1|CA927561_P1	2571	4537	702	83.9	globlastp
LNU970_H1 7	catharanthus|11v1|EG556643 _P1	2572	4538	702	83.9	globlastp
LNU970_H1 8	apple|11v1|CN580810_P1	2573	4539	702	83.6	globlastp
LNU970_H1 9	chestnut|gb170|SRR00629550 024406_P1	2574	4540	702	83.6	globlastp
LNU970_H6 8	castorbean|12v1|EG692405_P1	2575	4541	702	83.3	globlastp
LNU970_H2 1	clementine|11v1|CF504408_P1	2576	4542	702	83.2	globlastp
LNU970_H2 2	oak|10v1|FP025429-P1	2577	4543	702	83.2	globlastp
LNU970_H2 3	orange|11v1|CF504408_P1	2578	4542	702	83.2	globlastp
LNU970_H2 4	scabiosa|11v1|SRR063723X1 0102	2579	4544	702	83.2	globlastp
LNU970_H2 5	beech|11v1|SRR006293.1521 5_T1	2580	4545	702	82.91	glotblastn
LNU970_H6 9	prunus_mume|13v1|DN55366 0_P1	2581	4546	702	82.9	globlastp
LNU970_H7 0	nicotiana_benthamiana|12v1| EH664749_P1	2582	4547	702	82.8	globlastp
LNU970_H7 1	olea|13v1|SRR014463X18544 D1_P1	2583	4548	702	82.8	globlastp
LNU970_H2 6	amsonia|11v1|SRRO98688X1 05338_P1	2584	4549	702	82.8	globlastp
LNU970_H2 7	liquorice|gb171|FS241348_P1	2585	4550	702	82.8	globlastp
LNU970_H2 8	poplar|10v1|AI163995	2586	4551	702	82.8	globlastp
LNU970_H2 8	poplar|13v1|AI163995_P1	2587	4552	702	82.8	globlastp
LNU970_H2 9	tabernaemontana|11v1|SRR09 8689X105363	2588	4553	702	82.8	globlastp
LNU970_H3 0	strawberry|11v1|CO380524	2589	4554	702	82.6	globlastp
LNU970_H7 2	nicotiana_benthamiana|12v1| EB425526_P1	2590	4555	702	82.5	globlastp
LNU970_H3 1	blueberry|12v1|SRR353282X 4041D1_P1	2591	4556	702	82.5	globlastp
LNU970_H3 2	eucalyptus|11v2|CT980284_P1	2592	4557	702	82.5	globlastp
LNU970_H3 3	lotus|09v1|DC596145_P1	2593	4558	702	82.5	globlastp
LNU970_H3 4	prunus|10v1|CN580810	2594	4559	702	82.2	globlastp
LNU970_H3 5	tobacco|gb162|EB425526	2595	4560	702	82.1	globlastp
LNU970_H3 6	tripterygium|11v1|SRR09867 7X12467	2596	4561	702	82.1	globlastp
LNU970_H3 7	momordica|10v1|SRR071315 S0003149_P1	2597	4562	702	81.8	globlastp
LNU970_H3 8	nasturtium|11v1|SRR032558. 101335_P1	2598	4563	702	81.8	globlastp
LNU970_H3 9	cleome_spinosa|10v1|GR9331 44_T1	2599	4564	702	81.75	glotblastn
LNU970_H4 0	cotton|11v1|AW186771_P1	2600	4565	702	81.6	globlastp
LNU970_H7 3	olea|13v1|SRR014463X10063 D1_P1	2601	4566	702	81.4	globlastp
LNU970_H4 1	valeriana|11v1|SRR099039X1 16523	2602	4567	702	81.4	globlastp
LNU970_H4 2	watermelon|11v1|AM726470	2603	4568	702	81.4	globlastp
LNU970_H4 3	gossypium_raimondii|12v1|A W186771_P1	2604	4569	702	81.2	globlastp
LNU970_H4 4	euonymus|11v1|SRR070038X 13639_P1	2605	4570	702	81.1	globlastp
LNU970_H4 5	euonymus|11v1|SRR070038X 296196_P1	2606	4571	702	81.1	globlastp
LNU970_H4 6	triphysaria|10v1|DR170439	2607	4572	702	81.1	globlastp
LNU970_H4 7	cassava|09v1|JGICASSAVA2 3572VALIDM1_P1	2608	4573	702	81	globlastp
LNU970_H4 8	kiwi|gb166|FG404513_P1	2609	4574	702	81	globlastp
LNU970_H4 9	solanum_phureja|09v1|SPHB G135560	2610	4575	702	81	globlastp
LNU970_H5 0	cotton|11v1|C0081144_P1	2611	4576	702	80.9	globlastp
LNU970_H5 1	gossypium_raimondii|12v1|AI 728093_P1	2612	4577	702	80.9	globlastp
LNU970_H5 2	medicago|12v1|CA990040_P1	2613	4578	702	80.7	globlastp
LNU970_H5 3	tomato|11v1|BG135560	2614	4579	702	80.7	globlastp
LNU970_H5 4	vinca|11v1|SRR098690X1046 84	2615	4580	702	80.7	globlastp
LNU970_H5 5	ambrosia|11v1|SRR346935.11 0771_P1	2616	4581	702	80.4	globlastp
LNU970_H5 6	cottonl11v1|AI728093_P1	2617	4582	702	80.4	globlastp
LNU970_H5 7	guizotia|10v1|GE557045_P1	2618	4583	702	80.4	globlastp
LNU970_H5 8	sunflower|12v1|DY912319	2619	4584	702	80.4	globlastp
LNU970_H5 9	coffea|10v1|DV663991_P1	2620	4585	702	80.3	globlastp
LNU970_H6 0	cucurbita|11v1|SRR091276X1 25648_P1	2621	4586	702	80.3	globlastp
LNU970_H6 1	cucumber|09v1|AM726470_T1	2622	4587	702	80.29	glotblastn
LNU970_H6 2	sunflower|12v1|CD856036	2623	4588	702	80.1	globlastp
LNU970_H6 3	cynara|gb167|GE590124_P1	2624	4589	702	80	globlastp
LNU971_H1	tomato|11v1|AI487766	2625	4590	703	91.9	globlastp
LNU971_H2	tomato|11v1|BG132158	2626	4591	703	91.7	globlastp
LNU971_H3	tomato|11v1|BG589613	2627	4591	703	91.7	globlastp
LNU971_H4	solanum_phureja|09v1|SPHAI 487915	2628	4592	703	89.5	glotblastn
LNU971_H5	tomato|11v1|AW218573	2629	4593	703	89.41	glotblastn
LNU971_H6	solanum_phureja|09v1|SPHAI 777070	2630	4594	703	87.66	glotblastn
LNU971_H7	solanum_phureja|09v1ISPHD N168697	2631	4594	703	87.66	glotblastn
LNU971_H8	solanum_phureja|09v1ISPHB G125614	2632	4595	703	87.5	globlastp
LNU971_H9	tomato|11v1|AI777070	2633	4596	703	86.8	globlastp
LNU971_H1 0	potato|10v1|BQ514990_T1	2634	4597	703	86.36	glotblastn
LNU971_H1 1	solanum_phureja|09v1|SPHAI 772789	2635	4598	703	86.31	glotblastn
LNU971_H1 2	solanum_phureja|09v1|SPHBI 431905	2636	4599	703	85.71	glotblastn
LNU971_H1 3	potato|10v1|BI431905_P1	2637	4600	703	85.5	globlastp
LNU971_H1 4	potato|10v1|CV475926_T1	2638	4601	703	85.47	glotblastn
LNU971_H1 5	solanum_phureja|09v1ISPHB G132158	2639	4602	703	85.4	globlastp
LNU971_H1 6	solanum_phureja|09v1|SPHAI 776714	2640	4603	703	85.3	globlastp
LNU971_H1 7	eggplant|10v1|FS009193_P1	2641	4604	703	84	globlastp
LNU971_H1 8	potato|10v1|BG589613_P1	2642	4605	703	83.8	globlastp
LNU971_H1 9	tomato|11v1|SRR027939S023 2941	2643	4606	703	82.9	globlastp
LNU971_H2 2	nicotiana_benthamiana|12v1| AM836977_T1	2644	4607	703	82.13	glotblastn
LNU971_H2 0	tomato|11v1|BG125614	2645	4608	703	81.5	globlastp
LNU971_H2 1	pepper|12v1|BM061037_P1	2646	4609	703	80.9	globlastp
LNU972_H2	nicotiana_benthamiana|12v1| EB699638_P1	2647	4610	704	91.4	globlastp
LNU975_H1	solanum_phureja|09v1|SPHBI 422101	2648	4611	705	85.2	glotblastn
LNU975_H2	solanum_phureja|09v1ISPHAI 896166_T1	2649	4612	705	80.17	glotblastn
LNU976_H1	pseudoroegneria|gb167|FF347 407	2650	4613	706	93.2	globlastp
LNU976_H2	rye|12v1|DRR001012.364991	2651	4614	706	91.47	glotblastn
LNU976_H3	leymus|gb166|CD808542_P1	2652	4615	706	89.9	globlastp
LNU977_H2	wheat|12v3|BM137333	2653	4616	707	86.1	globlastp
LNU977_H1 0	rice|11v1|C91689_P1	2654	4617	707	81.5	globlastp
LNU977_H1 1	sorghum|12v1|SB01G048800 _P1	2655	4618	707	80.7	globlastp
LNU977_H1 2	maize|10v1|CO519634_T1	2656	4619	707	80.23	glotblastn
LNU750_H1	wheat|12v3|BQ744292	2657	4620	713	89.2	globlastp
LNU750_H2	rye|12v1|DRR001012.14416	2658	4621	713	88.8	globlastp
LNU771_H1	wheat|12v3|BM068568	2659	4622	715	96.7	globlastp
LNU771_H2	rye|12v1|DRR001013.372156	2660	4623	715	87.38	glotblastn
LNU771_H3	wheat|12v3|BE426855	2661	4624	715	84.3	globlastp
LNU771_H4	fescue|gb161|DT701171_P1	2662	4625	715	84	globlastp
LNU771_H5	rye|12v1|DRR001012.320596	2663	4626	715	82.4	globlastp
LNU771_H6	rye|12v1|DRR001017.135239 6	2664	4627	715	81.6	globlastp
LNU772_H7	lolium|10v1|EY457993_T1	2665	4628	716	91.41	glotblastn
LNU772_H1 2	sorghum|12v1|CD209835	2666	4629	716	87.5	glotblastn
LNU785_H1	rye|12v1|DRR001012.10208	2667	4630	717	95.63	glotblastn
LNU785_H2	wheat|12v3|CA653207	2668	4631	717	89.2	globlastp
LNU786_H1	wheat|12v3|BJ222677	2669	4632	718	94.89	glotblastn
LNU786_H2	rye|12v1|DRR001012.114677	2670	4633	718	93.69	glotblastn
LNU786_H4	brachypodium|12v1|BRADI3 G52470_T1	2671	4634	718	86.3	glotblastn
LNU786_H5	wheat|12v3|SRR400820X100 908D1	2672	4635	718	84.9	glotblastn
LNU786_H6	wheat|12v3|CA500094	2673	4636	718	83.88	glotblastn
LNU786_H7	rice|11v1|AU062764	2674	4637	718	81.85	glotblastn
LNU786_H8	maize|10v1|AW076421_T1	2675	4638	718	81.29	glotblastn
LNU786_H9	foxtail_millet|11v3|PHY7SIO1 6091M_T1	2676	4639	718	81.18	glotblastn
LNU786_H1 0	sorghum|12v1|SB04G030880	2677	4640	718	80.7	glotblastn
LNU786_H1 1	switchgrass|12v1|FL710092_ T1	2678	4641	718	80.05	glotblastn
LNU787_H5	sorghum|12v1|SB10G022920	2679	4642	719	85.9	globlastp
LNU787_H1 5	switchgrass|12v1|GD039082_ T1	2680	4643	719	83.45	glotblastn
LNU806_H3	rice|11v1|CI312268	2681	4644	721	84.1	glotblastn
LNU806_H4	brachypodium|12v1IBRADI3 G14530_T1	2682	4645	721	83.18	glotblastn
LNU806_H5	rye|12v1|DRR001012.245949	2683	4646	721	80.43	glotblastn
LNU806_H6	wheat|12v3|CA745011	2684	4647	721	80.43	glotblastn
LNU837_H8	switchgrass|12v1|FL706711_ T1	2685	4648	722	87.5	glotblastn
LNU837_H4	foxtail_millet|11v3|PHY7SI03 6733M_T1	2686	4649	722	83.33	glotblastn
LNU837_H9	switchgrass|12v1|FL875810_ T1	2687	4650	722	82.29	glotblastn
LNU837_H5	switchgrass|gb167|FL706712	2688	4651	722	82.29	glotblastn
LNU837_H1 0	switchgrass|12v1|FL893419_ T1	2689	4652	722	81.25	glotblastn
LNU837_H6	switchgrass|gb167|FL696926	2690	4653	722	81.25	glotblastn
LNU837_H1 1	switchgrass|12v1|FL696926_ T1	2691	4654	722	80.21	glotblastn
LNU837_H7	millet|10v1|EVO454PM10671 5_T1	2692	4655	722	80.21	glotblastn
LNU856_H1	foxtail_millet|11v3|PHY7SI00 6280M_P1	2693	4656	726	91.5	globlastp
LNU856_H3	millet|10v1|CD725559_P1	2694	4657	726	90.5	globlastp
LNU856_H4	sorghum|12v1|SB05G003390	2695	4658	726	90.3	globlastp
LNU856_H5	foxtail_millet|11v3|PHY7SI01 7030M_P1	2696	4659	726	89.1	globlastp
LNU856_H1 2	switchgrass|12v1|FL749250_ P1	2697	4660	726	88.9	globlastp
LNU856_H6	maize|10v1|BM895627_P1	2698	4661	726	87.9	globlastp
LNU856_H8	rice|11v1|BI811616	2699	4662	726	84.2	globlastp
LNU856_H9	brachypodium|12v1|BRADI1 G43000_P1	2700	4663	726	82.4	globlastp
LNU856_H1 0	brachypodium|12v1|BRADI2 G09570_P1	2701	4664	726	80.7	globlastp
LNU856_H1 1	barley|12v1|BI949641_T1	2702	4665	726	80.08	glotblastn
LNU862_H1 0	sugarcane|10v1|CA147410	2703	4666	728	84.3	globlastp
LNU862_H1 3	maize|10v1|BU037296_P1	2704	4667	728	81.9	globlastp
LNU862_H1 5	barley|12v1|AV921382_T1	2705	4668	728	80.84	glotblastn
LNU866_H1	sorghum|12v1|SB12V1CUFF 392T1P3	2706	4669	729	95	globlastp
LNU866_H2	maize|10v1|AI854982_P1	2707	4670	729	88.9	globlastp
LNU866_H3	foxtail_millet|11v3|PHY7SI03 4627M_P1	2708	4671	729	83.2	globlastp
LNU866_H4	millet|10v1|EVO454PM02444 1_T1	2709	4672	729	80.82	glotblastn
LNU870_H1	foxtail_millet|11v3|PHY7SI03 4640M_P1	2710	4673	730	91.1	globlastp
LNU910_H1 1	switchgrass|12v1|FL927878_ T1	2711	4674	736	93.48	glotblastn
LNU911_H1	maize|10v1|AI622711_P1	2712	4675	737	83.6	globlastp
LNU951_H1	foxtail_millet|11v3|PHY7SI00 9880M_P1	2713	4676	739	82.4	globlastp
LNU951_H2	switchgrass|12v1|FL765313_ P1	2714	4677	739	80.3	globlastp
LNU956_H1	sugarcane|10v1|BQ533901	2715	4678	741	93.94	glotblastn
LNU956_H3	maize|10v1|AW191064_T1	2716	4679	741	87.59	glotblastn
LNU956_H9	switchgrass|12v1|FL728285_ T1	2717	4680	741	82.79	glotblastn
LNU956_H6	millet|10v1|EVO454PM00084 6_T1	2718	4681	741	82.04	glotblastn
LNU956_H7	rice|11v1|AA749599	2719	4682	741	81.25	glotblastn
LNU956_H8	brachypodium|12v1IBRADI4 G04270_T1	2720	4683	741	80	glotblastn
LNU972_H1	solanum_phureja|09v1|SPHAI 775263	2721	4684	743	96.6	globlastp
LNU977_H8	wheat|12v3|SRR400820X118 5207D1	2722	4685	745	87.8	globlastp
LNU749_H1	wheat|12v3|BQ905774	2723	4686	747	93.4	globlastp
LNU749_H2	rye|12v1|DRR001012.593230	2724	4687	747	90.9	globlastp
LNU749_H3	brachypodium|12v1|BRADI4 G10110_P1	2725	4688	747	81.4	globlastp
LNU752_H1	rye|12v1|DRR001012.165407	2726	4689	748	96.9	globlastp
LNU752_H2	wheat|12v3|BE415379	2727	4690	748	96.7	globlastp
LNU766_H4	brachypodium|12v1|BRADI1 G59210_P1	2728	4691	749	90	globlastp
LNU769_H2	wheat|12v3|BE427519	2729	4692	750	94.4	globlastp
LNU769_H1	wheat|12v3|BE402340	2730	4693	750	94.2	globlastp
LNU769_H3	wheat|12v3|BQ841839	2731	4694	750	93.7	globlastp
LNU769_H4	rye|12v1|BE705675	2732	4695	750	92.9	globlastp
LNU769_H5	wheat|12v3|CA692455	2733	4696	750	92.5	globlastp
LNU769_H6	rye|12v1|DRR001012.119684	2734	4697	750	91.9	globlastp
LNU769_H7	wheat|12v3|CD888102	2735	4698	750	86.9	globlastp
LNU769_H1 1	rice|11v1|AU030808	2736	4699	750	82.4	globlastp
LNU769_H9	sorghum|12v1ISB09G026980	2737	4700	750	82.3	globlastp
LNU769_H1 0	foxtail_millet|11v3|PHY7SI02 6215M_P1	2738	4701	750	82	globlastp
LNU769_H1 2	maize|10v1|CD445089_P1	2739	4702	750	81.9	globlastp
LNU769_H1 5	switchgrass|12v1|DN151230_ P1	2740	4703	750	81.2	globlastp
LNU769_H1 6	switchgrass|12v1|GD008102_ T1	2741	4704	750	81.03	glotblastn
LNU773_H6	sorghum|12v1|SB01G001980	2742	4705	751	80.6	globlastp
LNU780_H1	wheat|12v3|BM137500	2743	4706	753	81.2	globlastp
LNU784_H1	wheat|12v3|BE406457	2744	4707	754	84.1	globlastp
LNU784_H2	rye|12v1|DRR001012.297633	2745	4708	754	81.7	globlastp
LNU786_H3	rye|12v1|DRR001012.109215	2746	4709	755	90.1	globlastp
LNU788_H4	foxtail_millet|11v3|PHY7SI00 6617M_P1	2747	4710	756	83.8	globlastp
LNU804_H1	foxtail_millet|11v3|PHY7SI00 9871M_P1	2748	4711	758	82.5	globlastp
LNU804_H2	switchgrass|gb167|FE603029	2749	4712	758	82	globlastp
LNU804_H3	sorghum|12v1ISB06G022510	2750	4713	758	80.2	globlastp
LNU804_H4	sorghum|12v1|SB06G022500 _P1	2751	4714	758	80	globlastp
LNU806_H7	switchgrass|12v1|SRR187768. 79981_P1	2752	4715	759	88.3	globlastp
LNU806_H8	switchgrass|12v1|DN145288_ P1	2753	4716	759	87.3	globlastp
LNU806_H1	sorghum|12v1|SB07G002850	2754	4717	759	81.3	globlastp
LNU806_H2	maize|10v1|CD966203_P1	2755	4718	759	80.6	globlastp
LNU816_H1	foxtail_millet|11v3|GT091139 _P1	2756	4719	761	95.8	globlastp
LNU816_H2	sorghum|12v1|SB04G029730	2757	4720	761	95.7	globlastp
LNU816_H3	maize|10v1|BQ485722_P1	2758	4721	761	95.6	globlastp
LNU816_H1 6	switchgrass|12v1IFL715086_ P1	2759	4722	761	94.6	globlastp
LNU816_H4	millet|10v1|EVO454PM00853 5_P1	2760	4723	761	94.5	globlastp
LNU816_H7	rye|12v1|BF145541	2761	4724	761	87.6	globlastp
LNU816_H8	barley|12v1|AV909829_P1	2762	4725	761	86.6	globlastp
LNU816_H1 7	switchgrass|12v1|FL746777_ P1	2763	4726	761	83.3	globlastp
LNU816_H9	wheat|12v3|BE400688	2764	4727	761	82.5	globlastp
LNU816_H1 1	wheat|12v3|TAU67717	2765	4728	761	82	globlastp
LNU816_H1 2	barley|12v1|EX595315_P1	2766	4729	761	81.8	globlastp
LNU816_H1 3	wheat|12v3|SRR400820X100 8111D1	2767	4730	761	80.88	glotblastn
LNU816_H1 4	wheat|12v3|SRR400820X103 4615D1	2768	4731	761	80.88	glotblastn
LNU816_H1 5	brachypodium|12v1|BRADI1 G42750_P1	2769	4732	761	80.7	globlastp
LNU821_H1	sorghum|12v1|SB02G033100	2770	4733	764	95.9	globlastp
LNU821_H2	foxtail_millet|11v3|PHY7SI02 9452M_P1	2771	4734	764	90.7	globlastp
LNU821_H3	rice|11v1|BI808865	2772	4735	764	82.3	globlastp
LNU821_H4	brachypodium|12v1|BRADI1 G28110T2_P1	2773	4736	764	81.1	globlastp
LNU824_H2	sorghum|12v1|SB03G004750	2774	4737	765	96.9	globlastp
LNU824_H3	sugarcane|10v1ICA072104	2775	4737	765	96.9	globlastp
LNU824_H4	foxtail_millet|11v3|PHY7SI00 2015M_P1	2776	4738	765	95.8	globlastp
LNU824_H6	switchgrasslgb167|FL699463	2777	4739	765	95.2	globlastp
LNU824_H5 2	switchgrass|12v|FE635824_ P1	2778	4740	765	94.7	globlastp
LNU824_H7	rice|11v1|U37978	2779	4741	765	92.7	globlastp
LNU824_H8	brachypodium|12v1IBRADI2 G04130_P1	2780	4742	765	91.6	globlastp
LNU824_H9	barley|12v1|BI954198_P1	2781	4743	765	91.3	globlastp
LNU824_H1 0	fescue|gb161|DT698307_P1	2782	4744	765	91.3	globlastp
LNU824_H1 1	oat|11v1|GO582430XX1_P1	2783	4745	765	91.3	globlastp
LNU824_H1 2	rye|12v1|DRR001012.148971	2784	4743	765	91.3	globlastp
LNU824_H1 3	rye|12v1|DRR001012.252020	2785	4743	765	91.3	globlastp
LNU824_H1 4	rice|11v1|AB060277	2786	4746	765	91	globlastp
LNU824_H1 5	wheat|12v3|BE444676	2787	4747	765	91	globlastp
LNU824_H1 6	rye|12v1|DRR001012.21112	2788	4748	765	90.73	glotblastn
LNU824_H1 7	sorghum|12v1ISB09G005010	2789	4749	765	89.9	globlastp
LNU824_H5 3	switchgrass|12v1|DN141584_ P1	2790	4750	765	89.9	globlastp
LNU824_H1 8	foxtail_millet|11v3|PHY7SI02 2491M_P1	2791	4751	765	89.6	globlastp
LNU824_H1 9	maize|10v1|AI783320_P1	2792	4752	765	89.6	globlastp
LNU824_H2 0	switchgrass|gb167|DN141584	2793	4753	765	89.6	globlastp
LNU824_H5 4	switchgrass|12v1|FE599982_ P1	2794	4753	765	89.6	globlastp
LNU824_H2 2	millet|10vl1|CD725074_P1	2795	4754	765	89.3	globlastp
LNU824_H2 3	barley|12v1|BI959386_P1	2796	4755	765	88.8	globlastp
LNU824_H2 4	brachypodium|12v1IBRADI2 G34470_P1	2797	4756	765	88.8	globlastp
LNU824_H2 5	oat|11v1|CN816246_P1	2798	4757	765	88.5	globlastp
LNU824_H2 6	rye|12v1|DRR001012.242642	2799	4758	765	88.2	globlastp
LNU824_H3 1	rye|12v1|DRR001012.153481	2800	4759	765	85.7	globlastp
LNU824_H5 5	switchgrass|12v1IDN145318_ P1	2801	4760	765	83.7	globlastp
LNU824_H3 2	cacao|10v1|CU505404_P1	2802	4761	765	82.5	globlastp
LNU824_H3 4	sugarcane|10v1|CA084205	2803	4762	765	82.3	globlastp
LNU824_H3 3	euonymus|11v1|SRR070038X 188424_P1	2804	4763	765	82.1	globlastp
LNU824_H3 5	grape|11v1IGSVIVT01024573001_P1	2805	4764	765	81.8	globlastp
LNU824_H3 6	orange|11v1|CF418875_P1	2806	4765	765	81.6	globlastp
LNU824_H4 3	tripterygiumll1v1ISRR09867 7X105610	2807	4766	765	81.01	glotblastn
LNU824_H3 8	euphorbia|11v|DV129031_P1	2808	4767	765	81	globlastp
LNU824_H3 9	papaya|gb165|EX228132_P1	2809	4768	765	81	globlastp
LNU824_H4 0	amborella|12v3|CK763625_P1	2810	4769	765	80.8	globlastp
LNU824_H4 8	grape|11v1IGSVIVT01032677001_P1	2811	4770	765	80.8	globlastp
LNU824_H5 6	castorbean|12v1|EE260514_P 1	2812	4771	765	80.8	globlastp
LNU824_H4 6	ambrosia|11v1ISRR346935.200226_P1	2813	4772	765	80.7	globlastp
LNU824_H4 4	cottonl11v1|CO077706_P1	2814	4773	765	80.6	globlastp
LNU824_H4 5	gossypium_raimondii|12v1|B E054298_P1	2815	4773	765	80.6	globlastp
LNU824_H5 1	beech|11v1ISRR006293.9817_T1	2816	4774	765	80.39	glotblastn
LNU824_H5 0	cotton|11v1|BE054298_P1	2817	4775	765	80.3	globlastp
LNU824_H5 7	chestnut|gb170|SRR00629550 038807_P1	2818	4776	765	80.2	globlastp
LNU824_H5 8	eucalyptus|11v2|CB967757_P 1	2819	4777	765	80.2	globlastp
LNU824_H5 9	amsonia|11v1|SRR098688X1 58094_T1	2820	4778	765	80.17	glotblastn
LNU829_H2	maize|10v1|SRR014550S0010 991_T1	2821	4779	767	94.63	glotblastn
LNU829_H3	sugarcane|10v1ICF572667	2822	4780	767	94.48	glotblastn
LNU829_H8	switchgrass|12v1|SRR187765.561639_P1	2823	4781	767	93.8	globlastp
LNU829_H6	sorghum|12v1|SB12V2PRD0 06827	2824	4782	767	90	glotblastn
LNU829_H7	rice|11v1IAF171223	2825	4783	767	81.4	globlastp
LNU831_H1	sorghum|12v1|SB01G011000	2826	4784	768	84.92	glotblastn
LNU831_H2	foxtail_millet|11v3|PHY7SI03 6219M_P1	2827	4785	768	84.1	globlastp
LNU833_H1	sorshum|12v1ISB02G029650	2828	4786	769	91.9	globlastp
LNU833_H3	foxtail_millet|11v3|EC612621_P1	2829	4787	769	87	globlastp
LNU847_H1	trigonella|11v1ISRR066194X264388	2830	4788	772	94.4	globlastp
LNU847_H2	soybean|12v1IGLYMA17G02 680_P1	2831	4789	772	83	globlastp
LNU847_H3	bean|12v2|SRR001334.10255 2_P1	2832	4790	772	82	globlastp
LNU847_H4	soybean|12v1|GLYMA07G38 020_P1	2833	4791	772	80.4	globlastp
LNU858_H3	maize|10v1|BM266633_P1	2834	4792	774	93.5	globlastp
LNU858_H4	maize|10v1|AI834674_P1	2835	4793	774	90.3	globlastp
LNU858_H1	foxtail_millet|11v3|PHY7SI01 6470M_P1	2836	4794	774	86.9	globlastp
LNU858_H2	millet|10v1|EVO454PM00243 6_P1	2837	4795	774	86.6	globlastp
LNU858_H5	switchgrass|12v1IFE613408_ P1	2838	4796	774	85.2	globlastp
LNU858_H6	switchgrass|12v1|FL693746_ P1	2839	4797	774	81.8	globlastp
LNU898_H1	sorghum|12v1|SB04G003360	2840	4798	778	94.3	globlastp
LNU898_H2	foxtail_millet|11v3|PHY7SI01 7281M_P1	2841	4799	778	93.7	globlastp
LNU898_H3	milled10v1|EVO454PM00528 7_P1	2842	4800	778	93.7	globlastp
LNU898_H4	maize|10v1|AI948259_T1	2843	4801	778	93.63	glotblastn
LNU898_H5	maize|10v1|BQ538526_P1	2844	4802	778	93.2	globlastp
LNU898_H9	switchgrass|12v1IFE615026_ P1	2845	4803	778	92.5	globlastp
LNU898_H6	switchgrasslgb167|FL699057	2846	4804	778	91.84	glotblastn
LNU898_H7	rice|11v1|BE229038	2847	4805	778	86	globlastp
LNU898_H8	brachypodium|12v1IBRADI3 G03680_P1	2848	4806	778	82.9	globlastp
LNU900_H7	rice|11v1IAU083413	2849	4807	779	83.4	globlastp
LNU901_H2	maize|10v1|AW244952_P1	2850	4808	780	90.1	globlastp
LNU901_H3	foxtail_millet|11v3|PHY7SI00 1444M_P1	2851	4809	780	88.8	globlastp
LNU901_H4	brachypodium|12v1IBRADI2 G02560T2_P1	2852	4810	780	84.5	globlastp
LNU901_H5	wheat|12v3|BE606820	2853	4811	780	83.6	globlastp
LNU901_H8	rye|12v1|BE586835	2854	4812	780	82.47	glotblastn
LNU901_H6	rice|11v1|BI806473	2855	4813	780	82.4	globlastp
LNU901_H7	barley|12v1|BI952377_P1	2856	4814	780	82.4	globlastp
LNU901_H9	rye|12v1|DRR001012.187398	2857	4815	780	81.42	glotblastn
LNU904_H2	foxtail_millet|11v3|EC613499 _P1	2858	4816	781	82.1	globlastp
LNU906_H1	maize|10v1|AW055628_P1	2859	4817	782	88.2	globlastp
LNU906_H2	maize|10v1|BQ703950_P1	2860	4818	782	88.2	globlastp
LNU906_H3	foxtail_millet|11v3|PHY7SI00 0363M_P1	2861	4819	782	84	globlastp
LNU909_H2	foxtail_millet|11v3|PHY7SI00 0744M_P1	2862	4820	784	84.6	globlastp
LNU909_H3	switchgrass|gb167IFL723049	2863	4821	784	82.21	glotblastn
LNU909_H5	switchgrass|12v1IFL977640_ T1	2864	4822	784	82.1	glotblastn
LNU909_H4	milled10v1|EVO454PM00817 9_P1	2865	4823	784	82.1	globlastp
LNU911_H2	foxtail_millet|11v3|PHY7SI00 0115M_P1	2866	4824	785	85.1	globlastp
LNU930_H1	maize|10v1|AW787241_P1	2867	4825	786	91.5	globlastp
LNU930_H4	switchgrass|12v1|FL706853_ T1	2868	4826	786	83.49	glotblastn
LNU930_H2	switchgrass|gb167|FE618499	2869	4827	786	82.9	globlastp
LNU930_H5	switchgrass|12v1IFE618499_ P1	2870	4828	786	82.4	globlastp
LNU930_H3	foxtail_millet|11v3|EC613524 _P1	2871	4829	786	80.8	globlastp
LNU932_H1	maize|10v1|T27560_P1	2872	4830	787	85.1	globlastp
LNU938_H1	maize|10v1|DN222454_P1	2873	4831	789	87.6	globlastp
LNU938_H2	foxtail_millet|11v3|PHY7SI02 7048M_P1	2874	4832	789	83.9	globlastp
LNU938_H4	switchgrass|12v1|SRR187769. 1104778_T1	2875	4833	789	83.33	glotblastn
LNU938_H5	switchgrass|12v1FL787692_ P1	2876	4834	789	82.6	globlastp
LNU938_H3	sorghum|12v1|SB0SG025910	2877	4835	789	81.1	globlastp
LNU938_H6	foxtail_millet|11v3|PHY7SI02 7821M_P1	2878	4836	789	80.7	globlastp
LNU954_H1	sugarcane|10v1|BQ533017_P 1	2879	4837	791	94.2	globlastp
LNU954_H2	foxtail_millet|11v3|PHY7SI02 2586M_P1	2880	4838	791	83	globlastp
LNU954_H3	cenchrus|gb166|EB653183_P 1	2881	4839	791	81	globlastp
LNU956_H2	maize|10v1|AW520032_T1	2882	4840	792	89.58	glotblastn
LNU956_H4	switchgrass|gb167IFL701157	2883	4841	792	85.12	glotblastn
LNU956_H1 0	switchgrass|12v1|FL701157_ P1	2884	4842	792	83.3	globlastp
LNU956_H5	foxtail_millet|11v3|PHY7SI02 1390M_P1	2885	4843	792	82.7	globlastp
LNU968_H1	maize|10v1|BI233953_P1	2886	4844	793	80.7	globlastp
LNU977_H4	rye|12v1|DRR001012.145037	2887	4845	794	97.3	globlastp
LNU977_H5	rye|2v1|DRR001012.173329	2888	4846	794	96.7	globlastp
LNU977_H6	rye|12v1|DRR001012.153346	2889	4847	794	96.7	globlastp
LNU977_H7	barley|12v1|BF254361_P1	2890	4848	794	96.3	globlastp
LNU977_H3	rye|12v1|DRR001012.735828	2891	4849	794	95.89	glotblastn
LNU977_H1	wheat|12v3|BE398977	2892	4850	794	93.7	globlastp
LNU977_H9	brachypodium|12v1|BRADI1 G76830_P1	2893	4851	794	88.3	globlastp
LNU977_H1 3	millet|10v1||EVO454PM01239 9_T1	2894	4852	794	81.4	glotblastn
LNU977_H1 4	foxtail_millet|11v3|PHY7SI03 5189M_P1	2895	4853	794	80.7	globlastp
LNU977_H1 5	switchgrass|12v1|FL721232_ P1	2896	4854	794	80.3	globlastp
LNU977_H1 6	switchgrass|12v1|FL901810_ T1	2897	4855	794	80.04	glotblastn
Table 2: Provided are the homologous (e.g., orthologous) polypeptides and polynucleotides of the genes identified in Table 1 and of their cloned genes, which can increas nitrogen use efficiency, fertilizer use efficiency, yield, seed yield, growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, abiotic stress tolerance and/or water use efficiency of a plant. Homology was calculated as% of identity over the aligned sequences. The query sequences were polypeptide sequences SEQ ID NOs:496-794 and polynucleotide sequences SEQ ID NOs: 1-495, and the subject sequences are polypeptide sequences or polynucleotide sequences which were dynamically translated in all six reading frames identified in the database based on greater than 80% identity to the query polypeptide sequences. “Polyp.”= polypeptide; “Polyn.” - Polynucleotide. Algor. = Algorithm. “globlastp” - global homology using blastp; “glotblastn” - global homology using tblastn. “Hom.” - homologous. “ident” = identity.

The output of the functional genomics approach described herein is a set of genes highly predicted to improve nitrogen use efficiency, fertilizer use efficiency, yield, seed yield, growth rate, vigor, biomass, oil content, fiber yield, fiber length, fiber quality, abiotic stress tolerance and/or water use efficiency of a plant by increasing their expression.

Although each gene is predicted to have its own impact, modifying the mode of expression of more than one gene or gene product (RNA, polypeptide) is expected to provide an additive or synergistic effect on the desired trait (e.g., nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, vigor, biomass, oil content, abiotic stress tolerance and/or water use efficiency of a plant). Altering the expression of each gene described here alone or of a set of genes together increases the overall yield and/or other agronomic important traits, hence expects to increase agricultural productivity.

Example 3

Production of Barley Transcriptom and High Throughput Correlation Analysis Using 44K Barley Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a Barley oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 47,500 Barley genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 25 different Barley accessions were analyzed. Among them, 13 accessions encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Experimental Procedures

Analyzed Barley tissues - Five tissues at different developmental stages [meristem, flower, booting spike, stem, flag leaf], representing different plant characteristics, were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 3 below.

Barley transcriptom expression sets
Expression Set  Set ID
booting spike   1
flowering spike 2
meristem        3
Stem            4
Table 3.

Barley yield components and vigor related parameters assessment - 25 Barley accessions in 4 repetitive blocks (named A, B, C, and D), each containing 4 plants per plot were grown at net house. Plants were phenotyped on a daily basis following the standard descriptor of barley (Table 4, below). Harvest was conducted while 50% of the spikes were dry to avoid spontaneous release of the seeds. Plants were separated to the vegetative part and spikes, of them, 5 spikes were threshed (grains were separated from the glumes) for additional grain analysis such as size measurement, grain count per spike and grain yield per spike. All material was oven dried and the seeds were threshed manually from the spikes prior to measurement of the seed characteristics (weight and size) using scanning and image analysis. The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program - ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Barley standard descriptors
Trait	Parameter	Range	Description
Growth habit	Scoring	1-9	Prostrate (1) or Erect (9)
Hairiness of basal leaves	Scoring	P (Presence)/A (Absence)	Absence (1) or Presence (2)
Stem pigmentation	Scoring	1-5	Green (1), Basal only or Half or more (5)
Days to Flowering	Days		Days from sowing to emergence of awns
Plant height	Centimeter (cm)		Height from ground level to top of the longest spike excluding awns
Spikes per plant	Number		Terminal Counting
Spike length	Centimeter (cm)		Terminal Counting 5 spikes per plant
Grains per spike	Number		Terminal Counting 5 spikes per plant
Vegetative dry weight	Gram		Oven-dried for 48 hours at 70° C.
Spikes dry weight	Gram		Oven-dried for 48 hours at 30° C.
Table 4.

Grains per spike - At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected. The total number of grains from 5 spikes that were manually threshed was counted. The average grain per spike was calculated by dividing the total grain number by the number of spikes.

Grain average size (cm) - At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected. The total grains from 5 spikes that were manually threshed were scanned and images were analyzed using the digital imaging system. Grain scanning was done using Brother scanner (model DCP-135), at the 200 dpi resolution and analyzed with Image J software. The average grain size was calculated by dividing the total grain size by the total grain number.

Grain average weight (mgr) - At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected. The total grains from 5 spikes that were manually threshed were counted and weight. The average weight was calculated by dividing the total weight by the total grain number.

Grain yield per spike (gr) - At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected. The total grains from 5 spikes that were manually threshed were weight. The grain yield was calculated by dividing the total weight by the spike number.

Spike length analysis - At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected. The five chosen spikes per plant were measured using measuring tape excluding the awns.

Spike number analysis - At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected. The spikes per plant were counted.

Growth habit scoring - At the growth stage 10 (booting), each of the plants was scored for its growth habit nature. The scale that was used was 1 for prostate nature till 9 for erect.

Hairiness of basal leaves - At the growth stage 5 (leaf sheath strongly erect; end of tillering), each of the plants was scored for its hairiness nature of the leaf before the last. The scale that was used was 1 for prostate nature till 9 for erect.

Plant height - At the harvest stage (50% of spikes were dry) each of the plants was measured for its height using measuring tape. Height was measured from ground level to top of the longest spike excluding awns.

Days to flowering - Each of the plants was monitored for flowering date. Days of flowering was calculated from sowing date till flowering date.

Stem pigmentation - At the growth stage 10 (booting), each of the plants was scored for its stem color. The scale that was used was 1 for green till 5 for full purple.

Vegetative dry weight and spike yield - At the end of the experiment (50% of the spikes were dry) all spikes and vegetative material from plots within blocks A-D were collected. The biomass and spikes weight of each plot was separated, measured and divided by the number of plants.

Dry weight = total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours;

Spike yield per plant = total spike weight per plant (gr) after drying at 30° C. in oven for 48 hours.

Harvest Index (for barley) - The harvest index was calculated using Formula XVIII above.

Barley correlated parameters (vectors)
Correlated parameter with (units) Correlation Id
Grain weight (miligrams)         1
Grains Size (mm2)                2
Grains per spike (numbers)       3
Growth habit (scores 1-9)        4
Hairiness of basal leaves (scoring 1-2) 5
Plant height (cm)                6
Seed Yield of 5 Spikes (gram)    7
Spike length (cm)                8
Spikes per plant (numbers)       9
Stem pigmentation (scoring 1-5)  10
Vegetative dry weight (gram)     11
days to flowering (days)         12
Table 5.

Experimental Results

13 different Barley accessions were grown and characterized for 13 parameters as described above. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 6 and 7 below. Subsequent correlation analysis between the various transcriptom sets (Table 3) and the average parameters, was conducted. Follow, results were integrated to the database.

Measured parameters of correlation Ids in Barley accessions
Accession /Parameter	1	2	3	4	5	6
Line-1	35.046	0.265	20.229	2.600	1.533	134.267
Line-2	28.065	0.229	17.983	2.000	1.333	130.500
Line-3	28.761	0.244	17.267	1.923	1.692	138.769
Line-4	17.869	0.166	17.733	3.167	1.083	114.583
Line-5	41.216	0.295	14.467	4.333	1.417	127.750
Line-6	29.734	0.275	16.783	2.692	1.692	129.385
Line-7	25.224	0.220	12.120	3.600	1.300	103.889
Line-8	34.994	0.278	14.067	3.500	1.188	121.625
Line-9	20.580	0.187	21.540	3.000	1.000	126.800
Line-10	27.501	0.224	12.100	3.667	1.167	99.833
Line-11	37.126	0.273	13.400	2.467	1.600	121.400
Line-12	29.564	0.271	15.283	3.500	1.083	118.417
Line-13	19.583	0.179	17.067	3.000	1.167	117.167
Table 6: Provided are the values of each of the parameters measured in Barley accessions according to the correlation identifications (Correlation IDs Table 5 above).

Accession /Parameter	7	8	9	10	11	12
Line-1	3.559	12.036	48.846	1.133	78.871	62.400
Line-2	2.538	10.932	48.273	2.500	66.141	64.083
Line-3	2.583	11.825	37.417	1.692	68.491	65.154
Line-4	1.574	9.900	61.917	1.750	53.389	58.917
Line-5	3.030	11.682	33.273	2.333	68.300	63.000
Line-6	2.517	11.532	41.692	2.308	74.173	70.538
Line-7	1.549	8.863	40.000	1.700	35.354	52.800
Line-8	2.624	11.216	40.625	2.188	58.334	60.875
Line-9	2.300	11.108	62.000	2.300	62.230	58.100
Line-10	1.678	8.583	49.333	1.833	38.322	53.000
Line-11	2.677	10.179	50.600	3.067	68.306	60.400
Line-12	2.353	10.505	43.091	1.583	56.148	64.583
Line-13	1.673	9.803	51.400	2.167	42.682	56.000
Table 7. Provided are the values of each of the parameters measured in Barley accessions according to the correlation identifications (Correlation IDs Table 5 above).

Correlation between the expression level of the selected polynucleotides of the invention and their homologues in specific tissues or developmental stages and the phenotypic performance across Barley accessions
Gene Name	R	P value	Exp. set	Corr. Set ID	Gene Name	R	P value	Exp. set	Corr. Set ID
LNU750	0.80	5.15E-03	2	9	LNU756	0.70	1.59E-02	3	2
LNU756	0.73	1.05E-02	3	1	LNU756	0.74	8.57E-03	3	5
LNU757	0.75	7.80E-03	1	7	LNU757	0.74	8.71E-03	1	11
LNU761	0.74	9.03E-03	3	1	LNU761	0.72	1.20E-02	3	6
LNU761	0.85	9.78E-04	3	8	LNU761	0.88	4.09E-04	3	7
LNU761	0.76	6.14E-03	3	11	LNU766	0.73	1.10E-02	1	5
LNU767	0.82	2.06E-03	3	2	LNU767	0.87	5.84E-04	3	1
LNU767	0.77	6.08E-03	3	8	LNU767	0.94	1.99E-05	3	7
LNU767	0.85	9.09E-04	3	11	LNU767	0.76	6.33E-03	3	12
LNU768	0.79	3.98E-03	1	9	LNU768	0.73	1.74E-02	2	4
LNU768	0.75	7.84E-03	3	9	LNU770	0.72	1.20E-02	1	9
LNU771	0.70	2.32E-02	2	5	LNU771	0.78	4.51E-03	3	2
LNU771	0.74	9.02E-03	3	1	LNU773	0.75	7.74E-03	3	9
LNU774	0.81	2.78E-03	3	2	LNU774	0.87	4.25E-04	3	1
LNU774	0.71	1.36E-02	3	7	LNU780	0.70	1.56E-02	1	2
LNU780	0.77	6.07E-03	1	1	LNU780	0.86	1.40E-03	2	4
LNU782	0.74	8.54E-03	3	8	LNU785	0.70	1.57E-02	1	8
LNU834	0.75	7.95E-03	3	1	LNU839	0.75	7.95E-03	3	1
Table 8. Provided are the correlations (R) and p-values (P) between the expression levels of selected genes of some embodiments of the invention in various tissues or developmental stages (Expression sets) and the phenotypic performance in various yield (seed yield, oil yield, oil content), biomass, growth rate and/or vigor components [Correlation (Corr.) vector (Vec.) Expression (Exp.)] Corr. Vector = correlation vector specified in Table 5; Exp. Set = expression set specified in Table 3.

Example 4

Production of Barley Transcriptom and High Throughput Correlation Analysis Using 60K Barley Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a Barley oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 60 K Barley genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 15 different Barley accessions were analyzed. Among them, 10 accessions encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Experimental Procedures

Analyzed Barley tissues - Tissues at different developmental stages representing different plant characteristics, were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Tables 9-11 below.

Barley transcriptom expression sets under normal and low N conditions (at vegetative stage)
Expression Set     Set ID
Adv root/T3/low N  1
Adv root/T3/normal 2
Leaf/T3/low N      3
Leaf/T3/normal     4
Root tip/T3/low N  5
Root tip/T3/normal 6
Table 9. Provided are the barley transcriptom expression sets under normal and low N (low nitrogen) conditions (at vegetative stage).

Barley transcriptom expression sets under normal and low N conditions (at reproductive stage)
Set ID Expression Set
1      reproductive/booting spike/low N
2      reproductive/booting spike/normal
3      reproductive/leaf/low N
4      reproductive/leaf/normal:
5      reproductive/stem/low N
6      reproductive/stem/normal
Table 10. Provided are the barley transcriptom expression sets under normal and low N conditions (at reproductive stage).

Barley transcriptom expression sets under drought conditions (at vegetative stage)
Set ID Expression Set
1      Drought/booting spike/reproductive
2      Drought/leaf/reproductive
3      Drought/leaf/vegetative
4      Drought/meristems/vegetative
5      Drought/root tip/vegetative
6      Drought/root tip/vegetative
Table 11. Provided are the barley transcriptom expression sets under drought conditions (at vegetative stage).

Barley yield components and vigor related parameters assessment - 15 Barley accessions in 5 repetitive blocks, each containing 5 plants per pot were grown at net house. Three different treatments were applied: plants were regularly fertilized and watered during plant growth until harvesting (as recommended for commercial growth, plants were irrigated 2-3 times a week, and fertilization was given in the first 1.5 months of the growth period) or under low Nitrogen (80% percent less Nitrogen) or under drought stress (cycles of drought and re-irrigating were conducted throughout the whole experiment, overall 40% less water were given in the drought treatment). Plants were phenotyped on a daily basis following the parameters listed in Table 12 below. Harvest was conducted while all the spikes were dry. All material was oven dried and the seeds were threshed manually from the spikes prior to measurement of the seed characteristics (weight and size) using scanning and image analysis. The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program - ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Grain yield (gr.) - At the end of the experiment all spikes of the pots were collected. The total grains from all spikes that were manually threshed were weighted. The grain yield was calculated by per plot or per plant.

Spike length and width analysis - At the end of the experiment the length and width of five chosen spikes per plant were measured using measuring tape excluding the awns.

Spike number analysis - The spikes per plant were counted.

Plant height - Each of the plants was measured for its height using measuring tape. Height was measured from ground level to top of the longest spike excluding awns at two time points at the Vegetative growth (30 days after sowing) and at harvest.

Spike weight - The biomass and spikes weight of each plot was separated, measured and divided by the number of plants.

Dry weight = total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours at two time points at the Vegetative growth (30 days after sowing) and at harvest.

Spikelet per spike = number of spikelets per spike was counted.

Root/Shoot Ratio - The Root/Shoot Ratio is calculated using Formula XXII above.

Total No. of tillers- all tillers were counted per plot at two time points at the Vegetative growth (30 days after sowing) and at harvest.

Percent of reproductive tillers - the number of reproductive tillers barring a spike at harvest was divided by the total numbers of tillers.

SPAD - Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.

Root FW (gr.), root length (cm) and No. of lateral roots - 3 plants per plot were selected for measurement of root weight, root length and for counting the number of lateral roots formed.

Shoot FW (fresh weight) - weight of 3 plants per plot were recorded at different time-points.

Average Grain Area (cm²) - At the end of the growing period the grains were separated from the spike. A sample of ~200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Average Grain Length and width (cm) - At the end of the growing period the grains were separated from the spike. A sample of ~200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths or width (longest axis) was measured from those images and was divided by the number of grains.

Average Grain perimeter (cm) - At the end of the growing period the grains were separated from the spike. A sample of ~200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain perimeter was measured from those images and was divided by the number of grains.

Heading date - the day in which booting stage was observed was recorded and number of days from sowing to heading was calculated.

Relative water content - Fresh weight (FW) of three leaves from three plants each from different seed ID was immediately recorded; then leaves were soaked for 8 hours in distilled water at room temperature in the dark, and the turgid weight (TW) was recorded. Total dry weight (DW) was recorded after drying the leaves at 60° C. to a constant weight. Relative water content (RWC) is calculated according to Formula I above.

Harvest Index (for barley) - The harvest index was calculated using Formula XVIII above.

Relative growth rate: the relative growth rate (RGR) of Plant Height (Formula III above), SPAD (Formula IV above) and number of tillers (Formula V above) were calculated using the indicated formulas.

Ratio Drought/Normal: Represents ratio for the specified parameter of Drought condition results divided by Normal conditions results (maintenance of phenotype under drought in comparison to normal conditions).

Barley correlated parameters (vectors) under normal and low N conditions (at vegetative stage)
Correlated parameter with        Correlation ID
Lateral roots per plant at TP3 [number] Normal 1
Leaf Area [cm2]                  2
Leaf Number - TP4 - Low N [number] 3
Leaf maximal length at TP4 [mm] Normal 4
Leaf maximal width at TP4 [mm] Normal 5
Leaf maximal length at TP4 [mm] Low N 6
Leaf maximal width at TP4 [mm] Low N 7
Lateral roots per plant at TP3 [number] Low N 8
No of tillers -Low N -TP2 [number] 9
Num Leaves [number]              10
Num Seeds [number]               11
Num Spikes [number]              12
Num Tillers [number]             13
Plant Height (cm)-Normal         14
Plant Height (cm)-Low N          15
Plant Height (cm)-Low N-TP2      16
Root FW per plant at vegetative stage [gr.] Normal 17
Root length per plant at vegetative stage [cm] Normal 18
Root FW per plant at vegetative stage [gr.] Low N 19
Root length per plant at vegetative stage [cm] Low N 20
Chlorophyll level at vegetative stage [SPAD] Normal 21
Chlorophyll level at vegetative stage [SPAD] Low N 22
Seed Yield [gr.]                 23
Seed Number (per plot)- Low N [number] 24
Seed Yield (gr) -Low N           25
Seed Yield (gr) -Normal          26
Shoot FW per plant at vegetative stage [gr.] Normal 27
Spike length [cm] Normal         28
Spike width [mm] Normal          29
Spike total weight (per plot)- normal [gr.] 30
Spike Length (cm)-Low N          31
Spike Width (cm)-Low N           32
Spike total weight (per plot)-Low N [gr.] 33
Total Tillers [number]           34
Total Leaf Area (mm2)-TP4 - Low N 35
Total No of Spikes per plot-Low N [number] 36
Total No of tillers per plot-Low N [number] 37
shoot FW (gr)-Low N -TP2         38
Table 12. Provided are the barley correlated parameters. “TP” = time point; “DW” = dry weight; “FW” = fresh weight; “Low N” = Low Nitrogen.

Barley correlated parameters (vectors) under normal and low N conditions (at reproductive stage)
Correlation ID Correlated parameter with
1              Grain Perimeter [mm]
2              Grain area [mm]
3              Grain length [mm]
4              Grain width [mm]
5              Grains DW/ Shoots DW
6              Grains per plot [number]
7              Grains weight per plant [gr.]
8              Grains weight per plot [gr.]
9              Plant Height [cm]
10             Roots DW [gr.]
11             Row number [number]
12             Spikes FW (Harvest) [gr.]
13             Spikes num [number]
14             Tillering (Harvest) [number]
15             Vegetative DW (Harvest) [gr.]
16             percent of reproductive tillers [percent]
17             shoot/root ratio
Table 13. Provided are the barley correlated parameters under normal and low N conditions (at reproductive stage). “TP” = time point; “DW” = dry weight; “FW” = fresh weight; “Low N” = Low Nitrogen; “Relative water content [percent] Ratio Drought/Normal” -maintenance of phenotype under drought in comparison to normal conditions

Barley correlated parameters (vectors) under drought conditions (at vegetative stage)
Correlation ID Correlated parameter with
1              Chlorophyll level vegetative stage [SPAD] Drought
2              Shoot DW at harvest [gr.]
3              Shoot DW at harvest per plant [gr.] Drought
4              Shoot FW per plant at harvest [gr.] Drought
5              Grains per plant [number] Drought
6              Grain yield per plant [gr.] Drought
7              Harvest index
8              Heading date [days] Drought
9              RGR by plant height Drought
10             Number of tillers Relative growth rate
11             Plant height per plot at harvest [cm] Drought
12             RBiH/BiH
13             Relative water content vegetative [percent] Drought
14             Root DW per plant vegetative stage [gr.] Drought
15             Root FW per plant vegetative stage [gr.] Drought
16             Root length per plant vegetative [cm] Drought
17             RGR by chlorophyll levels Drought
18             Spike length [cm] Drought
19             Spikes per plant [number] Drought
20             Spikes yield per plant [gr.] Drought
21             Spike width [mm] Drought
22             Tillers per plant at harvest [number] Drought
23             Lateral roots per plant vegetative [number] Drought
Table 14. Provided are the barley correlated parameters under drought conditions (at vegetative stage). “RBiH/BiH” = root- shoot ratio

Experimental Results

15 different Barley accessions were grown and characterized for different parameters as described above. Tables 12-14 describe the Barley correlated parameters. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 15-24 below. Subsequent correlation analysis between the various transcriptom sets and the average parameters was conducted. Follow, results were integrated to the database.

Measured parameters of correlation IDs in Barley accessions under low N conditions (at vegetative stage)
Corr. ID/ Line	3	6	7	8	9	15	16	19	20	22
Line-1	8.0	102.9	5.3	5.0	0.0	41.0	16.3	0.4	24.7	24.0
Line-2	8.0	107.8	5.2	6.0	0.0	82.0	18.8	0.2	21.7	23.3
Line-3	7.5	111.6	5.1	4.3	0.0	61.4	17.3	0.1	22.0	26.5
Line-4	8.5	142.4	5.3	6.0	0.0	59.4	26.0	0.4	21.7	23.9
Line-5	10.0	152.4	5.2	6.3	0.0	65.8	22.5	0.9	22.2	26.6
Line-6	11.5	149.3	5.3	6.0	0.0	47.8	18.2	0.5	23.0	23.2
Line-7	8.6	124.1	5.3	6.7	0.0	53.8	19.7	0.4	30.5	25.4
Line-8	6.3	95.0	5.1	4.7	0.0	56.4	19.8	0.3	22.8	24.2
Line-9	7.5	124.1	5.2	5.7	0.0	81.8	19.2	0.3	23.8	25.0
Line-10	10.0	135.2	5.1	7.3	0.0	44.6	19.2	0.6	24.5	26.1
Table 15: Provided are the values of each of the parameters (as described above) measured in Barley accessions (line) under low N conditions. Growth conditions are specified in the experimental procedure section.

Measured parameters of correlation IDs in additional Barley accessions under low N conditions (at vegetative stage)
Corr. ID/ Line	24	25	26	31	32	33	35	36	37	38
Line-1	230.2	9.8	46.4	15.2	8.0	13.7	39.4	12.2	16.2	0.4
Line-2	164.6	7.3	19.8	19.6	8.1	13.4	46.3	9.0	14.6	0.4
Line-3	88.3	3.3	10.8	16.3	9.4	9.2	51.5	11.6	16.0	0.3
Line-4	133.6	5.1	22.6	19.3	4.9	11.6	57.1	25.0	20.8	0.6
Line-5	106.0	6.0	30.3	90.2	9.6	11.3	67.8	7.8	12.5	0.8
Line-6	222.6	9.7	54.1	16.4	7.2	15.1	64.2	14.5	18.8	0.5
Line-7	219.2	7.4	37.0	20.4	7.1	12.2	52.4	15.0	21.2	0.5
Line-8	143.5	5.8	42.0	18.8	8.5	11.0	46.2	7.0	11.0	0.4
Line-9	201.8	7.8	35.4	18.8	10.0	12.2	68.0	5.4	6.8	0.5
Line-10	125.0	6.3	38.3	16.6	9.4	10.6	57.9	8.4	14.0	0.6
Table 16. Provided are the values of each of the parameters (as described above) measured in Barley accessions (line) under low N conditions. Growth conditions are specified in the experimental procedure section.

Measured parameters of correlation IDs Barley accessions under normal conditions (at vegetative stage)
Corr. ID/Line	1	2	4	5	10	11	12	13	14	14
Line-1	7.0	294.0	502.0	5.8	24.2	1090.0	41.5	2.0	64.7	64.7
Line-2	8.7	199.0	348.0	5.5	18.2	510.0	32.0	2.0	84.0	84.0
Line-3	8.3	273.0	499.0	5.8	22.7	242.0	36.0	1.0	67.4	67.4
Line-4	9.7	276.0	594.0	6.0	25.5	582.0	71.4	2.3	82.0	82.0
Line-5	10. 7	313.0	535.0	4.6	23.2	621.0	34.2	2.3	72.0	72.0
Line-6	9.7	309.0	551.0	5.3	28.3	1070.0	45.6	3.3	56.6	56.6
Line-7	9.7	259.0	479.0	5.8	22.2	903.0	49.8	2.3	65.8	65.8
Line-8	8.7	291.0	399.0	5.4	19.0	950.0	28.0	1.3	62.8	62.8
Line-9	10. 0	299.0	384.0	5.8	17.3	984.0	19.3	1.3	91.6	91.6
Line-10	9.7	296.0	470.0	6.0	22.0	768.0	38.0	1.7	66.2	66.2
Table 17: Provided are the values of each of the parameters (as described above) measured in Barley accessions (line) under normal conditions. Growth conditions are specified in the experimental procedure section.

Measured parameters of correlation IDs in additional Barley accessions under normal conditions (at vegetative stage)
Corr. ID/Line	17	18	21	23	27	28	29	30	34
Line-1	0.27	21.30	39.10	46.40	2.17	16.50	9.54	69.40	46.70
Line-2	0.27	15.00	41.40	19.80	1.90	19.20	9.05	39.40	41.60
Line-3	0.25	21.80	35.20	10.80	1.25	18.30	8.25	34.90	40.00
Line-4	0.35	20.30	33.70	22.60	3.00	20.40	6.55	50.30	48.80
Line-5	0.62	27.20	34.20	30.30	15.60	17.20	10.50	60.80	34.60
Line-6	0.27	16.00	42.80	54.10	3.02	19.10	8.83	79.10	48.60
Line-7	0.35	24.00	37.00	37.00	2.58	20.30	7.38	62.70	49.20
Line-8	0.32	13.50	36.90	42.00	1.75	21.70	10.40	60.00	29.00
Line-9	0.23	21.50	35.00	35.40	2.18	16.50	10.20	55.90	27.50
Line-10	0.27	15.20	36.80	38.30	1.82	16.10	10.30	59.70	38.80
Table 18. Provided are the values of each of the parameters (as described above) measured in Barley accessions (line) under normal conditions. Growth conditions are specified in the experimental procedure section.

Measured parameters of correlation IDs in Barley accessions under low N conditions (at reproductive stage)
Corr. ID/ Line	1	2	3	4	5	6	7	8	9
Line-1	2.24	0.25	0.89	0.35	0.40	683.40	6.65	33.24	76.40
Line-2	2.24	0.24	0.87	0.35	0.16	510.50	3.96	19.81	84.00
Line-3	2.18	0.24	0.86	0.35	1.01	1093.50	9.27	46.37	64.67
Line-4	2.05	0.23	0.80	0.37	0.79	767.60	7.65	38.25	66.20
Line-5	2.08	0.24	0.83	0.37	0.41	621.00	6.06	30.30	72.00
Line-6	2.03	0.25	0.78	0.41	0.99	1069.00	10.83	54.13	56.60
Line-7	2.25	0.24	0.90	0.35	0.67	987.75	7.94	39.69	68.00
Line-8	1.88	0.22	0.72	0.39	0.61	903.20	7.40	36.98	65.80
Line-9	2.09	0.23	0.82	0.36	0.28	581.80	4.52	22.58	82.00
Line-10	2.03	0.22	0.79	0.36	1.04	904.40	8.41	39.68	62.80
Line-11	2.02	0.24	0.80	0.37	0.12	242.40	2.00	10.84	67.40
Line-12	1.98	0.21	0.80	0.34	0.86	928.40	8.05	40.26	76.20
Line-13	1.69	0.18	0.65	0.35	0.58	984.20	7.08	35.37	91.60
Line-14	1.98	0.19	0.82	0.29	0.05	157.67	0.75	3.73	44.00
Line-15	1.89	0.17	0.77	0.29	0.08	263.25	1.14	5.68	52.75
Table 19: Provided are the values of each of the parameters (as described above) measured in Barley accessions (line) under low N conditions (at reproductive stage). Growth conditions are specified in the experimental procedure section.

Measured parameters of correlation IDs in additional Barley accessions under low N conditions (at reproductive stage)
Corr. ID/ Line	10	11	12	13	14	15	16	17
Line-1	118.30	6.00	69.84	38.60	44.25	89.20	82.30	1.48
Line-2	150.68	6.00	39.86	32.00	41.60	99.65	77.75	0.64
Line-3	86.28	6.00	69.40	41.50	46.67	45.79	86.69	0.84
Line-4	85.19	6.00	59.72	38.00	38.80	49.39	94.23	0.82
Line-5	120.31	6.00	60.83	34.20	34.60	74.32	89.74	1.15
Line-6	90.70	2.80	79.12	45.60	48.60	55.11	93.73	0.69
Line-7	40.58	6.00	63.50	30.00	32.40	47.29	89.49	1.26
Line-8	90.51	2.00	62.74	49.80	55.20	60.32	90.28	0.72
Line-9	92.59	2.00	50.30	71.40	50.60	88.01	91.21	1.17
Line-10	63.95	5.20	59.95	28.00	29.00	38.89	92.50	0.71
Line-11	286.63	6.00	34.92	36.00	40.00	97.71	91.73	0.38
Line-12	95.79	6.00	60.08	27.60	28.50	48.33	85.31	0.51
Line-13	34.04	6.00	55.88	23.60	27.50	62.52		2.16
Line-14	121.27	4.67	16.93	54.67	26.00	57.97		0.67
Line-15	206.75	4.00	21.70	48.00		72.78		0.40
Table 20. Provided are the values of each of the parameters (as described above) measured in Barley accessions (line) under low N conditions (at reproductive stage). Growth conditions are specified in the experimental procedure section.

Measured parameters of correlation IDs Barley accessions under accessions under normal conditions (at reproductive stage)
Corr. ID/ Line	1	2	3	4	5	6	7	8	9
Line-1	2.29	0.25	0.90	0.35	0.39	153.20	1.34	6.68	75.20
Line-2	2.33	0.25	0.92	0.35	0.42	164.60	1.46	7.31	82.00
Line-3	2.28	0.26	0.93	0.35	1.25	230.20	1.95	9.76	41.00
Line-4	2.08	0.24	0.82	0.36	0.69	125.00	1.26	6.29	44.60
Line-5	2.13	0.25	0.86	0.37	0.43	100.00	1.13	5.67	65.80
Line-6	1.96	0.23	0.76	0.38	0.87	222.60	1.95	9.74	47.80
Line-7	2.09	0.23	0.83	0.35	0.77	159.40	1.28	6.40	60.60
Line-8	1.88	0.21	0.74	0.36	0.53	219.20	1.47	7.35	53.80
Line-9	2.19	0.24	0.86	0.35	0.34	133.60	0.98	5.06	59.40
Line-10	1.88	0.20	0.73	0.35	0.87	134.40	1.16	5.43	56.40
Line-11	2.03	0.22	0.81	0.35	0.15	88.25	0.92	4.62	61.40
Line-12	2.11	0.23	0.85	0.35	0.58	174.25	1.34	6.67	65.60
Line-13	1.77	0.19	0.68	0.36	0.76	201.80	1.57	7.83	81.80
Line-14	2.00	0.19	0.81	0.30	0.05	86.67	0.29	1.44	69.00
Line-15	1.90	0.17	0.79	0.28	0.07	61.60	0.22	1.12	57.40
Table 21: Provided are the values of each of the parameters (as described above) measured in Barley accessions (line) under normal conditions (at reproductive stage). Growth conditions are specified in the experimental procedure section.

Measured parameters of correlation IDs in additional Barley accessions under accessions under normal conditions (at reproductive stage)
Corr. ID/ Line	10	11	12	13	14	15	16	17
Line-1	39.91	6.00	11.40	10.80	16.00	17.42	68.69	0.69
Line-2	26.24	6.00	13.44	9.00	14.60	17.76	61.85	1.08
Line-3	17.31	6.00	13.74	12.20	16.20	8.25	76.94	0.77
Line-4	32.91	6.00	10.62	8.40	14.00	7.28	59.63	0.38
Line-5	33.87	6.00	11.34	7.80	12.50	13.25	65.63	0.83
Line-6	83.84	2.00	15.06	14.50	18.80	11.32	79.84	0.42
Line-7	29.65	6.00	11.64	8.40	11.60	8.95	73.85	0.29
Line-8	37.21	2.00	12.18	15.00	21.20	14.18	71.01	0.57
Line-9	44.38	2.00	11.64	25.00	23.50	15.68	95.83	0.60
Line-10	14.46	5.20	8.76	7.00	11.00	6.42	64.87	0.55
Line-11	41.54	6.00	9.15	11.60	16.00	55.92	68.75	2.88
Line-12	23.75	6.00	12.42	7.60	10.75	11.54	74.24	1.36
Line-13	20.87	6.00	12.18	5.40	6.75	10.88	81.40	0.89
Line-14	49.69	2.00	5.68	16.40	35.00	58.92	37.14	2.49
Line-15	54.02	2.00	5.04	12.00		17.05		0.40
Table 22. Provided are the values of each of the parameters (as described above) measured in Barley accessions (line) under normal conditions (at reproductive stage). Growth conditions are specified in the experimental procedure section.

Additional measured parameters of correlation IDs in Barley accessions under Drought conditions
Corr. ID/ Line	1	2	3	4	5	6	7	8	9	10	11
Line -1	41.3 3	6.15	0.22	1.90	170. 00	5.55	0.47	75.0 0	0.27	0.07	46.0 0
Line -2	33.5 7	5.05	0.21	1.52	267. 50	9.80	0.66	71.0 0	0.86	0.10	52.8 0
Line -3	36.5 7	3.20		1.17	111. 00	3.55	0.53	65.0 0	0.73	0.06	35.0 0
Line -4	40.5 0	3.28		1.95	205. 33	7.20	0.69		0.88	0.07	38.0 0
Line -5	45.0 7	4.76		1.90	153. 60	5.28	0.53	66.7 5	0.40	0.16	45.2 0
Line -6	39.7 3	3.55	0.17	1.22	252. 50	7.75	0.69	90.0 0	0.94	0.06	48.0 0
Line -7	38.3 3	4.52		1.75	288. 40	9.92	0.69	90.0 0	0.70	0.10	37.6 7
Line -8	36.1 7	3.38		1.58	274. 50	10.2 5	0.75		0.71	0.05	41.2 0
Line -9	42.1 3	5.67	0.25	1.88	348. 50	8.50	0.60	90.0 0	0.77	0.10	40.8 0
Line -10	31.7 7	3.31		1.73	358. 00	14.0 3	0.81		0.80	0.06	49.8 6
Line -11	33.4 7	2.65		1.00	521. 39	17.5 2	0.87		0.92	0.06	43.0 0
Line -12	42.3 7	5.12	0.13	0.90	71.5 0	2.05	0.29	90.0 0	0.39	0.18	47.4 0
Line -13	42.2 7	6.86	0.19	0.90	160. 13	5.38	0.44	81.6 0	0.88	0.15	64.8 0
Line -14	36.7 7	3.11	0.22	1.43	376. 67	11.0 0	0.78	90.0 0	-0.13	0.02	52.6 0
Line -15	40.6 3	3.74		0.83	105. 00	2.56	0.41		0.20	0.44	32.0 0
Table 23: Provided are the values of each of the parameters (as described above) measured in Barley accessions (line) under drought growth conditions. Growth conditions are specified in the experimental procedure section.

Additional measured parameters of correlation IDs in additional Barley accessions under Drought conditions
Corr. ID/ Line	12	13	14	15	16	17	18	19	20	21	22	22	23
Line-1	0.01	80.60	77.52	2.07	21.67	0.09	16.70	4.20	17.72	8.64	11.68	11.68	8.33
Line-2	0.01	53.40	60.19	1.48	20.33	0.12	16.85	4.36	24.24	9.07	9.04	9.04	8.67
Line-3	0.01	55.87	27.13	1.12	22.00	0.00	13.27	7.60	18.20	7.83	10.92	10.92	7.33
Line-4	0.01		18.62	1.87	24.00	0.01	13.55	8.44	18.00	7.32	10.16	10.16	7.67
Line-5	0.03	43.22	117.42	1.67	20.67	0.04	14.19	4.92	19.50	8.74	10.32	10. 32	6.67
Line-6	0.02	69.78	70.72	1.68	18.33	- 0.07	15.64	3.43	15.00	7.62	8.78	8.78	6.67
Line-7	0.01	45.49	37.34	1.62	21.00	0.01	15.66	6.90	23.40	6.98	13.00	13.00	7.67
Line-8	0.01	76.51	25.56	0.85	20.33	0.00	17.49	5.80	28.16	8.05	7.44	7.44	6.67
Line-9	0.01	87.41	66.18	1.45	21.67	- 0.06	16.00	8.55	21.96	6.06	13.92	13.92	6.00
Line-10	0.01		22.13	1.38	19.67	0.04	18.31	9.67	33.03	6.73	11.00	11.00	8.67
Line-11	0.02		41.12	0.82	16.67	0.05	17.42	5.42	34.80	9.55	6.78	6.78	7.67
Line-12	0.02	58.32	116.95	0.58	17.00	0.00	14.23	3.05	11.73	7.84	8.45	8.45	6.33
Line-13	0.01	80.58	84.10	0.63	15.17	- 0.07	14.81	4.07	18.78	7.81	9.15	9.15	7.00
Line-14	0.01	73.09	37.46	1.07	27.00	0.03	16.54	3.72	21.00	8.35	5.12	5.12	7.00
Line-15	0.03		98.86	0.70	15.00	- 0.06	12.72	3.21	9.88	5.47	16.13	16.13	6.67
Table 24. Provided are the values of each of the parameters (as described above) measured in Barley accessions (line) under drought growth conditions. Growth conditions are specified in the experimental procedure section.

Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under low nitrogen and normal conditions (at vegetative stage) across Barley accessions
Gene Name	R	P value	Exp. set	Cor. Set ID	Gene Name	R	P value	Exp. set	Cor. Set ID
LNU749	0.76	1.75E-02	1	15	LNU750	0.73	2.45E-02	2	27
LNU750	0.77	1.54E-02	2	17	LNU750	0.87	2.60E-03	3	35
LNU751	0.89	1.30E-03	1	15	LNU751	0.98	2.69E-	2	27
							06
LNU751	0.93	2.74E-04	2	17	LNU751	0.76	1.73E-02	3	15
LNU752	0.72	2.74E-02	1	15	LNU752	0.92	5.34E-04	2	27
LNU752	0.86	2.91E-03	2	17	LNU753	0.84	4.60E-03	3	31
LNU753	0.74	2.15E-02	3	19	LNU754	0.85	3.73E-03	1	19
LNU754	0.78	1.29E-02	1	38	LNU754	0.84	5.09E-03	2	21
LNU754	0.71	3.26E-02	3	31	LNU754	0.86	3.31E-03	3	19
LNU754	0.80	8.98E-03	3	3	LNU754	0.86	3.10E-03	3	38
LNU756	0.94	4.00E-04	4	18	LNU756	0.72	4.47E-02	4	27
LNU756	0.74	3.76E-02	4	17	LNU756	0.70	2.33E-02	5	35
LNU756	0.87	9.76E-04	5	8	LNU756	0.70	2.33E-02	5	38
LNU756	0.74	1.40E-02	5	6	LNU756	0.78	1.34E-02	3	31
LNU756	0.72	2.94E-02	3	38	LNU757	0.70	5.28E-02	6	28
LNU757	0.77	9.44E-03	5	6	LNU757	0.88	1.66E-03	3	20
LNU758	0.79	2.06E-02	4	14	LNU758	0.86	1.27E-03	5	20
LNU758	0.77	1.60E-02	3	24	LNU759	0.80	8.91E-03	3	3
LNU759	0.72	2.87E-02	3	8	LNU760	0.73	3.85E-02	4	18
LNU760	0.74	2.15E-02	3	19	LNU760	0.79	1.07E-02	3	3
LNU760	0.85	4.06E-03	3	22	LNU760	0.73	2.57E-02	3	38
LNU760	0.70	3.50E-02	3	6	LNU761	0.73	4.00E-02	6	10
LNU761	0.81	1.47E-02	6	27	LNU761	0.90	2.64E-03	6	13
LNU761	0.74	2.34E-02	1	15	LNU761	0.83	1.07E-02	4	14
LNU761	0.83	6.15E-03	2	27	LNU761	0.76	1.68E-02	2	17
LNU761	0.86	3.06E-03	3	31	LNU761	0.73	2.49E-02	3	19
LNU762	0.71	4.71E-02	6	27	LNU762	0.84	9.31E-03	6	13
LNU762	0.84	4.92E-03	1	7	LNU762	0.76	1.68E-02	1	37
LNU763	0.81	1.58E-02	6	5	LNU763	0.73	2.70E-02	2	18
LNU763	0.74	2.30E-02	2	27	LNU763	0.74	2.25E-02	2	17
LNU764	0.73	3.83E-02	4	18	LNU764	0.77	9.51E-03	5	26
LNU764	0.77	8.83E-03	5	7	LNU764	0.75	1.26E-02	5	25
LNU764	0.74	1.50E-02	5	33	LNU764	0.76	1.85E-02	3	7
LNU764	0.76	1.68E-02	3	36	LNU764	0.80	9.88E-03	3	16
LNU766	0.71	4.88E-02	6	27	LNU766	0.77	2.65E-02	6	13
LNU766	0.71	3.21E-02	1	8	LNU766	0.87	2.11E-03	1	20
LNU766	0.73	4.02E-02	4	14	LNU766	0.78	7.63E-03	5	19
LNU766	0.83	2.85E-03	5	3	LNU766	0.77	9.25E-03	5	8
LNU766	0.83	6.19E-03	2	21	LNU766	0.71	3.08E-02	3	15
LNU767	0.76	1.02E-02	5	31	LNU767	0.77	1.54E-02	3	31
LNU768	0.84	8.81E-03	6	13	LNU768	0.77	1.43E-02	1	35
LNU768	0.72	2.93E-02	1	6	LNU768	0.74	3.42E-02	4	10
LNU768	0.85	3.32E-03	3	31	LNU769	0.74	2.19E-02	1	24
LNU769	0.77	9.46E-03	5	20	LNU769	0.72	2.94E-02	2	11
LNU770	0.79	6.40E-03	5	19	LNU770	0.77	9.80E-03	5	35
LNU770	0.94	4.58E-05	5	38	LNU770	0.81	4.44E-03	5	6
LNU770	0.73	2.54E-02	3	19	LNU770	0.78	1.29E-02	3	3
LNU770	0.83	6.19E-03	3	38	LNU770	0.72	2.94E-02	3	6
LNU771	0.74	3.66E-02	4	10	LNU771	0.90	2.59E-03	4	18
LNU771	0.76	1.64E-02	2	29	LNU772	0.72	4.44E-02	6	5
LNU772	0.73	4.12E-02	4	34	LNU772	0.70	5.24E-02	4	18
LNU772	0.77	1.60E-02	2	18	LNU773	0.78	2.35E-02	6	12
LNU773	0.75	3.21E-02	6	27	LNU773	0.72	3.00E-02	1	20
LNU773	0.88	7.99E-04	5	8	LNU773	0.82	7.06E-03	3	31
LNU773	0.93	3.04E-04	3	19	LNU773	0.84	4.98E-03	3	3
LNU773	0.94	2.08E-04	3	38	LNU773	0.82	6.35E-03	3	6
LNU774	0.92	1.27E-03	6	5	LNU774	0.83	5.80E-03	1	31
LNU774	0.73	2.53E-02	1	19	LNU774	0.75	1.97E-02	1	38
LNU774	0.73	3.92E-02	4	1	LNU774	0.80	1.80E-02	4	27
LNU774	0.80	1.70E-02	4	17	LNU774	0.84	4.74E-03	2	18
LNU774	0.85	3.61E-03	2	27	LNU774	0.86	2.84E-03	2	17
LNU774	0.93	3.07E-04	3	31	LNU774	0.84	5.09E-03	3	19
LNU774	0.74	2.28E-02	3	35	LNU774	0.89	1.46E-03	3	38
LNU774	0.77	1.45E-02	3	6	LNU775	0.72	4.43E-02	6	21
LNU775	0.73	4.07E-02	6	27	LNU775	0.76	2.95E-02	6	13
LNU775	0.70	3.53E-02	1	24	LNU775	0.73	3.80E-02	4	2
LNU775	0.78	1.28E-02	3	31	LNU775	0.71	3.36E-02	3	38
LNU776	0.82	1.33E-02	4	28	LNU776	0.89	2.89E-03	4	13
LNU776	0.80	9.89E-03	3	31	LNU776	0.73	2.67E-02	3	19
LNU776	0.79	1.15E-02	3	35	LNU776	0.83	5.87E-03	3	38
LNU776	0.88	1.76E-03	3	6	LNU776	0.79	1.14E-02	3	16
LNU777	0.94	4.33E-04	6	17	LNU777	0.87	2.53E-03	1	19
LNU777	0.96	4.74E-05	1	38	LNU777	0.79	1.16E-02	1	6
LNU777	0.83	5.49E-03	3	31	LNU777	0.86	3.12E-03	3	19
LNU777	0.80	9.73E-03	3	38	LNU778	0.79	1.94E-02	6	13
LNU778	0.87	4.98E-03	6	14	LNU778	0.73	1.74E-02	5	25
LNU778	0.70	2.30E-02	5	33	LNU778	0.82	7.02E-03	2	2
LNU778	0.74	2.19E-02	3	3	LNU778	0.79	1.12E-02	3	38
LNU778	0.82	7.05E-03	3	6	LNU779	0.77	1.61E-02	3	19
LNU779	0.91	7.64E-04	3	3	LNU779	0.74	2.40E-02	3	8
LNU779	0.82	7.27E-03	3	38	LNU779	0.73	2.55E-02	3	6
LNU780	0.74	3.59E-02	4	1	LNU780	0.73	1.56E-02	5	8
LNU780	0.77	8.82E-03	5	38	LNU780	0.76	1.80E-02	2	27
LNU780	0.75	2.06E-02	2	17	LNU780	0.91	6.27E-04	3	31
LNU780	0.86	2.62E-03	3	19	LNU780	0.82	7.00E-03	3	38
LNU781	0.73	4.00E-02	6	17	LNU781	0.74	2.31E-02	1	31
LNU781	0.70	2.29E-02	5	19	LNU781	0.83	3.24E-03	5	38
LNU781	0.88	1.93E-03	2	27	LNU781	0.89	1.49E-03	2	17
LNU781	0.73	2.64E-02	3	15	LNU782	0.79	2.01E-02	4	34
LNU782	0.72	4.27E-02	4	21	LNU782	0.71	5.05E-02	4	13
LNU783	0.79	1.92E-02	6	13	LNU783	0.73	2.48E-02	3	7
LNU783	0.74	2.19E-02	3	36	LNU784	0.76	2.89E-02	6	5
LNU784	0.96	5.76E-05	2	27	LNU784	0.92	4.48E-04	2	17
LNU784	0.78	1.26E-02	3	35	LNU785	0.73	3.88E-02	6	34
LNU785	0.82	1.24E-02	6	12	LNU785	0.85	7.06E-03	6	10
LNU785	0.73	4.02E-02	6	4	LNU785	0.78	2.36E-02	6	27
LNU785	0.80	1.77E-02	6	13	LNU785	0.81	8.50E-03	1	20
LNU785	0.70	2.42E-02	5	7	LNU785	0.76	1.15E-02	5	24
LNU785	0.80	5.77E-03	5	25	LNU785	0.81	4.47E-03	5	33
LNU785	0.94	1.75E-04	2	27	LNU785	0.90	8.48E-04	2	17
Table 25. Provided are the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector (Cor))] under normal and low nitrogen conditions across barley varieties. P = p value.

Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under low nitrogen and normal conditions (at reproductive stage) across Barley accessions
Gene Name	R	P value	Exp. set	Cor. Set ID	Gene Name	R	P value	Exp. set	Cor. Set ID
LNU749	0.701	2.39E-02	3	4	LNU749	0.744	1.36E-02	3	10
LNU749	0.715	2.00E-02	3	12	LNU749	0.730	1.66E-02	6	15
LNU749	0.801	5.32E-03	6	10	LNU749	0.713	2.05E-02	5	14
LNU749	0.736	1.52E-02	4	9	LNU750	0.707	2.22E-02	1	9
LNU751	0.854	1.67E-03	3	13	LNU753	0.713	2.06E-02	2	6
LNU753	0.781	7.69E-03	2	7	LNU753	0.814	4.12E-03	2	8
LNU753	0.752	1.22E-02	2	12	LNU753	0.793	6.18E-03	3	17
LNU754	0.707	2.23E-02	5	2	LNU754	0.708	2.21E-02	5	1
LNU754	0.734	1.56E-02	5	3	LNU756	0.759	1.10E-02	4	17
LNU757	0.886	6.40E-04	2	14	LNU757	0.837	2.52E-03	2	13
LNU757	0.761	1.05E-02	6	10	LNU757	0.747	1.29E-02	1	13
LNU758	0.765	9.99E-03	6	15	LNU758	0.746	1.32E-02	1	9
LNU759	0.720	1.88E-02	2	5	LNU759	0.739	1.45E-02	2	7
LNU759	0.715	2.01E-02	2	8	LNU760	0.732	1.61E-02	2	13
LNU761	0.784	7.28E-03	3	17	LNU761	0.759	1.08E-02	6	6
LNU761	0.720	1.89E-02	6	5	LNU761	0.737	1.49E-02	6	7
LNU761	0.731	1.62E-02	6	8	LNU761	0.745	1.33E-02	5	17
LNU762	0.745	1.34E-02	5	13	LNU763	0.721	1.87E-02	2	13
LNU763	0.838	2.46E-03	6	15	LNU763	0.797	5.78E-03	5	14
LNU763	0.719	1.91E-02	4	15	LNU764	0.729	1.68E-02	3	13
LNU764	0.719	1.91E-02	3	16	LNU764	0.746	1.32E-02	5	4
LNU764	0.709	2.17E-	5	10	LNU764	0.762	1.03E-	1	9
-	-	02	-	-	-	-	02	-	-
LNU766	0.766	9.84E-03	2	9	LNU766	0.718	1.94E-02	3	9
LNU766	0.763	1.03E-02	1	17	LNU766	0.782	7.49E-03	1	9
LNU767	0.822	3.53E-03	5	17	LNU768	0.728	1.70E-02	5	14
LNU769	0.705	2.28E-02	2	1	LNU769	0.713	2.07E-02	2	3
LNU769	0.819	3.79E-03	3	4	LNU769	0.820	3.67E-03	3	10
LNU769	0.723	1.81E-02	1	16	LNU770	0.732	1.62E-02	2	13
LNU770	0.848	1.93E-03	3	13	LNU770	0.772	8.95E-03	3	16
LNU771	0.714	2.04E-02	6	11	LNU771	0.724	1.80E-02	5	4
LNU771	0.855	1.61E-03	1	5	LNU772	0.718	1.93E-02	3	2
LNU772	0.789	6.71E-03	6	15	LNU773	0.801	5.36E-03	3	14
LNU773	0.797	5.81E-03	3	13	LNU773	0.860	1.43E-03	5	4
LNU773	0.836	2.56E-03	1	4	LNU774	0.765	9.96E-03	3	4
LNU774	0.710	3.21E-02	6	16	LNU774	0.848	1.94E-03	1	4
LNU774	0.722	1.84E-02	1	10	LNU775	0.842	2.23E-03	5	16
LNU775	0.753	1.19E-02	4	5	LNU776	0.804	5.07E-03	2	4
LNU776	0.786	7.03E-03	2	14	LNU776	0.717	1.97E-02	2	13
LNU776	0.708	2.21E-02	5	17	LNU777	0.834	2.67E-03	2	13
LNU777	0.769	9.38E-03	4	4	LNU778	0.709	2.16E-02	3	7
LNU778	0.805	4.95E-03	3	10	LNU778	0.714	2.04E-02	3	8
LNU778	0.712	2.10E-02	3	12	LNU778	0.750	1.24E-02	6	2
LNU778	0.759	1.09E-02	4	2	LNU778	0.803	5.15E-03	4	1
LNU778	0.803	5.20E-03	4	3	LNU779	0.856	1.58E-03	3	14
LNU779	0.873	9.80E-04	3	13	LNU779	0.772	8.88E-03	5	10
LNU781	0.715	2.01E-02	3	15	LNU782	0.733	1.58E-02	3	13
LNU782	0.776	8.33E-03	5	4	LNU782	0.730	1.66E-02	4	17
LNU782	0.784	7.30E-03	4	9	LNU782	0.806	4.87E-03	1	4
LNU782	0.858	1.48E-03	1	10	LNU783	0.734	1.57E-02	2	6
LNU783	0.829	3.01E-03	2	7	LNU783	0.848	1.93E-03	2	8
LNU783	0.800	5.45E-03	2	12	LNU783	0.758	1.11E-02	3	4
LNU783	0.734	1.57E-02	3	16	LNU783	0.724	1.79E-02	5	15
LNU783	0.885	6.72E-04	1	16	LNU784	0.801	5.32E-03	3	14
LNU784	0.763	1.03E-02	3	13	LNU784	0.846	2.03E-03	5	10
LNU784	0.744	1.37E-02	4	15	LNU784	0.713	2.07E-02	4	10
LNU784	0.779	7.88E-03	1	4	LNU784	0.832	2.86E-03	1	10
LNU785	0.740	1.43E-02	5	14	-	-	-	-	-
Table 26. Provided are the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector (Cor))] under normal and low nitrogen conditions across barley varieties. P = p value.

Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under drought conditions across Barley accessions
Gene Name	R	P value	Exp. set	Cor. Set ID	Gene Name	R	P value	Exp. set	Cor. Set ID
LNU749	0.859	2.82E-02	1	18	LNU749	0.780	6.74E-02	1	11
LNU749	0.818	4.66E-02	1	20	LNU749	0.798	1.76E-02	3	10
LNU749	0.759	2.90E-02	3	16	LNU749	0.727	4.12E-02	3	11
LNU749	0.735	3.79E-02	5	22	LNU749	0.858	6.39E-03	5	4
LNU749	0.763	2.77E-02	5	15	LNU749	0.739	2.30E-02	4	19
LNU749	0.844	1.69E-02	4	13	LNU749	0.730	2.56E-02	4	12
LNU749	0.717	2.96E-02	4	14	LNU750	0.855	2.99E-02	1	12
LNU750	0.820	4.59E-02	1	2	LNU750	0.872	2.37E-02	1	14
LNU750	0.912	4.21E-03	3	13	LNU750	0.816	1.35E-02	3	14
LNU750	0.787	2.05E-02	3	1	LNU750	0.700	7.97E-02	2	6
LNU751	0.754	8.34E-02	1	2	LNU751	0.762	7.82E-02	1	14
LNU751	0.743	9.09E-02	1	1	LNU751	0.778	2.29E-02	3	10
LNU751	0.887	3.28E-03	3	11	LNU751	0.737	5.88E-02	2	1
LNU751	0.700	3.56E-02	4	12	LNU753	0.734	3.82E-02	3	21
LNU753	0.843	1.73E-02	2	21	LNU753	0.819	2.41E-02	2	12
LNU753	0.777	2.33E-02	5	10	LNU753	0.840	9.13E-03	5	11
LNU753	0.749	3.24E-02	5	2	LNU754	0.743	9.03E-02	1	21
LNU754	0.711	4.80E-02	3	12	LNU754	0.849	1.57E-02	6	13
LNU754	0.747	2.08E-02	6	2	LNU754	0.706	3.36E-02	6	14
LNU754	0.970	6.62E-05	5	14	LNU756	0.784	6.48E-02	1	19
LNU756	0.797	5.77E-02	1	23	LNU756	0.945	3.89E-04	3	19
LNU756	0.767	2.64E-02	3	22	LNU756	0.830	5.66E-03	6	16
LNU756	0.825	2.23E-02	2	5	LNU756	0.835	1.93E-02	2	6
LNU756	0.744	5.51E-02	2	20	LNU756	0.883	3.69E-03	5	19
LNU756	0.886	1.45E-03	4	19	LNU756	0.818	7.03E-03	4	22
LNU756	0.758	1.79E-02	4	4	LNU757	0.713	1.12E-01	1	10
LNU757	0.857	2.94E-02	1	23	LNU757	0.712	1.13E-01	1	6
LNU757	0.798	5.73E-02	1	17	LNU757	0.759	7.99E-02	1	20
LNU757	0.754	5.01E-02	2	11	LNU757	0.882	3.71E-03	5	19
LNU758	0.842	8.67E-03	3	12	LNU758	0.777	3.98E-02	2	16
LNU758	0.768	1.56E-02	4	14	LNU759	0.708	1.15E-01	1	16
LNU759	0.855	6.85E-03	3	21	LNU761	0.712	1.13E-01	1	18
LNU761	0.804	1.62E-02	3	11	LNU761	0.765	2.71E-02	5	17
LNU762	0.774	7.09E-02	1	7	LNU762	0.933	6.54E-03	1	18
LNU762	0.755	8.26E-02	1	5	LNU762	0.922	8.91E-03	1	6
LNU762	0.914	1.08E-02	1	11	LNU762	0.977	7.65E-04	1	20
LNU762	0.934	6.70E-04	3	7	LNU762	0.865	5.58E-03	3	5
LNU762	0.840	9.05E-03	3	6	LNU762	0.752	3.14E-02	5	4
LNU762	0.731	3.94E-02	5	15	LNU764	0.811	1.46E-02	3	22
LNU764	0.838	9.40E-03	3	4	LNU764	0.700	5.30E-02	3	15
LNU764	0.812	7.89E-03	6	5	LNU764	0.772	1.47E-02	6	6
LNU764	0.798	3.13E-02	6	8	LNU764	0.824	2.26E-02	2	10
LNU764	0.794	3.31E-02	2	22	LNU764	0.871	1.08E-02	2	2
LNU764	0.904	5.15E-03	2	1	LNU764	0.724	1.04E-01	5	13
LNU764	0.858	6.46E-03	5	11	LNU764	0.869	1.11E-02	4	13
LNU764	0.725	2.72E-02	4	14	LNU764	0.852	1.50E-02	4	8
LNU766	0.845	3.41E-02	1	21	LNU766	0.797	1.79E-02	3	22
LNU766	0.838	9.35E-03	3	7	LNU766	0.731	3.95E-02	3	16
LNU766	0.787	2.03E-02	3	18	LNU766	0.897	2.51E-03	3	5
LNU766	0.939	5.37E-04	3	6	LNU766	0.714	4.66E-02	3	4
LNU766	0.832	1.04E-02	3	20	LNU766	0.833	5.27E-03	4	19
LNU766	0.864	2.69E-03	4	22	LNU766	0.867	2.49E-03	4	4
LNU767	0.782	6.60E-02	1	23	LNU767	0.754	8.34E-02	1	11
LNU767	0.764	7.73E-02	1	20	LNU767	0.920	1.20E-03	3	17
LNU767	0.737	2.34E-02	6	1	LNU767	0.740	5.72E-02	2	23
LNU767	0.876	9.67E-03	2	11	LNU768	0.769	7.37E-02	1	12
LNU768	0.774	2.43E-02	3	7	LNU768	0.894	6.70E-03	2	16
LNU768	0.766	4.48E-02	2	1	LNU768	0.787	1.19E-02	4	14
LNU770	0.854	3.03E-02	1	23	LNU770	0.849	7.68E-03	3	19
LNU770	0.861	6.00E-03	3	22	LNU770	0.730	6.26E-02	6	8
LNU770	0.728	6.37E-02	2	7	LNU770	0.709	7.46E-02	2	5
LNU770	0.769	4.31E-02	2	6	LNU770	0.817	2.49E-02	2	9
LNU770	0.708	7.53E-02	2	20	LNU770	0.752	1.95E-02	4	19
LNU771	0.735	9.61E-02	1	10	LNU771	0.860	1.30E-02	3	13
LNU771	0.806	1.58E-02	3	2	LNU771	0.852	7.21E-03	3	14
LNU771	0.779	2.26E-02	3	1	LNU771	0.829	2.12E-02	3	8
LNU771	0.725	2.70E-02	6	20	LNU771	0.830	2.08E-02	2	21
LNU771	0.766	4.46E-02	2	5	LNU771	0.749	5.28E-02	2	6
LNU771	0.858	1.34E-02	2	11	LNU771	0.822	2.32E-02	2	12
LNU771	0.958	2.60E-03	5	13	LNU771	0.838	9.44E-03	5	14
LNU771	0.921	1.18E-03	5	1	LNU771	0.710	3.22E-02	4	7
LNU771	0.701	3.55E-02	4	5	LNU771	0.742	2.20E-02	4	6
LNU771	0.745	2.13E-02	4	17	LNU771	0.753	1.91E-02	4	20
LNU772	0.738	9.40E-02	1	18	LNU772	0.749	3.25E-02	3	2
LNU772	0.708	3.29E-02	6	22	LNU772	0.848	3.90E-03	6	4
LNU772	0.754	3.05E-02	5	10	LNU772	0.811	1.47E-02	5	2
LNU772	0.790	1.14E-02	4	2	LNU773	0.772	2.49E-02	3	22
LNU773	0.802	1.66E-02	3	18	LNU773	0.720	6.80E-02	3	8
LNU773	0.899	5.87E-03	6	8	LNU773	0.796	3.24E-02	2	16
LNU774	0.713	1.12E-01	1	22	LNU774	0.705	1.18E-01	1	2
LNU774	0.739	2.28E-02	6	12	LNU774	0.791	1.95E-02	5	17
LNU775	0.747	3.30E-02	3	21	LNU775	0.800	1.70E-02	3	11
LNU775	0.729	4.03E-02	3	14	LNU775	0.725	6.51E-02	6	8
LNU775	0.822	2.33E-02	2	16	LNU775	0.718	4.50E-02	5	9
LNU775	0.731	3.92E-02	5	12	LNU775	0.802	9.27E-03	4	21
LNU776	0.811	5.04E-02	1	1	LNU776	0.808	1.52E-02	3	10
LNU776	0.777	2.33E-02	3	2	LNU776	0.778	3.94E-02	2	2
LNU776	0.734	6.04E-02	2	14	LNU776	0.786	3.61E-02	2	1
LNU776	0.904	8.21E-04	4	10	LNU776	0.741	2.25E-02	4	2
LNU777	0.947	3.54E-04	3	10	LNU777	0.892	2.88E-03	3	2
LNU778	0.712	4.75E-02	3	23	LNU778	0.709	3.24E-02	6	7
LNU778	0.789	1.16E-02	6	5	LNU778	0.805	8.79E-03	6	6
LNU778	0.784	3.71E-02	2	21	LNU778	0.975	9.07E-04	5	8
LNU778	0.703	3.45E-02	4	19	LNU778	0.748	2.04E-02	4	22
LNU780	0.778	6.87E-02	1	23	LNU780	0.785	3.65E-02	6	8
LNU781	0.807	5.20E-02	1	18	LNU781	0.917	1.00E-02	1	5
LNU781	0.837	3.79E-02	1	6	LNU781	0.880	2.06E-02	1	11
LNU781	0.765	7.63E-02	1	20	LNU781	0.910	1.68E-03	3	22
LNU782	0.818	4.67E-02	1	15	LNU782	0.889	3.18E-03	3	11
LNU782	0.715	3.04E-02	6	7	LNU782	0.886	7.89E-03	2	12
LNU782	0.908	4.65E-03	2	14	LNU782	0.721	4.37E-02	5	9
LNU782	0.856	3.21E-03	4	11	LNU782	0.747	2.06E-02	4	14
LNU783	0.762	2.81E-02	3	2	LNU783	0.735	2.40E-02	6	10
LNU783	0.820	2.39E-02	2	21	LNU784	0.782	6.61E-02	1	18
LNU784	0.897	1.54E-02	1	5	LNU784	0.790	6.13E-02	1	6
LNU784	0.746	8.83E-02	1	11	LNU784	0.724	1.04E-01	1	20
LNU784	0.701	5.29E-02	3	22	LNU784	0.776	4.02E-02	3	8
LNU784	0.748	2.04E-02	6	5	LNU784	0.885	8.15E-03	6	8
LNU784	0.710	3.20E-02	4	17	LNU785	0.726	1.03E-01	1	23
LNU785	0.706	1.17E-01	1	18	LNU785	0.779	6.77E-02	1	6
LNU785	0.845	3.43E-02	1	11	LNU785	0.846	3.39E-02	1	20
LNU785	0.708	4.96E-02	3	20	LNU785	0.708	7.53E-02	2	23
LNU785	0.738	5.81E-02	2	17	LNU785	0.769	4.31E-02	4	13
LNU785	0.813	7.74E-03	4	1	LNU834	0.826	4.28E-02	1	10
LNU834	0.866	2.56E-02	1	22	LNU834	0.767	7.48E-02	1	2
LNU834	0.765	7.64E-02	1	14	LNU834	0.824	6.35E-03	6	11
LNU834	0.782	3.78E-02	2	21	LNU834	0.810	2.71E-02	2	5
LNU834	0.792	3.36E-02	2	6	LNU834	0.838	1.87E-02	2	12
LNU834	0.708	7.50E-02	2	20	LNU839	0.826	4.28E-02	1	10
LNU839	0.866	2.56E-02	1	22	LNU839	0.767	7.48E-02	1	2
LNU839	0.765	7.64E-02	1	14	LNU839	0.824	6.35E-03	6	11
LNU839	0.782	3.78E-02	2	21	LNU839	0.810	2.71E-02	2	5
LNU839	0.792	3.36E-02	2	6	LNU839	0.838	1.87E-02	2	12
LNU839	0.708	7.50E-02	2	20
Table 27. Provided are the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector (Cor))] under drought conditions across barley varieties. P = p value.

Example 5

Production of Sorghum Transcriptom and High Throughput Correlation Analysis With Yield, Nue, and Abst Related Parameters Measured in Fields Using 44K Sorguhm Oligonucleotide Micro-Arrays

In order to produce a high throughput correlation analysis between plant phenotype and gene expression level, the present inventors utilized a sorghum oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 44,000 sorghum genes and transcripts. In order to define correlations between the levels of RNA expression with ABST, yield and NUE components or vigor related parameters, various plant characteristics of 17 different sorghum hybrids were analyzed. Among them, 10 hybrids encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Correlation of Sorghum Varieties Across Ecotypes Grown Under Regular Growth Conditions, Severe Drought Conditions and Low Nitrogen Conditions

Experimental Procedures

17 Sorghum varieties were grown in 3 repetitive plots, in field. Briefly, the growing protocol was as follows:

• 1. Regular growth conditions: sorghum plants were grown in the field using commercial fertilization and irrigation protocols (370 liter per meter², fertilization of 14 units of 21% urea per entire growth period).
• 2. Drought conditions: sorghum seeds were sown in soil and grown under normal condition until around 35 days from sowing, around stage V8 (eight green leaves are fully expanded, booting not started yet). At this point, irrigation was stopped, and severe drought stress was developed.
• 3. Low Nitrogen fertilization conditions: sorghum plants were fertilized with 50% less amount of nitrogen in the field than the amount of nitrogen applied in the regular growth treatment. All the fertilizer was applied before flowering.
• Analyzed Sorghum tissues - All 10 selected Sorghum hybrids were sample per each treatment. Tissues [Flag leaf, Flower meristem and Flower] from plants growing under normal conditions, severe drought stress and low nitrogen conditions were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 28 below.

Sorghum transcriptom expression sets in field experiments
Expression Set                   Set ID
Sorghum field/flag leaf/Drought  1
Sorghum field/flag leaf/Low N    2
Sorghum field/flag leaf/Normal   3
Sorghum field/flower meristem/Drought 4
Sorghum field/flower meristem/Low N 5
Sorghum field/flower meristem/Normal 6
Sorghum field/flower/Drought     7
Sorghum field/flower/Low N       8
Sorghum field/flower/Normal      9
Table 28: Provided are the sorghum transcriptom expression sets. Flag leaf = the leaf below the flower; Flower meristem = Apical meristem following panicle initiation; Flower = the flower at the anthesis day.

The following parameters were collected using digital imaging system:

• Average Grain Area (cm²) - At the end of the growing period the grains were separated from the Plant ‘Head’. A sample of ~200 grains were weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.
• Average Grain Length (cm) - At the end of the growing period the grains were separated from the Plant ‘Head’. A sample of ~200 grains were weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths (longest axis) was measured from those images and was divided by the number of grains.
• Head Average Area (cm²) - At the end of the growing period 5 ‘Heads’ were, photographed and images were processed using the below described image processing system. The ‘Head’ area was measured from those images and was divided by the number of ‘Heads’.
• Head Average Length (cm) - At the end of the growing period 5 ‘Heads’ were, photographed and images were processed using the below described image processing system. The ‘Head’ length (longest axis) was measured from those images and was divided by the number of ‘Heads’.

An image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program - ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888x2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

Additional parameters were collected either by sampling 5 plants per plot or by measuring the parameter across all the plants within the plot.

Total Seed Weight per Head (gr.) - At the end of the experiment (plant ‘Heads’) heads from plots within blocks A-C were collected. 5 heads were separately threshed and grains were weighted, all additional heads were threshed together and weighted as well. The average grain weight per head was calculated by dividing the total grain weight by number of total heads per plot (based on plot). In case of 5 heads, the total grains weight of 5 heads was divided by 5.

FW Head per Plant gram - At the end of the experiment (when heads were harvested) total heads and 5 selected heads per plots within blocks A-C were collected separately. The heads (total and 5) were weighted (gr.) separately, and the average fresh weight per plant was calculated for total (FW Head/Plant gr. based on plot) and for 5 (FW Head/Plant gr. based on 5 plants) heads.

Plant height - Plants were characterized for height during growing period at 5 time points. In each measure, plants were measured for their height using a measuring tape. Height was measured from ground level to top of the longest leaf.

Plant leaf number - Plants were characterized for leaf number during growing period at 5 time points. In each measure, plants were measured for their leaf number by counting all the leaves of 3 selected plants per plot.

Relative Growth Rate - was calculated using Formulas III (above) and VIII (above).

SPAD - Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 64 days post sowing. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.

Vegetative dry weight and Heads - At the end of the experiment (when inflorescence were dry) all inflorescence and vegetative material from plots within blocks A-C were collected. The biomass and heads weight of each plot was separated, measured and divided by the number of heads.

Dry weight = total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours;

Harvest Index (HI) (Sorghum)- The harvest index was calculated using Formula XVI above.

FW Heads/(FW Heads + FW Plants) - The total fresh weight of heads and their respective plant biomass was measured at the harvest day. The heads weight was divided by the sum of weights of heads and plants.

Experimental Results

17 different sorghum hybrids were grown and characterized for different parameters (Table 29). The average for each of the measured parameter was calculated using the JMP software (Tables 30-35) and a subsequent correlation analysis was performed (Table 36). Results were then integrated to the database.

Sorghum correlated parameters (vectors)
Correlation ID Correlated parameter with
1              Average Grain Area (cm2), Drought
2              Average Grain Area (cm2), Low N
3              Average Grain Area (cm2), Normal
4              FW - Head/Plant gr (based on plot), Drought
5              FW - Head/Plant gr (based on plot), Low N
6              FW - Head/Plant gr (based on plot), Normal
7              FW - Head/Plant gr (based on 5 plants), Low N
8              FW - Head/Plant gr (based on 5 plants), Normal
9              FW Heads / (FW Heads+ FW Plants)(all plot), Drought
10             FW Heads / (FW Heads+ FW Plants)(all plot), Low N
11             FW Heads / (FW Heads+ FW Plants)(all plot), Normal
12             FW/Plant gr (based on plot), Drought
13             FW/Plant gr (based on plot), Low N
14             FW/Plant gr (based on plot), Normal
15             Final Plant Height (cm), Drought
16             Final Plant Height (cm), Low N
17             Final Plant Height (cm), Normal
18             Head Average Area (cm2), Drought
19             Head Average Area (cm2), Low N
20             Head Average Area (cm2), Normal
21             Head Average Length (cm), Drought
22             Head Average Length (cm), Low N
23             Head Average Length (cm), Normal
24             Head Average Perimeter (cm), Drought
25             Head Average Perimeter (cm), Low N
26             Head Average Perimeter (cm), Normal
27             Head Average Width (cm), Drought
28             Head Average Width (cm), Low N
29             Head Average Width (cm), Normal
30             Leaf SPAD 64 DPS (Days Post Sowing), Drought
31             Leaf SPAD 64 DPS (Days Post Sowing), Low N
32             Leaf SPAD 64 DPS (Days Post Sowing), Normal
33             Lower Ratio Average Grain Area, Low N
34             Lower Ratio Average Grain Area, Normal
35             Lower Ratio Average Grain Length, Low N
36             Lower Ratio Average Grain Length, Normal
37             Lower Ratio Average Grain Perimeter, Low N
38             Lower Ratio Average Grain Perimeter, Normal
39             Lower Ratio Average Grain Width, Low N
40             Lower Ratio Average Grain Width, Normal
41             Total grain weight /Head (based on plot) gr, Low N
42             Total grain weight /Head gr (based on 5 heads), Low N
43             Total grain weight /Head gr (based on 5 heads), Normal
44             Total grain weight /Head gr (based on plot), Normal
45             Total grain weight /Head gr (based on plot) Drought
46             Upper Ratio Average Grain Area, Drought
47             Upper Ratio Average Grain Area, Low N
48             Upper Ratio Average Grain Area, Normal
49             [Grain Yield+plant biomass/SPAD 64 DPS], Normal
50             [Grain Yield+plant biomass/SPAD 64 DPS], Low N
51             [Grain yield /SPAD 64 DPS], Low N
52             [Grain yield /SPAD 64 DPS], Normal
53             [Plant biomass (FW)/SPAD 64 DPS], Drought
54             [Plant biomass (FW)/SPAD 64 DPS], Low N
55             [Plant biomass (FW)/SPAD 64 DPS], Normal
Table 29. Provided are the Sorghum correlated parameters (vectors). “gr.” = grams; “SPAD” = chlorophyll levels; “FW” = Plant Fresh weight; “DW”= Plant Dry weight; “normal” = standard growth conditions; “DPS” = days post-sowing; “Low N” = Low Nitrogen. FW - Head/Plant gr. (based on 5 plants), fresh weigh of the harvested heads was divided by the number of heads that were phenotyped, Low N-low nitrogen conditions: Lower Ratio Average Grain Area grain area of the lower fraction of grains.

Measured parameters in Sorghum accessions under normal conditions
Seed ID/ Cor. ID	3	6	8	11	14	17	20	23	26	29
Line-1	0.11	175.1 5	406.5 0	0.51	162.5 6	95.25	120.1 4	25.58	61.22	5.97
Line-2	0.11	223.4 9	518.0 0	0.51	212.5 9	79.20	167.6 0	26.84	67.90	7.92
Line-3	0.13	56.40	148.0 0	0.12	334.8 3	197.8 5	85.14	21.02	56.26	4.87
Line-4	0.13	111.6 2	423.0 0	0.26	313.4 6	234.2 0	157.2 6	26.84	65.38	7.43
Line-5	0.14	67.34	92.00	0.12	462.2 8	189.4 0	104.0 0	23.14	67.46	5.59
Line-6	0.14	66.90	101.3 3	0.18	318.2 6	194.6 7	102.4 8	21.82	67.46	5.88
Line-7	0.11	126.1 8	423.5 0	0.46	151.1 4	117.2 5	168.5 4	31.33	74.35	6.78
Line-8	0.11	107.7 4	386.5 0	0.43	137.6 0	92.80	109.3 2	23.18	56.16	5.99
Line-9	0.10	123.8 6	409.5 0	0.43	167.9 8	112.6 5	135.1 3	25.70	61.64	6.62
Line-10	0.12	102.7 5	328.9 5	0.44	128.9 7	97.50	169.0 3	28.82	71.41	7.42
Line-11	0.12	82.33	391.0 0	0.46	97.62	98.00	156.1 0	28.13	68.57	6.99
Line-12	0.11	77.59	435.7 5	0.45	99.32	100.0 0	112.1 4	22.97	56.44	6.19
Line-13	0.12	91.17	429.5 0	0.45	112.2 4	105.6 0	154.7 4	28.09	67.79	7.02
Line-14	0.11	150.4 5	441.0 0	0.51	157.4 2	151.1 5	171.7 0	30.00	71.55	7.18
Line-15	0.11	109.1 0	415.7 5	0.46	130.5 5	117.1 0	168.5 1	30.54	78.94	7.00
Line-16	0.11	107.5 8	429.5 0	0.44	135.6 6	124.4 5	162.5 1	27.17	67.03	7.39
Table 30: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (line ID) under normal conditions. Growth conditions are specified in the experimental procedure section.

Additional measured parameters in Sorghum accessions under normal conditions
Seed ID/Cor. ID	32	34	36	38	40	43	44	48	49	52	55
Line-1	43.01	0.83	0.91	0.91	0.91	47.40	31.12	1.22	4.50	3.78	0.72
Line-2		0.74	0.88	0.87	0.83	46.30	26.35	1.30	8.17	7.74	0.43
Line-3	43.26	0.78	0.92	0.91	0.85	28.37	18.72	1.13	7.87	7.01	0.86
Line-4	44.74	0.80	0.91	0.95	0.87	70.40	38.38	1.14	10.68	10.10	0.58
Line-5	45.76	0.70	0.89	0.90	0.79	32.15	26.67	1.16	8.34	7.65	0.69
Line-6	41.61	0.70	0.88	0.92	0.80	49.23	28.85	1.15	4.40	3.34	1.05
Line-7	45.21	0.83	0.91	0.91	0.90	63.45	47.67	1.19	3.74	3.05	0.69
Line-8	45.14	0.81	0.90	0.91	0.89	44.45	31.00	1.24	4.83	3.90	0.93
Line-9	43.03	0.84	0.92	0.92	0.92	56.65	39.99	1.25	3.67	2.83	0.84
Line-10	45.59	0.79	0.92	0.93	0.85	60.00	38.36	1.24	2.89	2.18	0.72
Line-11	44.83	0.77	0.89	0.91	0.86	45.45	32.10	1.32	2.91	2.19	0.72
Line-12	45.33	0.80	0.91	0.92	0.89	58.19	32.69	1.22	3.12	2.41	0.71
Line-13	46.54	0.81	0.91	0.90	0.90	70.60	32.79	1.18	4.75	3.58	1.17
Line-14	43.99	0.82	0.91	0.91	0.91	70.10	51.53	1.18	3.69	2.90	0.79
Line-15	45.09	0.81	0.90	0.91	0.91	53.95	35.71	1.22	3.85	3.01	0.85
Line-16	45.14	0.82	0.90	0.91	0.90	59.87	38.31	1.25	5.84	4.85	0.98
Table 31: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (line ID) under normal conditions. Growth conditions are specified in the experimental procedure section.

Measured parameters in Sorghum accessions under Low nitrogen conditions
Seed ID/Cor. ID	2	5	7	10	13	16	19	22	25	28	31
Line-1	0.11	214.78	388.00	0.51	204.78	104.00	96.24	23.22	56.32	5.26	38.33
Line-2	0.11	205.05	428.67	0.51	199.64	80.93	214.72	25.58	79.20	10.41	38.98
Line-3	0.14	73.49	297.67	0.17	340.51	204.73	98.59	20.93	53.25	5.93	42.33
Line-4	0.12	122.96	280.00	0.39	240.60	125.40	182.83	28.43	76.21	8.25	40.90
Line-5	0.14	153.07	208.33	0.21	537.78	225.40	119.64	24.32	67.27	6.19	43.15
Line-6	0.13	93.23	303.67	0.19	359.40	208.07	110.19	22.64	59.49	6.12	39.85
Line-7	0.12	134.11	436.00	0.48	149.20	121.40	172.36	32.11	79.28	6.81	42.68
Line-8	0.12	77.44	376.33	0.38	129.06	100.27	84.81	20.38	51.52	5.25	43.31
Line-9	0.12	129.63	474.67	0.42	178.71	121.13	156.25	26.69	69.89	7.52	39.01
Line-10	0.13	99.83	437.67	0.44	124.27	94.53	136.71	26.31	66.18	6.59	42.71
Line-11	0.13	76.95	383.00	0.43	101.33	110.00	137.70	25.43	67.37	6.85	40.08
Line-12	0.12	84.25	375.00	0.39	132.12	115.07	96.54	23.11	57.90	5.32	43.98
Line-13	0.12	92.24	425.00	0.44	117.90	104.73	158.19	27.87	70.61	7.25	45.44
Line-14	0.12	138.83	434.00	0.44	176.99	173.67	163.95	28.88	73.76	7.19	44.75
Line-15	0.11	113.32	408.67	0.44	143.67	115.60	138.39	27.64	66.87	6.28	42.58
Line-16	0.12	95.50	378.50	0.43	126.98	138.80	135.46	25.52	65.40	6.57	43.81
Table 32: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (line ID) under low nitrogen conditions. Growth conditions are specified in the experimental procedure section.

Additional measured parameters in Sorghum accessions under low nitrogen growth conditions
Seed ID/ Cor. ID	33	35	37	39	41	42	47	50	51	54
Line-1	0.82	0.91	0.90	0.90	25.95	50.27	1.19	6.02	0.68	5.34
Line-2	0.77	0.90	0.88	0.85	30.57	50.93	1.31	5.91	0.78	5.12
Line-3	0.81	0.92	0.92	0.89	19.37	36.13	1.11	8.50	0.46	8.05
Line-4	0.79	0.90	0.90	0.88	35.62	73.10	1.22	6.75	0.87	5.88
Line-5	0.78	0.91	0.92	0.86	25.18	37.87	1.19	13.05	0.58	12.46
Line-6	0.80	0.93	0.92	0.87	22.18	36.40	1.18	9.58	0.56	9.02
Line-7	0.83	0.92	0.92	0.91	49.96	71.67	1.16	4.67	1.17	3.50
Line-8	0.79	0.89	0.89	0.89	27.48	35.00	1.23	3.61	0.63	2.98
Line-9	0.81	0.90	0.90	0.90	51.12	76.73	1.17	5.89	1.31	4.58
Line-10	0.77	0.91	0.91	0.86	36.84	57.58	1.22	3.77	0.86	2.91
Line-11	0.74	0.89	0.90	0.84	29.45	42.93	1.24	3.26	0.74	2.53
Line-12	0.80	0.90	0.90	0.90	26.70	36.47	1.19	3.61	0.61	3.00
Line-13	0.79	0.89	0.90	0.89	29.43	68.60	1.23	3.24	0.65	2.60
Line-14	0.82	0.91	0.91	0.91	51.12	71.80	1.16	5.10	1.14	3.96
Line-15	0.80	0.89	0.89	0.90	37.04	49.27	1.34	4.25	0.87	3.38
Line-16	0.81	0.89	0.90	0.90	39.85	43.87	1.21	3.81	0.91	2.90
Line-17	0.81	0.90	0.90	0.90	41.78	52.07	1.21	4.76	0.89	3.86
Table 33: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (line ID) under low nitrogen conditions. Growth conditions are specified in the experimental procedure section.

Measured parameters in Sorghum accessions under drought conditions
Seed ID/ Cor. ID	1	4	9	12	15	18	21	24	27	30
Line-1	0.10	154.90	0.42	207.99	89.40	83.14	21.63	52.78	4.83	40.58
Line-2	0.12	122.02	0.47	138.02	75.73	107.79	21.94	64.49	6.31	40.88
Line-3	0.11	130.51	0.42	255.41	92.10	88.68	21.57	56.59	5.16	45.01
Line-4	0.09	241.11	0.37	402.22	94.30	135.91	22.01	64.37	7.78	42.30
Line-5	0.09	69.03	0.23	233.55	150.80	90.77	20.99	53.21	5.28	45.24
Line-6	0.11	186.41	0.31	391.75	110.73	123.95	28.60	71.66	5.49	40.56
Line-7		62.11	0.41	89.31	99.20	86.06	21.35	55.61	5.04	44.80
Line-8		39.02	0.44	50.61	84.00	85.20	20.81	52.96	5.07	45.07
Line-9		58.94	0.40	87.02	99.00	113.10	24.69	69.83	5.77	40.65
Line-10		76.37	0.44	120.43	92.20	100.79	24.28	65.15	5.37	45.43
Line-11		33.47	0.47	37.21	81.93	80.41	21.95	55.27	4.66	42.58
Line-12		42.20	0.47	48.18	98.80	126.89	24.98	69.06	6.35	44.18
Line-13		41.53	0.48	44.20	86.47	86.41	19.49	53.32	5.58	44.60
Line-14		131.67	0.35	231.60	99.60	92.29	20.42	56.29	5.76	42.41
Line-15		60.84	0.35	116.01	83.00	77.89	16.81	49.12	5.86	43.25
Line-16		44.33	0.23	123.09	83.53	76.93	18.88	51.88	5.10	40.30
Line-17		185.44	0.33	342.50	92.30					40.75
Table 34: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (line ID) under drought conditions. Growth conditions are specified in the experimental procedure section.

Additional Measured parameters in Sorghum accessions under drought conditions
Seed ID/ Correlation ID	45	46	53
Line-1	22.114	1.305	5.126
Line-2	16.770	1.190	3.376
Line-3	9.189	1.285	5.674
Line-4	104.444	1.459	9.509
Line-5	3.235	1.206	5.163
Line-6	21.997	1.214	9.658
Line-7	9.975		1.993
Line-8	18.579		1.123
Line-9	29.271		2.141
Line-10	10.453		2.651
Line-11	14.765		0.874
Line-12	12.861		1.091
Line-13	18.237		0.991
Line-14	11.602		5.461
Line-15	18.647		2.682
Line-16	16.356		3.054
Line-17			8.405
Table 35: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (line ID) under drought conditions. Growth conditions are specified in the experimental procedure section.

Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal or abiotic stress conditions across Sorghum accessions
Gene Name	R	P value	Exp. set	Cor. Set ID	Gene Name	R	P value	Exp. set	Cor. Set ID
LNU856	0.849	3.76E-03	1	18	LNU856	0.827	5.96E-03	1	27
LNU856	0.830	5.57E-03	1	24	LNU857	0.748	2.04E-02	9	55
LNU858	0.841	2.31E-03	6	36	LNU858	0.781	7.71E-03	6	34
LNU858	0.741	1.41E-02	2	41	LNU858	0.721	1.85E-02	2	51
LNU858	0.788	6.74E-03	2	16	LNU858	0.736	1.53E-02	3	11
LNU858	0.826	3.23E-03	3	6	LNU858	0.711	2.10E-02	3	8
LNU859	0.717	1.97E-02	6	55	LNU859	0.829	3.04E-03	9	17
LNU859	0.713	2.07E-02	9	40	LNU859	0.736	1.52E-02	9	23
LNU859	0.819	3.78E-03	9	44	LNU859	0.785	7.10E-03	9	43
LNU859	0.706	2.26E-02	9	34	LNU859	0.764	1.00E-02	2	41
LNU859	0.782	7.47E-03	2	16	LNU859	0.717	1.97E-02	8	42
LNU860	0.789	6.70E-03	6	17	LNU860	0.706	2.24E-02	6	44
LNU860	0.773	8.80E-03	2	41	LNU860	0.711	2.11E-02	2	22
LNU860	0.891	5.43E-04	2	42	LNU860	0.757	1.13E-02	2	51
LNU860	0.760	1.07E-02	2	37	LNU860	0.877	8.51E-04	4	53
LNU860	0.854	1.65E-03	4	4	LNU860	0.878	8.41E-04	4	12
LNU860	0.728	1.69E-02	5	41	LNU860	0.845	2.10E-03	5	16
LNU860	0.713	3.09E-02	7	18	LNU860	0.723	1.81E-02	1	53
LNU860	0.726	1.74E-02	1	12	LNU861	0.835	2.63E-03	6	17
LNU861	0.707	2.22E-02	6	44	LNU861	0.794	6.15E-03	2	16
LNU861	0.792	6.35E-03	4	53	LNU861	0.802	5.22E-03	4	4
LNU861	0.790	6.53E-03	4	12	LNU861	0.871	2.26E-03	3	52
LNU861	0.874	2.05E-03	3	49	LNU861	0.892	5.26E-04	1	53
LNU861	0.890	5.56E-04	1	4	LNU861	0.879	8.08E-04	1	12
LNU862	0.716	1.98E-02	6	40	LNU862	0.767	9.63E-03	4	53
LNU862	0.767	9.58E-03	4	12	LNU862	0.726	2.69E-02	3	55
LNU862	0.797	5.81E-03	3	43	LNU862	0.753	1.20E-02	1	15
LNU863	0.857	3.15E-03	9	55	LNU863	0.758	1.11E-02	2	16
LNU863	0.878	8.46E-04	5	31	LNU863	0.776	8.30E-03	7	53
LNU863	0.751	1.22E-02	7	4	LNU863	0.770	9.20E-03	7	12
LNU864	0.816	3.97E-03	2	16	LNU864	0.700	2.42E-02	3	29
LNU864	0.729	1.67E-02	3	14	LNU864	0.736	1.53E-02	7	4
LNU864	0.708	2.20E-02	7	12	LNU865	0.719	1.90E-02	6	44
LNU865	0.740	1.43E-02	9	11	LNU865	0.754	1.17E-02	2	10
LNU865	0.742	1.40E-02	5	13	LNU865	0.774	8.53E-03	3	8
LNU866	0.752	1.22E-02	2	41	LNU866	0.844	2.13E-03	2	16
LNU866	0.848	3.91E-03	3	52	LNU866	0.746	1.32E-02	3	11
LNU866	0.868	1.13E-03	3	6	LNU866	0.805	8.85E-03	3	49
LNU866	0.734	1.56E-02	1	4	LNU867	0.719	1.92E-02	6	3
LNU867	0.704	2.31E-02	3	6	LNU868	0.916	2.00E-04	6	48
LNU868	0.804	5.04E-03	2	16	LNU868	0.821	3.59E-03	3	17
LNU868	0.819	3.75E-03	3	44	LNU869	0.719	1.90E-02	2	2
LNU869	0.790	6.49E-03	5	2	LNU870	0.906	3.04E-04	4	53
LNU870	0.829	3.00E-03	4	4	LNU870	0.912	2.33E-04	4	12
LNU870	0.723	1.82E-02	1	53	LNU870	0.733	1.58E-02	1	12
LNU871	0.752	1.22E-02	6	17	LNU871	0.720	1.89E-02	4	53
LNU871	0.709	2.16E-02	4	4	LNU871	0.735	1.53E-02	4	12
LNU871	0.747	1.30E-02	7	9	LNU871	0.717	2.98E-02	1	21
LNU872	0.714	2.05E-02	4	53	LNU872	0.710	2.13E-02	4	12
LNU872	0.735	1.55E-02	5	41	LNU872	0.743	2.19E-02	7	18
LNU873	0.732	1.61E-02	9	44	LNU873	0.848	1.95E-03	8	35
LNU873	0.768	1.56E-02	3	55	LNU874	0.715	2.02E-02	2	22
LNU874	0.855	1.60E-03	2	42	LNU874	0.727	1.72E-02	4	53
LNU874	0.710	2.15E-02	4	4	LNU874	0.736	1.53E-02	4	12
LNU874	0.724	1.79E-02	5	54	LNU874	0.777	8.13E-03	5	13
LNU875	0.839	2.41E-03	6	3	LNU876	0.793	6.15E-03	6	17
LNU876	0.705	3.38E-02	4	27	LNU876	0.867	1.17E-03	4	53
LNU876	0.809	4.56E-03	4	4	LNU876	0.866	1.21E-03	4	12
LNU876	0.780	7.72E-03	5	5	LNU876	0.731	1.62E-02	5	7
LNU876	0.830	2.95E-03	5	50	LNU876	0.776	8.26E-03	5	54
LNU876	0.842	2.24E-03	5	13	LNU876	0.793	1.07E-02	3	52
LNU876	0.784	1.24E-02	3	49	LNU876	0.894	4.83E-04	3	8
LNU878	0.718	1.94E-02	6	11	LNU878	0.725	1.76E-02	6	49
LNU878	0.778	8.03E-03	2	16	LNU879	0.756	1.15E-02	6	11
LNU879	0.707	2.21E-02	6	6	LNU879	0.704	2.32E-02	6	14
LNU879	0.771	9.10E-03	2	28	LNU879	0.913	2.22E-04	4	53
LNU879	0.820	3.70E-03	4	4	LNU879	0.916	1.99E-04	4	12
LNU879	0.717	1.97E-02	5	5	LNU879	0.773	8.76E-03	5	50
LNU879	0.734	1.56E-02	5	54	LNU879	0.849	1.89E-03	5	13
LNU880	0.718	1.93E-02	2	47	LNU881	0.789	6.64E-03	2	41
LNU881	0.730	1.66E-02	2	51	LNU881	0.755	1.17E-02	2	37
LNU881	0.931	8.91E-05	2	16	LNU882	0.785	1.22E-02	3	52
LNU882	0.794	1.07E-02	3	49	LNU882	0.724	2.75E-02	1	45
LNU883	0.799	5.57E-03	2	47	LNU883	0.743	2.19E-02	3	52
LNU883	0.887	6.25E-04	3	6	LNU883	0.786	7.03E-03	3	14
LNU883	0.742	2.22E-02	3	49	LNU883	0.720	1.89E-02	3	8
LNU883	0.719	1.91E-02	1	9	LNU883	0.747	2.07E-02	1	18
LNU883	0.784	1.23E-02	1	24	LNU883	0.744	2.17E-02	1	21
LNU884	0.874	9.44E-04	2	41	LNU884	0.745	1.35E-02	2	22
LNU884	0.767	9.63E-03	2	35	LNU884	0.872	1.02E-03	2	51
LNU884	0.743	1.38E-02	2	37	LNU884	0.779	1.33E-02	4	45
LNU884	0.809	4.58E-03	3	6	LNU885	0.845	2.08E-03	6	17
LNU885	0.879	8.12E-04	6	44	LNU885	0.712	2.10E-02	2	47
LNU885	0.891	5.48E-04	4	53	LNU885	0.788	6.83E-03	4	4
LNU885	0.897	4.40E-04	4	12	LNU885	0.721	1.87E-02	5	41
LNU885	0.711	2.13E-02	5	13	LNU885	0.724	1.78E-02	5	51
LNU885	0.843	2.18E-03	7	30	LNU885	0.705	2.28E-02	1	53
LNU885	0.716	1.99E-02	1	12	LNU886	0.862	1.35E-03	6	3
LNU887	0.710	3.23E-02	9	52	LNU887	0.714	3.07E-02	9	49
LNU887	0.725	1.76E-02	2	47	LNU888	0.858	1.50E-03	6	48
LNU888	0.742	1.41E-02	2	41	LNU888	0.732	1.62E-02	2	35
LNU888	0.811	4.39E-03	2	51	LNU888	0.716	1.99E-02	2	37
LNU888	0.706	2.26E-02	8	41	LNU888	0.741	1.42E-02	8	51
LNU888	0.787	6.95E-03	8	37	LNU888	0.855	1.64E-03	7	30
LNU889	0.971	3.19E-06	6	52	LNU889	0.851	1.80E-03	6	6
LNU889	0.884	6.87E-04	6	14	LNU889	0.948	3.02E-05	6	49
LNU889	0.763	1.02E-02	6	8	LNU890	0.796	5.88E-03	8	2
LNU890	0.779	7.92E-03	5	2	LNU892	0.717	1.96E-02	9	8
LNU892	0.915	5.43E-04	4	18	LNU892	0.892	1.23E-03	4	27
LNU892	0.864	2.70E-03	4	24	LNU892	0.733	1.59E-02	8	28
LNU892	0.734	2.43E-02	7	27	LNU893	0.818	3.85E-03	3	43
LNU894	0.850	1.84E-03	6	52	LNU894	0.815	4.08E-03	6	49
LNU894	0.802	5.22E-03	6	8	LNU894	0.840	4.64E-03	9	52
LNU894	0.855	1.61E-03	9	14	LNU894	0.808	8.35E-03	9	49
LNU894	0.871	1.04E-03	2	16	LNU894	0.711	3.16E-02	3	52
LNU894	0.862	1.33E-03	3	6	LNU894	0.829	3.05E-03	3	14
LNU894	0.733	1.59E-02	3	8	LNU894	0.718	2.93E-02	1	21
LNU895	0.716	1.97E-02	6	20	LNU895	0.720	1.88E-02	5	7
LNU895	0.716	1.97E-02	5	19	LNU895	0.868	1.13E-03	5	41
LNU895	0.792	6.32E-03	5	22	LNU895	0.797	5.75E-03	5	25
LNU895	0.817	3.91E-03	5	51	LNU895	0.748	1.28E-02	3	29
LNU895	0.727	1.72E-02	3	14	LNU897	0.746	1.32E-02	3	17
LNU897	0.790	6.56E-03	3	44	LNU899	0.701	2.39E-02	6	3
LNU899	0.717	1.96E-02	2	16	LNU900	0.894	4.83E-04	6	17
LNU900	0.713	2.05E-02	6	44	LNU900	0.710	2.14E-02	6	43
LNU900	0.765	9.88E-03	4	53	LNU900	0.772	8.88E-03	4	12
LNU900	0.883	7.13E-04	5	16	LNU901	0.920	1.62E-04	4	53
LNU901	0.869	1.10E-03	4	4	LNU901	0.916	1.93E-04	4	12
LNU901	0.770	9.12E-03	5	5	LNU901	0.767	9.70E-03	5	50
LNU901	0.768	9.54E-03	5	54	LNU901	0.807	4.75E-03	5	13
LNU902	0.886	6.47E-04	6	17	LNU902	0.856	1.59E-03	6	44
LNU903	0.714	2.04E-02	6	3	LNU903	0.785	7.13E-03	2	7
LNU903	0.738	1.48E-02	2	19	LNU903	0.829	3.05E-03	2	22
LNU903	0.786	7.04E-03	2	42	LNU903	0.840	2.36E-03	2	25
LNU904	0.738	1.48E-02	6	52	LNU904	0.731	1.64E-02	6	14
LNU904	0.751	1.24E-02	6	49	LNU904	0.765	9.94E-03	4	53
LNU904	0.718	1.94E-02	4	4	LNU904	0.767	9.63E-03	4	12
LNU904	0.732	1.61E-02	5	10	LNU905	0.710	2.14E-02	2	47
LNU905	0.872	2.17E-03	4	45	LNU905	0.800	5.42E-03	4	53
LNU905	0.854	1.65E-03	4	4	LNU905	0.785	7.10E-03	4	12
LNU905	0.714	2.04E-02	8	5	LNU905	0.725	1.76E-02	5	54
LNU905	0.761	1.06E-02	5	13	LNU905	0.822	6.54E-03	7	45
LNU905	0.720	2.86E-02	1	45	LNU906	0.749	1.26E-02	6	17
LNU906	0.778	8.04E-03	6	40	LNU906	0.832	2.85E-03	6	44
LNU906	0.805	4.95E-03	6	34	LNU906	0.745	1.35E-02	2	41
LNU906	0.855	1.63E-03	2	16	LNU906	0.939	5.71E-05	4	53
LNU906	0.868	1.12E-03	4	4	LNU906	0.943	4.37E-05	4	12
LNU907	0.700	2.42E-02	6	29	LNU907	0.829	3.00E-03	6	52
LNU907	0.825	3.28E-03	6	49	LNU907	0.790	6.50E-03	6	8
LNU907	0.791	6.44E-03	8	33	LNU907	0.706	2.26E-02	8	39
LNU907	0.836	2.59E-03	8	35	LNU907	0.746	1.32E-02	8	37
LNU908	0.701	2.41E-02	2	5	LNU908	0.725	1.77E-02	1	4
LNU909	0.805	4.99E-03	2	41	LNU909	0.745	1.34E-02	2	51
LNU909	0.920	1.66E-04	2	16	LNU909	0.789	1.14E-02	4	45
LNU909	0.822	3.51E-03	3	11	LNU909	0.771	9.03E-03	3	6
LNU910	0.761	1.05E-02	6	17	LNU910	0.743	1.37E-02	6	44
LNU910	0.743	1.38E-02	5	41	LNU910	0.732	1.62E-02	5	51
LNU910	0.767	9.66E-03	5	16	LNU910	0.761	1.71E-02	3	52
LNU910	0.781	1.30E-02	3	49	LNU910	0.763	1.02E-02	1	53
LNU910	0.761	1.05E-02	1	4	LNU910	0.768	9.45E-03	1	12
LNU911	0.716	1.99E-02	6	11	LNU911	0.774	8.56E-03	8	10
LNU911	0.708	2.18E-02	5	41	LNU911	0.712	2.09E-02	5	51
LNU911	0.733	1.59E-02	3	6	LNU911	0.760	1.08E-02	7	30
LNU912	0.773	8.74E-03	9	17	LNU912	0.706	2.25E-02	9	44
LNU912	0.710	2.15E-02	9	43	LNU912	0.712	2.08E-02	2	47
LNU912	0.702	3.48E-02	4	18	LNU912	0.717	1.96E-02	7	15
LNU912	0.902	3.58E-04	1	30	LNU913	0.713	2.06E-02	2	31
LNU913	0.705	2.29E-02	2	22	LNU913	0.726	1.75E-02	2	37
LNU913	0.760	1.08E-02	3	17	LNU913	0.746	1.33E-02	3	40
LNU913	0.821	3.63E-03	3	44	LNU913	0.803	5.19E-03	3	36
LNU913	0.777	8.20E-03	3	34	LNU914	0.713	2.07E-02	6	40
LNU914	0.759	1.09E-02	6	34	LNU914	0.716	1.98E-02	9	8
LNU914	0.707	2.22E-02	5	51	LNU916	0.753	1.92E-02	1	21
LNU917	0.750	1.25E-02	6	17	LNU917	0.728	1.70E-02	6	44
LNU917	0.900	3.94E-04	4	53	LNU917	0.794	6.13E-03	4	4
LNU917	0.904	3.29E-04	4	12	LNU917	0.959	4.46E-05	3	52
LNU917	0.830	2.97E-03	3	6	LNU917	0.925	3.50E-04	3	49
LNU917	0.804	5.09E-03	3	8	LNU917	0.728	2.62E-02	1	18
LNU918	0.837	2.54E-03	9	17	LNU918	0.757	1.13E-02	8	16
LNU918	0.748	1.29E-02	3	44	LNU919	0.791	6.48E-03	9	17
LNU919	0.756	1.14E-02	9	40	LNU919	0.758	1.11E-02	9	44
LNU919	0.758	1.10E-02	9	43	LNU919	0.709	2.16E-02	9	34
LNU919	0.896	4.55E-04	2	41	LNU919	0.733	1.59E-02	2	22
LNU919	0.736	1.52E-02	2	42	LNU919	0.836	2.56E-03	2	51
LNU919	0.780	7.74E-03	2	37	LNU919	0.769	9.37E-03	2	16
LNU919	0.870	1.05E-03	8	35	LNU919	0.708	2.19E-02	3	17
LNU920	0.728	1.71E-02	6	14	LNU920	0.727	1.72E-02	6	49
LNU920	0.790	1.12E-02	4	45	LNU921	0.701	2.40E-02	6	17
LNU921	0.876	8.95E-04	4	53	LNU921	0.804	5.05E-03	4	4
LNU921	0.867	1.16E-03	4	12	LNU922	0.819	3.73E-03	6	3
LNU922	0.740	1.44E-02	2	37	LNU922	0.796	5.83E-03	2	16
LNU922	0.779	7.87E-03	5	2	LNU922	0.701	2.39E-02	3	20
LNU922	0.820	6.77E-03	1	18	LNU922	0.864	2.66E-03	1	24
LNU922	0.886	1.47E-03	1	21	LNU923	0.785	7.10E-03	6	48
LNU923	0.734	1.56E-02	5	2	LNU923	0.897	4.27E-04	3	17
LNU923	0.714	2.03E-02	3	44	LNU924	0.824	3.39E-03	9	17
LNU924	0.746	1.32E-02	9	23	LNU924	0.734	1.56E-02	9	44
LNU924	0.803	5.20E-03	4	53	LNU924	0.820	3.66E-03	4	4
LNU924	0.808	4.66E-03	4	12	LNU924	0.702	2.36E-02	8	33
LNU924	0.723	1.81E-02	8	35	LNU925	0.715	2.00E-02	6	11
LNU925	0.737	1.49E-02	6	6	LNU925	0.701	2.38E-02	6	14
LNU925	0.782	7.53E-03	2	5	LNU925	0.716	1.98E-02	2	50
LNU925	0.737	1.51E-02	2	54	LNU925	0.765	9.87E-03	2	41
LNU925	0.710	2.14E-02	2	10	LNU925	0.785	7.18E-03	2	28
LNU925	0.717	1.95E-02	2	13	LNU925	0.752	1.22E-02	2	51
LNU925	0.761	1.05E-02	2	37	LNU925	0.734	1.56E-02	4	53
LNU925	0.751	1.22E-02	4	12	LNU925	0.824	3.40E-03	8	41
LNU925	0.787	6.84E-03	8	51	LNU925	0.770	9.16E-03	8	37
LNU925	0.814	4.16E-03	8	16	LNU925	0.825	6.15E-03	3	52
LNU925	0.711	2.13E-02	3	6	LNU925	0.762	1.71E-02	3	49
LNU925	0.817	3.91E-03	3	8	LNU926	0.823	3.43E-03	6	17
LNU926	0.706	2.26E-02	6	43	LNU926	0.778	8.05E-03	8	2
LNU926	0.715	2.02E-02	7	30	LNU928	0.840	4.57E-03	4	45
LNU928	0.733	2.47E-02	3	52	LNU928	0.793	1.08E-02	3	49
LNU928	0.712	3.13E-02	7	45	LNU928	0.855	1.60E-03	1	15
LNU930	0.754	1.18E-02	9	11	LNU930	0.748	1.28E-02	2	41
LNU930	0.714	2.03E-02	2	35	LNU930	0.757	1.13E-02	2	42
LNU930	0.748	1.29E-02	2	51	LNU930	0.733	1.60E-02	2	37
LNU930	0.702	2.35E-02	2	16	LNU930	0.774	1.45E-02	3	52
LNU930	0.767	1.59E-02	3	49	LNU931	0.834	2.72E-03	6	3
LNU931	0.797	5.77E-03	8	41	LNU931	0.795	5.99E-03	8	35
LNU931	0.836	2.60E-03	8	42	LNU931	0.836	2.60E-03	8	51
LNU931	0.859	1.44E-03	8	37	LNU931	0.709	2.16E-02	5	2
LNU932	0.829	5.69E-03	3	55	LNU932	0.703	3.47E-02	7	18
LNU932	0.799	9.81E-03	7	27	LNU932	0.729	2.58E-02	7	24
LNU933	0.771	9.00E-03	5	2	LNU933	0.778	8.03E-03	1	30
LNU934	0.834	2.71E-03	6	48	LNU934	0.868	1.13E-03	9	43
LNU934	0.711	2.10E-02	2	41	LNU934	0.755	1.16E-02	2	51
LNU934	0.757	1.12E-02	2	37	LNU934	0.716	1.98E-02	3	17
LNU934	0.897	4.31E-04	3	44	LNU935	0.739	1.46E-02	6	17
LNU935	0.781	7.62E-03	9	17	LNU935	0.765	1.62E-02	3	55
LNU935	0.927	3.22E-04	1	18	LNU935	0.815	7.47E-03	1	27
LNU935	0.871	2.21E-03	1	24	LNU935	0.735	2.42E-02	1	21
LNU936	0.739	1.46E-02	6	36	LNU936	0.735	1.55E-02	6	34
LNU936	0.786	7.01E-03	2	42	LNU936	0.734	1.56E-02	8	16
LNU938	0.743	1.39E-02	9	17	LNU938	0.847	2.00E-03	9	44
LNU938	0.836	2.57E-03	4	30	LNU939	0.830	2.95E-03	4	53
LNU939	0.777	8.25E-03	4	4	LNU939	0.830	2.98E-03	4	12
LNU939	0.821	3.56E-03	5	5	LNU939	0.821	3.60E-03	5	50
LNU939	0.869	1.11E-03	5	54	LNU939	0.900	3.91E-04	5	13
LNU939	0.954	6.53E-05	7	18	LNU939	0.894	1.15E-03	7	27
LNU939	0.904	8.15E-04	7	24	LNU940	0.784	7.31E-03	6	6
LNU940	0.762	1.04E-02	6	40	LNU940	0.748	1.29E-02	6	14
LNU940	0.730	1.64E-02	6	34	LNU940	0.718	2.95E-02	9	52
LNU940	0.841	2.28E-03	9	6	LNU940	0.715	2.02E-02	9	14
LNU940	0.713	2.05E-02	5	5	LNU940	0.721	1.86E-02	5	54
LNU940	0.767	9.62E-03	5	13	LNU941	0.893	5.02E-04	2	41
LNU941	0.753	1.20E-02	2	22	LNU941	0.741	1.42E-02	2	35
LNU941	0.721	1.87E-02	2	42	LNU941	0.891	5.44E-04	2	51
LNU941	0.824	3.37E-03	2	37	LNU941	0.857	1.52E-03	3	6
LNU942	0.716	1.99E-02	9	17	LNU942	0.786	6.97E-03	2	41
LNU942	0.737	1.50E-02	2	22	LNU942	0.740	1.43E-02	2	51
LNU942	0.839	2.43E-03	4	53	LNU942	0.829	3.01E-03	4	4
LNU942	0.846	2.01E-03	4	12	LNU942	0.895	4.67E-04	8	31
LNU942	0.885	1.52E-03	3	52	LNU942	0.884	1.56E-03	3	49
LNU942	0.771	9.09E-03	1	53	LNU942	0.792	6.32E-03	1	4
LNU942	0.761	1.06E-02	1	12	LNU943	0.720	1.88E-02	6	17
LNU943	0.766	9.80E-03	5	19	LNU943	0.773	8.75E-03	5	28
LNU943	0.701	2.38E-02	5	13	LNU944	0.803	5.12E-03	6	26
LNU944	0.861	1.38E-03	6	20	LNU944	0.805	4.92E-03	6	23
LNU944	0.718	1.95E-02	6	44	LNU944	0.804	5.03E-03	2	28
LNU944	0.750	1.25E-02	8	47	LNU944	0.795	1.05E-02	3	52
LNU944	0.747	2.08E-02	3	49	LNU944	0.752	1.22E-02	3	8
LNU945	0.703	2.34E-02	6	14	LNU945	0.813	4.27E-03	2	47
LNU945	0.805	4.92E-03	8	35	LNU946	0.791	6.43E-03	6	17
LNU946	0.795	5.99E-03	6	44	LNU946	0.898	4.26E-04	5	16
LNU946	0.745	1.34E-02	3	23	LNU946	0.867	2.49E-03	7	18
LNU946	0.899	9.92E-04	7	27	LNU946	0.796	1.02E-02	7	24
LNU947	0.736	1.52E-02	9	40	LNU947	0.741	1.41E-02	9	34
LNU947	0.717	1.96E-02	1	53	LNU947	0.847	1.98E-03	1	4
LNU947	0.705	2.29E-02	1	12	LNU948	0.780	7.76E-03	6	48
LNU948	0.710	2.15E-02	6	3	LNU948	0.705	2.27E-02	1	30
LNU949	0.751	1.23E-02	6	52	LNU949	0.800	5.48E-03	6	11
LNU949	0.834	2.72E-03	6	6	LNU949	0.736	1.52E-02	6	14
LNU949	0.758	1.11E-02	6	49	LNU949	0.730	1.66E-02	2	47
LNU949	0.764	1.01E-02	4	53	LNU949	0.843	2.17E-03	4	4
LNU949	0.756	1.14E-02	4	12	LNU949	0.795	6.00E-03	5	5
LNU949	0.805	4.96E-03	5	50	LNU949	0.780	7.77E-03	5	54
LNU949	0.799	5.56E-03	5	13	LNU949	0.758	1.11E-02	3	8
LNU950	0.739	1.47E-02	6	3	LNU951	0.744	1.37E-02	2	13
LNU952	0.838	4.78E-03	3	52	LNU952	0.870	1.07E-03	3	6
LNU952	0.776	1.39E-02	3	49	LNU952	0.796	5.90E-03	3	8
LNU952	0.785	1.21E-02	1	45	LNU952	0.786	7.02E-03	1	53
LNU952	0.728	1.70E-02	1	4	LNU952	0.774	8.66E-03	1	12
LNU953	0.774	1.44E-02	3	52	LNU953	0.771	1.51E-02	3	49
LNU953	0.726	1.74E-02	3	8	LNU954	0.814	4.13E-03	6	52
LNU954	0.715	2.02E-02	6	14	LNU954	0.793	6.19E-03	6	49
LNU954	0.726	2.69E-02	4	45	LNU954	0.860	1.42E-03	8	5
LNU954	0.861	1.36E-03	8	50	LNU954	0.851	1.79E-03	8	54
LNU954	0.739	1.46E-02	8	10	LNU954	0.871	1.04E-03	8	35
LNU954	0.782	7.52E-03	8	13	LNU954	0.802	5.29E-03	5	5
LNU954	0.774	8.55E-03	5	54	LNU954	0.762	1.04E-02	5	10
LNU954	0.750	2.00E-02	7	18	LNU954	0.730	2.57E-02	7	24
LNU955	0.732	1.61E-02	9	17	LNU955	0.805	8.86E-03	4	18
LNU955	0.812	7.90E-03	4	27	LNU955	0.728	2.63E-02	4	24
LNU955	0.824	3.40E-03	8	33	LNU955	0.851	1.80E-03	8	39
LNU955	0.705	2.27E-02	5	2	LNU955	0.710	2.15E-02	1	30
LNU956	0.786	1.21E-02	4	45	LNU956	0.787	1.19E-02	1	45
LNU957	0.749	1.27E-02	6	29	LNU957	0.743	1.37E-02	6	20
LNU957	0.782	1.27E-02	3	55	LNU958	0.801	5.37E-03	9	17
LNU958	0.773	8.77E-03	4	30	LNU958	0.800	5.47E-03	8	33
LNU958	0.799	5.53E-03	8	39	LNU958	0.759	1.09E-02	8	16
LNU958	0.720	1.88E-02	5	41	LNU958	0.886	6.41E-04	5	16
LNU959	0.827	3.13E-03	2	41	LNU959	0.747	1.29E-02	2	22
LNU959	0.757	1.13E-02	2	51	LNU959	0.778	8.02E-03	2	16
LNU959	0.727	1.72E-02	4	9	LNU959	0.928	3.02E-04	3	52
LNU959	0.871	1.03E-03	3	6	LNU959	0.701	2.39E-02	3	14
LNU959	0.893	1.17E-03	3	49	LNU959	0.771	8.97E-03	3	8
LNU960	0.865	1.23E-03	6	17	LNU960	0.886	6.43E-04	6	44
LNU960	0.771	9.08E-03	9	26	LNU960	0.807	4.82E-03	9	23
LNU960	0.722	1.83E-02	9	44	LNU960	0.754	1.17E-02	2	42
LNU960	0.759	1.10E-02	2	37	LNU960	0.932	8.55E-05	4	53
LNU960	0.870	1.05E-03	4	4	LNU960	0.932	8.83E-05	4	12
LNU960	0.738	1.49E-02	5	13	LNU960	0.703	2.34E-02	5	51
LNU961	0.738	1.47E-02	6	20	LNU961	0.803	5.15E-03	9	17
LNU961	0.836	2.56E-03	9	44	LNU961	0.735	1.54E-02	9	43
LNU961	0.745	1.35E-02	8	33	LNU961	0.824	3.40E-03	8	35
LNU961	0.781	7.62E-03	3	8	LNU961	0.874	2.06E-03	7	18
LNU961	0.954	6.50E-05	7	27	LNU961	0.789	1.14E-02	7	24
LNU962	0.808	4.66E-03	2	16	LNU962	0.725	1.76E-02	5	28
LNU962	0.897	1.06E-03	3	52	LNU962	0.848	1.93E-03	3	6
LNU962	0.892	1.22E-03	3	49	LNU962	0.706	3.36E-02	1	45
LNU964	0.706	2.24E-02	2	33	LNU964	0.778	8.03E-03	2	41
LNU964	0.756	1.14E-02	2	35	LNU964	0.820	3.71E-03	2	51
LNU964	0.820	3.71E-03	2	37	LNU964	0.778	8.06E-03	3	44
LNU964	0.713	2.06E-02	1	53	LNU964	0.712	2.08E-02	1	12
LNU965	0.828	3.08E-03	6	48	LNU965	0.745	1.35E-02	6	3
LNU965	0.779	7.92E-03	2	33	LNU965	0.885	6.71E-04	2	41
LNU965	0.767	9.59E-03	2	39	LNU965	0.829	3.04E-03	2	51
LNU965	0.861	1.39E-03	2	37	LNU965	0.875	9.24E-04	2	16
LNU966	0.709	2.17E-02	6	52	LNU966	0.708	2.20E-02	6	3
LNU966	0.748	1.29E-02	3	6	LNU966	0.716	3.00E-02	7	45
LNU967	0.800	5.48E-03	6	17	LNU967	0.766	9.82E-03	4	53
LNU967	0.707	2.22E-02	4	4	LNU967	0.768	9.41E-03	4	12
LNU968	0.771	9.02E-03	6	48	LNU968	0.719	1.90E-02	2	33
LNU968	0.919	1.71E-04	2	41	LNU968	0.904	3.35E-04	2	51
LNU968	0.781	7.72E-03	2	37	LNU968	0.734	1.56E-02	2	16
LNU968	0.788	6.83E-03	3	17	LNU968	0.826	3.22E-03	3	43
LNU969	0.805	4.95E-03	2	42
Table 36: Provided are the correlations (R) between the expression levels of yield improving genes and their homologues in tissues [Flag leaf, Flower meristem, stem and Flower; Expression sets (Exp)] and the phenotypic performance in various yield, biomass, growth rate and/or vigor components [Correlation vector (cor.)] under stress conditions or normal conditions across Sorghum accessions. P = p value.

Example 6

Production of Sorghum Transcriptom and High Throughput Correlation Analysis With Biomass, Nue, and Abst Related Parameters Measured in Semi-Hydroponics Conditions Using 44K Sorguhm Oligonucleotide Micro-Arrays

Sorghum vigor related parameters under low nitrogen, 100 mM NaCl, low temperature (10 ± 2° C.) and normal growth conditions - Ten Sorghum hybrids were grown in 3 repetitive plots, each containing 17 plants, at a net house under semi-hydroponics conditions. Briefly, the growing protocol was as follows: Sorghum seeds were sown in trays filled with a mix of vermiculite and peat in a 1:1 ratio. Following germination, the trays were transferred to the high salinity solution (100 mM NaCl in addition to the Full Hoagland solution), low temperature (10 ± 2° C. in the presence of Full Hoagland solution), low nitrogen solution (the amount of total nitrogen was reduced in 90% from the full Hoagland solution (i.e., to a final concentration of 10% from full Hoagland solution, final amount of 1.2 mM N) or at Normal growth solution (Full Hoagland containing 16 mM N solution, at 28 ± 2° C.). Plants were grown at 28 ± 2° C.

Full Hoagland solution consists of: KNO₃ - 0.808 grams/liter, MgSO₄ - 0.12 grams/liter, KH₂PO₄ - 0.172 grams/liter and 0.01% (volume/volume) of ‘Super coratin’ micro elements (Iron-EDDHA [ethylenediamine-N,N′-bis(2-hydroxyphenylacetic acid)]- 40.5 grams/liter; Mn - 20.2 grams/liter; Zn 10.1 grams/liter; Co 1.5 grams/liter; and Mo 1.1 grams/liter), solution’s pH should be 6.5 - 6.8].

Analyzed Sorghum tissues - All 10 selected Sorghum hybrids were sampled per each treatment. Three tissues [leaves, meristems and roots] growing at 100 mM NaCl, low temperature (10 ± 2° C.), low Nitrogen (1.2 mM N) or under Normal conditions were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 37 below.

Sorghum transcriptom expression sets under semi hydroponics conditions
Set ID Expression Set
1      Sorghum root under cold
2      Sorghum root under normal conditions
3      Sorghum root under low N conditions
4      Sorghum root under 100 mM NaCl conditions
5      Sorghum meristem under cold
6      Sorghum meristem under normal conditions
7      Sorghum meristem under low N conditions
8      Sorghum meristem under 100 mM NaCl conditions
Table 37: Provided are the Sorghum transcriptom expression sets. Cold conditions = 10 ± 2° C.; NaCl = 100 mM NaCl; low nitrogen =1.2 mM Nitrogen; Normal conditions = 16 mM Nitrogen.

Experimental Results

10 different Sorghum hybrids were grown and characterized for the following parameters: “Leaf No” = leaf number per plant (average of five plants); “Plant Height” = plant height [cm] (average of five plants); “DW Root/Plant” - root dry weight per plant (average of five plants); DW Shoot/Plant - shoot dry weight per plant (average of five plants) (Table 38). The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 39-45 below. Subsequent correlation analysis was performed (Table 46). Results were then integrated to the database.

Sorghum correlated parameters (vectors)
Correlation ID Correlated parameter with
1              DW Root/Plant - 100 mM NaCl [gr.]
2              DW Root/Plant - Cold [gr.]
3              DW Root/Plant - Low Nitrogen [gr.]
4              DW Root/Plant -Normal [gr.]
5              DW Shoot/Plant - Low Nitrogen [gr.]
6              DW Shoot/Plant - 100 mM NaCl [gr.]
7              DW Shoot/Plant - Cold [gr.]
8              DW Shoot/Plant - Normal [gr.]
9              Leaf TP1 - 100 mM NaCl [number]
10             Leaf TP1 - Cold [number]
11             Leaf TP1 - Low Nitrogen [number]
12             Leaf TP1 - Normal [number]
13             Leaf TP2 - 100 mM NaCl [number]
14             Leaf TP2 - Cold [number]
15             Leaf TP2 - Low Nitrogen [number]
16             Leaf TP2 - Normal [number]
17             Leaf TP3 - 100 mM NaCl [number]
18             Leaf TP3 - Cold [number]
19             Leaf TP3 - Low Nitrogen [number]
20             Leaf TP3 - Normal [number]
21             Low N- NUE total biomass [gr.]
22             Low N- Shoot/Root
23             Low N-NUE roots
24             Low N-NUE shoots
25             Low N-percent-root biomass compared to normal
26             Low N-percent-shoot biomass compared to normal
27             Low N-percent-total biomass reduction compared to normal
28             N level/ Leaf [Low Nitrogen]
29             N level/ Leaf [100 mM NaCl]
30             N level/ Leaf [Cold]
31             N level/ Leaf [Normal]
32             Normal- Shoot/Root
33             Normal-NUE roots
34             Normal-NUE shoots
35             Normal-NUE total biomass
36             Plant Height TP1 - 100 mM NaCl [cm]
37             Plant Height TP1 - Cold [cm]
38             Plant Height TP1 - Low Nitrogen [cm]
39             Plant Height TP1 - Normal [cm]
40             Plant Height TP2 - Cold [cm]
41             Plant Height TP2 - Low Nitrogen [cm]
42             Plant Height TP2 - Normal [cm]
43             Plant Height TP2 -100 mM NaCl [cm]
44             Plant Height TP3 - 100 mM NaCl [cm]
45             Plant Height TP3 - Low Nitrogen [cm]
46             RGR Leaf Num Normal
47             Root Biomass [DW- gr.]/SPAD [100 mM NaCl]
48             Root Biomass [DW- gr.]/SPAD [Cold]
49             Root Biomass [DW- gr.]/SPAD [Low Nitrogen]
50             Root Biomass [DW- gr.]/SPAD [Normal]
51             SPAD - Cold
52             SPAD - Low Nitrogen
53             SPAD - Normal
54             SPAD 100 - mM NaCl
55             Shoot Biomass [DW- gr.]/SPAD [100 mM NaCl]
56             Shoot Biomass [DW- gr.]/SPAD [Cold]
57             Shoot Biomass [DW- gr.]/SPAD [Low Nitrogen]
58             Shoot Biomass [DW- gr.]/SPAD [Normal]
59             Total Biomass-Root+Shoot [DW- gr.]/SPAD [100 mM NaCl]
60             Total Biomass-Root+Shoot [DW- gr.]/SPAD [Cold]
61             Total Biomass-Root+Shoot [DW- gr.]/SPAD [Low Nitrogen]
62             Total Biomass-Root+Shoot[DW- gr.]/SPAD [Normal]
Table 38: Provided are the Sorghum correlated parameters. Cold conditions = 10 ± 2° C.; NaCl = 100 mM NaCl; low nitrogen = 1.2 mM Nitrogen; Normal conditions = 16 mM Nitrogen * TP-1-2-3 refers to time points 1, 2 and 3.

Sorghum accessions, measured parameters under low nitrogen growth conditions
Cor. ID/line ID	3	5	11	15	19	38	41	45	52	1
Line-1	0.04	0.08	3.00	4.00	3.90	6.73	13.30	22.23	26.88	0.05
Line-2	0.11	0.19	3.13	4.58	4.27	9.77	20.63	31.07	28.02	0.10
Line-3	0.20	0.33	3.87	4.97	4.70	12.70	23.70	34.67	29.64	0.12
Line-4	0.10	0.16	3.53	4.73	4.23	8.67	18.03	30.03	31.52	0.07
Line-5	0.08	0.16	3.20	4.60	4.30	9.77	19.33	30.83	29.61	0.08
Line-6	0.09	0.16	3.13	4.70	4.57	9.23	19.20	29.87	26.82	0.08
Line-7	0.13	0.26	3.13	4.97	4.63	10.27	21.87	30.87	28.48	0.14
Line-8	0.09	0.20	3.30	4.87	4.67	10.10	22.13	32.40	28.21	0.10
Line-9	0.09	0.13	3.07	4.67	3.97	7.93	18.20	29.37	30.48	0.17
Line-10	0.09	0.18	3.07	4.57	4.10	8.23	21.00	30.70	27.63	0.14
Table 39: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (line ID) under low nitrogen conditions. Growth conditions are specified in the experimental procedure section.

Additional sorghum accessions, measured parameters under low nitrogen growth conditions
Corr. ID/line ID	21	22	23	24	25	26	27	28	49	57	61
Line-1	27.528	1.875	9.647	17.881	84.528	81.573	82.585	6.892	0.002	0.003	0.005
Line-2	64.124	1.707	23.538	40.586	80.954	79.164	79.812	6.568	0.004	0.007	0.011
Line-3	115.231	1.731	43.877	71.354	117.004	104.754	109.104	6.307	0.007	0.011	0.018
Line-4	58.017	1.568	22.580	35.436	100.519	103.497	102.317	7.446	0.003	0.005	0.008
Line-5	52.219	2.096	16.886	35.333	72.538	83.707	79.737	6.886	0.003	0.005	0.008
Line-6	35.103	1.815	12.440	22.663	71.777	83.215	78.767	5.873	0.003	0.006	0.009
Line-7	84.575	2.062	28.194	56.381	93.472	107.689	102.492	6.146	0.005	0.009	0.014
Line-8	63.728	2.097	20.528	43.200	76.051	81.386	79.588	6.046	0.003	0.007	0.010
Line-9	47.029	1.504	18.756	28.273	86.820	70.300	76.073	7.683	0.003	0.004	0.007
Line-10	59.998	1.999	20.086	39.912	80.511	75.859	77.355	6.740	0.003	0.007	0.010
Table 40: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (line ID) under low nitrogen conditions. Growth conditions are specified in the experimental procedure section.

Sorghum accessions, measured parameters under salinity (100 mM NaCl) conditions
Corr. ID/line ID	1	6	9	13	17	36
Line-1	0.050	0.094	3.000	4.000	4.000	7.900
Line-2	0.104	0.186	3.133	4.367	4.133	9.500
Line-3	0.124	0.202	3.400	4.867	4.567	10.933
Line-4	0.069	0.137	3.067	4.600	4.433	7.933
Line-5	0.076	0.130	3.333	4.500	4.067	9.700
Line-6	0.075	0.133	3.067	4.533	4.333	8.533
Line-7	0.135	0.154	3.067	4.500	4.133	8.900
Line-8	0.095	0.189	3.267	4.767	4.500	10.367
Line-9	0.165	0.099	3.000	4.320	3.780	7.000
Line-10	0.139	0.124	3.067	4.200	4.200	7.833
Table 41: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (line ID) under 100 mM NaCl growth conditions. Growth conditions are specified in the experimental procedure section.

Additional Sorghum accessions, measured parameters under salinity (100 mM NaCl) conditions
Corr. ID/line ID	29	47	55	59	43	44	54
Line-1	8.183	0.002	0.003	0.004	14.200	21.800	32.733
Line-2	8.503	0.003	0.005	0.008	16.267	23.167	35.144
Line-3	6.124	0.004	0.007	0.012	20.367	30.367	27.967
Line-4	6.977	0.002	0.004	0.007	13.333	22.833	30.933
Line-5	8.492	0.002	0.004	0.006	15.900	23.700	34.533
Line-6	6.921	0.003	0.004	0.007	16.533	23.300	29.989
Line-7	7.763	0.004	0.005	0.009	15.467	22.467	32.089
Line-8	7.079	0.003	0.006	0.009	18.933	26.833	31.856
Line-9	8.601	0.005	0.003	0.008	13.680	20.280	32.513
Line-10	8.172	0.004	0.004	0.008	15.767	23.567	34.322
Table 42: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (line ID) under 100 mM NaCl growth conditions. Growth conditions are specified in the experimental procedure section.

Sorghum accessions, measured parameters under cold conditions
Corr. ID/line ID	2	7	10	14	18	37	40	51	30	48	56	60
Line-1	0.068	0.078	3.000	3.900	4.733	6.500	11.167	28.622	6.047	0.002	0.003	0.005
Line-2	0.108	0.154	3.000	4.133	5.333	8.767	15.867	30.311	5.683	0.004	0.005	0.009
Line-3	0.163	0.189	3.500	4.633	5.433	10.400	18.433	27.044	4.978	0.006	0.007	0.013
Line-4	0.093	0.112	3.167	4.167	5.500	6.800	12.200	32.278	5.869	0.003	0.003	0.006
Line-5	0.084	0.130	3.400	4.267	5.333	9.033	16.033	28.278	5.302	0.003	0.005	0.008
Line-6	0.114	0.165	3.200	4.233	5.067	9.000	14.633	29.889	5.899	0.004	0.006	0.009
Line-7	0.137	0.152	3.133	4.200	4.500	7.967	14.600	32.467	7.215	0.004	0.005	0.009
Line-8	0.127	0.150	3.067	4.300	5.400	9.167	17.267	28.633	5.302	0.004	0.005	0.010
Line-9	0.108	0.112	3.067	4.167	5.367	6.500	13.433	31.711	5.909	0.003	0.004	0.007
Line-10	0.139	0.141	3.000	4.000	5.182	7.227	13.909	29.557	5.704	0.005	0.005	0.009
Table 43: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (line ID) under cold growth conditions. Growth conditions are specified in the experimental procedure section.

Sorghum accessions, measured parameters under regular growth conditions
Corr. ID/line ID	4	8	12	16	20	39	42	46	53
Line-1	0.053	0.101	3.000	4.167	5.333	7.467	14.967	0.155	26.700
Line-2	0.134	0.236	3.067	4.500	5.867	9.300	18.233	0.186	29.333
Line-3	0.173	0.313	3.800	4.800	6.200	12.867	22.100	0.159	29.856
Line-4	0.103	0.158	3.200	4.600	5.800	8.567	17.600	0.173	29.089
Line-5	0.107	0.194	3.233	4.533	5.800	8.933	18.067	0.171	24.978
Line-6	0.120	0.188	3.233	4.967	5.733	8.533	18.533	0.168	24.622
Line-7	0.139	0.241	3.133	4.600	5.733	10.667	22.833	0.174	30.789
Line-8	0.124	0.244	3.433	4.933	6.000	10.267	22.033	0.171	25.500
Line-9	0.099	0.185	3.000	4.500	5.600	7.867	20.033	0.174	32.889
Line-10	0.115	0.242	3.000	4.567	6.067	8.767	21.800	0.204	33.544
Table 44: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (line ID) under cold growth conditions. Growth conditions are specified in the experimental procedure section.

Additional Sorghum accessions, measured parameters under regular growth conditions
Corr. ID/line ID	31	32	33	34	35	50	58	62
Line-1	5.006	1.984	0.861	1.653	2.514	0.002	0.004	0.006
Line-2	5.000	1.936	2.193	3.866	6.059	0.005	0.008	0.013
Line-3	4.815	1.897	2.828	5.137	7.964	0.006	0.010	0.016
Line-4	5.015	1.586	1.694	2.582	4.276	0.004	0.005	0.009
Line-5	4.307	1.813	1.755	3.183	4.939	0.004	0.008	0.012
Line-6	4.295	1.579	1.960	3.081	5.041	0.005	0.008	0.012
Line-7	5.370	1.759	2.275	3.948	6.223	0.005	0.008	0.012
Line-8	4.250	1.988	2.036	4.003	6.038	0.005	0.010	0.014
Line-9	5.873	1.895	1.086	2.022	3.108	0.003	0.006	0.009
Line-10	5.529	2.198	1.881	3.968	5.849	0.003	0.007	0.011
Table 45: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (line ID) under regular growth conditions. Growth conditions are specified in the experimental procedure section.

Correlation between the expression level of selected genes of some embodiments of the invention in roots and the phenotypic performance under normal or abiotic stress conditions across Sorghum accessions
Gene Name	R	P value	Exp . set	Corr . Set ID	Gene Name	R	P value	Exp . set	Corr . Set ID
LNU856	0.862	1.26E-02	3	49	LNU856	0.860	1.31E-02	3	3
LNU856	0.933	2.14E-03	3	5	LNU856	0.812	2.67E-02	3	45
LNU856	0.851	1.52E-02	3	23	LNU856	0.896	6.34E-03	3	61
LNU856	0.928	2.59E-03	3	24	LNU856	0.921	3.24E-03	3	21
LNU856	0.877	9.56E-03	3	57	LNU856	0.855	1.42E-02	3	41
LNU856	0.801	9.50E-03	2	20	LNU856	0.840	2.37E-03	1	18
LNU857	0.716	7.05E-02	3	22	LNU857	0.812	7.87E-03	6	49
LNU857	0.777	1.37E-02	6	3	LNU857	0.778	1.36E-02	6	5
LNU857	0.777	1.37E-02	6	23	LNU857	0.811	7.92E-03	6	61
LNU857	0.778	1.36E-02	6	24	LNU857	0.787	1.19E-02	6	21
LNU857	0.727	2.65E-02	6	38	LNU857	0.795	1.04E-02	6	57
LNU857	0.703	3.47E-02	2	34	LNU857	0.757	1.82E-02	5	7
LNU857	0.744	2.15E-02	5	48	LNU857	0.701	3.52E-02	5	10
LNU857	0.858	3.08E-03	5	56	LNU857	0.827	5.94E-03	5	60
LNU857	0.847	3.99E-03	5	37	LNU857	0.871	2.26E-03	5	40
LNU857	0.854	3.42E-03	5	14	LNU859	0.899	3.96E-04	1	48
LNU859	0.850	1.84E-03	1	2	LNU859	0.712	2.10E-02	1	56
LNU859	0.829	3.04E-03	1	60	LNU860	0.848	1.59E-02	3	28
LNU860	0.721	2.82E-02	6	45	LNU861	0.756	1.85E-02	6	45
LNU861	0.768	1.57E-02	6	41	LNU861	0.700	3.57E-02	8	4
LNU861	0.776	1.40E-02	8	42	LNU862	0.705	7.70E-02	3	26
LNU862	0.804	8.99E-03	5	30	LNU863	0.792	1.09E-02	6	49
LNU863	0.790	1.13E-02	6	3	LNU863	0.734	2.43E-02	6	5
LNU863	0.790	1.13E-02	6	23	LNU863	0.756	1.84E-02	6	61
LNU863	0.734	2.43E-02	6	24	LNU863	0.764	1.65E-02	6	21
LNU863	0.720	2.88E-02	6	57	LNU863	0.738	2.32E-02	7	1
LNU863	0.818	7.05E-03	7	59	LNU863	0.838	4.83E-03	7	47
LNU863	0.766	1.60E-02	2	8	LNU863	0.781	1.29E-02	2	42
LNU863	0.709	3.26E-02	8	20	LNU863	0.838	4.76E-03	8	42
LNU864	0.801	3.04E-02	3	28	LNU864	0.897	1.05E-03	5	30
LNU866	0.719	6.86E-02	3	5	LNU866	0.720	6.82E-02	3	45
LNU866	0.721	6.77E-02	3	24	LNU866	0.705	7.71E-02	3	57
LNU866	0.817	2.48E-02	3	41	LNU870	0.840	1.80E-02	3	5
LNU870	0.861	1.28E-02	3	45	LNU870	0.766	4.45E-02	3	61
LNU870	0.790	3.46E-02	3	38	LNU870	0.829	2.11E-02	3	57
LNU870	0.879	9.10E-03	3	41	LNU870	0.705	3.39E-02	6	52
LNU871	0.701	3.55E-02	5	10	LNU872	0.739	5.75E-02	3	52
LNU872	0.793	1.09E-02	6	49	LNU872	0.780	1.32E-02	6	3
LNU872	0.800	9.62E-03	6	5	LNU872	0.739	2.29E-02	6	11
LNU872	0.780	1.32E-02	6	23	LNU872	0.802	9.38E-03	6	61
LNU872	0.800	9.62E-03	6	24	LNU872	0.802	9.33E-03	6	21
LNU872	0.841	4.52E-03	6	38	LNU872	0.791	1.11E-02	6	57
LNU876	0.809	2.75E-02	3	5	LNU876	0.792	3.39E-02	3	45
LNU876	0.703	7.82E-02	3	61	LNU876	0.705	7.70E-02	3	22
LNU876	0.877	9.56E-03	3	38	LNU876	0.713	7.21E-02	3	19
LNU876	0.723	6.66E-02	3	57	LNU876	0.801	9.52E-03	6	49
LNU876	0.830	5.65E-03	6	3	LNU876	0.790	1.12E-02	6	5
LNU876	0.782	1.28E-02	6	45	LNU876	0.798	9.87E-03	6	11
LNU876	0.830	5.65E-03	6	23	LNU876	0.774	1.43E-02	6	61
LNU876	0.790	1.12E-02	6	24	LNU876	0.797	1.01E-02	6	21
LNU876	0.773	1.45E-02	6	38	LNU876	0.760	1.74E-02	6	57
LNU876	0.754	1.90E-02	6	41	LNU876	0.740	2.25E-02	2	46
LNU876	0.713	3.12E-02	2	12	LNU876	0.827	5.95E-03	2	20
LNU876	0.807	8.53E-03	5	14	LNU876	0.720	1.89E-02	1	14
LNU878	0.901	5.64E-03	3	27	LNU878	0.825	2.22E-02	3	25
LNU878	0.779	3.88E-02	3	11	LNU878	0.793	3.33E-02	3	26
LNU878	0.755	1.16E-02	1	30	LNU879	0.877	9.44E-03	3	27
LNU879	0.724	6.60E-02	3	25	LNU879	0.904	5.24E-03	3	11
LNU879	0.749	5.28E-02	3	28	LNU879	0.897	6.12E-03	3	26
LNU879	0.724	2.73E-02	7	54	LNU879	0.811	7.99E-03	2	46
LNU879	0.888	1.37E-03	2	32	LNU879	0.711	3.17E-02	5	7
LNU879	0.821	6.73E-03	5	56	LNU879	0.761	1.71E-02	5	60
LNU879	0.832	5.38E-03	5	37	LNU879	0.785	1.23E-02	5	40
LNU879	0.820	6.79E-03	5	14	LNU879	0.741	1.43E-02	1	30
LNU881	0.731	6.19E-02	3	38	LNU883	0.744	5.51E-02	3	49
LNU883	0.750	5.21E-02	3	3	LNU883	0.901	5.61E-03	3	5
LNU883	0.794	3.30E-02	3	45	LNU883	0.708	7.50E-02	3	11
LNU883	0.828	2.14E-02	3	61	LNU883	0.781	3.82E-02	3	24
LNU883	0.747	5.34E-02	3	21	LNU883	0.701	7.93E-02	3	38
LNU883	0.753	5.08E-02	3	19	LNU883	0.839	1.83E-02	3	57
LNU883	0.768	4.35E-02	3	41	LNU883	0.700	3.57E-02	5	30
LNU884	0.745	5.48E-02	3	23	LNU884	0.725	6.54E-02	3	24
LNU884	0.750	5.23E-02	3	21	LNU884	0.704	7.77E-02	3	41
LNU884	0.714	3.09E-02	8	50	LNU884	0.713	3.12E-02	8	12
LNU884	0.729	1.67E-02	1	7	LNU884	0.748	1.28E-02	1	56
LNU884	0.787	6.95E-03	1	37	LNU885	0.851	1.51E-02	3	52
LNU885	0.709	7.44E-02	3	28	LNU885	0.736	2.37E-02	2	39
LNU885	0.821	6.72E-03	5	18	LNU888	0.835	1.93E-02	3	27
LNU888	0.844	1.70E-02	3	25	LNU888	0.762	4.66E-02	3	11
LNU889	0.794	1.06E-02	5	10	LNU889	0.740	2.27E-02	5	56
LNU889	0.710	3.22E-02	5	60	LNU889	0.713	3.11E-02	5	37
LNU889	0.847	3.95E-03	5	14	LNU892	0.799	3.12E-02	3	3
LNU892	0.796	3.23E-02	3	11	LNU895	0.803	2.96E-02	3	49
LNU895	0.857	1.37E-02	3	3	LNU895	0.845	1.66E-02	3	15
LNU895	0.718	6.92E-02	3	5	LNU895	0.868	1.14E-02	3	45
LNU895	0.877	9.60E-03	3	23	LNU895	0.700	7.99E-02	3	61
LNU895	0.765	4.53E-02	3	24	LNU895	0.826	2.22E-02	3	21
LNU895	0.717	6.97E-02	3	38	LNU895	0.779	3.91E-02	3	41
LNU895	0.723	2.77E-02	6	45	LNU895	0.707	3.31E-02	6	52
LNU895	0.710	3.21E-02	2	53	LNU895	0.825	6.24E-03	8	31
LNU895	0.787	1.18E-02	8	53	LNU895	0.765	9.90E-03	1	18
LNU896	0.773	4.15E-02	3	27	LNU896	0.806	2.87E-02	3	25
LNU896	0.703	2.33E-02	1	30	LNU897	0.715	3.05E-02	7	1
LNU897	0.710	3.21E-02	8	46	LNU897	0.751	1.97E-02	8	53
LNU898	0.717	7.00E-02	3	45	LNU898	0.918	3.53E-03	3	38
LNU898	0.705	3.41E-02	6	38	LNU898	0.771	9.01E-03	1	7
LNU898	0.779	7.96E-03	1	56	LNU898	0.723	1.82E-02	1	60
LNU898	0.834	2.68E-03	1	37	LNU898	0.825	3.31E-03	1	40
LNU901	0.808	8.46E-03	8	50	LNU901	0.726	2.68E-02	8	35
LNU901	0.831	5.48E-03	8	39	LNU901	0.786	1.20E-02	8	4
LNU901	0.735	2.42E-02	8	62	LNU901	0.796	1.03E-02	8	33
LNU902	0.761	1.73E-02	6	5	LNU902	0.738	2.33E-02	6	61
LNU902	0.761	1.73E-02	6	24	LNU902	0.738	2.32E-02	6	21
LNU902	0.753	1.91E-02	6	57	LNU902	0.714	3.06E-02	6	41
LNU902	0.887	1.44E-03	7	1	LNU902	0.923	3.91E-04	7	47
LNU902	0.767	1.59E-02	5	18	LNU903	0.701	7.93E-02	3	28
LNU903	0.768	1.57E-02	6	52	LNU903	0.863	1.29E-03	1	18
LNU904	0.777	3.97E-02	3	22	LNU904	0.716	3.01E-02	7	43
LNU905	0.807	2.82E-02	3	22	LNU905	0.708	3.27E-02	2	32
LNU906	0.767	4.41E-02	3	49	LNU906	0.729	6.29E-02	3	5
LNU906	0.810	2.73E-02	3	45	LNU906	0.777	3.97E-02	3	61
LNU906	0.778	3.95E-02	3	38	LNU906	0.750	5.22E-02	3	57
LNU906	0.816	2.53E-02	3	41	LNU907	0.758	1.79E-02	8	20
LNU910	0.825	6.17E-03	6	49	LNU910	0.846	4.09E-03	6	3
LNU910	0.828	5.87E-03	6	25	LNU910	0.725	2.71E-02	6	5
LNU910	0.846	4.09E-03	6	23	LNU910	0.745	2.12E-02	6	61
LNU910	0.725	2.71E-02	6	24	LNU910	0.780	1.32E-02	6	21
LNU911	0.880	8.99E-03	3	27	LNU911	0.745	5.47E-02	3	11
LNU911	0.849	1.56E-02	3	26
LNU913	0.720	2.88E-02	7	55	LNU913	0.762	1.71E-02	7	43
LNU913	0.709	3.25E-02	5	51	LNU914	0.778	3.95E-02	3	5
LNU914	0.709	7.45E-02	3	45	LNU914	0.807	2.83E-02	3	61
LNU914	0.794	3.30E-02	3	19	LNU914	0.840	1.81E-02	3	57
LNU914	0.774	4.12E-02	3	41	LNU914	0.787	1.19E-02	6	45
LNU914	0.808	8.36E-03	6	52	LNU914	0.726	2.67E-02	6	41
LNU915	0.841	1.77E-02	3	49	LNU915	0.887	7.78E-03	3	3
LNU915	0.837	1.87E-02	3	15	LNU915	0.710	7.36E-02	3	45
LNU915	0.702	7.90E-02	3	61	LNU915	0.701	3.53E-02	5	48
LNU915	0.759	1.76E-02	5	2	LNU917	0.840	4.56E-03	2	46
LNU917	0.737	2.36E-02	2	32	LNU917	0.888	1.38E-03	8	32
LNU918	0.824	2.27E-02	3	25	LNU918	0.859	3.03E-03	2	46
LNU918	0.714	3.06E-02	2	53	LNU918	0.748	2.04E-02	8	32
LNU919	0.907	4.82E-03	3	25	LNU920	0.743	2.18E-02	5	51
LNU922	0.717	2.98E-02	6	22	LNU922	0.803	5.12E-03	1	48
LNU922	0.749	1.26E-02	1	2	LNU922	0.769	9.35E-03	1	60
LNU924	0.759	1.78E-02	8	16	LNU926	0.705	7.68E-02	3	49
LNU926	0.713	3.12E-02	7	1	LNU926	0.792	1.10E-02	7	59
LNU926	0.726	2.67E-02	7	47	LNU926	0.802	9.37E-03	5	18
LNU929	0.811	2.68E-02	3	23	LNU929	0.726	6.46E-02	3	24
LNU929	0.773	4.16E-02	3	21	LNU929	0.834	5.24E-03	2	46
LNU930	0.734	6.01E-02	3	52	LNU930	0.757	4.87E-02	3	22
LNU931	0.729	2.59E-02	2	50	LNU931	0.769	1.54E-02	2	12
LNU931	0.759	1.77E-02	2	58	LNU931	0.759	1.78E-02	2	62
LNU932	0.749	2.01E-02	6	22	LNU933	0.881	8.82E-03	3	49
LNU933	0.887	7.74E-03	3	3	LNU933	0.742	5.60E-02	3	15
LNU933	0.803	2.97E-02	3	23	LNU933	0.713	7.22E-02	3	61
LNU933	0.798	9.90E-03	8	12	LNU933	0.713	3.12E-02	8	58
LNU934	0.817	2.48E-02	3	27	LNU934	0.818	2.45E-02	3	25
LNU934	0.803	2.98E-02	3	11	LNU934	0.703	7.80E-02	3	52
LNU934	0.861	2.90E-03	5	51	LNU934	0.771	1.50E-02	5	30
LNU935	0.736	2.38E-02	6	41	LNU935	0.700	3.57E-02	8	8
LNU935	0.758	1.78E-02	8	39	LNU935	0.746	2.10E-02	8	4
LNU935	0.856	3.25E-03	8	42	LNU940	0.851	1.51E-02	3	11
LNU940	0.904	5.20E-03	3	52	LNU941	0.785	3.66E-02	3	25
LNU942	0.916	3.72E-03	3	49	LNU942	0.915	3.90E-03	3	3
LNU942	0.786	3.61E-02	3	23	LNU942	0.759	4.80E-02	3	61
LNU942	0.784	1.25E-02	7	44	LNU942	0.764	1.66E-02	7	55
LNU942	0.871	2.24E-03	7	9	LNU942	0.793	1.08E-02	7	13
LNU942	0.792	1.09E-02	7	36	LNU942	0.744	2.15E-02	7	59
LNU942	0.811	8.01E-03	7	43	LNU942	0.767	1.59E-02	7	6
LNU942	0.744	2.16E-02	8	4	LNU943	0.713	3.11E-02	6	49
LNU943	0.750	1.99E-02	6	3	LNU943	0.790	1.12E-02	6	25
LNU943	0.750	1.99E-02	6	23	LNU944	0.715	7.09E-02	3	49
LNU944	0.739	5.78E-02	3	3	LNU944	0.928	2.57E-03	3	15
LNU944	0.807	2.81E-02	3	45	LNU944	0.735	6.01E-02	3	41
LNU944	0.710	3.21E-02	7	6	LNU944	0.826	6.07E-03	2	12
LNU944	0.721	2.83E-02	2	35	LNU944	0.715	3.05E-02	2	34
LNU944	0.742	2.21E-02	2	8	LNU944	0.714	3.07E-02	2	20
LNU944	0.826	6.06E-03	2	39	LNU944	0.748	2.04E-02	2	4
LNU944	0.739	2.30E-02	2	58	LNU944	0.734	2.44E-02	2	62
LNU944	0.711	3.17E-02	2	33	LNU945	0.830	2.08E-02	3	22
LNU945	0.746	2.10E-02	6	22	LNU952	0.789	1.15E-02	7	29
LNU952	0.814	7.65E-03	7	54	LNU952	0.708	3.28E-02	8	32
LNU953	0.805	2.91E-02	3	27	LNU953	0.776	4.04E-02	3	11
LNU953	0.906	4.97E-03	3	26	LNU953	0.729	2.58E-02	2	35
LNU953	0.734	2.43E-02	2	39	LNU953	0.701	3.53E-02	2	4
LNU953	0.769	1.55E-02	2	33	LNU953	0.741	1.43E-02	1	37
LNU954	0.707	3.31E-02	5	10	LNU955	0.718	2.95E-02	7	44
LNU955	0.725	2.70E-02	8	33	LNU956	0.720	6.80E-02	3	22
LNU956	0.713	3.11E-02	6	22	LNU958	0.797	3.17E-02	3	22
LNU958	0.826	6.10E-03	6	15	LNU958	0.724	2.75E-02	6	5
LNU958	0.798	9.93E-03	6	45	LNU958	0.704	3.43E-02	6	52
LNU958	0.724	2.75E-02	6	24	LNU958	0.711	3.18E-02	6	57
LNU958	0.809	8.24E-03	6	41	LNU958	0.846	4.08E-03	2	32
LNU958	0.766	1.61E-02	5	37	LNU958	0.789	1.14E-02	8	16
LNU958	0.792	1.09E-02	8	42	LNU959	0.799	3.12E-02	3	19
LNU959	0.723	2.78E-02	8	50	LNU959	0.749	2.03E-02	8	33
LNU960	0.742	5.60E-02	3	11	LNU962	0.739	5.80E-02	3	25
LNU964	0.837	1.88E-02	3	49	LNU964	0.852	1.49E-02	3	3
LNU964	0.727	6.44E-02	3	15	LNU964	0.884	8.34E-03	3	5
LNU964	0.760	4.75E-02	3	45	LNU964	0.834	1.97E-02	3	11
LNU964	0.778	3.93E-02	3	23	LNU964	0.756	4.91E-02	3	52
LNU964	0.841	1.76E-02	3	61	LNU964	0.813	2.63E-02	3	24
LNU964	0.819	2.41E-02	3	21	LNU964	0.780	3.84E-02	3	38
LNU964	0.808	2.77E-02	3	57	LNU964	0.716	7.03E-02	3	41
LNU964	0.700	3.57E-02	6	45	LNU964	0.705	3.40E-02	6	38
LNU965	0.798	3.15E-02	3	27	LNU965	0.848	1.59E-02	3	26
LNU966	0.743	5.59E-02	3	61	LNU966	0.757	4.86E-02	3	57
LNU967	0.874	1.01E-02	3	49	LNU967	0.890	7.28E-03	3	3
LNU967	0.779	3.88E-02	3	23	LNU967	0.702	7.88E-02	3	61
LNU967	0.787	1.18E-02	6	41	LNU968	0.732	6.15E-02	3	27
LNU969	0.717	2.98E-02	7	9
Table 46. Provided are the correlations (R) between the expression levels yield improving genes and their homologues in various tissues [Expression sets (Exp)] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector)] under abiotic stress conditions (salinity) or normal conditions across Sorghum accessions. Cor. - Correlation vector as described hereinabove (Table 38). P = p value.

Example 7

Production of Maize Transcriptom and High Throughput Correlation Analysis with Yield And Nue Related Parameters Using 60K Maize Oligonucleotide Micro-Arrays

In order to produce a high throughput correlation analysis between plant phenotype and gene expression level, the present inventors utilized a maize oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 44,000 maize genes and transcripts.

Correlation of Maize Hybrids Across Ecotypes Grown Under Regular Growth Conditions

Experimental Procedures

12 Maize hybrids were grown in 3 repetitive plots, in field. Maize seeds were planted and plants were grown in the field using commercial fertilization and irrigation protocols (485 metric cubes of water per dunam, 30 units of uran 21% fertilization per entire growth period). In order to define correlations between the levels of RNA expression with stress and yield components or vigor related parameters, the 12 different maize hybrids were analyzed. Among them, 10 hybrids encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Analyzed Maize tissues - All 10 selected maize hybrids were sampled per 3 time points (TP2 = V6-V8, TP5 = R1-R2, TP6=R3-R4). Four types of plant tissues [Ear, flag leaf indicated in Table 47 as “leaf”, grain distal part, and internode] growing under Normal conditions were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 47 below.

Maize transcriptom expression sets
Expression Set                   Set ID
Maize field/Normal/Ear TP5       1
Maize field/Normal/Ear TP6       2
Maize field/Normal/Grain Distal  3
Maize field/Normal/Internode TP2 4
Maize field/Normal/Internode TP5 5
Maize field/Normal/Internode TP6 6
Maize field/Normal/Leaf TP2      7
Maize field/Normal/Leaf TP5      8
Table 47: Provided are the maize transcriptom expression sets. Leaf = the leaf below the main ear; Flower meristem = Apical meristem following male flower initiation; Ear = the female flower at the anthesis day. Grain Distal = maize developing grains from the cob extreme area, Grain Basal = maize developing grains from the cob basal area; Internodes = internodes located above and below the main ear in the plant. TP= time point.

The following parameters were collected using digital imaging system:

• Grain Area (cm²) - At the end of the growing period the grains were separated from the ear. A sample of ~200 grains were weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.
• Grain Length and Grain width (cm) - At the end of the growing period the grains were separated from the ear. A sample of ~200 grains were weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths /or width (longest axis) was measured from those images and was divided by the number of grains.
• Ear Area (cm²) - At the end of the growing period 5 ears were, photographed and images were processed using the below described image processing system. The Ear area was measured from those images and was divided by the number of Ears.
• Ear Length and Ear Width (cm) - At the end of the growing period 5 ears were, photographed and images were processed using the below described image processing system. The Ear length and width (longest axis) was measured from those images and was divided by the number of ears.

The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program - ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888x2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

Additional parameters were collected either by sampling 6 plants per plot or by measuring the parameter across all the plants within the plot.

Normalized Grain Weight per plant (gr.) - At the end of the experiment all ears from plots within blocks A-C were collected. Six ears were separately threshed and grains were weighted, all additional ears were threshed together and weighted as well. The average grain weight per ear was calculated by dividing the total grain weight by number of total ears per plot (based on plot). In case of 6 ears, the total grains weight of 6 ears was divided by 6.

Ear FW (gr.) - At the end of the experiment (when ears were harvested) total and 6 selected ears per plots within blocks A-C were collected separately. The plants with (total and 6) were weighted (gr.) separately and the average ear per plant was calculated for total [Ear FW (fresh weight) per plot] and for 6 (Ear FW per plant).

Plant height and Ear height - Plants were characterized for height at harvesting. In each measure, 6 plants were measured for their height using a measuring tape. Height was measured from ground level to top of the plant below the tassel. Ear height was measured from the ground level to the place were the main ear is located.

Leaf number per plant - Plants were characterized for leaf number during growing period at 5 time points. In each measure, plants were measured for their leaf number by counting all the leaves of 3 selected plants per plot.

Relative Growth Rate was calculated using Formulas II-XIII (described above).

SPAD - Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 64 days post sowing. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot. Data were taken after 46 and 54 days after sowing (DPS).

Dry weight per plant - At the end of the experiment (when inflorescence were dry) all vegetative material from plots within blocks A-C were collected.

Dry weight = total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours.

Harvest Index (HI) (Maize) - The harvest index was calculated using Formula XVII above.

Percent Filled Ear [%] - was calculated as the percentage of the Ear area with grains out of the total ear.

Cob diameter [cm] - The diameter of the cob without grains was measured using a ruler.

Kernel Row Number per Ear - The number of rows in each ear was counted.

Experimental Results

12 different maize hybrids were grown and characterized for different parameters. The correlated parameters are described in Table 48 below. The average for each of the measured parameter was calculated using the JMP software (Tables 49-50) and a subsequent correlation analysis was performed. Results were then integrated to the database.

Maize correlated parameters (vectors)
Correlated parameter with        Correlation ID
Cob Diameter mm                  1
DW per Plant based on 6 gr       2
Ear Area cm2                     3
Ear FW per Plant based on 6 gr   4
Ear Height cm                    5
Ear Length cm                    6
Ear Width cm                     7
Ears FW per plant based on all gr 8
Filled per Whole Ear             9
Grain Area cm2                   10
Grain Length cm                  11
Grain Width cm                   12
Growth Rate Leaf Num             13
Kernel Row Number per Ear        14
Leaf Number per Plant            15
Normalized Grain Weight per Plant based on all gr 16
Normalized Grain Weight per plant based on 6 gr 17
Percent Filled Ear               18
Plant Height per Plot cm         19
SPAD 46DPS TP2                   20
SPAD 54DPS TP5                   21
Table 48. SPAD 46DPS and SPAD 54DPS: Chlorophyl level after 46 and 54 days after sowing (DPS). “FW” = fresh weight; “DW” = dry weight.

Measured parameters in Maize accessions under normal conditions
Corr. ID/line ID	21	20	1	2	3	4	5	6	7	8	9	10	11
Line-1	54. 28	51. 67	28. 96	657 .50	85. 06	245 .83	135 .17	19. 69	5.5 8	278 .19	0.9 2	0.7 5	1.1 7
Line-2	57. 18	56. 41	25. 08	491 .67	85. 84	208 .33	122 .33	19. 06	5.1 5	217 .50	0.9 2	0.7 1	1.0 9
Line-3	56. 01	53. 55	28. 05	641 .11	90. 51	262 .22	131 .97	20. 52	5.6 7	288 .28	0.9 3	0.7 6	1.1 8
Line-4	59. 68	55. 21	25. 73	580 .56	95. 95	263 .89	114 .00	21. 34	5.5 3	247 .88	0.9 2	0.7 7	1.2 1
Line-5	54. 77	55. 30	28. 72	655 .56	91. 62	272 .22	135 .28	20. 92	5.7 3	280 .11	0.9 1	0.8 1	1.2 3
Line-6	59. 14	59. 35	25. 78	569 .44	72. 41	177 .78	94. 28	18. 23	5.2 3	175 .84	0.9 5	0.7 1	1.1 2
Line-7	57. 99	58. 48	26. 43	511 .11	74. 03	188 .89	120 .94	19. 02	5.2 2	192 .47	0.8 7	0.7 1	1.1 4
Line-8	60. 36	55. 88	25. 19	544 .44	76. 53	197 .22	107 .72	18. 57	5.3 3	204 .70	0.9 4	0.7 5	1.1 3
Line-9	54. 77	52. 98
Line-10	51. 39	53. 86	26. 67	574 .17	55. 20	141 .11	60. 44	16. 69	4.1 2	142 .72	0.8 0	0.5 0	0.9 2
Line-11	61. 14	59. 75		522 .22	95. 36	261 .11	112 .50	21. 70	5.5 8	264 .24	0.9 6	0.7 6	1.1 8
Line-12	53. 34	49. 99
Table 49. Provided are the values of each of the parameters (as described above) measured in maize accessions (line ID) under regular growth conditions. Growth conditions are specified in the experimental procedure section.

Additional measured parameters in Maize accessions under normal growth conditions
Corr. ID/line ID	12	13	14	15	16	17	18	19
Line-1	0.81	0.28	16.17	12.00	153.90	140.68	80.62	278.08
Line-2	0.81	0.22	14.67	11.11	135.88	139.54	86.76	260.50
Line-3	0.80	0.28	16.20	11.69	152.50	153.67	82.14	275.13
Line-4	0.80	0.27	15.89	11.78	159.16	176.98	92.71	238.50
Line-5	0.82	0.31	16.17	11.94	140.46	156.61	80.38	286.94
Line-6	0.80	0.24	15.17	12.33	117.14	119.67	82.76	224.83
Line-7	0.79	0.24	16.00	12.44	123.24	119.69	73.25	264.44
Line-8	0.84	0.27	14.83	12.22	131.27	133.51	81.06	251.61
Line-9
Line-10	0.68	0.19	14.27	9.28	40.84	54.32	81.06	163.78
Line-11	0.81	0.30	15.39	12.56	170.66	173.23	91.60	278.44
Line-12
Table 50. Provided are the values of each of the parameters (as described above) measured in maize accessions (line ID) under regular growth conditions. Growth conditions are specified in the experimental procedure section.

Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal conditions across maize varieties
Gene Name	R	P value	Exp. set	Cor. Set ID	Gene Name	R	P value	Exp. set	Cor. Set ID
LNU811	0.752	3.14E-02	8	13	LNU811	0.724	4.23E-02	8	11
LNU811	0.748	3.30E-02	8	10	LNU813	0.737	3.68E-02	5	12
LNU813	0.766	4.48E-02	4	15	LNU813	0.738	5.84E-02	4	19
LNU813	0.854	1.44E-02	4	5	LNU813	0.827	2.16E-02	4	8
LNU813	0.701	7.96E-02	4	4	LNU813	0.746	3.37E-02	8	11
LNU813	0.750	3.19E-02	8	6	LNU813	0.873	9.59E-04	6	20
LNU813	0.843	3.53E-02	2	15	LNU814	0.726	4.16E-02	5	11
LNU814	0.790	1.97E-02	5	6	LNU814	0.753	8.40E-02	4	1
LNU814	0.900	5.74E-03	4	14	LNU814	0.748	5.34E-02	4	6
LNU814	0.867	1.15E-02	4	8	LNU814	0.825	2.22E-02	4	4
LNU814	0.770	7.34E-02	7	1	LNU814	0.746	5.40E-02	7	14
LNU814	0.824	2.28E-02	7	13	LNU814	0.815	2.54E-02	7	6
LNU814	0.844	1.70E-02	7	8	LNU814	0.813	2.62E-02	7	4
LNU814	0.892	6.99E-03	1	14	LNU814	0.735	5.99E-02	1	8
LNU814	0.756	4.94E-02	1	4	LNU814	0.789	6.62E-03	6	6
LNU814	0.782	7.51E-03	6	8	LNU814	0.770	9.12E-03	6	4
LNU814	0.749	8.63E-02	2	3	LNU814	0.722	1.05E-01	2	16
LNU814	0.859	2.84E-02	2	6	LNU814	0.964	1.90E-03	2	9
LNU814	0.884	1.94E-02	2	18	LNU814	0.829	4.12E-02	2	17
LNU815	0.803	5.42E-02	2	9	LNU815	0.715	1.10E-01	2	18
LNU816	0.851	1.52E-02	4	19	LNU816	0.825	2.24E-02	4	5
LNU816	0.799	5.66E-02	1	1	LNU816	0.778	6.87E-02	2	12
LNU818	0.795	3.26E-02	4	12	LNU818	0.726	6.45E-02	1	14
LNU818	0.791	3.42E-02	1	15	LNU818	0.727	6.40E-02	1	11
LNU818	0.788	3.54E-02	1	9	LNU818	0.733	6.10E-02	1	10
LNU818	0.761	4.68E-02	1	7	LNU818	0.792	3.36E-02	1	12
LNU818	0.735	3.76E-02	8	13	LNU818	0.827	1.14E-02	8	11
LNU818	0.732	3.88E-02	8	10	LNU818	0.735	2.40E-02	3	15
LNU819	0.801	3.02E-02	4	18	LNU819	0.726	6.45E-02	1	3
LNU819	0.787	3.58E-02	1	6	LNU819	0.951	9.89E-04	1	18
LNU820	0.735	9.57E-02	2	12	LNU821	0.840	9.08E-03	5	3
LNU821	0.759	2.90E-02	5	16	LNU821	0.821	1.24E-02	5	11
LNU821	0.920	1.22E-03	5	6	LNU821	0.810	1.48E-02	5	4
LNU821	0.864	5.63E-03	5	17	LNU821	0.908	4.74E-03	1	14
LNU821	0.702	7.86E-02	1	13	LNU821	0.729	6.31E-02	1	6
LNU821	0.796	3.23E-02	1	8	LNU821	0.812	2.65E-02	1	4
LNU821	0.756	8.20E-02	2	9	LNU821	0.752	8.49E-02	2	18
LNU822	0.753	8.42E-02	4	1	LNU822	0.839	1.84E-02	4	2
LNU822	0.828	1.10E-02	8	1	LNU822	0.730	3.99E-02	8	14
LNU822	0.961	1.45E-04	8	13	LNU822	0.809	1.50E-02	8	11
LNU822	0.808	1.53E-02	8	10	LNU822	0.948	3.34E-04	8	2
LNU822	0.898	2.48E-03	8	7	LNU822	0.707	5.00E-02	8	8
LNU823	0.875	9.86E-03	7	3	LNU823	0.790	3.44E-02	7	16
LNU823	0.905	5.13E-03	7	6	LNU823	0.950	1.02E-03	7	18
LNU823	0.715	7.07E-02	7	19	LNU823	0.774	4.10E-02	7	8
LNU823	0.838	1.86E-02	7	4	LNU823	0.806	2.85E-02	7	17
LNU823	0.818	1.31E-02	8	12	LNU823	0.770	7.33E-02	2	9
LNU824	0.702	5.24E-02	5	2	LNU824	0.835	9.85E-03	5	12
LNU824	0.704	7.74E-02	1	5	LNU824	0.780	2.25E-02	3	1
LNU824	0.705	3.39E-02	3	5	LNU824	0.849	3.25E-02	2	12
LNU825	0.802	5.48E-02	2	12	LNU829	0.931	7.75E-04	8	1
LNU829	0.781	2.22E-02	8	13	LNU829	0.876	4.34E-03	8	19
LNU829	0.813	1.42E-02	8	2	LNU829	0.787	2.05E-02	8	5
LNU829	0.781	2.21E-02	8	7	LNU829	0.756	3.00E-02	8	8
LNU830	0.751	8.50E-02	2	9	LNU830	0.772	7.20E-02	2	18
LNU831	0.714	4.67E-02	8	2	LNU831	0.704	5.13E-02	8	7
LNU831	0.743	1.39E-02	6	8	LNU832	0.712	7.28E-02	7	3
LNU832	0.764	4.57E-02	7	16	LNU832	0.761	4.68E-02	7	11
LNU832	0.835	1.93E-02	7	10	LNU832	0.774	4.12E-02	7	19
LNU832	0.897	6.13E-03	7	5	LNU832	0.788	3.54E-02	7	7
LNU832	0.865	1.20E-02	7	12	LNU832	0.745	5.44E-02	7	17
LNU832	0.788	3.54E-02	1	15	LNU832	0.760	4.76E-02	1	13
LNU832	0.758	4.85E-02	1	9	LNU832	0.714	7.14E-02	1	10
LNU832	0.756	4.91E-02	1	7	LNU832	0.749	3.25E-02	8	12
LNU832	0.707	2.22E-02	6	10	LNU832	0.828	3.07E-03	6	12
LNU832	0.857	3.15E-03	3	15	LNU832	0.714	3.08E-02	3	10
LNU832	0.729	2.59E-02	3	12	LNU832	0.780	6.70E-02	2	12
LNU833	0.810	5.08E-02	7	1	LNU833	0.805	1.60E-02	8	1
LNU833	0.701	5.27E-02	8	14	LNU833	0.780	2.25E-02	8	2
LNU833	0.746	8.84E-02	2	14	LNU834	0.718	6.89E-02	4	3
LNU834	0.754	5.05E-02	4	6	LNU834	0.717	6.99E-02	4	10
LNU834	0.717	6.96E-02	4	19	LNU834	0.867	1.15E-02	4	5
LNU834	0.704	7.77E-02	4	7	LNU834	0.733	6.11E-02	4	8
LNU834	0.724	6.56E-02	4	12	LNU834	0.707	7.58E-02	4	4
LNU834	0.843	1.72E-02	7	15	LNU834	0.855	1.42E-02	7	21
LNU834	0.883	8.46E-03	7	9	LNU834	0.828	2.14E-02	7	12
LNU834	0.717	6.97E-02	1	15	LNU834	0.747	5.38E-02	1	9
LNU834	0.778	3.93E-02	1	10	LNU834	0.857	1.36E-02	1	12
LNU834	0.972	5.30E-05	8	13	LNU834	0.876	4.37E-03	8	11
LNU834	0.958	1.78E-04	8	10	LNU834	0.776	2.35E-02	8	2
LNU834	0.876	4.30E-03	8	7	LNU834	0.708	4.92E-02	8	8
LNU834	0.729	4.01E-02	8	4	LNU834	0.747	2.09E-02	3	3
LNU834	0.828	5.89E-03	3	16	LNU834	0.859	3.03E-03	3	15
LNU834	0.840	4.61E-03	3	13	LNU834	0.915	5.41E-04	3	11
LNU834	0.723	2.77E-02	3	6	LNU834	0.720	2.88E-02	3	9
LNU834	0.943	1.39E-04	3	10	LNU834	0.874	2.06E-03	3	19
LNU834	0.778	1.35E-02	3	5	LNU834	0.883	1.63E-03	3	7
LNU834	0.906	7.68E-04	3	12	LNU834	0.708	3.28E-02	3	4
LNU834	0.835	5.12E-03	3	17	LNU834	0.765	7.62E-02	2	15
LNU834	0.703	1.20E-01	2	9	LNU834	0.775	7.00E-02	2	18
LNU834	0.860	2.81E-02	2	12	LNU835	0.716	7.01E-02	4	16
LNU835	0.734	6.03E-02	4	15	LNU835	0.807	2.83E-02	4	9
LNU835	0.791	3.43E-02	4	10	LNU835	0.846	1.64E-02	4	19
LNU835	0.777	3.98E-02	4	5	LNU835	0.917	3.64E-03	4	12
LNU835	0.766	4.45E-02	1	3	LNU835	0.805	2.89E-02	1	16
LNU835	0.707	7.55E-02	1	9	LNU835	0.753	5.07E-02	1	10
LNU835	0.960	6.02E-04	1	19	LNU835	0.930	2.38E-03	1	5
LNU835	0.791	3.42E-02	1	7	LNU835	0.841	1.77E-02	1	8
LNU835	0.746	5.42E-02	1	12	LNU835	0.728	6.34E-02	1	4
LNU835	0.732	6.14E-02	1	17	LNU835	0.758	8.07E-02	2	9
LNU835	0.882	2.00E-02	2	12	LNU837	0.822	2.32E-02	1	14
LNU837	0.703	7.79E-02	1	4	LNU837	0.778	2.31E-02	8	11
LNU837	0.755	3.02E-02	8	7	LNU837	0.845	3.40E-02	2	14
LNU837	0.907	1.26E-02	2	5	LNU838	0.819	1.29E-02	5	19
LNU838	0.711	4.80E-02	5	5	LNU838	0.860	2.80E-02	2	9
LNU838	0.948	4.01E-03	2	18	LNU839	0.717	6.99E-02	4	10
LNU839	0.717	6.96E-02	4	19	LNU839	0.867	1.15E-02	4	5
LNU839	0.704	7.77E-02	4	7	LNU839	0.724	6.56E-02	4	12
LNU839	0.972	5.30E-05	8	13	LNU839	0.876	4.37E-03	8	11
LNU839	0.958	1.78E-04	8	10	LNU839	0.776	2.35E-02	8	2
LNU839	0.876	4.30E-03	8	7	LNU839	0.708	4.92E-02	8	8
LNU839	0.729	4.01E-02	8	4	LNU839	0.765	7.62E-02	2	15
LNU839	0.703	1.20E-01	2	9	LNU839	0.775	7.00E-02	2	18
LNU840	0.759	4.77E-02	1	19	LNU840	0.781	3.80E-02	1	8
LNU840	0.834	3.89E-02	2	18	LNU841	0.707	7.55E-02	7	16
LNU841	0.755	5.00E-02	7	10	LNU841	0.774	4.10E-02	7	19
LNU841	0.861	1.29E-02	7	5	LNU841	0.855	1.43E-02	7	12
LNU841	0.704	2.31E-02	6	3	LNU841	0.824	3.36E-03	6	8
LNU841	0.775	8.41E-03	6	4	LNU843	0.736	5.94E-02	7	3
LNU843	0.796	3.22E-02	7	16	LNU843	0.776	4.03E-02	7	21
LNU843	0.729	6.29E-02	7	9	LNU843	0.806	2.85E-02	7	10
LNU843	0.866	1.17E-02	7	19	LNU843	0.793	3.33E-02	7	5
LNU843	0.721	6.77E-02	7	7	LNU843	0.866	1.18E-02	7	12
LNU843	0.770	4.28E-02	7	17	LNU843	0.754	5.02E-02	1	15
LNU845	0.801	3.03E-02	7	6	LNU845	0.877	9.48E-03	7	18
LNU845	0.703	7.84E-02	7	4	LNU845	0.708	7.51E-02	7	17
LNU845	0.834	3.90E-02	2	14	LNU845	0.711	1.13E-01	2	5
LNU846	0.817	2.49E-02	7	3	LNU846	0.777	4.00E-02	7	16
LNU846	0.721	6.76E-02	7	13	LNU846	0.777	3.97E-02	7	11
LNU846	0.889	7.41E-03	7	6	LNU846	0.894	6.59E-03	7	18
LNU846	0.796	3.22E-02	7	4	LNU846	0.834	1.97E-02	7	17
LNU846	0.733	9.72E-02	2	9	LNU846	0.724	1.04E-01	2	12
Table 51. Provided are the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector (Cor))] under normal conditions across maize varieties. P = p value.

Example 8

Production of Maize Transcriptom and High Throughput Correlation Analysis With Yield and Nue Related Parameters When Grown Under Reduced Nitrogen Fertilization Using 60K Maize Oligonucleotide Micro-Arrays

In order to produce a high throughput correlation analysis between plant phenotype and gene expression level, the present inventors utilized a maize oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?lPage=50879]. The array oligonucleotide represents about 44,000 maize genes and transcripts.

Correlation of Maize Hybrids Across Ecotypes Grown Under Low Nitrogen Conditions

Experimental Procedures

12 Maize hybrids were grown in 3 repetitive plots, in field. Maize seeds were planted and plants were grown in the field using commercial fertilization and irrigation protocols (485 metric cubes of water per dunam, 30 units of uran 21% fertilization per entire growth period). In order to define correlations between the levels of RNA expression with NUE and yield components or vigor related parameters, the 12 different maize hybrids were analyzed. Among them, 11 hybrids encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Analyzed Maize tissues - All 10 selected maize hybrids were sampled per each treatment (low N and normal conditions), in three time points: TP2 = V6-V8 (six to eight collar leaf are visible, rapid growth phase and kernel row determination begins), TP5 = R1-R2 (silking-blister), TP6 = R3-R4 (milk-dough). Four types of plant tissues [Ear, flag leaf indicated in Tables 52-53 as leaf, grain distal part, and internode] were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Tables 52-53 below.

Maize under low N conditions transcriptom expression sets
Expression Set                   Set ID
Maize field/Low/N/Ear/TPS        1
Maize field/Low/N/Ear/TP6        2
Maize field/Low/N/Internodes/TP2 3
Maize field/Low/N/Internodes/TPS 4
Maize field/Low/N/Leaf/TP5       5
Maize field/Low/N/Leaf/TP6       6
Table 52: Provided are the maize transcriptom expression sets. Leaf = the leaf below the main ear; Flower meristem = Apical meristem following male flower initiation; Ear = the female flower at the anthesis day. Grain Distal= maize developing grains from the cob extreme area, Grain Basal= maize developing grains from the cob basal area; Internodes = internodes located above and below the main ear in the plant.

Maize under normal conditions transcriptom expression sets
Set ID Expression Set
1      Maize field/Normal/Ear/R1-R2
2      Maize field/Normal/Ear/R3-R4
3      Maize field Normal/Grain/Distal/R4-R5
4      Maize field Normal/Internode/R1-R2
5      Maize field Normal/Internode/R3-R4
6      Maize field Normal/Internode/V6-V8
7      Maize field Normal/Leaf/R1-R2
8      Maize field Normal/Leaf/V6-V8
Table 53: Provided are the maize transcriptom expression sets. Leaf = the leaf below the main ear; Flower meristem = Apical meristem following male flower initiation; Ear = the female flower at the anthesis day. Grain Distal= maize developing grains from the cob extreme area, Grain Basal= maize developing grains from the cob basal area; Internodes = internodes located above and below the main ear in the plant.

The following parameters were collected were collected either by sampling 6 plants per plot or by measuring the parameter across all the plants within the plot.

Seed yield per plant (Kg.) - At the end of the experiment all ears from plots within blocks A-C were collected. 6 ears were separately threshed and grains were weighted, all additional ears were threshed together and weighted as well. The average grain weight per ear was calculated by dividing the total grain weight by number of total ears per plot (based on plot). In case of 6 ears, the total grains weight of 6 ears was divided by 6.

Ear weight per plot (gr.) - At the end of the experiment (when ears were harvested) total and 6 selected ears per plots within blocks were collected separately. The plants with (total and 6) were weighted (gr.) separately and the average ear per plant was calculated for Ear weight per plot (total of 42 plants per plot).

Plant height and Ear height - Plants were characterized for height at harvesting. In each measure, 6 plants were measured for their height using a measuring tape. Height was measured from ground level to top of the plant below the tassel. Ear height was measured from the ground level to the place were the main ear is located.

Leaf number per plant - Plants were characterized for leaf number during growing period at 5 time points. In each measure, plants were measured for their leaf number by counting all the leaves of 3 selected plants per plot.

SPAD - Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 64 days post sowing. SPAD meter readings were done on young fully developed leaf. Seven measurements per leaf were taken per plot. Data were taken after once per weeks after sowing.

Dry weight per plant - At the end of the experiment (when Inflorescence were dry) all vegetative material from plots within blocks A-C were collected.

Dry weight = total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours;

Ear length of Filled Ear [cm]- it was calculated as the length of the ear with grains out of the total ear.

Ear length and width [cm]- it was calculated as the length and width of the ear in the filled. Measurement was performed in 6 plants per each plot.

Kernel Row Number per Ear- The number of rows in each ear was counted.

Stalk width [cm]- The diameter of the stalk was measured in the internode located below the main ear. Measurement was performed in 6 plants per each plot.

Leaf area index [LAI]= total leaf area of all plants in a plot. Measurement was performed using a Leaf area-meter.

NUE [kg/kg] -is the ratio between total grain yield per total N applied in soil.

NUpE [kg/kg] -is the ratio between total plant biomass per total N applied in soil.

Yield/stalk width [kg/cm] -is the ratio between total grain yields and the width of the stalk.

Yield/LAI [kg] -is the ratio between total grain yields and total leaf area index.

Experimental Results

11 different maize hybrids were grown and characterized for different parameters. Tables 54-55 describe the Maize correlated parameters. The average for each of the measured parameter was calculated using the JMP software (Tables 56-59) and a subsequent correlation analysis was performed (Tables 60-61). Results were then integrated to the database.

Maize under low N conditions correlated parameters (vectors)
Correlation ID Correlated parameter with
1              Low N- Ear Length [cm]
2              Low N- Ear length of filled area [cm]
3              Low N- Ear with [mm]
4              Low N- Final Leaf Number
5              Low N- Final Main Ear Height [cm]
6              Low N- Final Plant Height [cm]
7              Low N- No of rows per ear
8              Low N- SPAD R1-2
9              Low N- SPAD R3-R4
10             Low N- Stalk width 20/08/09 close to TP5 [cm]
11             Low N- Ear weight per plot (42 plants per plot) [0 RH] [kg]
12             Low N- Final Plant DW [kg]
13             Low N- LAI
14             Low N- NUE yield kg/N applied in soil kg
15             Low N- NUE at early grain filling [R1-R2] yield Kg/N in plant SPAD
16             Low N- NUE at grain filling [R3-R4] yield Kg/ N in plant SPAD
17             Low N- NUpE [biomass/N applied]
18             Low N- Seed yield per dunam [kg]
19             Low N- Yield/LAI
20             Low N- Yield/stalk width
21             Low N- seed yield per 1 plant rest of the plot [0- RH in Kg]
Table 54. “cm” = centimeters’ “mm” = millimeters; “kg” = kilograms; SPAD at R1-R2 and SPAD R3-R4: Chlorophyl level after early and late stages of grain filling; “NUE” = nitrogen use efficiency; “NUpE” = nitrogen uptake efficiency; “LAI” = leaf area; “N” = nitrogen; Low N = under low Nitrogen conditions; “Normal” = under normal conditions; “dunam” = 1000 m2.

Maize under normal conditions correlated parameters (vectors)
Correlation ID Correlated parameter with
1              Normal -Final Plant DW [kg]
2              Normal- Ear Length [cm]
3              Normal- Ear length of filled area [cm]
4              Normal- Ear with [mm]
5              Normal- Final Leaf Number [number]
6              Normal- Final Main Ear Height [cm]
7              Normal- Final Plant Height [cm]
8              Normal- No of rows per ear
9              Normal- SPAD R1-2
10             Normal- SPAD R3-R4
11             Normal- Stalk width TP5 [mm]
12             Normal- Ear weight per plot [kg]
13             Normal- LAI
14             Normal- NUE yield kg/N applied in soil kg
15             Normal- NUE at early grain filling [R1-R2] yield Kg/ N in plant SPAD
16             Normal- NUE at grain filling [R3-R4] yield Kg/ N in plant SPAD
17             Normal- NUpE [biomass/N applied]
18             Normal- Seed yield per dunam [kg]
19             Normal- Yield/LAI
20             Normal- Yield/stalk width
21             Normal- seed yield per 1 plant rest of the plot [0- RH in Kg]
Table 55. “cm” = centimeters’ “mm” = millimeters; “kg” = kilograms; SPAD at R1-R2 and SPAD R3-R4: Chlorophyl level after early and late stages of grain filling; “NUE” = nitrogen use efficiency; “NUpE” = nitrogen uptake efficiency; “LAI” = leaf area; “N” = nitrogen; Low N = under low Nitrogen conditions; “Normal” = under normal conditions; “dunam” = 1000 m2.

Measured parameters in Maize accessions under normal conditions
Corr. ID/ Line	1	2	3	4	5	6	7	8	9	10	11
Line-1	1.26 7	19.9 44	16.2 33	51.0 75	11.8 00	130.31 1	273.4 56	16.1 11	56.88 9	59.9 33	2.9 11
Line-2	1.30 0	20.1 67	17.5 00	46.2 90	11.1 11	122.33 3	260.5 00	14.6 67	57.16 1	60.9 00	2.6 44
Line-3	1.33 3	18.1 11	17.7 22	45.9 19	13.2 78	127.66 7	288.0 00	15.4 44	59.27 2	56.8 92	2.7 11
Line-4	1.50 0	19.8 89	18.4 44	47.6 32	11.7 78	113.02 2	238.5 00	15.8 89	61.61 1	58.7 00	2.9 00
Line-5	1.30 0	19.5 00	15.6 67	51.4 07	11.9 44	135.27 8	286.9 44	16.1 67	58.62 8	58.7 00	2.7 00
Line-6	1.58 3	17.7 22	14.6 67	47.4 20	12.3 33	94.278	224.8 33	15.1 67	61.22 8	63.1 58	2.6 22
Line-7	1.41 7	17.6 67	12.9 44	47.2 53	12.4 44	120.94 4	264.4 44	16.0 00	60.16 7	59.7 50	2.9 22
Line-8	1.36 7	17.2 78	14.0 28	46.8 46	12.2 22	107.72 2	251.6 11	14.8 33	61.08 9	62.3 50	2.7 22
Line-9	11.3 83	20.5 00	18.7 78	49.2 75	12.5 56	112.50 0	278.4 44	15.3 89	62.20 0	61.9 25	2.8 44
Line-10	1.70 0	17.5 00	12.3 33	48.2 83	11.6 67	139.66 7	279.0 00	17.6 67	57.50 6	57.2 25	2.6 56
Line-11	0.41 7	19.8 56	16.0 67	41.8 37	9.27 8	60.444	163.7 78	14.2 67	52.04 4	49.3 42	2.2 56
Table 56. Provided are the values of each of the parameters (as described above) measured in maize accessions (line ID) under normal conditions. Growth conditions are specified in the experimental procedure section.

Additional Measured parameters in Maize accessions under normal conditions
Corr. ID/ Line	12	14	15	16	17	18	20	21	13	19
Line-1	8.943	4.452	23.43 1	24.97 8	0.008	1335. 625	456.7 07	0.167	3.208	426.0 86
Line-2	7.023	3.624	19.05 2	17.80 7	0.009	1087. 058	412.4 43	0.136	3.947	312.9 75
Line-3	7.533	4.008	20.29 3	20.33 2	0.009	1202. 532	443.3 68	0.150	3.332	307.2 77
Line-4	7.991	4.237	20.71 9	19.95 7	0.010	1271. 204	438.7 05	0.159	4.012	362.4 42
Line-5	8.483	4.010	20.48 6	19.02 6	0.009	1202. 966	446.6 59	0.150	3.864	314.1 38
Line-6	5.632	3.124	15.36 0	13.90 4	0.011	937.0 83	356.9 50	0.117	4.191	224.5 82
Line-7	6.100	3.286	16.38 3	16.23 4	0.009	985.8 93	337.4 86	0.123	3.969	266.4 37
Line-8	6.659	3.500	17.19 1	17.21 4	0.009	1050. 131	385.7 90	0.131	4.322	261.6 64
Line-9	8.402	4.551	21.95 5	21.01 7	0.076	1365. 293	481.9 42	0.171	2.888	482.3 29
Line-10	8.215	4.087	20.99 4	21.52 9	0.004	1226. 077	471.5 68	0.153	4.306
Line-11	1.879	1.003	5.725	5.519	0.003	300.9 28	139.7 28	0.038
Table 57. Provided are the values of each of the parameters (as described above) measured in maize accessions (line ID) under normal conditions. Growth conditions are specified in the experimental procedure section.

Measured parameters in Maize accessions under low Nitrogen conditions
Corr. ID/ Line	1	2	3	4	5	6	7	8	9	10	11
Line-1	20.6 14	18.3 98	46.7 13	15.0 24	158. 076	305. 836	14.1 81	60.2 36	59.2 86	2.76 4	6.60 5
Line-2	20.9 76	18.4 17	48.2 22	11.6 43	136. 238	270. 929	15.2 14	57.9 38	57.6 21	2.41 9	7.97 4
Line-3	20.2 22	19.7 78	48.3 23	13.5 00	128. 389	290. 611	15.0 00	58.7 61	58.4 00	2.65 0	9.63 4
Line-4	20.1 11	18.8 33	49.8 63	11.6 11	133. 056	252. 167	15.6 67	59.4 78	59.1 89	2.76 7	9.22 2
Line-5	20.1 11	16.2 22	52.8 73	11.8 33	137. 833	260. 222	16.0 00	58.5 00	58.1 94	2.67 2	7.63 0
Line-6	18.5 00	16.0 00	47.4 36	11.8 89	99.5 56	227. 222	15.9 44	64.0 39	62.6 67	2.59 4	7.21 5
Line-7	19.0 56	15.2 78	49.6 09	12.5 56	130. 167	271. 722	15.5 56	56.4 22	61.0 44	2.98 3	7.91 7
Line-8	18.2 50	15.6 94	48.5 67	11.6 67	114. 611	248. 611	14.5 00	60.0 00	59.8 67	2.61 1	28.9 61
Line-9	20.0 95	16.7 71	52.4 06	12.4 43	143. 862	279. 329	16.4 10	58.3 17	57.4 67	2.65 0	7.79 7
Line-10	17.8 06	14.0 56	42.6 34	9.27 8	61.6 11	171. 278	14.3 67	53.0 61	49.6 11	2.27 8	2.41 0
Line-11	1.2 50	19.5 56	50.0 03	13.1 67	114. 444	269. 778	15.7 44	61.7 17	61.8 67	2.81 7	9.77 5
Table 58: Provided are the values of each of the parameters (as described above) measured in maize accessions (line ID) under low nitrogen conditions. Growth conditions are specified in the experimental procedure section.

Additional measured parameters in Maize accessions under low Nitrogen conditions
Corr. ID/ Line	12	14	15	16	17	18	20	21	13	19
Line-1	1.593	7.225	18.02 3	18.35 2	0.011	083. 749	416.5 32	0.135	2.923	341.5 01
Line-2	1.429	8.411	21.78 7	21.91 9	0.010	1261. 635	528.3 83	0.158	3.155	408.0 93
Line-3	1.533	10.32 8	26.33 5	26.47 9	0.010	1549. 245	583.4 58	0.194	3.330	464.7 68
Line-4	1.950	9.986	25.14 4	25.33 3	0.013	1497. 865	541.0 17	0.187	2.873	522.2 58
Line-5	1.483	7.626	19.54 7	19.68 5	0.010	1143. 850	428.0 89	0.143	2.786	439.5 25
Line-6	1.600	7.728	18.04 9	18.54 1	0.011	1159. 260	444.2 94	0.145	3.764	312.5 81
Line-7	1.583	8.049	21.38 8	19.78 5	0.011	1207. 424	407.2 00	0.151	3.499	345.9 01
Line-8	1.283	8.334	20.78 8	20.91 7	0.009	1250. 052	477.4 38	0.156	5.016	287.7 35
Line-9	1.514	7.640	19.67 6	19.93 5	0.010	1146. 036	445.6 04	0.143
Line-10	0.433	2.555	7.213	7.722	0.003	383.2 19	167.9 02	0.048
Line-11	1.517	10.59 9	25.70 2	25.90 2	0.010	1589. 914	562.2 94	0.199	3.157	501.2 39
Table 59: Provided are the values of each of the parameters (as described above) measured in maize accessions (line ID) under low nitrogen conditions. Growth conditions are specified in the experimental procedure section.

Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal conditions across maize varieties
Gene Name	R	P value	Exp . set	Cor. Set ID	Gene Name	R	P value	Exp. set	Cor. Set ID
LNU811	0.880	2.07E-02	1	13	LNU811	0.809	5.10E-02	5	13
LNU811	0.748	3.29E-02	2	12	LNU811	0.896	2.58E-03	2	4
LNU811	0.814	1.39E-02	2	8	LNU811	0.855	3.02E-02	6	13
LNU813	0.945	4.45E-03	5	5	LNU813	0.934	6.46E-03	5	10
LNU813	0.825	4.34E-02	5	9	LNU813	0.718	4.48E-02	2	17
LNU813	0.757	2.96E-02	2	11	LNU813	0.718	4.48E-02	2	1
LNU813	0.747	5.37E-02	4	17	LNU813	0.747	5.37E-02	4	1
LNU813	0.849	7.73E-03	3	10	LNU813	0.809	2.74E-02	6	7
LNU813	0.704	7.72E-02	6	10	LNU813	0.701	7.93E-02	6	16
LNU813	0.851	1.52E-02	6	6	LNU813	0.743	5.58E-02	6	9
LNU814	0.766	4.47E-02	1	8	LNU814	0.976	8.47E-04	5	17
LNU814	0.713	1.11E-01	5	3	LNU814	0.976	8.47E-04	5	1
LNU814	0.725	1.03E-01	5	9	LNU814	0.702	1.20E-01	5	19
LNU814	0.745	3.41E-02	2	11	LNU814	0.718	6.94E-02	4	3
LNU814	0.757	4.90E-02	4	6	LNU814	0.847	1.61E-02	4	8
LNU814	0.711	7.30E-02	6	8	LNU815	0.736	3.72E-02	2	10
LNU815	0.845	8.22E-03	3	12	LNU815	0.833	1.02E-02	3	15
LNU815	0.761	2.83E-02	3	14	LNU815	0.877	4.20E-03	3	4
LNU815	0.881	3.87E-03	3	16	LNU815	0.761	2.83E-02	3	18
LNU815	0.761	2.83E-02	3	21	LNU815	0.725	4.20E-02	3	19
LNU815	0.794	1.87E-02	7	13	LNU816	0.807	5.22E-02	1	19
LNU816	0.710	7.39E-02	1	2	LNU816	0.945	4.48E-03	5	13
LNU816	0.711	4.80E-02	2	10	LNU816	0.866	2.58E-02	4	13
LNU816	0.705	5.09E-02	3	5	LNU816	0.833	2.01E-02	6	7
LNU816	0.738	5.82E-02	6	16	LNU816	0.726	6.47E-02	6	6
LNU816	0.816	7.34E-03	7	11	LNU816	0.759	1.78E-02	7	9
LNU817	0.728	1.01E-01	5	11	LNU818	0.708	7.51E-02	1	12
LNU818	0.731	6.18E-02	1	11	LNU818	0.879	9.14E-03	1	5
LNU818	0.719	6.85E-02	1	14	LNU818	0.907	4.80E-03	1	4
LNU818	0.937	1.84E-03	1	10	LNU818	0.719	6.85E-02	1	18
LNU818	0.719	6.85E-02	1	21	LNU818	0.814	2.60E-02	1	9
LNU818	0.721	6.75E-02	1	20	LNU818	0.741	9.18E-02	5	11
LNU818	0.796	5.80E-02	5	10	LNU818	0.766	7.60E-02	5	8
LNU818	0.758	2.94E-02	2	4	LNU818	0.789	2.00E-02	3	10
LNU818	0.869	2.47E-02	6	13	LNU818	0.700	7.98E-02	6	11
LNU818	0.758	4.81E-02	6	10	LNU818	0.805	8.91E-03	7	10
LNU818	0.801	9.46E-03	7	9	LNU819	0.772	4.19E-02	1	3
LNU819	0.770	7.32E-02	1	19	LNU819	0.773	4.15E-02	1	2
LNU819	0.813	4.92E-02	5	5	LNU819	0.722	1.83E-02	8	7
LNU819	0.769	9.28E-03	8	5	LNU819	0.709	2.18E-02	8	6
LNU819	0.742	5.64E-02	4	10	LNU819	0.713	4.73E-02	3	17
LNU819	0.713	4.73E-02	3	1	LNU819	0.727	6.44E-02	6	4
LNU820	0.714	4.66E-02	3	3	LNU820	0.749	3.25E-02	3	2
LNU821	0.702	7.87E-02	1	5	LNU821	0.753	5.08E-02	1	8
LNU822	0.824	1.18E-02	7	13	LNU823	0.705	7.67E-02	4	11
LNU823	0.879	9.16E-03	4	3	LNU823	0.795	3.25E-02	4	8
LNU823	0.812	4.97E-02	4	19	LNU823	0.717	4.54E-02	3	9
LNU823	0.710	7.37E-02	6	17	LNU823	0.710	7.37E-02	6	1
LNU823	0.702	3.50E-02	7	9	LNU824	0.704	7.74E-02	1	6
LNU824	0.791	1.93E-02	2	11	LNU824	0.764	2.72E-02	2	9
LNU824	0.754	1.89E-02	7	6	LNU825	0.725	4.18E-02	2	4
LNU825	0.706	5.04E-02	3	2	LNU828	0.829	4.12E-02	5	5
LNU829	0.894	2.72E-03	2	7	LNU829	0.771	2.52E-02	2	6
LNU829	0.907	7.49E-04	7	17	LNU829	0.907	7.49E-04	7	1
LNU830	0.862	2.73E-02	5	9	LNU830	0.738	3.67E-02	2	11
LNU831	0.790	3.44E-02	4	3	LNU832	0.734	6.02E-02	1	7
LNU832	0.932	2.24E-03	1	5	LNU832	0.714	1.11E-01	5	10
LNU832	0.778	3.92E-02	4	7	LNU832	0.809	2.74E-02	4	12
LNU832	0.747	5.34E-02	4	11	LNU832	0.814	2.60E-02	4	15
LNU832	0.780	3.86E-02	4	14	LNU832	0.822	2.33E-02	4	16
LNU832	0.917	3.65E-03	4	6	LNU832	0.780	3.86E-02	4	18
LNU832	0.780	3.86E-02	4	21	LNU832	0.803	2.98E-02	4	20
LNU832	0.722	6.68E-02	6	5	LNU832	0.703	3.48E-02	7	11
LNU832	0.809	8.29E-03	7	5	LNU832	0.709	3.24E-02	7	10
LNU832	0.795	1.05E-02	7	9	LNU833	0.843	3.50E-02	5	5
LNU833	0.728	1.01E-01	5	4	LNU833	0.789	1.99E-02	2	5
LNU833	0.823	3.43E-03	8	10	LNU833	0.710	7.40E-02	4	3
LNU833	0.721	4.37E-02	3	10	LNU833	0.740	9.27E-02	6	13
LNU833	0.702	7.84E-02	6	10	LNU833	0.884	3.56E-03	7	13
LNU834	0.935	6.23E-03	1	13	LNU834	0.847	1.62E-02	1	10
LNU834	0.754	5.01E-02	1	9	LNU834	0.853	3.08E-02	5	4
LNU834	0.804	5.40E-02	5	10	LNU834	0.712	1.13E-01	5	19
LNU834	0.807	5.22E-02	5	2	LNU834	0.707	5.00E-02	2	8
LNU834	0.727	1.73E-02	8	15	LNU834	0.731	1.64E-02	8	16
LNU834	0.735	2.42E-02	8	19	LNU834	0.792	3.39E-02	4	4
LNU834	0.947	1.20E-03	4	10	LNU834	0.871	1.07E-02	6	17
LNU834	0.720	6.82E-02	6	4	LNU834	0.820	2.38E-02	6	6
LNU834	0.871	1.07E-02	6	1	LNU834	0.825	4.33E-02	6	19
LNU834	0.706	7.62E-02	6	20	LNU834	0.779	1.33E-02	7	7
LNU834	0.801	9.44E-03	7	12	LNU834	0.716	3.00E-02	7	11
LNU834	0.742	2.22E-02	7	15	LNU834	0.768	1.57E-02	7	14
LNU834	0.853	3.46E-03	7	4	LNU834	0.712	3.13E-02	7	10
LNU834	0.761	1.73E-02	7	6	LNU834	0.768	1.57E-02	7	18
LNU834	0.768	1.57E-02	7	21	LNU834	0.764	1.65E-02	7	20
LNU835	0.966	3.91E-04	1	7	LNU835	0.793	3.32E-02	1	12
LNU835	0.743	5.55E-02	1	5	LNU835	0.816	2.52E-02	1	15
LNU835	0.778	3.92E-02	1	14	LNU835	0.836	1.91E-02	1	16
LNU835	0.915	3.86E-03	1	6	LNU835	0.778	3.92E-02	1	18
LNU835	0.778	3.92E-02	1	21	LNU835	0.822	2.34E-02	1	20
LNU835	0.753	8.37E-02	5	10	LNU835	0.772	2.48E-02	2	10
LNU835	0.881	8.80E-03	6	7	LNU835	0.811	2.69E-02	6	12
LNU835	0.711	7.35E-02	6	11	LNU835	0.724	6.57E-02	6	5
LNU835	0.809	2.76E-02	6	15	LNU835	0.801	3.06E-02	6	14
LNU835	0.759	4.77E-02	6	4	LNU835	0.821	2.36E-02	6	10
LNU835	0.812	2.66E-02	6	16	LNU835	0.814	2.59E-02	6	6
LNU835	0.801	3.06E-02	6	18	LNU835	0.801	3.06E-02	6	21
LNU835	0.833	2.00E-02	6	20	LNU837	0.713	7.24E-02	1	11
LNU837	0.879	9.15E-03	1	8	LNU837	0.737	9.44E-02	5	7
LNU837	0.845	3.41E-02	5	6	LNU837	0.731	2.54E-02	8	19
LNU837	0.752	5.14E-02	4	2	LNU838	0.821	4.54E-02	5	17
LNU838	0.715	1.10E-01	5	3	LNU838	0.821	4.54E-02	5	1
LNU838	0.784	2.14E-02	3	7	LNU838	0.717	4.53E-02	3	6
LNU839	0.853	3.08E-02	5	4	LNU839	0.712	1.13E-01	5	19
LNU839	0.807	5.22E-02	5	2	LNU839	0.707	5.00E-02	2	8
LNU839	0.820	2.38E-02	6	6	LNU840	0.842	1.74E-02	1	7
LNU840	0.701	7.90E-02	1	6	LNU840	0.884	1.95E-02	5	17
LNU840	0.884	1.95E-02	5	1	LNU841	0.754	5.01E-02	4	7
LNU841	0.761	4.68E-02	4	12	LNU841	0.781	3.80E-02	4	15
LNU841	0.729	6.29E-02	4	14	LNU841	0.760	4.76E-02	4	16
LNU841	0.894	6.56E-03	4	6	LNU841	0.729	6.29E-02	4	18
LNU841	0.729	6.29E-02	4	21	LNU841	0.769	4.32E-02	4	20
LNU843	0.761	4.69E-02	1	4	LNU843	0.726	6.49E-02	1	9
LNU843	0.717	1.97E-02	8	5	LNU843	0.828	2.15E-02	4	7
LNU843	0.864	1.21E-02	4	12	LNU843	0.800	3.08E-02	4	11
LNU843	0.852	1.48E-02	4	15	LNU843	0.840	1.79E-02	4	14
LNU843	0.742	5.64E-02	4	4	LNU843	0.717	6.98E-02	4	10
LNU843	0.859	1.34E-02	4	16	LNU843	0.834	1.98E-02	4	6
LNU843	0.840	1.79E-02	4	18	LNU843	0.840	1.79E-02	4	21
LNU843	0.848	1.59E-02	4	20	LNU844	0.894	1.63E-02	5	5
LNU845	0.761	7.91E-02	5	6	LNU845	0.800	1.71E-02	2	17
LNU845	0.800	1.71E-02	2	1	LNU845	0.825	1.17E-02	2	9
LNU845	0.710	2.14E-02	8	11	LNU845	0.874	1.01E-02	4	8
LNU846	0.809	5.14E-02	5	10	LNU846	0.787	2.06E-02	2	12
LNU846	0.865	5.50E-03	2	4	LNU846	0.707	4.99E-02	2	19
LNU846	0.735	1.55E-02	8	11	LNU846	0.706	2.26E-02	8	8
LNU846	0.746	5.39E-02	4	12	LNU846	0.819	2.41E-02	4	11
LNU846	0.737	5.88E-02	4	15	LNU846	0.771	4.23E-02	4	14
LNU846	0.796	3.24E-02	4	4	LNU846	0.703	7.81E-02	4	16
LNU846	0.771	4.23E-02	4	18	LNU846	0.899	5.94E-03	4	8
LNU846	0.771	4.23E-02	4	21	LNU846	0.726	6.45E-02	4	9
LNU846	0.755	8.24E-02	4	19	LNU846	0.724	6.56E-02	4	20
LNU846	0.809	8.33E-03	7	3	LNU846	0.849	7.69E-03	7	19
LNU846	0.746	2.09E-02	7	2
Table 60. Provided are the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector (Cor))] under normal conditions across maize varieties. P = p value.

Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under low N conditions across maize varieties
Gene Name	R	P value	Exp. set	Corr. Set ID	Gene Name	R	P value	Exp. set	Corr. Set ID
LNU811	0.836	3.80E-02	1	13	LNU811	0.782	2.18E-02	5	19
LNU813	0.876	2.22E-02	1	13	LNU813	0.762	4.66E-02	1	11
LNU813	0.835	1.93E-02	1	2	LNU813	0.731	6.18E-02	1	1
LNU813	0.766	1.61E-02	5	7	LNU813	0.705	5.09E-02	5	19
LNU813	0.730	9.98E-02	6	10	LNU813	0.842	3.53E-02	6	9
LNU813	0.879	2.10E-02	6	5	LNU813	0.941	5.07E-03	6	6
LNU813	0.708	1.16E-01	6	15	LNU813	0.708	1.15E-01	6	19
LNU813	0.733	9.77E-02	6	1	LNU813	0.727	1.73E-02	3	10
LNU813	0.766	9.82E-03	3	9	LNU813	0.843	1.72E-02	8	13
LNU813	0.726	6.48E-02	7	13	LNU813	0.702	5.21E-02	7	8
LNU813	0.746	5.42E-02	4	6	LNU814	0.832	3.97E-02	1	19
LNU814	0.923	3.02E-03	1	2	LNU814	0.752	5.12E-02	1	1
LNU814	0.713	7.21E-02	1	16	LNU814	0.873	4.67E-03	5	13
LNU814	0.786	2.07E-02	5	19	LNU814	0.777	6.88E-02	6	18
LNU814	0.850	3.20E-02	6	4	LNU814	0.776	6.94E-02	6	8
LNU814	0.777	6.88E-02	6	14	LNU814	0.703	1.20E-01	6	20
LNU814	0.897	1.54E-02	6	6	LNU814	0.881	2.04E-02	6	15
LNU814	0.808	5.18E-02	6	19	LNU814	0.777	6.88E-02	6	2
LNU814	0.777	6.88E-02	6	21	LNU814	0.833	3.95E-02	6	16
LNU814	0.785	3.64E-02	8	13	LNU814	0.752	3.14E-02	8	10
LNU814	0.727	4.08E-02	8	4	LNU814	0.873	1.03E-02	7	13
LNU814	0.799	1.73E-02	7	11	LNU814	0.826	2.21E-02	7	19
LNU814	0.766	2.67E-02	7	2	LNU814	0.774	2.43E-02	2	10
LNU814	0.802	3.02E-02	4	5	LNU814	0.729	6.28E-02	4	11
LNU814	0.742	5.61E-02	4	15	LNU814	0.839	1.83E-02	4	19
LNU814	0.703	7.78E-02	4	2	LNU814	0.709	7.47E-02	4	16
LNU815	0.775	7.03E-02	6	13	LNU815	0.903	1.37E-02	6	11
LNU816	0.830	2.08E-02	1	1	LNU816	0.934	6.40E-03	6	3
LNU816	0.815	4.09E-03	3	9	LNU816	0.911	4.27E-03	8	13
LNU816	0.753	3.10E-02	8	7	LNU816	0.883	8.36E-03	7	13
LNU816	0.910	1.71E-03	7	11	LNU817	0.748	2.04E-02	5	6
LNU817	0.737	9.47E-02	6	5	LNU817	0.708	4.94E-02	2	10
LNU817	0.792	1.92E-02	2	4	LNU817	0.916	1.41E-03	2	5
LNU817	0.893	2.82E-03	2	6	LNU817	0.775	4.09E-02	4	6
LNU818	0.878	9.37E-03	1	8	LNU818	0.844	8.44E-03	5	13
LNU818	0.705	3.40E-02	5	11	LNU818	0.910	1.19E-02	6	18
LNU818	0.760	7.98E-02	6	4	LNU818	0.709	1.15E-01	6	8
LNU818	0.910	1.19E-02	6	14	LNU818	0.716	1.10E-01	6	20
LNU818	0.771	7.29E-02	6	15	LNU818	0.796	5.84E-02	6	19
LNU818	0.742	9.11E-02	6	2	LNU818	0.910	1.19E-02	6	21
LNU818	0.814	4.89E-02	6	16	LNU818	0.806	8.77E-03	3	13
LNU818	0.705	5.08E-02	8	8	LNU818	0.828	1.12E-02	7	8
LNU818	0.882	8.69E-03	2	13	LNU818	0.882	3.71E-03	2	11
LNU818	0.776	4.04E-02	4	9	LNU818	0.860	1.31E-02	4	8
LNU819	0.712	1.12E-01	6	18	LNU819	0.712	1.12E-01	6	14
LNU819	0.703	1.19E-01	6	15	LNU819	0.889	1.78E-02	6	19
LNU819	0.946	4.29E-03	6	1	LNU819	0.712	1.12E-01	6	21
LNU819	0.742	5.63E-02	4	17	LNU819	0.729	6.32E-02	4	8
LNU819	0.859	1.32E-02	4	7	LNU819	0.742	5.63E-02	4	12
LNU820	0.854	3.06E-02	6	10	LNU820	0.748	8.71E-02	6	3
LNU820	0.771	7.27E-02	6	5	LNU820	0.738	3.67E-02	8	17
LNU820	0.738	3.67E-02	8	12	LNU820	0.783	2.16E-02	2	18
LNU820	0.783	2.16E-02	2	14	LNU820	0.826	1.15E-02	2	20
LNU820	0.778	2.29E-02	2	15	LNU820	0.783	2.16E-02	2	21
LNU820	0.798	1.76E-02	2	16	LNU821	0.705	1.18E-01	1	19
LNU821	0.701	7.95E-02	1	2	LNU821	0.835	3.85E-02	6	8
LNU821	0.846	8.04E-03	2	18	LNU821	0.846	8.04E-03	2	14
LNU821	0.874	4.59E-03	2	20	LNU821	0.818	1.31E-02	2	15
LNU821	0.888	7.64E-03	2	19	LNU821	0.922	1.13E-03	2	2
LNU821	0.763	2.75E-02	2	1	LNU821	0.846	8.04E-03	2	21
LNU821	0.867	5.26E-03	2	16	LNU821	0.953	8.86E-04	4	17
LNU821	0.953	8.86E-04	4	12	LNU822	0.727	6.41E-02	8	19
LNU822	0.795	3.24E-02	4	17	LNU822	0.795	3.24E-02	4	12
LNU823	0.832	2.02E-02	1	17	LNU823	0.712	7.28E-02	1	9
LNU823	0.712	7.29E-02	1	3	LNU823	0.710	7.38E-02	1	5
LNU823	0.926	2.77E-03	1	7	LNU823	0.832	2.02E-02	1	12
LNU823	0.710	3.23E-02	5	10	LNU823	0.770	9.19E-03	3	3
LNU823	0.735	3.79E-02	2	3	LNU823	0.842	8.65E-03	2	7
LNU823	0.713	7.21E-02	4	4	LNU823	0.704	7.75E-02	4	7
LNU824	0.769	4.32E-02	1	18	LNU824	0.757	4.88E-02	1	4
LNU824	0.769	4.32E-02	1	14	LNU824	0.740	5.71E-02	1	15
LNU824	0.800	5.60E-02	1	19	LNU824	0.774	4.10E-02	1	2
LNU824	0.784	3.71E-02	1	1	LNU824	0.769	4.32E-02	1	21
LNU824	0.746	5.40E-02	1	16	LNU824	0.791	1.12E-02	5	9
LNU824	0.714	3.07E-02	5	4	LNU824	0.758	4.85E-02	8	19
LNU824	0.703	5.17E-02	2	17	LNU824	0.835	9.93E-03	2	4
LNU824	0.877	4.25E-03	2	5	LNU824	0.889	3.12E-03	2	6
LNU824	0.703	5.17E-02	2	12	LNU824	0.786	3.60E-02	4	13
LNU824	0.846	1.65E-02	4	11	LNU825	0.800	3.06E-02	1	8
LNU825	0.916	3.70E-03	8	13	LNU825	0.885	3.45E-03	8	11
LNU825	0.729	4.03E-02	7	8	LNU825	0.908	4.75E-03	2	13
LNU825	0.804	1.62E-02	2	11	LNU825	0.740	5.74E-02	4	17
LNU825	0.740	5.74E-02	4	12	LNU828	0.990	1.44E-04	6	5
LNU828	0.823	4.40E-02	6	6	LNU828	0.721	1.06E-01	6	15
LNU829	0.805	2.91E-02	4	8	LNU830	0.762	2.78E-02	5	19
LNU830	0.748	8.74E-02	6	7	LNU831	0.939	5.45E-03	1	13
LNU831	0.715	7.09E-02	1	11	LNU831	0.904	2.03E-03	5	13
LNU831	0.757	1.81E-02	5	11	LNU831	0.702	7.90E-02	8	13
LNU831	0.894	6.66E-03	2	13	LNU831	0.921	3.25E-03	4	13
LNU831	0.978	1.40E-04	4	11	LNU832	0.825	2.23E-02	1	5
LNU832	0.768	4.36E-02	1	20	LNU832	0.866	1.18E-02	1	6
LNU832	0.719	6.85E-02	1	15	LNU832	0.801	3.05E-02	1	1
LNU832	0.706	7.60E-02	1	16	LNU832	0.895	1.61E-02	6	5
LNU832	0.875	2.24E-02	6	6	LNU832	0.856	3.21E-03	3	13
LNU832	0.767	9.66E-03	3	9	LNU832	0.827	3.13E-03	3	11
LNU832	0.707	4.96E-02	8	5	LNU832	0.746	3.36E-02	8	11
LNU832	0.713	4.73E-02	8	6	LNU832	0.797	1.79E-02	7	18
LNU832	0.827	1.13E-02	7	4	LNU832	0.725	4.20E-02	7	3
LNU832	0.893	2.85E-03	7	5	LNU832	0.797	1.79E-02	7	14
LNU832	0.829	1.09E-02	7	20	LNU832	0.944	4.10E-04	7	6
LNU832	0.839	9.28E-03	7	15	LNU832	0.797	1.79E-02	7	21
LNU832	0.817	1.33E-02	7	16	LNU832	0.809	1.51E-02	2	9
LNU832	0.734	3.80E-02	2	4	LNU832	0.717	4.54E-02	2	11
LNU832	0.751	3.17E-02	2	6	LNU833	0.778	3.96E-02	1	10
LNU833	0.813	2.61E-02	1	5	LNU833	0.765	4.51E-02	1	11
LNU833	0.746	5.44E-02	1	6	LNU833	0.873	1.02E-02	1	1
LNU833	0.776	6.99E-02	6	8	LNU833	0.738	9.37E-02	6	11
LNU833	0.853	1.46E-02	7	13	LNU833	0.904	2.03E-03	7	11
LNU833	0.715	4.62E-02	2	20	LNU833	0.738	3.66E-02	2	11
LNU833	0.715	4.63E-02	2	16	LNU833	0.745	5.46E-02	4	9
LNU833	0.836	1.92E-02	4	8	LNU834	0.820	2.41E-02	1	18
LNU834	0.737	5.87E-02	1	10	LNU834	0.871	1.07E-02	1	17
LNU834	0.810	2.71E-02	1	9	LNU834	0.722	6.72E-02	1	4
LNU834	0.819	2.43E-02	1	3	LNU834	0.805	2.90E-02	1	5
LNU834	0.894	6.67E-03	1	7	LNU834	0.820	2.41E-02	1	14
LNU834	0.750	5.23E-02	1	20	LNU834	0.803	2.96E-02	1	6
LNU834	0.869	1.10E-02	1	15	LNU834	0.871	1.07E-02	1	12
LNU834	0.886	1.88E-02	1	19	LNU834	0.805	2.88E-02	1	2
LNU834	0.724	6.61E-02	1	1	LNU834	0.820	2.41E-02	1	21
LNU834	0.852	1.49E-02	1	16	LNU834	0.927	7.87E-03	6	18
LNU834	0.846	3.38E-02	6	4	LNU834	0.927	7.87E-03	6	14
LNU834	0.831	4.03E-02	6	15	LNU834	0.879	2.12E-02	6	19
LNU834	0.758	8.05E-02	6	2	LNU834	0.927	7.87E-03	6	21
LNU834	0.839	3.69E-02	6	16	LNU834	0.723	2.78E-02	3	13
LNU834	0.743	1.37E-02	3	17	LNU834	0.786	7.05E-03	3	9
LNU834	0.711	2.12E-02	3	3	LNU834	0.795	6.03E-03	3	11
LNU834	0.743	1.37E-02	3	12	LNU834	0.700	5.31E-02	8	10
LNU834	0.927	9.31E-04	8	4	LNU834	0.758	2.93E-02	8	5
LNU834	0.855	6.81E-03	8	6	LNU834	0.775	2.38E-02	7	7
LNU834	0.760	2.87E-02	7	11	LNU834	0.933	2.14E-03	2	13
LNU834	0.748	3.29E-02	2	17	LNU834	0.765	2.69E-02	2	9
LNU834	0.883	3.63E-03	2	4	LNU834	0.851	7.38E-03	2	5
LNU834	0.850	7.48E-03	2	6	LNU834	0.748	3.29E-02	2	12
LNU834	0.822	2.31E-02	4	13	LNU834	0.990	1.73E-05	4	11
LNU835	0.867	1.16E-02	1	8	LNU835	0.710	7.37E-02	1	20
LNU835	0.822	4.45E-02	6	11	LNU835	0.754	1.89E-02	3	13
LNU835	0.892	6.97E-03	8	13	LNU835	0.973	4.88E-05	8	11
LNU835	0.739	3.61E-02	7	5	LNU835	0.711	4.81E-02	7	20
LNU835	0.788	2.01E-02	2	4	LNU835	0.780	2.25E-02	2	6
LNU835	0.881	8.78E-03	4	13	LNU837	0.897	1.54E-02	1	19
LNU837	0.776	4.02E-02	1	2	LNU837	0.825	2.24E-02	1	1
LNU838	0.941	1.55E-03	4	13	LNU838	0.953	9.08E-04	4	11
LNU839	0.820	2.41E-02	1	18	LNU839	0.739	5.77E-02	1	17
LNU839	0.722	6.72E-02	1	4	LNU839	0.740	5.73E-02	1	3
LNU839	0.805	2.90E-02	1	5	LNU839	0.820	2.41E-02	1	14
LNU839	0.750	5.23E-02	1	20	LNU839	0.803	2.96E-02	1	6
LNU839	0.869	1.10E-02	1	15	LNU839	0.739	5.77E-02	1	12
LNU839	0.886	1.88E-02	1	19	LNU839	0.805	2.88E-02	1	2
LNU839	0.724	6.61E-02	1	1	LNU839	0.820	2.41E-02	1	21
LNU839	0.852	1.49E-02	1	16	LNU839	0.927	7.87E-03	6	18
LNU839	0.846	3.38E-02	6	4	LNU839	0.731	9.85E-02	6	8
LNU839	0.927	7.87E-03	6	14	LNU839	0.831	4.03E-02	6	15
LNU839	0.879	2.12E-02	6	19	LNU839	0.758	8.05E-02	6	2
LNU839	0.927	7.87E-03	6	21	LNU839	0.839	3.69E-02	6	16
LNU839	0.723	2.78E-02	3	13	LNU839	0.795	6.03E-03	3	11
LNU839	0.760	2.87E-02	7	11	LNU839	0.883	3.63E-03	2	4
LNU839	0.851	7.38E-03	2	5	LNU839	0.850	7.48E-03	2	6
LNU839	0.822	2.31E-02	4	13	LNU839	0.752	5.11E-02	4	9
LNU839	0.930	2.40E-03	4	8	LNU839	0.990	1.73E-05	4	11
LNU840	0.701	5.28E-02	7	9	LNU841	0.843	3.50E-02	6	13
LNU841	0.737	3.69E-02	8	8	LNU841	0.929	2.48E-03	7	13
LNU841	0.808	1.54E-02	7	11	LNU843	0.701	7.94E-02	1	18
LNU843	0.871	1.07E-02	1	10	LNU843	0.890	7.22E-03	1	17
LNU843	0.787	3.58E-02	1	9	LNU843	0.803	2.97E-02	1	3
LNU843	0.821	2.36E-02	1	7	LNU843	0.701	7.94E-02	1	14
LNU843	0.890	7.22E-03	1	12	LNU843	0.701	7.94E-02	1	21
LNU843	0.722	1.84E-02	3	10	LNU844	0.745	8.95E-02	6	10
LNU844	0.865	5.60E-03	8	7	LNU844	0.765	2.69E-02	7	17
LNU844	0.814	1.38E-02	7	7	LNU844	0.765	2.69E-02	7	12
LNU845	0.823	2.28E-02	1	18	LNU845	0.706	7.65E-02	1	17
LNU845	0.786	3.60E-02	1	9	LNU845	0.746	5.42E-02	1	3
LNU845	0.903	5.33E-03	1	5	LNU845	0.823	2.28E-02	1	14
LNU845	0.847	1.61E-02	1	20	LNU845	0.840	1.81E-02	1	6
LNU845	0.871	1.06E-02	1	15	LNU845	0.706	7.65E-02	1	12
LNU845	0.818	4.68E-02	1	19	LNU845	0.879	9.12E-03	1	2
LNU845	0.909	4.59E-03	1	1	LNU845	0.823	2.28E-02	1	21
LNU845	0.873	1.04E-02	1	16	LNU845	0.818	4.64E-02	6	9
LNU845	0.894	1.62E-02	6	7	LNU845	0.705	2.28E-02	3	7
LNU845	0.710	3.20E-02	3	19	LNU845	0.785	7.12E-03	3	1
LNU845	0.784	2.12E-02	8	17	LNU845	0.839	9.14E-03	8	9
LNU845	0.816	1.35E-02	8	8	LNU845	0.740	3.58E-02	8	7
LNU845	0.717	4.54E-02	8	20	LNU845	0.784	2.12E-02	8	12
LNU845	0.763	2.75E-02	7	9	LNU845	0.762	2.79E-02	7	8
LNU845	0.797	3.17E-02	4	5	LNU845	0.703	7.81E-02	4	6
LNU846	0.711	1.13E-01	6	10	LNU846	0.791	6.08E-02	6	3
LNU846	0.843	8.57E-03	8	17	LNU846	0.881	3.86E-03	8	5
LNU846	0.788	2.03E-02	8	6	LNU846	0.843	8.57E-03	8	12
LNU846	0.779	2.26E-02	7	10	LNU846	0.701	5.25E-02	2	18
LNU846	0.820	1.26E-02	2	10	LNU846	0.845	8.19E-03	2	9
LNU846	0.832	1.05E-02	2	3	LNU846	0.701	5.25E-02	2	14
LNU846	0.724	4.25E-02	2	6	LNU846	0.711	4.82E-02	2	15
LNU846	0.701	5.25E-02	2	21
Table 61. Provided are the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector (Cor))] under low Nitrogen conditions across maize varieties. P = p value.

Example 9

Production of Tomato Transcriptom and High Throughput Correlation Analysis Using 44K Tomato Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis between NUE related phenotypes and gene expression, the present inventors utilized a Tomato oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?lPage=50879]. The array oligonucleotide represents about 44,000 Tomato genes and transcripts. In order to define correlations between the levels of RNA expression with NUE, ABST, yield components or vigor related parameters various plant characteristics of 18 different Tomato varieties were analyzed. Among them, 10 varieties encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Correlation of Tomato Varieties Across Ecotypes Grown Under Low Nitrogen, Drought and Regular Growth Conditions

Experimental Procedures

10 Tomato varieties were grown in 3 repetitive blocks, each containing 6 plants per plot were grown at net house. Briefly, the growing protocol was as follows:

• 1. Regular growth conditions: Tomato varieties were grown under normal conditions (4-6 Liters/m² of water per day and fertilized with NPK as recommended in protocols for commercial tomato production).
• 2. Low Nitrogen fertilization conditions: Tomato varieties were grown under normal conditions (4-6 Liters/m² per day and fertilized with NPK as recommended in protocols for commercial tomato production) until flower stage. At this time, Nitrogen fertilization was stopped.
• 3. Drought stress: Tomato variety was grown under normal conditions (4-6 Liters/m² per day) until flower stage. At this time, irrigation was reduced to 50% compared to normal conditions.

Plants were phenotyped on a daily basis following the standard descriptor of tomato (Table 63). Harvest was conducted while 50% of the fruits were red (mature). Plants were separated to the vegetative part and fruits, of them, 2 nodes were analyzed for additional inflorescent parameters such as size, number of flowers, and inflorescent weight. Fresh weight of all vegetative material was measured. Fruits were separated to colors (red vs. green) and in accordance with the fruit size (small, medium and large). Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute). Data parameters collected are summarized in Tables 64-70, hereinbelow.

Analyzed Tomato tissues - Two tissues at different developmental stages [flower and leaf], representing different plant characteristics, were sampled and RNA was extracted as described above. For convenience, each micro-array expression information tissue type has received a Set ID as summarized in Table 62 below.

Tomato transcriptom expression sets
Set ID Expression Set
1      Tomato field/NUE/leaf
2      Tomato field/NUE/flower
3      Tomato field/Drought/leaf
4      Tomato field/Normal/leaf
5      Tomato field/Normal/flower
6      Tomato field/Drought/flower
7      Tomato field Drought leaf
8      Tomato field Drought flower
9      Tomato field NUE leaf
10     Tomato field NUE flower
11     Tomato field Normal leaf
12     Tomato field Normal flower
Table 62: Provided are the identification (ID) letters of each of the tomato expression sets.

Table 63 provides the tomato correlated parameters (Vectors). The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 64-70 below. Subsequent correlation analysis was conducted (Table 71). Results were integrated to the database.

Tomato correlated parameters (vectors)
Correlated parameter with        Correlation ID
100 weight green fruit (Drought) [kg] 1
100 weight green fruit (Low N) [kg] 2
100 weight green fruit (Normal) [kg] 3
100 weight red fruit (Drought) [kg] 4
100 weight red fruit (Low N) [kg] 5
100 weight red fruit (Normal) [kg] 6
Cluster Weight NUE/Normal [kg]   7
FW NUE/Normal [gr.]              8
FW drought/Normal [gr.]          9
FW/Plant (NUE) [gr.]             10
FW/Plant (Normal) [gr.]          11
FW/Plant Drought [gr.]           12
Fruit Drought/NUE [gr.]          13
Fruit NUE/Normal [gr.]           14
Fruit Yield Drought/Normal [gr.] 15
Fruit Yield/Plant (NUE) [gr.]    16
Fruit Yield/Plant Drought [gr.]  17
Fruit yield /Plant (Normal) [gr.] 18
HI [yield/yield+biomass] (Low N) 19
HI [yield/yield+biomass] (Normal) 20
Leaflet Length [cm] (Low N) [cm] 21
Leaflet Length [cm] (Normal) [cm] 22
Leaflet Length [cm]) (Drought) [cm] 23
Leaflet Width (Low N) [cm]       24
Leaflet Width (Normal) [cm]      25
Leaflet Width [cm] (Drought) [cm] 26
NUE [yield/SPAD] (Low N)         27
NUE [yield/SPAD] (Normal)        28
NUE2 [total biomass/SPAD] (Low N) 29
NUE2 [total biomass/SPAD] (Normal) 30
NUpE [biomass/SPAD] (Low N)      31
NUpE [biomass/SPAD] (Normal)     32
No flowers (NUE)                 33
No flowers (Normal)              34
Num of Flower Drought/NUE        35
Num of Flower Drought/Normal     36
Num of flowers (Drought)         37
Num. Flowers NUE/Normal          38
RWC (Normal) [%]                 39
RWC Drought [%]                  40
RWC Drought/Normal [%]           41
RWC NUE [%]                      42
RWC NUE/Normal [%]               43
SAPD 100% RWC NUE/Normal [SPAD unit] 44
SLA [leaf area/plant biomass] (Low N) 45
SLA [leaf area/plant biomass] (Normal) 46
SPAD (Normal) [SPAD unit]        47
SPAD 100% RWC (NUE) [SPAD unit]  48
SPAD 100% RWC (Normal) [SPAD unit] 49
SPAD NUE [SPAD unit]             50
SPAD NUE/Normal [SPAD unit]      51
Total Leaf Area [cm^2] (Low N)   52
Total Leaf Area [cm^2] (Normal)  53
Total Leaf Area [cm^2]) (Drought) 54
Weight Flower clusters (Normal) [gr.] 55
Weight clusters (flowers) (NUE) [gr.] 56
Weight flower clusters (Drought) [gr.] 57
Yield/SLA (Low N)                58
Yield/SLA (Normal)               59
Yield/total leaf area (Low N)    60
Yield/total leaf area (Normal)   61
average red fruit weight (NUE) [gr.] 62
average red fruit weight (Normal) [gr.] 63
average red fruit weight Drought [gr.] 64
flower cluster weight Drought/NUE [gr.] 65
flower cluster weight Drought/Normal [gr.] 66
red fruit weight Drought/Normal [gr.] 67
Table 63. Provided are the tomato correlated parameters. “gr.” = grams; “FW” = fresh weight; “NUE” = nitrogen use efficiency; “RWC” = relative water content; “NUpE” = nitrogen uptake efficiency; “SPAD” = chlorophyll levels; “HI” = harvest index (vegetative weight divided on yield); “SLA” = specific leaf area (leaf area divided by leaf dry weight).

Fruit Yield (grams) - At the end of the experiment [when 50% of the fruit were ripe (red)] all fruits from plots within blocks A-C were collected. The total fruits were counted and weighted. The average fruits weight was calculated by dividing the total fruit weight by the number of fruits.

Yield/SLA and Yield/total leaf area - Fruit yield divided by the specific leaf area or the total leaf area gives a measurement of the balance between reproductive and vegetative processes.

Plant Fresh Weight (grams) - At the end of the experiment [when 50% of the fruit were ripe (red)] all plants from plots within blocks A-C were collected. Fresh weight was measured (grams).

Inflorescence Weight (grams) - At the end of the experiment [when 50% of the fruits were ripe (red)] two inflorescence from plots within blocks A-C were collected. The inflorescence weight (gr.) and number of flowers per inflorescence were counted.

SPAD - Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.

Water use efficiency (WUE) - can be determined as the biomass produced per unit transpiration. To analyze WUE, leaf relative water content was measured in control and transgenic plants. Fresh weight (FW) was immediately recorded; then leaves were soaked for 8 hours in distilled water at room temperature in the dark, and the turgid weight (TW) was recorded. Total dry weight (DW) was recorded after drying the leaves at 60° C. to a constant weight. Relative water content (RWC) was calculated according to the following Formula I [(FW - DW/TW - DW) x 100] as described above.

Plants that maintain high relative water content (RWC) compared to control lines were considered more tolerant to drought than those exhibiting reduced relative water content.

Experimental Results

Measured parameters in Tomato accessions under drought conditions
line ID/Co r. ID	9	12	13	15	17	35	36	37	40	41	57	64
Line-1	1.717	2.620	1.151	0.565	0.467	0.877	2.941	16.667	72.120	0.990	0.368	0.009
Line-2	0.344	1.092	0.732	1.415	0.483	1.219	0.336	6.500	74.510	0.974	0.407	0.195
Line-3	0.611	1.847	1.321	1.274	0.629	1.741	2.474	15.667	65.330	1.016	0.325	0.209
Line-4	2.630	2.221	0.756	2.876	0.347	1.564	2.652	20.333	72.220	1.077	0.288	0.005
Line-5	1.177	2.634	1.513	4.201	2.044	1.094	1.207	11.67	66.30	1.207	0.551	0.102
Line-6	1.365	2.708	0.705	0.550	0.250	1.520	3.040	25.333	68.330	0.880	0.311	0.002
Line-7	4.018	3.406	5.063	0.085	0.045	4.956	5.947	29.733	78.130	1.343	0.445	0.035
Line-8	1.010	2.108	0.891	1.030	0.453	1.083	2.080	17.333	18.460	0.278	0.555	0.006
Line-9	0.608	1.948	0.671	1.392	0.292	0.978	1.467	14.667	73.210	1.131	0.304	0.005
Line-10	0.640	1.763	2.171	3.280	1.017	4.944	4.238	29.667	62.500	0.831	0.315	0.005
Line-11	0.950	1.721	0.377	0.906	0.600	0.882	1.667	15.000	67.210	1.015	0.308	0.005
Line-12	0.510	1.923	1.273	2.618	0.494	0.795	1.292	10.333	75.760	1.199	0.311	0.012
Line-13	1.168	2.206	0.842	0.319	0.272	2.115	3.438	18.33	62.820	1.107	8.360	0.005
Line-14	0.938	3.731	0.512	2.484	0.679	1.286	1.500	12.000	70.690	1.966	0.288	0.006
Line-15	0.352	0.754	0.984	0.405	0.140	1.605	2.652	20.333	55.750	0.718	0.342	0.303
Line-16	1.063	1.757	1.337	1.619	0.529	1.900	1.407	12.667	75.220	0.752	0.441	0.138
Line-17	0.208	0.626	0.384	1.763	0.554	1.357	1.188	12.667	63.680	1.008	0.268	0.040
Line-18	0.483	1.109	0.837	1.424	0.414	1.417	1.29	11.333	62.310	0.829	0.426	0.089
Table 64: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (line ID) under drought growth conditions. Growth conditions are specified in the experimental procedure section.

Additional Measured parameters in Tomato accessions under drought conditions
line ID/Cor. ID	65	66	67	1	4	23	26	54
Line-1	0.689	0.315	0.193
Line-2	1.110	1.190	24.373
Line-3	1.060	0.469	25.384
Line-4	0.823	0.005	0.016
Line-5	1.163	1.252	20.259
Line-6	1.250	0.028	0.036
Line-7	1.517	0.563	0.150
Line-8	1.190	0.963	0.022
Line-9	0.759	0.416	0.863
Line-10	1.039	0.378	0.737
Line-11	0.376	0.358	0.090
Line-12	0.778	0.622	1.715	0.8	0.88667	5.1504	2.55142	337.63
Line-13	24.115	8.196	0.171	0.28	0.34667	3.38139	2.04437	130.779
Line-14	0.673	0.411	0.024	0.38	0.62667	7.13977	4.16522	557.927
Line-15	0.967	0.907	10.501	0.63333	2.27	5.47615	3.08653	176.671
Line-16	0.988	0.669	27.890	2.86	7.4	8.62307	4.69436	791.863
Line-17	0.949	0.383	11.789	1.16	2.94	6.34602	3.86722	517.049
Line-18	0.907	1.305	9.979	4.39667	11.6	6.77153	2.9104	832.265
Table 65: Provided are the values of each of the parameters (as described above) measured in Tomato accessions (line ID) under drought conditions. Growth conditions are specified in the experimental procedure section.

Measured parameters in Tomato accessions under low nitrogen conditions
line ID/Cor. ID	7	8	10	14	16	33	38	42	43	44	48
Line-1	0.457	2.649	4.041	0.491	0.406	19.000	3.353	74.070	1.017	0.787	28.469
Line-2	1.072	0.382	1.213	1.932	0.660	5.333	0.276	99.080	1.296	1.372	39.039
Line-3	0.442	0.743	2.246	0.965	0.477	9.000	1.421	69.490	1.081	0.920	33.009
Line-4	0.006	3.008	2.540	3.802	0.458	13.000	1.696	63.240	0.943	0.753	23.418
Line-5	1.076	0.827	1.850	2.776	1.351	10.667	1.103	77.360	1.412	1.309	34.528
Line-6	0.022	1.544	3.063	0.780	0.354	16.667	2.000	77.910	1.004	0.965	32.513
Line-7	0.371	3.697	3.134	0.017	0.009	6.000	1.200	80.490	1.383	1.107	27.661
Line-8	0.809	1.218	2.542	1.157	0.509	16.000	1.920	67.400	1.013	0.949	33.676
Line-9	0.548	0.575	1.844	2.074	0.436	15.000	1.500	67.160	1.038	0.793	30.045
Line-10	0.364	0.551	1.517	1.511	0.468	6.000	0.857	66.070	0.878	0.924	35.502
Line-11	0.953	1.056	1.913	2.406	1.593	17.000	1.889	69.570	1.050	0.937	24.812
Line-12	0.800	0.492	1.856	2.056	0.388	13.000	1.625	69.300	1.096	1.356	40.771
Line-13	0.340	1.310	2.472	0.379	0.323	8.667	1.625	100.000	1.761	1.443	47.467
Line-14	0.611	1.361	2.621	1.642	0.449	9.333	1.167	57.660	1.603	1.502	26.064
Line-15	0.938	0.506	1.084	0.412	0.143	12.667	1.652	90.790	1.170	1.046	35.378
Line-16	0.677	0.705	1.166	1.211	0.396	6.667	0.741	68.000	0.680	0.562	30.600
Line-17	0.404	0.306	0.921	4.587	1.442	9.333	0.875	59.650	0.944	1.484	38.971
Line-18	1.439	0.474	1.088	1.700	0.495	8.000	0.889	72.170	0.961	0.843	37.456
Table 66: Provided are the values of each of the parameters (as described above) measured in Tomato accessions (Seed ID) under low nitrogen growth conditions. Growth conditions are specified in the experimental procedure section.

Additional measured parameters in Tomato accessions under low nitrogen conditions
line ID/Co r. ID	50	51	56	62	2	19	21	24	27	29	31
Line-1	38.400	0.773	0.533	0.024	0.87	0.0912	6.39865	3.46688	0.01425	0.15619	0.14195
Line-2	39.400	1.059	0.367	0.191	3.66333	0.35231	5.92027	1.97373	0.01691	0.04799	0.03108
Line-3	47.500	0.851	0.307	0.006	0.56667	0.1751	3.68636	1.78501	0.01444	0.08247	0.06803
Line-4	37.000	0.797	0.50	0.005	0.37	0.15286	5.42713	2.55198	0.01957	0.12803	0.10846
Line-5	44.600	0.925	0.473	0.096	3.40333	0.42208	6.95119	3.51776	0.03913	0.09271	0.05358
Line-6	41.700	0.961	0.249	0.004	0.68333	0.10371	3.73374	1.73101	0.0109	0.10512	0.09422
Line-7	34.400	0.802	0.293	0.006	0.45333	0.00283	4.38515	1.87221	0.00032	0.11364	0.11332
Line-8	50.000	0.938	0.467	0.007	0.47333	0.16679	6.72386	3.54186	0.01511	0.0906	0.07549
Line-9	44.700	0.764	0.400	0.006	0.54	0.19103	6.65657	3.27815	0.0145	0.07589	0.06139
Line-10	53.700	1.051	0.303	0.013	0.39333	0.23594	4.38654	2.5225	0.01319	0.05591	0.04272
Line-11	35.700	0.893	0.820	0.021	0.97	0.45446	3.90107	2.60788	0.06422	0.1413	0.07709
Line-12	58.800	1.235	0.400	0.005	0.91333	0.17306	5.29057	2.61233	0.00952	0.05504	0.04551
Line-13	47.500	0.820	0.347	0.006	0.36333	0.11548	6.31683	3.57772	0.0068	0.05888	0.05208
Line-14	45.200	0.936	0.428	0.047	0.34667	0.14622	5.1126	2.5642	0.01722	0.11779	0.1005
Line-15	39.000	0.894	0.353	0.357	0.56667	0.11634	4.72494	2.48302	0.00404	0.03469	0.03065
Line-16	45.000	0.826	0.447	0.037	4.38333	0.25338	6.83245	3.43048	0.01293	0.05102	0.03809
Line-17	65.300	1.570	0.283	0.626	2.02	0.61025	7.09701	3.29874	0.03701	0.06064	0.02364
Line-18	51.900	0.878	0.470	-	8.13	0.31274	8.21338	3.68939	0.01322	0.04226	0.02904
Table 67: Provided are the values of each of the parameters (as described above) measured in Tomato accessions (Seed ID) under low nitrogen growth conditions. Growth conditions are specified in the experimental procedure section.

Additional measured parameters in Tomato accessions under low nitrogen conditions
line ID/Cor. ID	45	52	58	60	5
Line-1	140.044	565.932	0.0029	0.00072	1.06
Line-2	317.118	384.77	0.00208	0.00172	6.86667
Line-3	131.293	294.827	0.00363	0.00162	0.64667
Line-4	148.817	377.995	0.00308	0.00121	0.53
Line-5	257.51	476.393	0.00525	0.00284	7.17333
Line-6	64.3367	197.085	0.00551	0.0018	0.44
Line-7	144.599	453.236	6.1E-05	2E-05
Line-8	246.05	625.515	0.00207	0.00081	0.55333
Line-9	405.548	748.01	0.00107	0.00058	0.74667
Line-10	299.316	453.962	0.00156	0.00103	0.58
Line-11	86.1901	164.853	0.01849	0.00967	1.26667
Line-12	182.319	338.303	0.00213	0.00115	1.34
Line-13	160.178	395.995	0.00202	0.00082	0.52
Line-14	90.0951	236.149	0.00498	0.0019	0.57333
Line-15	160.99	174.585	0.00089	0.00082	0.94333
Line-16	379.028	441.778	0.00104	0.0009	6.17
Line-17	531.079	489.183	0.00272	0.00295	3.67333
Line-18	650.684	707.8	0.00076	0.0007	11.325
Table 68: Provided are the values of each of the parameters (as described above) measured in Tomato accessions (Seed ID) under low nitrogen growth conditions. Growth conditions are specified in the experimental procedure section.

Measured parameters in Tomato accessions under normal conditions
line ID/Cor. ID	11	18	34	39	47	49	55	63	20	28
Line-1	1.526	0.826	5.667	72.830	49.700	36.170	1.167	0.048	0.351	0.017
Line-2	3.174	0.342	19.333	76.470	37.200	28.447	0.342	0.008	0.097	0.009
Line-3	3.022	0.494	6.333	64.290	55.800	35.893	0.693	0.008	0.140	0.009
Line-4	0.844	0.121	7.667	67.070	46.400	31.085	56.348	0.286	0.125	0.003
Line-5	2.238	0.487	9.667	54.790	48.200	26.384	0.440	0.005	0.179	0.010
Line-6	1.984	0.454	8.333	77.610	43.400	33.684	11.313	0.054	0.186	0.010
Line-7	0.848	0.529	5.000	58.180	42.900	24.979	0.790	0.231	0.384	0.012
Line-8	2.088	0.440	8.333	66.510	53.300	35.472	0.577	0.290	0.174	0.008
Line-9	3.206	0.210	10.000	64.710	58.500	37.875	0.730	0.006	0.061	0.004
Line-10	2.754	0.310	7.000	75.250	51.100	38.426	0.833	0.007	0.101	0.006
Line-11	1.811	0.662	9.000	66.230	40.000	26.494	0.860	0.058	0.268	0.017
Line-12	3.770	0.189	8.000	63.210	47.600	30.066	0.500	0.007	0.048	0.004
Line-13	1.88	0.852	5.333	56.770	57.900	32.889	1.020	0.026	0.311	0.015
Line-14	1.926	0.273	8.000	35.960	48.300	17.354	0.700	0.261	0.124	0.006
Line-15	2.143	0.347	7.667	77.620	43.600	33.818	0.377	0.029	0.139	0.008
Line-16	1.652	0.327	9.000	100.000	54.500	54.467	0.660	0.005	0.165	0.006
Line-17	3.011	0.314	10.667	63.160	41.600	26.253	0.700	0.003	0.095	0.008
Line-18	2.294	0.291	9.000	75.130	59.100	44.427	0.327	0.009	0.113	0.005
Table 69: Provided are the values of each of the parameters (as described above) measured in Tomato accessions (lined ID) under normal growth conditions. Growth conditions are specified in the experimental procedure section.

Additional measured parameters in Tomato accessions under normal conditions
line ID/Cor. ID	30	32	3	6	22	25	46	53	59	61
Line-1	0.047	0.031
Line-2	0.095	0.085
Line-3	0.063	0.054	0.55667	0.82333	6.34284	3.69046	140.989	426.099	0.0035	0.00116
Line-4	0.021	0.018	3.05333	2.45667	7.98803	4.76756	689.665	582.384	0.00017	0.00021
Line-5	0.057	0.046	0.24	0.50333	5.59331	3.43357	130.22	291.403	0.00374	0.00167
Line-6	0.056	0.046	2.57667	2.76	7.69722	4.56061	299.118	593.583	0.00152	0.00077
Line-7	0.032	0.020	6.32333	5.31667	7.84568	4.43534	1117.74	947.594	0.00047	0.00056
Line-8	0.047	0.039	5.75333	5.24	6.21698	3.15039	111.77	233.352	0.00394	0.00189
Line-9	0.058	0.055	0.37667	0.61	6.1597	3.36888	106.294	340.731	0.00198	0.00062
Line-10	0.060	0.054	0.29667	0.66	5.65211	3.13112	123.139	339.111	0.00252	0.00091
Line-11	0.062	0.045	1.95333	2.70333	4.39488	2.39632	104.986	190.141	0.00631	0.00348
Line-12	0.083	0.079	2.53333	0.7	4.44138	2.02436	111.88	421.789	0.00169	0.00045
Line-13	0.047	0.033	1.42333	2.64	6.7696	3.8002	307.946	581.334	0.00277	0.00147
Line-14	0.046	0.040	2.03	4.67	7.41586	3.7433	419.365	807.511	0.00065	0.00034
Line-15	0.057	0.049	1.385	2.16667	6.70898	2.97523	365.812	784.056	0.00095	0.00044
Line-16	0.036	0.030	2.27	0.49333	5.86525	3.21956	212.926	351.801	0.00153	0.00093
Line-17	0.080	0.072	0.45	0.34333	4.16	2.08898	84.9441	255.776	0.0037	0.00123
Line-18	0.044	0.039	0.41667	0.75333	10.2902	5.91228	469.874	1078.1	0.00062	0.00027
Table 70: Provided are the values of each of the parameters (as described above) measured in Tomato accessions (line ID) under normal growth conditions. Growth conditions are specified in the experimental procedure section.

Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal and stress conditions across tomato ecotypes
Gene Name	R	P value	Exp. set	Cor. Set ID	Gene Name	R	P value	Exp. set	Cor. Set ID
LNU971	0.830	5.67E-03	11	32	LNU971	0.836	5.02E-03	11	30
LNU971	0.730	1.66E-02	10	52	LNU971	0.986	1.83E-07	1	55
LNU972	0.787	1.18E-02	11	20	LNU972	0.802	9.36E-03	11	28
LNU972	0.782	2.19E-02	12	59	LNU972	0.783	2.15E-02	12	61
LNU973	0.793	6.26E-03	3	43	LNU973	0.773	2.44E-02	12	3
LNU973	0.825	3.31E-03	2	49	LNU974	0.700	2.41E-02	10	52
LNU975	0.739	1.45E-02	3	51	LNU975	0.857	3.15E-03	3	62
LNU975	0.927	1.12E-04	1	55	LNU975	0.825	3.30E-03	1	63
Table 71. Provided are the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector (Cor))] under normal and low nitrogen conditions across tomato ecotypes. P = p value.

Correlation of early vigor traits across collection of Tomato ecotypes under Low nitrogen, 300 mM NaCl, and normal growth conditions - Ten tomato hybrids were grown in 3 repetitive plots, each containing 17 plants, at a net house under semi-hydroponics conditions. Briefly, the growing protocol was as follows: Tomato seeds were sown in trays filled with a mix of vermiculite and peat in a 1:1 ratio. Following germination, the trays were transferred to the high salinity solution (300 mM NaCl in addition to the Full Hoagland solution), low nitrogen (“low N”) solution (the amount of total nitrogen was reduced in 90% from the full Hoagland solution, final amount of 0.8 mM N), or at Normal growth solution (Full Hoagland containing 8 mM N solution, grown at 28 ± 2° C.). Plants were grown at 28 ± 2° C.

Full Hoagland solution consists of: KNO₃ - 0.808 grams/liter, MgSO₄ - 0.12 grams/liter, KH₂PO₄ - 0.172 grams/liter and 0.01% (volume/volume) of ‘Super coratin’ micro elements (Iron-EDDHA [ethylenediamine-N,N′-bis(2-hydroxyphenylacetic acid)]- 40.5 grams/liter; Mn - 20.2 grams/liter; Zn 10.1 grams/liter; Co 1.5 grams/liter; and Mo 1.1 grams/liter), solution’s pH should be 6.5 - 6.8.

Analyzed tomato tissues - All 10 selected Tomato varieties were sample per each treatment. Three tissues [leaves, meristems and flowers] were sampled and RNA was extracted as described above. For convenience, each micro-array expression information tissue type has received a Set ID as summarized in Table 72 below.

Tomato transcriptom experimental sets
Set ID Expression Set
1      Normal/leaf
2      Normal/root
3      Low N/leaf
4      Low N /root
5      Salinity/leaf
6      Salinity/root
7      Low N /root
8      Low N /leaf
9      Normal/root
10     Normal/leaf
11     Salinity/root
12     Salinity/leaf
Table 72. Provided are the tomato transcriptom experimental sets.

Tomato vigor related parameters - following 5 weeks of growing, plant were harvested and analyzed for Leaf number, plant height, chlorophyll levels (SPAD units), different indices of nitrogen use efficiency (NUE) and plant biomass. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute). Data parameters collected are summarized in Table 73, herein below.

Tomato correlated parameters (vectors)
Correlation ID Correlated parameter with
1              Leaf No. Low N/Normal [number]
2              Leaf No. NaCl/Normal [number]
3              Leaf No. NaCl/Low N [number]
4              N level/Leaf [spad unit/leaf]
5              NUE roots (Root Biomass [DW] /SPAD)
6              NUE shoots (shoot Biomass [DW] /SPAD)
7              NUE total biomass (Total Biomass [DW] /SPAD)
8              Percent Root Biomass reduction compared to normal [%]
9              Percent Shoot Biomass reduction compared to normal[%]
10             Plant Height Low N/Normal [cm]
11             Plant Height NaCl/Low N [cm]
12             Plant Height NaCl/Normal [cm]
13             Plant biomass NaCl [cm]
14             Plant height Low N [cm]
15             Plant height NaCl [cm]
16             Plant height Normal [cm]
17             Root Biomass[DW] /SPAD
18             SPAD Low N/Normal [SPAD unit]
19             SPAD Low N [SPAD unit]
20             SPAD Normal [SPAD unit]
21             Shoot Biomass [DW] /SPAD
22             Shoot/Root
23             Total Biomass [Root+Shoot DW] /SPAD
24             height Normal
25             leaf No. Low N
26             leaf No. Normal
27             leaf No. NaCl
Table 73. Provided are the tomato correlated parameters,. “DW” = dry weight; “cm” = centimeter. “Leaf No.” = leaf number.

Experimental Results

10 different Tomato varieties were grown and characterized for parameters as described above. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 74-77 below. Subsequent correlation analysis was conducted (Table 78). Follow, results were integrated to the database.

Measured parameters in Tomato accessions under low nitrogen conditions
Cor. ID/Line	1	10	14	18	19	24	25	4	5
Line-1	0.850	0.810	36.780	1.010	34.570	45.330	5.560	10.854	6.990
Line-2	0.900	0.830	39.890	0.980	24.870	47.780	6.220	11.409	2.540
Line-3	0.980	0.840	34.440	1.020	28.580	40.780	7.220
Line-4	1.090	0.850	47.000	1.000	31.580	55.330	6.780	10.438	7.040
Line-5	0.880	0.830	46.440	0.980	29.720	56.220	5.560	11.169	5.040
Line-6	1.020	0.930	45.440	0.980	31.830	48.670	6.560	8.929	8.010
Line-7	0.870	0.850	47.670	0.930	30.330	55.780	5.110	7.926	15.090
Line-8	1.060	1.050	39.330	1.050	30.290	37.440	5.890	7.993	9.020
Line-9	0.910	0.840	41.780	1.010	31.320	49.560	5.560	10.304	8.780
Line-10	1.120	0.880	41.000	0.990	28.770	46.330	6.330	8.585	7.250
Line-11								11.528	7.730
Line-12								14.491	15.940
Table 74. Provided are the values of each of the parameters (as described above) measured in Tomato accessions (Line) under low nitrogen growth conditions. Growth conditions are specified in the experimental procedure section.

Additional measured parameters in Tomato accessions under low nitrogen conditions
Cor. ID/Line	6	7	8	9	17	21	22	23
Line-1	35.350	58.470	62.592	75.380	0.001	0.004	5.010	0.005
Line-2	24.090	63.750	54.158	55.112	0.000	0.003	11.393	0.003
Line-3
Line-4	65.020	69.290	70.547	49.726	0.001	0.007	9.494	0.008
Line-5	46.710	71.100	59.685	63.189	0.001	0.005	11.600	0.005
Line-6	46.670	60.540	96.129	82.667	0.001	0.005	8.200	0.006
Line-7	120.070	73.900	106.502	66.924	0.001	0.011	10.375	0.013
Line-8	60.090	68.810	111.905	107.983	0.001	0.007	10.523	0.008
Line-9	66.270	66.740	81.644	55.401	0.001	0.007	8.242	0.008
Line-10	56.460	70.820	32.214	54.433	0.001	0.007	7.967	0.008
Line-11	38.350	69.700	143.714	62.155	0.001	0.004	6.414	0.005
Line-12	60.320	49.720	87.471	59.746	0.001	0.006	3.909	0.007
Table 75. Provided are the values of each of the parameters (as described above) measured in Tomato accessions (Line) under low nitrogen growth conditions. Growth conditions are specified in the experimental procedure section.

Measured parameters in Tomato accessions under normal conditions
Corr. ID/Line	16	20	26	4	5	6	7	17	21	22	23
Line-1	45.330	34.300	6.560	9.293	1.120	4.690	7.470	0.001	0.005	5.400	0.006
Line-2	47.780	25.310	6.890	8.868	0.470	4.370	8.630	0.001	0.005	10.021	0.006
Line-3	40.780	28.120	7.330
Line-4	55.330	31.430	6.220	8.433	1.000	13.080	8.850	0.001	0.014	15.417	0.015
Line-5	56.220	30.240	6.330	9.827	0.840	7.390	7.220	0.001	0.008	8.833	0.009
Line-6	48.670	32.430	6.440	8.573	0.830	5.650	7.870	0.001	0.005	7.519	0.006
Line-7	55.780	32.580	5.890	6.567	0.940	17.940	9.090	0.001	0.017	12.611	0.019
Line-8	37.440	28.770	5.560	6.968	0.810	5.50	7.910	0.001	0.007	7.989	0.008
Line-9	49.560	30.920	6.110	8.710	1.080	11.960	8.550	0.001	0.011	14.306	0.012
Line-10	46.330	28.990	5.670	7.348	2.250	10.370	8.680	0.003	0.012	4.797	0.014
Line-11				10.181	0.540	6.170	9.100	0.001	0.006		0.007
Line-12				9.370	1.820	10.100	6.240	0.002	0.009		0.011
Table 76. Provided are the values of each of the parameters (as described above) measured in Tomato accessions (Line) under normal growth conditions. Growth conditions are specified in the experimental procedure section.

Measured parameters in Tomato accessions under salinity conditions
Cor. ID/Line	2	3	11	12	13	15	27	4	21	17	23
Line-1	0.50	0.640	0.150	0.120	0.360	5.600	3.560	11.400	0.001	0.000	0.001
Line-2	0.570	0.630	0.160	0.140	0.440	6.460	3.940	11.639	0.001	0.000	0.001
Line-3	0.680	0.690	0.250	0.210	0.260	8.470	5.000
Line-4	0.640	0.590	0.180	0.150	0.710	8.560	4.000	10.788	0.001	0.000	0.001
Line-5	0.560	0.640	0.190	0.160	0.460	8.870	3.560	10.776	0.002	0.000	0.002
Line-6	0.680	0.670	0.170	0.160	0.540	7.560	4.390	6.952	0.001	0.000	0.001
Line-7	0.540	0.620	0.180	0.150	0.660	8.640	3.170	9.213	0.001	0.000	0.001
Line-8	0.670	0.630	0.140	0.150	0.400	5.570	3.720	8.538	0.001	0.000	0.001
Line-9	0.650	0.720	0.140	0.120	0.520	5.820	4.000	10.370	0.001	0.000	0.001
Line-10	0.750	0.680	0.230	0.200	0.450	9.360	4.280	8.840	0.001
Line-11								10.434	0.001	0.000	0.001
Line-12								12.429	0.001	0.000	0.001
Table 77. Provided are the values of each of the parameters (as described above) measured in Tomato accessions (Line) under salinity growth conditions. Growth conditions are specified in the experimental procedure section.

Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal and stress conditions across tomato ecotypes
Gene Name	R	P value	Exp. set	Cor. Set ID	Gene Name	R	P value	Exp. set	Cor. Set ID
LNU971	0.729	4.01E-02	4	10	LNU971	0.878	1.86E-03	4	9
LNU971	0.845	4.12E-03	6	21	LNU971	0.786	2.07E-02	6	23
LNU971	0.736	2.38E-02	3	8	LNU971	0.736	2.39E-02	8	8
LNU972	0.843	4.32E-03	6	21	LNU972	0.798	1.76E-02	6	23
LNU972	0.817	7.24E-03	3	8	LNU973	0.808	1.52E-02	3	10
LNU973	0.716	2.99E-02	3	9	LNU974	0.738	3.65E-02	1	20
LNU974	0.724	2.73E-02	4	4	LNU974	0.757	2.97E-02	4	1
LNU974	0.730	2.56E-02	3	8	LNU974	0.715	3.05E-02	7	4
LNU974	0.737	2.34E-02	8	8	LNU975	0.729	2.57E-02	9	4
LNU975	0.773	1.45E-02	4	4	LNU975	0.736	2.36E-02	3	8
LNU975	0.729	2.58E-02	2	4	LNU975	0.839	9.17E-03	2	26
LNU975	0.778	1.36E-02	7	4
Table 78. Provided are the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector (Corr))] under normal and low nitrogen conditions across tomato ecotypes. P = p value.

Example 10

Production of Maize Transcriptom and High Throughput Correlation Analysis When Grown Under Normal And Defoliation Conditions Using 60K Maize Oligonucleotide Micro-Array

To produce a high throughput correlation analysis, the present inventors utilized a Maize oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?lPage=50879]. The array oligonucleotide represents about 60K Maize genes and transcripts designed based on data from Public databases (Example 1). To define correlations between the levels of RNA expression and yield, biomass components or vigor related parameters, various plant characteristics of 13 different Maize varieties were analyzed under normal conditions and defoliation treatment. Same varieties were subjected to RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Experimental Procedures

13 maize varieties lines were grown in 6 repetitive plots, in field. Maize seeds were planted and plants were grown in the field using commercial fertilization and irrigation protocols. After silking 3 plots in every varieties line underwent the defoliation treatment. In this treatment all the leaves above the ear were removed. After the treatment all the plants were grown according to the same commercial fertilization and irrigation protocols.

Three tissues at flowering developmental (R1) stage including leaf (flowering -R1), stem (flowering -R1), and flowering meristem (flowering -R1) representing different plant characteristics, were sampled from treated and untreated plants. RNA was extracted as described in “GENERAL EXPERIMENTAL AND BIOINFORMATICS METHODS”. For convenience, each micro-array expression information tissue type has received a Set ID as summarized in Tables 79-80 below.

Tissues used for Maize transcriptom expression sets (Under normal conditions)
Expression Set         Set ID
Female meristem/Normal 1
leaf/Normal            2
stem/Normal            3
Table 79: Provided are the identification (ID) number of each of the Maize expression sets.

Tissues used for Maize transcriptom expression sets (Under defoliation conditions)
Expression Set               Set ID
Female meristem/Defoliation: 1
leaf/Defoliation             2
stem/Defoliation             3
Table 80: Provided are the identification (ID) number of each of the Maize expression sets.

The following parameters were collected by imaging.

The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program - ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888x2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

1000 grain weight - At the end of the experiment all seeds from all plots were collected and weighedand the weight of 1000 was calculated.

Ear Area (cm²)- At the end of the growing period 5 ears were, photographed and images were processed using the below described image processing system. The Ear area was measured from those images and was divided by the number of ears.

Ear Length and Ear Width (cm) - At the end of the growing period 6 ears were, photographed and images were processed using the below described image processing system. The Ear length and width (longest axis) was measured from those images and was divided by the number of ears.

Grain Area (cm²) - At the end of the growing period the grains were separated from the ear. A sample of ~200 grains were weight, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Grain Length and Grain width (cm) - At the end of the growing period the grains were separated from the ear. A sample of ~200 grains were weight, photographed and images were processed using the below described image processing system. The sum of grain lengths /or width (longest axis) was measured from those images and was divided by the number of grains.

Grain Perimeter (cm) - At the end of the growing period the grains were separated from the ear. A sample of ~200 grains were weight, photographed and images were processed using the below described image processing system. The sum of grain perimeter was measured from those images and was divided by the number of grains.

Ear filled grain area (cm²) - At the end of the growing period 5 ears were, photographed and images were processed using the below described image processing system. The Ear area filled with kernels was measured from those images and was divided by the number of Ears.

Filled per Whole Ear - was calculated as the length of the ear with grains out of the total ear.

Additional parameters were collected either by sampling 6 plants per plot or by measuring the parameter across all the plants within the plot.

Cob width [cm] - The diameter of the cob without grains was measured using a ruler.

Ear average weight [kg] - At the end of the experiment (when ears were harvested) total and 6 selected ears per plots were collected. The ears were weighted and the average ear per plant was calculated. The ear weight was normalized using the relative humidity to be 0%.

Plant height and Ear height - Plants were characterized for height at harvesting. In each measure, 6 plants were measured for their height using a measuring tape. Height was measured from ground level to top of the plant below the tassel. Ear height was measured from the ground level to the place were the main ear is located

Ear row num - The number of rows per ear was counted.

Ear fresh weight per plant (GF)- During the grain filling period (GF) and total and 6 selected ears per plot were collected separately. The ears were weighted and the average ear weight per plant was calculated.

Ears dry weight -At the end of the experiment (when ears were harvested) total and 6 selected ears per plots were collected and weighted. The ear weight was normalized using the relative humidity to be 0%.

Ears fresh weight -At the end of the experiment (when ears were harvested) total and 6 selected ears per plots were collected and weighted.

Ears per plant-number of ears per plant were counted.

Grains weight (Kg.) - At the end of the experiment all ears were collected. Ears from 6 plants from each plot were separately threshed and grains were weighted.

Grains dry weight (Kg.) - At the end of the experiment all ears were collected. Ears from 6 plants from each plot were separately threshed and grains were weighted. The grain weight was normalized using the relative humidity to be 0%.

Grain weight per ear (Kg.) - At the end of the experiment all ears were collected. 5 ears from each plot were separately threshed and grains were weighted. The average grain weight per ear was calculated by dividing the total grain weight by the number of ears.

Leaves area per plant (GF) and (HD) [LAI]= Total leaf area of 6 plants in a plot his parameter was measured at two time points during the course of the experiment; at heading (HD) and during the grain filling period (GF). Measurement was performed using a Leaf area-meter at two time points in the course of the experiment; during the grain filling period and at the heading stage (VT).

Leaves fresh weight (GF) and (HD) - This parameter was measured at two time points during the course of the experiment; at heading (HD) and during the grain filling period (GF). Leaves used for measurement of the LAI were weighted.

Lower stem fresh weight (GF) (HD) and (H) - This parameter was measured at three time points during the course of the experiment: at heading (HD), during the grain filling period (GF) and at harvest (H). Lower internodes from at least 4 plants per plot were separated from the plant and weighted. The average internode weight per plant was calculated by dividing the total grain weight by the number of plants.

Lower stem length (GF) (HD) and (H) - This parameter was measured at three time points during the course of the experiment; at heading (HD), during the grain filling period (GF) and at harvest (H). Lower internodes from at least 4 plants per plot were separated from the plant and their length was measured using a ruler. The average internode length per plant was calculated by dividing the total grain weight by the number of plants.

Lower stem width (GF) (HD) and (H) - This parameter was measured at three time points during the course of the experiment: at heading (HD), during the grain filling period (GF) and at harvest (H). Lower internodes from at least 4 plants per plot were separated from the plant and their diameter was measured using a caliber. The average internode width per plant was calculated by dividing the total grain weight by the number of plants.

Plant height growth: the relative growth rate (RGR) of Plant Height was calculated using Formula III above.

SPAD - Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 64 days post sowing. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot. Data were taken after 46 and 54 days after sowing (DPS).

Stem fresh weight (GF) and (HD)- This parameter was measured at two time points during the course of the experiment: at heading (HD) and during the grain filling period (GF).Stems of the plants used for measurement of the LAI were weighted.

Total dry matter was calculated using Formula XXXV.

Upper stem fresh weight (GF) (HD) and (H) - This parameter was measured at three time points during the course of the experiment; at heading (HD), during the grain filling period (GF)and at harvest(H). Upper internodes from at least 4 plants per plot were separated from the plant and weighted. The average internode weight per plant was calculated by dividing the total grain weight by the number of plants.

Upper stem length (GF) (HD) and (H) - This parameter was measured at three time points during the course of the experiment; at heading (HD), during the grain filling period (GF) and at harvest (H). Upper internodes from at least 4 plants per plot were separated from the plant and their length was measured using a ruler. The average internode length per plant was calculated by dividing the total grain weight by the number of plants.

Upper stem width (GF) (HD) and (H) (mm) - This parameter was measured at three time points during the course of the experiment; at heading (HD), during the grain filling period (GF)and at harvest(H). Upper internodes from at least 4 plants per plot were separated from the plant and their diameter was measured using a caliber. The average internode width per plant was calculated by dividing the total grain weight by the number of plants.

Vegetative dry weight (Kg.) - total weight of the vegetative portion of 6 plants (above ground excluding roots) after drying at 70° C. in oven for 48 hours weight by the number of plants.

Vegetative fresh weight (Kg.) - total weight of the vegetative portion of 6 plants (above ground excluding roots).

Node number - nodes on the stem were counted at the heading stage of plant development.

Maize correlated parameters (vectors) under normal conditions and under defoliation
Normal conditions	Defoliation
Correlated parameter with	Correlation ID	Correlated parameter with	Correlati on ID
1000 grains weight [g]	1	1000 grains weight [g]	1
Cob width [mm]	2	Cob width [mm]	2
Ear Area [cm2]	3	Ear Area [cm2]	3
Ear Filled Grain Area [cm2]	4	Ear Filled Grain Area [cm2]	4
Ear Width [cm]	5	Ear Width [cm]	5
Ear avr weight [g]	6	Ear avr weight [g]	6
Ear height [cm]	7	Ear height [cm]	7
Ear length (feret’s) [cm]	8	Ear length (feret’s) [cm]	8
Ear row num	9	Ear row num	9
Ears FW per plant (GF) [g/plant]	10	Ears dry weight (SP) [g/plant]	10
Ears dry weight (SP) [kg]	11	Ears fresh weight (SP) [kg]	11
Ears fresh weight (SP) [kg]	12	Ears per plant (SP) [g/plant]	12
Ears per plant (SP) [g/plant]	13	Filled / Whole Ear [value]	13
Filled / Whole Ear [value]	14	Grain Perimeter [cm]	14
Grain Perimeter [cm]	15	Grain RH [%]	15
Grain RH [%]	16	Grain area [cm2]	16
Grain area [cm2]	17	Grain length [cm]	17
Grain length [cm]	18	Grain width [cm]	18
Grain width [cm]	19	Grains dry weight (SP) [kg]	19
Grains dry weight (SP) [kg]	20	Grains weight (SP) [kg]	20
Grains weight (SP) [kg]	21	Grains weight per ear (SP) [kg]	21
Grains weight per ear (SP) [kg]	22	Leaves FW (hd) [g]	22
Leaves FW (GF) [g]	23	Leaves area PP (hd) [cm2]	23
Leaves FW (hd) [g]	24	Leaves num (LAI) (hd)	24
Leaves area PP (GF) [cm2]	25	Leaves num 1	25
Leaves area PP (hd) [cm2]	26	Leaves temperature (GF)	26
Leaves num (LAI) (hd)	27	Lower Stem FW (h) [g]	27
Leaves num 1	28	Lower Stem FW (hd) [g]	28
Leaves temperature (GF)	29	Lower Stem length (h) [cm]	29
Lower Stem FW (GF) [g]	30	Lower Stem length (hd) [cm]	30
Lower Stem FW (h) [g]	31	Lower Stem width (h) [mm]	31
Lower Stem FW (hd) [g]	32	Lower Stem width (hd) [mm]	32
Lower Stem length (GF) [cm]	33	Node number	33
Lower Stem length (h) [cm]	34	Num days to Heading (field)	34
Lower Stem length (hd) [cm]	35	Plant height [cm]	35
Lower Stem width (GF) [cm]	36	Plant height growth [cm/day]	36
Lower Stem width (h) [mm]	37	SPAD (GF) [value]	37
Lower Stem width (hd) [mm]	38	Stem FW (hd) [mm]	38
Node number	39	Total dry matter (SP) [kg]	39
Num days to Heading (field)	40	Upper Stem FW (h) [g]	40
Plant height [cm]	41	Upper Stem length (h) [cm]	41
Plant height growth [cm/day]	42	Upper Stem width (h) [mm]	42
SPAD (GF) [value]	43	Vegetative DW (SP) [kg]	43
Stem FW (GF) [g]	44	Vegetative FW (SP) [kg]	44
Stem FW (hd) [g]	45
Total dry matter (SP) [kg]	46
Upper Stem FW (GF) [g]	47
Upper Stem FW (h) [g]	48
Upper Stem length (GF) [cm]	49
Upper Stem length (h) [cm]	50
Upper Stem width (GF) [mm]	51
Upper Stem width (h) [mm]	52
Vegetative DW (SP) [kg]	53
Vegetative FW (SP) [kg]	54
Table 81. Provided are the maize correlated parameters,. “NUE” = nitrogen use efficiency; “DW” = dry weight; “cm” = centimeter, “GF” =grain filling, “PP”= per plant, “h”= harvest, “avr” = average, “NUM” = number. “mm” = millimeter; “g” = grams; “kg” = kilograms; “cm” = centimeter.

Thirteen maize varieties were grown, and characterized for parameters, as described above. The average for each parameter was calculated using the JMP software, and values are summarized in Tables 82-85 below. Subsequent correlation between the various transcriptom sets for all or sub set of lines was done by the bioinformatic unit and results were integrated into the database (Tables 86-87 below).

Measured parameters in Maize varieties under normal conditions
Ecotype/Treatment	Line-1	Line-2	Line-3	Line-4	Line-5	Line-6
1	241.091	296.503	232.402	263.250	305.376	303.614
2	23.427	24.633	22.149	25.106	24.714	23.207
3	47.516	82.296	36.009	74.626	61.731	76.997
4	46.808	80.887	17.431	72.415	56.829	73.430
5	4.249	4.656	3.210	4.787	5.016	4.961
6	22.854	209.500	55.556	164.627	132.917	177.444
7	71.139	121.667	110.611	134.235	89.333	149.639
8	13.937	22.091	13.897	19.622	16.062	20.024
9	11.778	13.000	13.750	14.944	15.471	14.556
10	228.743	351.262	201.689	323.077	217.161	307.874
11	0.615	1.257	0.333	1.087	0.798	1.065
12	0.688	1.687	0.468	1.457	1.072	1.412
13	1.667	1.000	1.000	1.111	1.000	1.000
14	0.985	0.982	0.406	0.969	0.919	0.953
15	3.146	3.299	2.793	3.233	3.318	3.275
16	12.700	12.500	12.367	12.367	12.233	11.967
17	0.652	0.720	0.517	0.667	0.705	0.706
18	1.058	1.125	0.895	1.123	1.155	1.133
19	0.783	0.808	0.734	0.753	0.776	0.789
20	0.415	0.907	0.121	0.800	0.367	0.766
21	0.475	1.037	0.138	0.913	0.418	0.869
22	0.069	0.151	0.020	0.133	0.061	0.128
23	137.328	230.129	141.263	197.636	154.760	201.031
24	96.392	110.968	103.967	80.570	119.360	157.210
25	4186.917	7034.596	4884.333	6402.795	4297.250	6353.074
26	4341.250	3171.000	4347.500	3527.000	4517.333	3984.750
27	9.000	8.000	8.833	6.750	8.500	7.750
28	4.333	4.833	3.917	4.167	4.000	4.833
29	32.294	33.111	35.214	33.517	34.526	33.869
30	29.703	35.403	15.660	25.025	23.986	26.514
31	33.690	23.517	21.746	20.340	23.466	25.083
32	38.818	72.988	36.998	59.900	32.614	74.715
33	13.417	19.350	15.833	20.400	16.342	20.925
34	12.484	16.761	16.094	20.022	15.006	22.594
35	9.417	14.500	14.133	17.750	11.083	20.000
36	20.208	19.855	15.904	16.841	15.593	16.139
37	21.518	19.423	15.819	17.188	17.028	16.086
38	23.494	24.138	20.247	20.533	20.812	20.973
39	14.667	15.222	13.778	14.556	13.667	14.611
40	74.000	69.667	74.000	71.000	74.000	69.667
41	173.389	265.111	203.556	255.944	177.444	271.111
42	4.030	6.302	4.153	6.519	4.358	7.144
43	60.952	59.772	48.589	53.170	57.919	53.206
44	447.155	649.026	347.648	489.318	404.783	524.055
45	468.300	758.610	392.713	587.875	437.855	801.320
46	1.615	2.565	1.411	2.058	1.835	2.316
47	14.369	19.614	8.862	15.539	13.003	17.824
48	10.441	12.937	8.003	11.212	10.438	12.975
49	11.792	16.633	13.917	18.755	13.217	18.375
50	10.422	16.928	13.683	18.756	12.306	18.717

Measured parameters in Maize varieties under normal conditions, additional maize lines
Ecotype/Treatme nt	Line-14	Line-15	Line-16	Line-17	Line-18	Line-19	Line-20
1	290.881	202.573	250.257	275.409	306.201	256.858	187.316
2	23.184	25.919	24.876	22.751	26.468	21.662	24.046
3	78.355	51.175	93.914	57.832	96.772	64.428	55.077
4	74.411	45.927	92.312	54.139	95.429	61.811	51.437
5	4.786	4.368	5.182	4.430	5.001	4.091	4.264
6	147.490	101.917	207.111	100.476	228.444	129.889	84.805
7	118.389	117.889	145.235	99.222	133.778	81.444	125.000
8	20.313	14.750	22.601	16.653	23.837	19.849	16.955
9	16.118	15.944	15.889	13.545	14.000	12.667	17.941
10	325.083	244.997	327.145	241.060	363.704	262.126	146.149
11	1.159	0.612	1.292	0.632	1.371	0.779	0.690
12	1.800	0.704	1.595	0.865	1.739	1.213	0.861
13	1.000	1.000	1.056	1.056	1.000	1.000	0.944
14	0.930	0.889	0.982	0.934	0.986	0.955	0.934
15	3.246	2.860	3.182	3.082	3.291	2.946	2.810
16	12.600	12.033	12.233	11.200	11.967	13.133	11.667
17	0.665	0.526	0.646	0.627	0.705	0.587	0.495
18	1.142	0.992	1.118	1.041	1.151	0.969	0.962
19	0.740	0.672	0.730	0.763	0.774	0.767	0.653
20	0.820	0.362	0.921	0.419	1.017	0.516	0.408
21	0.940	0.411	1.050	0.471	1.155	0.595	0.462
22	0.137	0.064	0.154	0.073	0.169	0.086	0.073
23	212.413	137.330	181.432	133.844	199.221	155.821	140.336
24	116.750	96.150	106.945	107.158	85.973	98.842	134.450
25	7123.475	4162.750	6075.206	4339.788	6597.666	4756.583	4209.091
26						4205.500
27	7.000	8.667	7.250	7.833	7.250	9.000	9.833
28	4.250	3.833	4.833	3.333	4.083	3.833	4.167
29	33.185	34.815	33.659	36.480	33.781	34.431	34.898
30	27.606	24.589	25.264	24.006	26.178	21.142	29.925
31	20.603	15.197	16.347	19.856	18.901	22.333	31.712
32	60.358	50.068	63.067	46.065	55.885	29.802	68.184
33	18.083	17.700	20.182	15.475	19.808	16.042	23.075
34	17.072	18.267	20.694	14.622	18.478	16.206	21.117
35	15.000	12.333	18.675	14.633	20.500	11.240	18.333
36	18.105	16.705	17.094	15.435	16.868	15.521	14.653
37	17.962	15.953	18.421	16.266	17.434	15.489	16.656
38	23.473	21.292	20.973	20.593	21.458	18.966	22.008
39	14.278	13.889	14.722	14.444	15.444	12.556	13.389
40	72.000	74.000	69.667	74.000	71.000	74.000	68.333
41	244.250	215.206	273.556	229.889	273.222	194.056	260.167
42	5.603	4.686	6.960	4.424	7.017	4.298	6.424
43	55.376	56.450	56.759	54.600	55.812	52.548	61.457
44	507.783	475.345	549.336	463.157	509.738	324.976	477.917
45	660.695	468.267	724.575	435.500	618.460	339.267	592.130
46	2.233	1.347	2.727	1.503	2.331	1.560	1.615
47	15.849	12.442	14.395	16.773	17.848	13.457	20.847
48	9.723	3.074	6.981	9.759	9.396	11.344	16.205
49	17.067	14.467	17.518	17.542	18.150	15.625	20.150
50	16.417	12.094	18.339	15.622	16.628	16.572	18.494

Measured parameters in Maize varieties under defoliation
Ecotype/Treatment	Line-2	Line-3	Line-4	Line-5	Line-6	Line-7
1	280.025	249.808	251.859	244.024	294.292	262.463
2	19.028	21.874	22.115	19.269	16.306	21.460
3	53.600	NA	45.503	25.764	38.307	37.749
4	51.497	NA	42.952	21.912	34.591	36.008
5	4.181	NA	4.207	3.376	3.919	3.945
6	89.202	56.056	100.750	26.773	73.389	79.167
7	119.444	102.778	131.556	91.375	145.528	121.000
8	16.338	NA	13.626	10.542	12.889	12.481
9	12.706	13.909	14.357	13.600	13.000	13.167
10	0.747	0.317	0.583	0.189	0.440	0.475
11	0.973	0.464	0.833	0.250	0.629	0.637
12	1.000	0.944	0.944	0.471	1.000	1.000
13	0.954	NA	0.915	0.820	0.873	0.951
14	3.109	2.936	3.144	2.894	3.179	2.919
15	13.467	12.767	12.367	13.200	12.833	12.400
16	0.649	0.562	0.632	0.563	0.669	0.570
17	1.052	0.947	1.080	0.957	1.079	0.956
18	0.777	0.753	0.740	0.729	0.781	0.757
19	0.523	0.155	0.400	0.087	0.289	0.283
20	0.604	0.178	0.456	0.097	0.331	0.323
21	0.087	0.027	0.069	0.021	0.048	0.047
22	112.270	78.475	94.985	107.475	125.138	93.500
23	3914.000	NA	3480.000	NA	4276.500	NA
24	7.750	8.000	7.500	8.667	8.000	8.167
25	4.500	3.917	4.083	4.917	4.333	4.583
26	32.472	34.626	33.093	34.456	33.637	32.433
27	23.021	18.392	26.502	19.689	26.975	14.456
28	64.160	30.778	53.813	28.248	56.413	47.118
29	16.294	15.306	21.439	14.294	20.850	14.056
30	15.150	12.250	18.500	9.133	16.667	14.917
31	19.539	15.813	16.899	15.916	15.793	15.517
32	24.300	18.868	20.565	21.737	21.058	22.490
33	15.167	13.167	14.389	13.294	15.000	13.833
34	72.000	78.000	73.000	74.000	73.000	74.000
35	251.417	191.000	248.639	175.500	268.056	203.444
36	6.385	3.787	6.319	4.232	6.315	4.214
37	61.213	47.106	57.363	55.451	58.022	58.156
38	713.540	323.125	538.043	442.733	705.525	421.642

Measured parameters in Maize varieties under defoliation, additional maize lines
Ecotype/Treatment	Line-14	Line-15	Line-16	Line-17	Line-18	Line-19	Line-20
1	230.119	200.087	271.250	236.886	259.427	218.764	203.643
2	19.768	23.640	22.441	20.880	20.283	20.871	21.198
3	39.827	32.330	47.329	21.782	65.896	37.337	63.114
4	36.313	25.193	43.339	20.167	64.803	34.644	54.962
5	4.099	3.520	4.202	2.743	4.664	3.532	4.562
6	85.044	53.044	33.100	92.167	161.761	66.500	89.497
7	123.375	112.722	135.000	96.000	136.500	73.500	113.944
8	13.214	11.957	14.818	10.472	17.602	13.734	17.210
9	14.063	15.125	13.750	12.333	13.938	12.471	18.000
10	0.454	0.300	0.630	0.128	0.803	0.399	0.478
11	0.648	0.371	0.819	0.136	1.148	0.739	0.599
12	0.889	0.944	1.000	0.222	0.882	1.000	0.944
13	0.905	0.709	0.905	0.933	0.983	0.918	0.757
14	3.130	2.558	3.016	2.810	3.117	2.767	2.934
15	12.567	13.000	13.150	12.800	13.150	12.967	11.700
16	0.631	0.442	0.610	0.528	0.623	0.513	0.543
17	1.066	0.826	1.024	0.932	1.084	0.927	1.020
18	0.750	0.672	0.750	0.716	0.724	0.699	0.670
19	0.302	0.143	0.439	0.044	0.667	0.255	0.359
20	0.345	0.165	0.505	0.050	0.767	0.293	0.406
21	0.056	0.025	0.073	0.026	0.124	0.043	0.076
22	113.783	93.190	93.738	94.367	89.858	91.600	122.070
23	3436.00 0	NA	4593.00 0	NA	4315.50 0	NA	NA
24	6.750	8.800	7.500	7.833	6.250	8.500	9.400
25	4.417	4.667	4.500	4.000	4.083	4.333	4.167
26	33.433	32.831	33.424	33.020	33.981	31.871	33.320
27	27.885	17.561	17.329	17.691	20.510	23.057	34.332
28	64.188	48.835	76.233	45.857	57.850	27.597	59.030
29	18.759	17.972	20.883	13.228	17.828	14.911	20.122
30	16.100	12.917	14.833	12.917	17.500	10.667	17.200
31	18.215	17.289	17.233	16.176	17.882	15.890	18.708
32	20.955	22.352	22.470	20.057	21.230	18.472	20.590
33	14.389	13.667	14.667	14.222	15.611	12.333	13.111
34	71.000	74.000	70.667	74.000	71.000	75.333	72.000
35	254.639	210.222	261.944	215.889	268.878	181.722	251.000
36	6.482	4.912	6.282	4.450	7.044	3.711	5.808
37	59.654	58.322	59.985	54.907	56.761	50.606	60.657
38	673.238	485.700	738.368	392.267	692.225	327.840	539.167

Tables 86 and 87 here in below provide the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector (Cor))] under normal and defoliation conditions across maize varieties. P = p value.

Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal conditions across maize varieties
Gene Name	R	P value	Exp. set	Cor. Set ID	Gene Name	R	P value	Exp . set	Cor. Set ID
LNU814	0.711	1.41E-02	3	26	LNU824	0.727	3.85E-05	3	50
LNU824	0.843	1.24E-07	3	12	LNU824	0.720	4.95E-05	3	6
LNU824	0.770	6.81E-06	3	20	LNU824	0.779	4.47E-06	3	11
LNU824	0.775	5.45E-06	3	21	LNU824	0.752	1.44E-05	3	25
LNU824	0.701	9.54E-05	3	10	LNU824	0.754	1.34E-05	3	22
LNU824	0.776	1.35E-05	2	50	LNU824	0.704	1.76E-04	2	23
LNU824	0.743	4.96E-05	2	12	LNU824	0.708	1.56E-04	2	11
LNU832	0.766	1.60E-02	2	26	LNU813	0.722	1.21E-02	2	49
LNU813	0.738	6.14E-03	3	13	LNU814	0.700	1.12E-02	3	32
LNU813	0.719	1.26E-02	2	48	LNU815	0.835	7.34E-04	1	36
LNU814	0.729	1.10E-02	1	5	LNU815	0.732	6.85E-03	1	19
LNU815	0.705	1.05E-02	1	1	LNU816	0.703	1.57E-02	2	7
LNU815	0.753	4.68E-03	1	30	LNU817	0.840	1.21E-03	2	38
LNU816	0.722	7.99E-03	1	13	LNU818	0.834	7.40E-04	3	37
LNU818	0.731	6.92E-03	3	28	LNU818	0.737	9.61E-03	2	41
LNU818	0.794	2.02E-03	3	7	LNU818	0.770	5.60E-03	2	34
LNU818	0.700	1.64E-02	2	51	LNU818	0.749	8.04E-03	1	5
LNU818	0.829	1.60E-03	2	7	LNU819	0.712	1.40E-02	2	40
LNU819	0.764	6.20E-03	3	5	LNU820	0.755	4.57E-03	3	18
LNU819	0.713	1.37E-02	1	5	LNU820	0.834	7.46E-04	3	32
LNU820	0.794	2.05E-03	3	46	LNU820	0.704	1.07E-02	3	21
LNU820	0.712	9.44E-03	3	20	LNU820	0.759	4.22E-03	1	36
LNU820	0.712	9.44E-03	3	22	LNU821	0.715	8.92E-03	3	51
LNU820	0.736	6.32E-03	1	19	LNU823	0.780	2.76E-03	3	34
LNU823	0.766	3.65E-03	3	51	LNU823	0.757	4.38E-03	3	42
LNU823	0.741	5.79E-03	3	33	LNU823	0.726	7.47E-03	3	35
LNU823	0.776	3.03E-03	3	43	LNU823	0.753	1.19E-02	2	8
LNU823	0.744	8.61E-03	2	51	LNU825	0.745	5.38E-03	3	19
LNU824	0.705	1.05E-02	3	13	LNU828	0.726	7.57E-03	3	34
LNU825	0.704	1.56E-02	2	1	LNU828	0.719	8.47E-03	1	49
LNU828	0.804	1.62E-03	3	33	LNU828	0.726	7.53E-03	1	48
LNU828	0.789	2.31E-03	1	45	LNU829	0.713	9.30E-03	3	19
LNU828	0.823	1.02E-03	1	30	LNU831	0.865	2.82E-04	1	36
LNU831	0.746	5.30E-03	3	44	LNU834	0.730	6.97E-03	1	24
LNU831	0.777	2.96E-03	1	53	LNU834	0.805	1.57E-03	1	34
LNU834	0.751	7.71E-03	1	5	LNU834	0.702	1.09E-02	1	46
LNU834	0.723	7.92E-03	1	18	LNU834	0.767	3.57E-03	1	20
LNU834	0.829	8.51E-04	1	32	LNU834	0.751	4.89E-03	1	11
LNU834	0.723	7.86E-03	1	7	LNU834	0.767	3.57E-03	1	22
LNU834	0.758	4.28E-03	1	21	LNU835	0.876	1.86E-04	1	49
LNU835	0.725	1.15E-02	2	51	LNU835	0.809	1.46E-03	1	44
LNU835	0.748	5.16E-03	1	52	LNU835	0.925	1.61E-05	1	48
LNU835	0.869	2.39E-04	1	45	LNU835	0.806	1.54E-03	1	31
LNU835	0.784	2.52E-03	1	10	LNU839	0.751	7.71E-03	1	5
LNU835	0.916	2.89E-05	1	30	LNU841	0.792	3.65E-03	2	25
LNU840	0.844	5.57E-04	1	25	LNU841	0.845	5.38E-04	1	36
LNU841	0.710	9.70E-03	1	47	LNU841	0.849	4.80E-04	1	37
LNU841	0.854	4.03E-04	1	53	LNU841	0.729	7.17E-03	1	54
LNU841	0.772	3.27E-03	1	55	LNU844	0.716	8.75E-03	3	46
LNU844	0.724	7.79E-03	3	24	LNU844	0.758	4.28E-03	3	20
LNU844	0.812	1.34E-03	3	32	LNU844	0.747	5.21E-03	3	21
LNU844	0.717	8.64E-03	3	11	LNU844	0.835	7.31E-04	1	44
LNU844	0.758	4.28E-03	3	22	LNU844	0.727	7.35E-03	1	55
LNU844	0.731	6.88E-03	1	45	LNU845	0.799	1.81E-03	3	33
Table 86.

Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under defoliation across maize varieties
Gene Name	R	P value	Exp. set	Cor. Set ID	Gene Name	R	P value	Exp. set	Cor. Set ID
LNU814	0.761	1.01E-05	3	21	LNU819	0.765	8.32E-06	1	21
LNU824	0.720	4.95E-05	3	41	LNU824	0.715	5.85E-05	2	41
LNU824	0.719	5.18E-05	2	11	LNU829	0.725	7.62E-03	3	23
LNU829	0.753	1.41E-05	3	21	LNU832	0.703	8.91E-05	1	21
LNU835	0.720	4.98E-05	1	21	LNU813	0.721	8.15E-03	2	15
LNU813	0.740	5.93E-03	1	22	LNU814	0.701	1.11E-02	1	36
LNU814	0.701	1.11E-02	3	24	LNU815	0.766	3.70E-03	3	16
LNU815	0.710	9.74E-03	3	14	LNU815	0.773	3.20E-03	1	18
LNU815	0.769	3.49E-03	1	16	LNU816	0.714	9.14E-03	1	21
LNU816	0.751	4.86E-03	3	2	LNU817	0.718	8.54E-03	1	22
LNU817	0.732	6.79E-03	3	24	LNU819	0.754	4.59E-03	2	22
LNU819	0.716	8.80E-03	3	42	LNU819	0.767	3.57E-03	2	2
LNU819	0.792	2.16E-03	2	5	LNU819	0.730	6.98E-03	2	7
LNU819	0.733	6.71E-03	2	37	LNU823	0.706	1.03E-02	3	14
LNU820	0.771	3.29E-03	1	36	LNU823	0.738	6.19E-03	3	1
LNU823	0.765	3.78E-03	3	16	LNU824	0.834	7.54E-04	1	36
LNU823	0.764	3.81E-03	1	36	LNU829	0.725	7.62E-03	3	23
LNU825	0.700	1.12E-02	3	8	LNU829	0.870	2.32E-04	1	36
LNU829	0.744	5.55E-03	3	32	LNU831	0.703	1.08E-02	3	31
LNU829	0.733	6.68E-03	2	27	LNU833	0.752	4.82E-03	2	42
LNU832	0.712	9.33E-03	3	40	LNU834	0.771	3.30E-03	3	30
LNU834	0.723	7.83E-03	3	2	LNU837	0.748	5.16E-03	3	22
LNU834	0.705	1.05E-02	1	21	LNU837	0.786	2.45E-03	2	22
LNU837	0.728	7.24E-03	3	37	LNU837	0.718	8.55E-03	2	31
LNU837	0.768	3.56E-03	2	37	LNU839	0.771	3.30E-03	3	30
LNU837	0.728	7.24E-03	2	24	LNU843	0.709	9.87E-03	1	32
LNU841	0.815	1.23E-03	3	26	LNU844	0.827	9.07E-04	1	2
LNU844	0.731	6.88E-03	1	5	LNU845	0.805	1.57E-03	3	2
LNU844	0.808	1.49E-03	1	9	LNU813	0.783	2.59E-03	3	4
LNU845	0.779	2.85E-03	1	30	LNU813	0.737	6.26E-03	3	8
LNU811	0.733	4.40E-03	1	15	LNU813	0.701	7.60E-03	1	11
LNU813	0.760	4.15E-03	3	3	LNU814	0.744	3.54E-03	3	6
LNU813	0.749	3.23E-03	3	26	LNU814	0.832	4.23E-04	1	21
LNU814	0.721	5.42E-03	3	1	LNU815	0.806	8.77E-04	1	21
LNU814	0.819	6.19E-04	3	21	LNU816	0.871	1.07E-04	3	9
LNU815	0.703	7.34E-03	1	6	LNU816	0.722	5.28E-03	1	44
LNU816	0.724	5.11E-03	3	28	LNU817	0.707	6.87E-03	3	2
LNU816	0.750	3.16E-03	1	40	LNU817	0.716	5.92E-03	2	12
LNU816	0.854	2.00E-04	1	27	LNU818	0.702	7.45E-03	1	39
LNU817	0.764	2.35E-03	1	2	LNU818	0.743	3.64E-03	1	11
LNU818	0.791	1.27E-03	1	22	LNU818	0.756	2.77E-03	1	19
LNU818	0.796	1.12E-03	1	38	LNU818	0.765	2.33E-03	1	20
LNU818	0.707	6.93E-03	1	37	LNU819	0.704	1.07E-02	3	4
LNU818	0.740	3.82E-03	1	10	LNU819	0.717	5.84E-03	3	30
LNU818	0.733	4.40E-03	1	32	LNU819	0.809	8.02E-04	1	16
LNU819	0.745	3.45E-03	3	28	LNU819	0.731	4.53E-03	1	6
LNU819	0.741	3.75E-03	1	14	LNU819	0.925	5.82E-06	1	21
LNU819	0.839	3.34E-04	1	1	LNU821	0.751	3.07E-03	1	6
LNU819	0.830	4.53E-04	1	18	LNU821	0.886	5.50E-05	1	21
LNU821	0.704	7.29E-03	1	1	LNU822	0.710	6.59E-03	2	44
LNU821	0.700	1.12E-02	1	8	LNU824	0.707	6.94E-03	1	41
LNU822	0.756	2.77E-03	2	31	LNU825	0.761	2.54E-03	3	40
LNU823	0.709	9.90E-03	1	8	LNU825	0.736	4.13E-03	2	16
LNU824	0.749	3.19E-03	1	43	LNU825	0.749	3.20E-03	2	18
LNU825	0.700	7.70E-03	3	27	LNU829	0.739	3.94E-03	3	14
LNU825	0.707	6.85E-03	2	6	LNU829	0.848	2.48E-04	3	1
LNU829	0.757	4.39E-03	3	4	LNU829	0.709	9.84E-03	3	3
LNU829	0.773	1.93E-03	3	16	LNU829	0.931	3.74E-06	3	21
LNU829	0.771	2.02E-03	3	18	LNU831	0.771	2.02E-03	2	10
LNU829	0.740	5.92E-03	3	8	LNU832	0.799	1.05E-03	1	41
LNU831	0.714	6.16E-03	2	33	LNU832	0.785	1.46E-03	1	21
LNU831	0.711	6.49E-03	2	20	LNU834	0.723	5.22E-03	3	35
LNU832	0.726	7.53E-03	1	8	LNU834	0.708	6.75E-03	1	33
LNU832	0.783	1.54E-03	2	34	LNU835	0.726	5.00E-03	1	6
LNU834	0.746	3.40E-03	3	6	LNU835	0.828	4.72E-04	1	21
LNU835	0.715	5.98E-03	1	1	LNU835	0.756	2.80E-03	2	18
LNU835	0.704	7.26E-03	1	18	LNU838	0.744	3.57E-03	1	41
LNU835	0.718	5.69E-03	2	1	LNU838	0.746	5.33E-03	1	8
LNU835	0.841	3.17E-04	2	21	LNU839	0.746	3.40E-03	3	6
LNU838	0.750	3.16E-03	1	40	LNU841	0.719	5.61E-03	1	21
LNU839	0.723	5.22E-03	3	35	LNU843	0.734	4.27E-03	2	27
LNU839	0.708	6.75E-03	1	33	LNU846	0.739	3.91E-03	2	36
LNU841	0.745	3.46E-03	2	2	LNU846	0.714	6.16E-03	2	29
Table 87.

Example 11

Production of Foxtail Millet Transcriptom and High Throughput Correlation Analysis Using 60K Foxtail Millet Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a foxtail millet oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?lPage=50879]. The array oligonucleotide represents about 60K foxtail millet genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 14 different foxtail millet accessions were analyzed. Among them, 11 accessions encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Experimental Procedures

14 foxtail millet varieties were grown in 5 repetitive plots, in field. Briefly, the growing protocol was as follows:

• 1. Regular growth conditions: foxtail millet plants were grown in the field using commercial fertilization and irrigation protocols, which include 283 m³ water per dunam (100 square meters) per entire growth period and fertilization of 16 units of URAN® 32% (Nitrogen Fertilizer Solution; PCS Sales, Northbrook, IL, USA) (normal growth conditions).
• 2. Drought conditions: foxtail millet seeds were sown in soil and grown under normal condition until heading stage (22 days from sowing), drought treatment was imposed by irrigating plants with 50% water relative to the normal treatment from this stage (171 m³ water per dunam (100 square meters) per entire growth period).

Analyzed foxtail millet tissues - All 14 foxtail millet lines were sample per each treatment. Three tissues [leaf, flower, and stem] at 2 different developmental stages [flowering, grain filling], representing different plant characteristics, were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Tables 88-89 below.

Foxtail millet transcriptom expression sets under drought conditions
Expression Set                   Set ID
flower:flowering stage:drought   1
leaf:flowering stage:drought     2
stem:flowering stage:drought     3
grain:grain filling stage:drought 4
leaf:grain filling stage:drought 5
stem:grain filling stage:drought 6
Table 88. Provided are the barley transcriptome expression sets under drought conditions

Foxtail millet transcriptom expression sets under normal conditions
Expression Set                   Set ID
flower:flowering stage           1
leaf:flowering stage             2
grain:grain filling stage:normal 4
leaf: grain filling stage:normal 5
stem:grain filling stage:normal  6
Table 89. Provided are the barley transcriptome expression sets under normal conditions

Foxtail millet yield components and vigor related parameters assessment -Plants were continuously phenotyped during the growth period and at harvest (Table 102, below). The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program - ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [Hypertext Transfer Protocol://rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

The following parameters were collected using digital imaging system:

• At the end of the growing period the grains were separated from the Plant ‘Head’ and the following parameters were measured and collected:
• Average Grain Area (cm²) - A sample of ~200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.
• Average Grain Length and width (cm) - A sample of ~200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths and width (longest axis) were measured from those images and were divided by the number of grains.

At the end of the growing period 14 ‘Heads’ were photographed and images were processed using the below described image processing system.

Average Grain Perimeter (cm) - At the end of the growing period the grains were separated from the Plant ‘Head’. A sample of ~200 grains were weighted, photographed and images were processed using the below described image processing system. The sum of grain perimeter was measured from those images and was divided by the number of grains.

Head Average Area (cm²) The ‘Head’ area was measured from those images and was divided by the number of ‘Heads’.

Head Average Length and width (mm) The ‘Head’ length and width (longest axis) were measured from those images and were divided by the number of ‘Heads’.

The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program - ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at Hypertext Transfer Protocol://rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888x2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

Additional parameters were collected either by sampling 5 plants per plot or by measuring the parameter across all the plants within the plot.

Head weight (gr.) and head number (num.) - At the end of the experiment, heads were harvested from each plot and were counted and weighted.

Total Grain Yield (gr.) - At the end of the experiment (plant ‘Heads’) heads from plots were collected, the heads were threshed and grains were weighted. In addition, the average grain weight per head was calculated by dividing the total grain weight by number of total heads per plot (based on plot).

1000 Seeds weight [gr] - weight of 1000 seeds per plot

Biomass at harvest - At the end of the experiment the vegetative portion above ground (excluding roots) from plots was weighted.

Total dry mater per plot - Calculated as Vegetative portion above ground plus all the heads dry weight per plot.

Num days to anthesis - Calculated as the number of days from sowing till 50% of the plot arrives anthesis.

Maintenance of performance under drought conditions: Represent ratio for the specified parameter of Drought condition results divided by Normal conditions results (maintenance of phenotype under drought in comparison to normal conditions). Data parameters collected are summarized in Table 90, herein below.

Foxtail millet correlated parameters (vectors)
Correlated parameter with        Correlation ID
1000 grain weight (gr)           1
Biomass at harvest (1 M) (Kg.)   2
Grain Perimeter (cm)             3
Grain area (cm2)                 4
Grain length (cm)                5
Grain width (cm)                 6
Grains yield per Head (plot) (gr) 7
Head Area (cm2)                  8
Head Width (cm)                  9
Head length (cm)                 10
Heads num                        11
Num days to Anthesis             12
Total Grains yield (gr)          13
Total dry matter (1 M) (Kg.)     14
Total heads weight (Kg.)         15
Table 90. Provided are the foxtail millet collected parameters.

Experimental Results

14 different foxtail millet accessions were grown and characterized for different parameters as described above (Table 90). The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 91-96 below. Subsequent correlation analysis between the various transcriptom sets and the average parameters (Tables 91-96) was conducted (Tables 97-99). Follow, results were integrated to the database.

Measured parameters of correlation IDs in foxtail millet accessions under drought conditions
Line/C or. ID	1	2	3	4	5	6	7	8
Line-1	2.6392	1.5284	0.6825	0.0333	0.2416	0.1755	3.0533	35.7477
Line-2	3.3285	3.4592	0.7215	0.0373	0.2445	0.1943	8.8318	50.7137
Line-3	2.6105	2.8720	0.6888	0.0335	0.2496	0.1707	1.3364	18.3997
Line-4	2.2948	2.9348	0.6827	0.0319	0.2543	0.1597	1.0933	14.9379
Line-5	2.3036	3.0224	0.6902	0.0326	0.2568	0.1618	1.3094	17.6865
Line-6	2.6419	2.6648	0.6923	0.0334	0.2504	0.1701	0.4864	9.9107
Line-7	2.2151	2.9750	0.6481	0.0297	0.2331	0.1626	1.6279	20.9859
Line-8	1.8374	0.7652	0.5695	0.0238	0.1944	0.1561	3.7375	39.9290
Line-9	2.5396	2.6616	0.6607	0.0317	0.2230	0.1807	9.9001	42.1487
Line-10	1.6912	2.9464	0.5929	0.0252	0.2034	0.1581	4.1426	43.5237
Line-11	3.0961	3.2304	0.7204	0.0365	0.2608	0.1782	2.9746	26.9309
Line-12	2.5413	3.3032	0.6747	0.0321	0.2448	0.1665	1.3047	21.2295
Line-13	3.2382	2.6316	0.7484	0.0391	0.2700	0.1842	0.3629	7.3024
Line-14	2.2454	0.8856	0.6593	0.0301	0.2417	0.1586	1.7407	13.1262
Table 91: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (line) under drought growth conditions. Growth conditions are specified in the experimental procedure section

Additional measured parameters of correlation IDs in foxtail millet accessions under drought conditions
Line/Cor . ID	9	10	11	12	13	14	15
Line-1	1.8708	22.3630	374.4	34	1141.493 8	0.5038	2.8880
Line-2	2.6767	21.8851	127	41	1116.178 2	0.7328	6.0868
Line-3	1.3254	16.5045	737.8	51	988.2113	0.7984	5.3252
Line-4	1.3341	13.3077	1100.8	41	1202.773 3	0.6160	5.4020
Line-5	1.5008	13.9981	1047.2	41	1360.510 6	0.7079	5.5700
Line-6	1.1661	9.1123	2050	30	995.1714	0.4700	5.2800
Line-7	1.6655	15.0971	581.5	38	946.8482	0.6075	5.1205
Line-8	2.1528	21.1335	311.6	30	1159.783 9	0.3491	2.2884
Line-9	2.3622	20.0249	147.2	38	1391.388 2	0.4366	5.8340
Line-10	2.3216	21.7995	95.4	NA	394.5104	0.6448	4.3164
Line-11	1.5449	20.7968	414.4	44	1199.501 6	0.7484	5.6392
Line-12	1.5902	15.8491	667.8	51	872.4820	0.8724	5.1316
Line-13	1.2536	6.4468	2441	31	873.9356	0.5228	5.1264
Line-14	1.7376	9.1779	687.5	27	1187.9820	0.3605	2.3065
Table 92: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (line) under drought growth conditions. Growth conditions are specified in the experimental procedure section

Measured parameters of correlation IDs in foxtail millet accessions for Maintenance of performance under drought conditions
Line/Cor . ID	1	2	3	4	5	6	7
Line-1	107.28492	63.80296	101.14903	103.09389	100.71910	102.26639	89.85420
Line-2	97.44009	86.66199	100.63477	101.05865	101.13165	100.03126	121.1905
Line-3	99.89264	90.61080	101.03545	102.80522	100.39213	102.38873	76.40597
Line-4	97.29088	81.97765	100.28207	100.87451	100.43193	100.42313	83.95708
Line-5	95.73134	84.03025	100.56979	101.56544	100.17700	101.33417	83.22790
Line-6	99.52308	87.17613	99.36660	99.75367	99.50116	100.23080	70.03712
Line-7	101.3838	73.57305	100.8677	101.1388	101.0330	100.2182	77.37223
Line-8	102.16287	66.77138	99.64822	99.96068	99.16887	100.78369	111.7403
Line-9	94.53807	83.21661	99.83736	98.88644	100.70881	98.15907	86.38569
Line-10	102.69124	75.47131	101.82094	102.67156	102.00421	100.61236	57.78836
Line-11	97.60676	90.15405	98.93543	97.94887	99.40096	98.50410	68.36558
Line-12	97.81459	89.80968	97.98844	96.37703	97.77776	98.54474	57.64576
Line-13	101.68636	89.51020	100.39095	101.18981	100.33465	100.85848	83.16443
Line-14	99.50250	59.88639	99.19422	99.24780	98.98318	100.25762	132.38018
Table 93: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (line) for maintenance of performance under drought (calculated as% of change under drought vs normal growth conditions). Growth conditions are specified in the experimental procedure section.

Additional measured parameters of correlation IDs in foxtail millet accessions for Maintenance of performance under drought conditions
Line/ Cor. ID	8	9	10	11	12	13	14
Line-1	94.50182	98.17799	96.68963	87.55847	78.74402	71.70254	75.80848
Line-2	87.63360	98.29102	90.24976	85.12064	104.52251	85.76779	102.30604
Line-3	93.93199	99.87804	93.9717 4	85.09804	64.38181	2.89037	85.90141
Line-4	87.35732	98.42025	89.95839	91.42857	76.74662	66.68110	95.83452
Line-5	89.50996	97.94159	91.00586	91.34682	75.80281	78.32485	88.82439
Line-6	105.26046	98.75548	106.44273	96.15385	67.41849	98.01877	86.91644
Line-7	91.55461	98.97568	93.88055	77.30657	59.82989	66.27755	81.03596
Line-8	97.65054	101.33701	96.59358	79.04617	88.00374	77.03001	81.18348
Line-9	93.05666	94.53334	98.09741	78.88532	65.27431	73.53882	80.43346
Line-10	88.21016	95.66287	93.49773	72.38240	42.06192	64.63512	82.30493
Line-11	97.27140	99.48243	99.65504	95.43989	63.79603	81.97152	85.75426
Line-12	87.80382	100.35077	88.13167	103.31064	61.13590	84.96299	87.70167
Line-13	102.45818	100.81763	101.47055	87.24712	71.85533	83.88960	91.15220
Line-14	89.37679	95.46426	93.80683	69.12327	91.61620	77.76100	84.42533
Table 94: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (line) for maintenance of performance under drought (calculated as% of change under drought vs normal growth conditions). Growth conditions are specified in the experimental procedure section

Measured parameters of correlation IDs in foxtail millet accessions under normal conditions
Line/Cor . ID	1	2	3	4	5	6	7
Line-1	2.45995	2.39550	0.67477	0.03230	0.23989	0.17157	3.39810
Line-2	3.41596	3.99160	0.71695	0.03689	0.24172	0.19428	7.28754
Line-3	2.61327	3.16960	0.68170	0.03255	0.24860	0.16670	1.74902
Line-4	2.35874	3.58000	0.68083	0.03161	0.25317	0.15900	1.30220
Line-5	2.40635	3.59680	0.68626	0.03213	0.25634	0.15968	1.57325
Line-6	2.65459	3.05680	0.69667	0.03353	0.25168	0.16966	0.69451
Line-7	2.18488	4.04360	0.64249	0.02941	0.23076	0.16223	2.10395
Line-8	1.79847	1.14600	0.57148	0.02386	0.19607	0.15493	3.34479
Line-9	2.68629	3.19840	0.66174	0.03201	0.22145	0.18410	11.46040
Line-10	1.64690	3.90400	0.58226	0.02458	0.19936	0.15712	7.16855
Line-11	3.17197	3.58320	0.72818	0.03729	0.26240	0.18093	4.35102
Line-12	2.59803	3.67800	0.68858	0.03326	0.25037	0.16901	2.26328
Line-13	3.18446	2.94000	0.74550	0.03864	0.26910	0.18267	0.43640
Line-14	2.25661	1.47880	0.66464	0.03032	0.24416	0.15822	1.31493
Table 95: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (line) under normal growth conditions. Growth conditions are specified in the experimental procedure section

Additional measured parameters of correlation IDs in foxtail millet accessions under normal conditions
Line/Cor . ID	8	9	10	11	12	13	14
Line-1	37.82752	1.90548	23.12861	427.60000	1449.62604	0.70263	3.80960
Line-2	57.87014	2.72325	24.24950	149.20000	1067.88312	0.85440	5.94960
Line-3	19.58832	1.32700	17.56325	867.0000 0	1534.923 10	0.96320	6.19920
Line-4	17.09980	1.35550	14.79317	1204.00000	1567.20040	0.92380	5.63680
Line-5	19.75921	1.53239	15.38157	1146.40000	1794.80240	0.90380	6.27080
Line-6	9.41542	1.18075	8.56073	2132.00000	1476.11048	0.47950	6.07480
Line-7	22.92173	1.68275	16.08119	752.2000	1582.567	0.91660	6.31880
Line-8	40.88973	2.12436	21.87883	394.20000	1317.88024	0.45320	2.81880
Line-9	45.29355	2.49875	20.41332	186.60000	2131.60156	0.59370	7.25320
Line-10	49.34091	2.42686	23.31557	131.80000	937.92760	0.99760	5.24440
Line-11	27.68630	1.55289	20.86882	434.20000	1880.21340	0.91300	6.57600
Line-12	24.17832	1.58464	17.98348	646.40000	1427.11884	1.02680	5.85120
Line-13	7.12724	1.24343	6.35334	2797.80000	1216.24320	0.62320	5.62400
Line-14	14.68632	1.82013	9.78380	994.60000	1296.69424	0.46360	2.73200
Table 96: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (line) under normal growth conditions. Growth conditions are specified in the experimental procedure section

Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under drought conditions across foxtail millet varieties
Gene Name	R	P value	Exp. set	Cor. Set ID	Gene Name	R	P value	Exp. set	Cor. Set ID
LNU801	0.761	1.05E-02	2	16	LNU801	0.789	6.66E-03	2	2
LNU801	0.735	1.55E-02	2	17	LNU802	0.846	3.37E-02	1	1
LNU802	0.817	4.71E-02	1	4	LNU802	0.817	4.72E-02	1	10
LNU802	0.750	8.58E-02	1	3	LNU802	0.795	5.87E-02	1	11
LNU802	0.785	6.42E-02	1	8	LNU802	0.870	2.42E-02	1	6
LNU802	0.854	3.03E-02	1	9	LNU803	0.824	4.40E-02	1	13
LNU804	0.736	9.50E-02	1	12	LNU804	0.711	1.13E-01	1	7
LNU805	0.795	5.97E-03	2	7	LNU806	0.797	5.77E-02	1	7
LNU806	0.756	1.14E-02	2	1	LNU806	0.816	3.96E-03	2	6
LNU807	0.760	7.96E-02	1	15	LNU807	0.865	2.60E-02	1	10
LNU807	0.792	6.05E-02	1	11	LNU807	0.857	2.91E-02	1	8
LNU807	0.873	2.30E-02	1	9	LNU807	0.739	1.47E-02	2	10
LNU807	0.803	5.12E-03	2	8	LNU807	0.737	1.50E-02	2	9
LNU808	0.828	3.12E-03	2	5	LNU809	0.703	1.19E-01	1	16
LNU809	0.721	1.06E-01	1	2	LNU809	0.709	2.16E-02	3	15
LNU810	0.713	2.07E-02	2	13	LNU810	0.705	2.28E-02	3	16
LNU810	0.703	2.33E-02	3	13
Table 97. Correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID” - correlation set ID according to the correlated parameters Table above. “Exp. Set” - Expression set. “R” = Pearson correlation coefficient; “P” = p value.

Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance of maintenance of performance under drought conditions across foxtail millet varieties
Gene Name	R	P value	Exp. set	Cor. Set ID	Gene Name	R	P value	Exp. set	Cor. Set ID
LNU802	0.736	1.53E-02	1	1	LNU802	0.818	3.82E-03	1	16
LNU802	0.711	2.11E-02	1	13	LNU804	0.728	2.62E-02	3	1
LNU804	0.701	3.55E-02	3	6	LNU804	0.917	7.23E-05	2	1
LNU804	0.883	3.20E-04	2	4	LNU804	0.808	2.61E-03	2	3
LNU804	0.863	6.21E-04	2	6	LNU807	0.712	1.40E-02	2	11
LNU810	0.761	1.06E-02	1	16	LNU810	0.706	2.25E-02	1	13
LNU802	0.736	1.53E-02	1	1	LNU802	0.818	3.82E-03	1	16
LNU802	0.711	2.11E-02	1	13	LNU804	0.728	2.62E-02	3	1
LNU804	0.701	3.55E-02	3	6	LNU804	0.917	7.23E-05	2	1
LNU804	0.883	3.20E-04	2	4	LNU804	0.808	2.61E-03	2	3
LNU804	0.863	6.21E-04	2	6	LNU807	0.712	1.40E-02	2	11
LNU810	0.761	1.06E-02	1	16	LNU810	0.706	2.25E-02	1	13
Table 98. Correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID “ - correlation set ID according to the correlated parameters Table above. “Exp. Set” - Expression set. “R” = Pearson correlation coefficient; “P” = p value.

Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal conditions across foxtail millet varieties
Gene Name	R	P value	Exp. set	Cor. Set ID	Gene Name	R	P value	Exp. set	Cor. Set ID
LNU801	0.752	1.22E-02	2	15	LNU802	0.711	1.42E-02	1	16
LNU802	0.740	9.19E-03	1	13	LNU803	0.704	2.30E-02	2	12
LNU804	0.703	1.59E-02	1	5	LNU804	0.748	8.11E-03	1	4
LNU804	0.779	4.76E-03	1	3	LNU805	0.748	1.29E-02	2	12
LNU806	0.814	4.13E-03	2	11	LNU807	0.765	6.06E-03	1	16
LNU807	0.713	1.38E-02	1	2	LNU809	0.786	4.09E-03	1	12
LNU809	0.811	4.42E-03	2	17	LNU801	0.703	5.17E-02	3	1
LNU801	0.783	7.38E-03	2	8	LNU801	0.823	1.21E-02	3	6
LNU801	0.759	2.90E-02	3	17	LNU801	0.744	9.00E-02	1	11
LNU801	0.832	4.00E-02	1	10	LNU801	0.810	5.07E-02	1	9
LNU801	0.787	6.31E-02	1	6	LNU802	0.756	1.13E-02	2	13
LNU802	0.764	1.01E-02	2	14	LNU802	0.904	2.09E-03	3	4
LNU802	0.878	4.14E-03	3	1	LNU802	0.817	4.70E-02	1	1
LNU802	0.844	8.46E-03	3	3	LNU802	0.764	7.68E-02	1	11
LNU802	0.890	1.75E-02	1	10	LNU802	0.863	2.68E-02	1	9
LNU802	0.866	2.57E-02	1	6	LNU803	0.833	3.94E-02	1	15
LNU803	0.800	1.72E-02	3	15	LNU804	0.886	1.88E-02	1	11
LNU804	0.837	3.77E-02	1	10	LNU804	0.834	3.91E-02	1	6
LNU804	0.717	1.09E-01	1	8	LNU805	0.774	8.66E-03	2	5
LNU804	0.844	3.47E-02	1	9	LNU805	0.828	4.18E-02	1	10
LNU805	0.722	1.83E-02	2	7	LNU805	0.778	6.84E-02	1	6
LNU805	0.938	5.71E-03	1	8	LNU806	0.838	2.47E-03	2	8
LNU805	0.726	1.03E-01	1	9	LNU806	0.733	1.60E-02	2	9
LNU806	0.793	6.19E-03	2	6	LNU806	0.715	4.63E-02	3	11
LNU806	0.700	5.30E-02	3	15	LNU806	0.741	9.19E-02	1	4
LNU806	0.818	4.65E-02	1	1	LNU806	0.985	3.40E-04	1	11
LNU806	0.854	3.02E-02	1	10	LNU806	0.936	5.93E-03	1	9
LNU806	0.902	1.40E-02	1	6	LNU807	0.765	9.98E-03	2	8
LNU807	0.766	9.71E-03	2	10	LNU807	0.823	1.20E-02	3	12
LNU807	0.806	4.89E-03	2	9	LNU807	0.816	4.77E-02	1	10
LNU807	0.750	8.57E-02	1	1	LNU807	0.810	5.07E-02	1	6
LNU807	0.709	1.14E-01	1	11	LNU808	0.725	4.19E-02	3	4
LNU807	0.803	5.44E-02	1	9	LNU808	0.871	4.83E-03	3	12
LNU808	0.766	2.65E-02	3	3	LNU808	0.955	3.05E-03	1	10
LNU808	0.716	1.09E-01	1	1	LNU808	0.902	1.38E-02	1	6
LNU808	0.867	2.53E-02	1	8	LNU809	0.706	2.25E-02	2	2
LNU808	0.881	2.06E-02	1	9	LNU809	0.823	1.21E-02	3	10
LNU809	0.828	1.11E-02	3	15	LNU809	0.930	8.08E-04	3	8
LNU809	0.856	6.71E-03	3	11	LNU809	0.885	1.91E-02	1	16
LNU809	0.981	1.74E-05	3	9	LNU809	0.770	7.31E-02	1	13
LNU809	0.872	2.37E-02	1	5	LNU810	0.722	1.85E-02	2	16
LNU809	0.792	6.03E-02	1	12	LNU810	0.724	4.22E-02	3	16
LNU810	0.785	7.20E-03	2	13	LNU810	0.707	1.16E-01	1	13
LNU810	0.722	4.31E-02	3	14	LNU810	0.792	6.04E-02	1	12
Table 99. Correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID “ - correlation set ID according to the correlated parameters Table above. “Exp. Set” - Expression set. “R” = Pearson correlation coefficient; “P” = p value.

Example 12

Gene Cloning and Generation of Binary Vectors for Plant Expression

To validate their role in improving yield, selected genes were over-expressed in plants, as follows.

Cloning Strategy

Selected genes from those presented in Examples 1-13 hereinabove were cloned into binary vectors for the generation of transgenic plants. For cloning, the full-length open reading frames (ORFs) were identified. EST clusters and in some cases mRNA sequences were analyzed to identify the entire open reading frame by comparing the results of several translation algorithms to known proteins from other plant species.

In order to clone the full-length cDNAs, reverse transcription (RT) followed by polymerase chain reaction (PCR; RT-PCR) was performed on total RNA extracted from leaves, roots or other plant tissues, growing under normal/limiting or stress conditions. Total RNA extraction, production of cDNA and PCR amplification was performed using standard protocols described elsewhere (Sambrook J., E.F. Fritsch, and T. Maniatis. 1989. Molecular Cloning. A Laboratory Manual, 2nd Ed. Cold Spring Harbor Laboratory Press, New York.) which are well known to those skilled in the art. PCR products were purified using PCR purification kit (Qiagen).

Usually, 2 sets of primers were prepared for the amplification of each gene, via nested PCR (if required). Both sets of primers were used for amplification on a cDNA. In case no product was obtained, a nested PCR reaction was performed. Nested PCR was performed by amplification of the gene using external primers and then using the produced PCR product as a template for a second PCR reaction, where the internal set of primers were used. Alternatively, one or two of the internal primers were used for gene amplification, both in the first and the second PCR reactions (meaning only 2-3 primers are designed for a gene). To facilitate further cloning of the cDNAs, an 8-12 base pairs (bp) extension was added to the 5′ of each internal primer. The primer extension includes an endonuclease restriction site. The restriction sites were selected using two parameters: (a) the restriction site does not exist in the cDNA sequence; and (b) the restriction sites in the forward and reverse primers were designed such that the digested cDNA was inserted in the sense direction into the binary vector utilized for transformation.

PCR products were digested with the restriction endonucleases (New England BioLabs Inc) according to the sites designed in the primers. Each digested/ undigested PCR product was inserted into a high copy vector pUC19 (New England BioLabs Inc], or into plasmids originating from this vector. In some cases the undigested PCR product was inserted into pCR-Blunt II-TOPO (Invitrogen) or into pJET1.2 (CloneJET PCR Cloning Kit, Thermo Scientific) or directly into the binary vector. The digested/ undigested products and the linearized plasmid vector were ligated using T4 DNA ligase enzyme (Roche, Switzerland or other manufacturers). In cases where pCR-Blunt II-TOPO is used no T4 ligase is needed.

Sequencing of the inserted genes was performed, using the ABI 377 sequencer (Applied Biosystems). In some cases, after confirming the sequences of the cloned genes, the cloned cDNA was introduced into a modified pGI binary vector containing the At6669 promoter (e.g., pQFNc) and the NOS terminator (SEQ ID NO: 4891) via digestion with appropriate restriction endonucleases.

In case of Brachypodium transformation, after confirming the sequences of the cloned genes, the cloned cDNAs were introduced into pEBbVNi (FIG. 9A) containing 35S promoter (SEQ ID NO: 4892) and the NOS terminator (SEQ ID NO:4891) via digestion with appropriate restriction endonucleases. The genes were cloned downstream to the 35S promoter and upstream to the NOS terminator.

Several DNA sequences of the selected genes were synthesized by GeneArt (Life Technologies, Grand Island, NY, USA). Synthetic DNA was designed in silico. Suitable restriction enzymes sites were added to the cloned sequences at the 5′ end and at the 3′ end to enable later cloning into the desired binary vector.

Binary vectors - The pPI plasmid vector was constructed by inserting a synthetic poly-(A) signal sequence, originating from pGL3 basic plasmid vector (Promega, GenBank Accession No. U47295; nucleotides 4658-4811) into the HindIII restriction site of the binary vector pBI101.3 (Clontech, GenBank Accession No. U12640). pGI is similar to pPI, but the original gene in the backbone is GUS-Intron and not GUS.

The modified pGI vector (e.g., pQFN, pQFNc, pQYN_6669, pQNa_RP, pQFYN or pQXNc) is a modified version of the pGI vector in which the cassette is inverted between the left and right borders so the gene and its corresponding promoter are close to the right border and the NPTII gene is close to the left border.

At6669, the new Arabidopsis thaliana promoter sequence (SEQ ID NO:4880) was inserted in the modified pGI binary vector, upstream to the cloned genes, followed by DNA ligation and binary plasmid extraction from positive E. coli colonies, as described above. Colonies were analyzed by PCR using the primers covering the insert which were designed to span the introduced promoter and gene. Positive plasmids were identified, isolated and sequenced.

pEBbVNi (FIG. 9A) is a modified version of pJJ2LB in which the Hygromycin resistance gene was replaced with the BAR gene which confers resistance to the BASTA herbicide [BAR gene coding sequence is provided in GenBank Accession No. JQ293091.1 (SEQ ID NO:5436); further description is provided in Akama K, et al. “Efficient Agrobacterium-mediated transformation of Arabidopsis thaliana using the bar gene as selectable marker”, Plant Cell Rep. 1995, 14(7):450-4; Christiansen P, et al. “A rapid and efficient transformation protocol for the grass Brachypodium distachyon”, Plant Cell Rep. 2005 Mar;23(10-11):751-8. Epub 2004 Oct 19; and Păcurar DI, et al. “A high-throughput Agrobacterium-mediated transformation system for the grass model species Brachypodium distachyon L”, Transgenic Res. 2008 17(5):965-75; each of which is fully incorporated herein by reference in its entirety]. The pEBbVNi construct contains the 35S promoter (SEQ ID NO:4892). pJJ2LB is a modified version of pCambia0305.2 (Cambia).

In case genomic DNA was cloned, the genes were amplified by direct PCR on genomic DNA extracted from leaf tissue using the DNAeasy kit (Qiagen Cat. No. 69104).

Selected genes cloned by the present inventors are provided in Table 100 below.

Gene Name	High copy plasmid	Organism	Primers used SEQ ID NOs:	Polynucleotide SEQ ID NO:	Polypeptide SEQ ID NO:
LNU749	pQFNc_LNU749	barley	5383, 4897, 5412, 4906	289	747
LNU750	pQFNc_LNU750	barley	5182, 5357, 5182, 5245	2	497
LNU751	pQFNc_LNU751	barley	5096, 5214, 5073, 5362	290	498
LNU752	pUC19c_LNU752	barley	5087, 5232, 5087, 5232	291	748
LNU753	pQFNc_LNU753	barley	5416, 4974, 5416, 4972	292	500
LNU754	pQFNc_LNU754	barley	5067, 5338, 5067, 5338	293	501
LNU756	pQFNc_LNU756	barley	5019, 5321, 5164, 5326	294	502
LNU757	pQFNc_LNU757	barley	5088, 5273, 5137, 5257	295	503
LNU758	pMA-RQ_LNU758_GA			296	504
LNU759	pQFNc_LNU759	barley	5392, 4949, 5402, 4976	297	505
LNU760_H1	pQFNc_LNU760_H1	brachypodium	5043, 5359, 5043, 5359	491	708
LNU761	pUC19c_LNU761	barley	5373, 4954, 5373, 4962	298	507
LNU762	pQFNc_LNU762	barley	5371, 4898, 5391, 4912	299	508
LNU763	pQFNc_LNU763	barley	5149, 5349, 5026, 5228	300	509
LNU764	pUC19c_LNU764	barley	5396, 4899, 5396, 4913	301	510
LNU766	pUC19c_LNU766	barley	5125, 4965, 5125, 4965	302	749
LNU767	pMA_LNU767_GA			303	512
LNU768	pQFNc_LNU768	barley	5146, 5345, 5146, 5332	304	513
LNU769	pUC19c_LNU769	barley	4929, 4987, 4929, 4989	305	750
LNU770	pQFNc_LNU770	barley	5201, 5316, 5061, 5240	306	515
LNU771	pQFNc_LNU771	barley	5175, 5242, 5175, 5242	307	516
LNU772	TopoB_LNU772	barley	5107, 5351, 5107, 5285	308	517
LNU773	TopoB_LNU773	barley	5165, 4960, 5165, 4960	309	751
LNU774	pQFNc_LNU774	barley	4928, 4943, 4928, 4943	310	519
LNU775	pQFNc_LNU775	barley	5389, 5183, 5389, 5183	311	520
LNU776	pUC19_LNU776	barley	5075, 5266, 5085, 5266	312	752
LNU777	pQFNc_LNU777	barley	5174, 5205, 5174, 5205	313	522
LNU778	pMK-RQ_LNU778_GA			314	523
LNU779	pQFNc_LNU779	barley	5428, 4902, 5403, 4895	315	524
LNU780	pQFNc_LNU780	barley	5098, 5354, 5098, 5354	316	753
LNU781	pMA-RQ_LNU781_GA			317	526
LNU782	pQFNc_LNU782	barley	5415, 4996, 5415, 4996	318	527
LNU783	pQFNc_LNU783	barley	5103, 5212, 5160, 5238	319	528
LNU784	pQFNc_LNU784	barley	5143, 5243, 5143, 5243	320	754
LNU785	TopoB_LNU785	barley	5111, 5246, 5056, 5282	321	530
LNU786	TopoB_LNU786	barley	5082, 5010, 5082, 5000	322	755
LNU787	pMA-RQ_LNU787_GA			323	532
LNU788	pQFNc_LNU788	brachypodium	5184, 5310, 5153, 5227	324	756
LNU789	pQFNc_LNU789	brachypodium	5409, 5001, 5414, 5013	325	534
LNU790	pQFNc_LNU790	brachypodium	5101, 5237, 5101, 5237	326	535
LNU791	pQFNc_LNU791	brachypodium	5080, 5203, 5080, 5203	327	536
LNU792	pQFNc_LNU792	brachypodium	5055, 5003, 5018, 5006	328	537
LNU793	pUC19c_LNU793	brachypodium	5144, 5253, 5023, 5343	329	538
LNU794	pMA-T_LNU794_GA			330	539
LNU795	pQFNc_LNU795	brachypodium	5119, 5234, 5119, 5234	331	757
LNU796	pQFNc_LNU796	brachypodium	5400, 4971, 5400, 4971	332	541
LNU797	pQFNc_LNU797	brachypodium	5148, 5358, 5123, 5287	333	542
LNU798	pMA-RQ_LNU798_GA			334	543
LNU799	pQFNc_LNU799	Brachypodiums distachyon ND	5390, 5028, 5390, 5028	335	544
LNU800	pQFNc_LNU800	brachypodium	5063, 5337, 5069, 5236	336	545
LNU801	pUC19d_LNU801	foxtail millet	5002, 4923, 5002, 4930	337	546
LNU802	pUC19c_LNU802	foxtail millet	5186, 5344, 5186, 5262	338	547
LNU803	pQFNc_LNU803	foxtail millet	5092, 5218, 5052, 5356	339	548
LNU804	pUC19c_LNU804	foxtail millet	5062, 5215, 5131, 5292	340	758
LNU805	pQFNc_LNU805	foxtail millet	5395, 4893, 5431, 4900	341	550
LNU806	pQFNc_LNU806	foxtail millet	5401, 4940, 5376, 4975	342	759
LNU807	pUC19c_LNU807	foxtail millet	4926, 4907, 4927, 4911	343	552
LNU808	pQFNc_LNU808	foxtail millet	5124, 5366, 5099, 5221	344	553
LNU809	pQFNc_LNU809	foxtail millet	5033, 5275, 5033, 5275	345	760
LNU811	pUC19c_LNU811	maize	5021, 5259, 5021, 5259	346	556
LNU813	pQFNc_LNU813	maize	5387, 4968, 5387, 4968	347	557
LNU814	pMA-RQ_LNU814_GA			348	558
LNU815	pQFNc_LNU815	maize	5115, 5334, 5158, 5335	349	559
LNU816	pUC19c_LNU816	maize	4916, 4937, 4918, 4932	350	761
LNU817	pQFNc_LNU817	maize	5135, 5244, 5135, 5244	351	762
LNU818	TopoB_LNU818	maize	5369, 5077, 5372, 5138	352	763
LNU819	pQFNc_LNU819	maize	5038, 5283, 5038, 5283	353	563
LNU820	pQFNc_LNU820	maize	5150, 5249, 5150, 5249	354	564
LNU821	TopoB_LNU821	maize	5393, 5104, 5393, 5104	355	764
LNU822	pMA-T_LNU822_GA			356	566
LNU823	pQFNc_LNU823	maize	5042, 5339, 5095, 5225	357	567
LNU824	pQFNc_LNU824	maize	5051, 5361, 5051, 5361	358	765
LNU825	pQFNc_LNU825	maize	5079, 5324, 5079, 5324	359	766
LNU828	pQFNc_LNU828	maize	5426, 4981, 5426, 4981	360	570
LNU829	pQFNc_LNU829	maize	5024, 5217, 5059, 5220	361	767
LNU830	TopoB_LNU830	maize	5004, 4985, 5004, 4985	362	572
LNU831	pQFNc_LNU831	maize	5118, 5226, 5142, 5224	363	768
LNU832_H2	pQFNc_LNU832_H2	sorghum	5418, 5083, 5418, 5083	492	709
LNU833	pUC19c_LNU833	maize	5110, 5250, 5025, 5223	364	769
LNU834_H1	pMA-RQ_LNU834_H1_GA			493	710
LNU835	pUC19c_LNU835	maize	5384, 5189, 5394, 5199	365	577
LNU837	TopoB_LNU837	maize	5040, 5260, 5040, 5260	366	770
LNU838	pQFNc_LNU838	maize	5434, 4956, 5434, 4956	367	579
LNU839	pQFNc_LNU839	maize	4931, 4966, 4931, 4966	368	580
LNU840	pQFNc_LNU840	maize	5020, 5261, 5020, 5308	369	581
LNU841	pQFNc_LNU841	maize	5197, 5435	370	582
LNU843	pUC19_LNU843	maize	5022, 5009, 5022, 5005	371	583
LNU844	pQFNc_LNU844	maize	4933, 4958, 4936, 4991	372	584
LNU845	TopoB_LNU845	maize	5375, 4986, 5413, 4994	373	771
LNU846	pUC19c_LNU846	maize	5058, 5286, 5162, 5269	374	586
LNU847	pUC19c_LNU847	medicago	5430, 4905, 5419, 4910	375	772
LNU848	pQFNc_LNU848	rice	5060, 5268, 5035, 5314	376	588
LNU849	pMA_LNU849_GA			377	589
LNU850	pMA_LNU850_GA			378	590
LNU851	pMA-RQ_LNU851_GA			379	591
LNU852	pMK-RQ_LNU852_GA			380	592
LNU853	TopoB_LNU853	rice	4983, 4909, 4983, 4909	381	593
LNU854	pUC19c_LNU854	rice	4935, 4973, 4938, 4979	382	594
LNU856	pUC19c_LNU856	sorghum	5198, 5241, 5198, 5241	383	595
LNU857	pQFNc_LNU857	sorghum	5070, 5350, 5070, 5208	384	773
LNU858	pUC19_LNU858	sorghum	5427, 4964, 5427, 4964	385	774
LNU859	TopoB_LNU859	sorghum	5417, 4999, 5417, 4999	495	-
LNU861_H3	pMA_LNU861_H3_GA			494	711
LNU862	TopoB_LNU862	sorghum	5422, 4957, 5406, 4970	386	599
LNU864	pQFNc_LNU864	sorghum	5140, 5336, 5017, 5309	387	600
LNU865	pUC19c_LNU865	sorghum	5181, 5346, 5181, 5346	388	601
LNU866	pQFNc_LNU866	sorghum	5151, 5307, 5185, 5363	389	775
LNU867	pUC19c_LNU867	sorghum	5045, 5353, 5045, 5353	390	603
LNU868	pQFNc_LNU868	sorghum	5084, 5333, 5159, 5291	391	604
LNU869	pQFNc_LNU869	sorghum	5170, 5272, 5170, 5289	392	605
LNU870	pUC19c_LNU870	sorghum	5108, 5322, 5132, 5204	393	606
LNU871	pUC19c_LNU871	sorghum	5404, 4955, 5404, 4955	394	607
LNU872	pQFNc_LNU872	sorghum	5177, 5248, 5048, 5231	395	608
LNU873	pUC19_LNU873	sorghum	4934, 4967, 4934, 4967	396	609
LNU874	TopoB_LNU874	sorghum	5027, 5012, 5027, 5007	397	610
LNU875	pUC19c_LNU875	sorghum	5423, 4945, 5386, 4995	398	611
LNU876	TopoB_LNU876	sorghum	5178, 5263, 5136, 5213	399	612
LNU878	pQFNc_LNU878	sorghum	5432, 5166, 5432, 5166	400	613
LNU879	pQFNc_LNU879	sorghum	5112, 5288, 5112, 5288	401	614
LNU880	pUC19c_LNU880	sorghum	5109, 5303, 5157, 5296	402	615
LNU881	pUC19c_LNU881	sorghum	4915, 5105, 4917, 5106	403	616
LNU882	pUC19c_LNU882	sorghum	4978, 4896, 4977, 4904	404	617
LNU884	pMA-RQ_LNU884_GA			405	619
LNU885	pMA_LNU885_GA			406	620
LNU886	pQFNc_LNU886	sorghum	5011, 4939, 5008, 4925	407	776
LNU887	TopoB_LNU887	sorghum	4924, 4982, 4924, 4982	408	622
LNU888	pQFNc_LNU888	sorghum	5081, 5278, 5081, 5278	409	623
LNU889	pUC19c_LNU889	sorghum	5411, 4961, 5411, 4961	410	624
LNU890	pUC19c_LNU890	sorghum	5076, 5211, 5076, 5211	411	625
LNU892	pMA-RQ_LNU892_GA			412	626
LNU893	pQFNc_LNU893	sorghum	5036, 5277, 5030, 5277	413	627
LNU894	pUC19c_LNU894	sorghum	5155, 5219, 5155, 5313	414	628
LNU895	pQFNc_LNU895	sorghum	5398, 5071, 5398, 5169	415	629
LNU896	pUC19_LNU896	sorghum	5130, 5206, 5133, 5300	416	630
LNU897	pQFNc_LNU897	sorghum	5037, 5210, 5032, 5229	417	777
LNU898	pUC19_LNU898	sorghum	5176, 4950, 5128, 4992	418	778
LNU899	pUC19_LNU899	sorghum	5195, 5348, 5113, 5355	419	633
LNU900	pQFNc_LNU900	sorghum	5086, 5270, 5086, 5270	420	779
LNU901	TopoB_LNU901	sorghum	5163, 5280	421	780
LNU902	pQFNc_LNU902	sorghum	5129, 5311, 5167, 5264	422	636
LNU903	pMK-RQ_LNU903_GA			423	637
LNU904	pUC19c_LNU904	sorghum	5368, 5057, 5421, 5188	424	781
LNU905	pUC19c_LNU905	sorghum	5029, 5235, 5091, 5319	425	639
LNU906	pQFNc_LNU906	sorghum	5154, 5325, 5050, 5274	426	782
LNU907	pQFNc_LNU907	sorghum	5377, 5360, 5377, 5360	427	783
LNU908	pQFNc_LNU908	sorghum	5397, 5065, 5382, 5041	428	642
LNU909	pUC19c_LNU909	sorghum	5424, 4998, 5407, 4941	429	784
LNU910	pQFNc_LNU910	sorghum	5200, 5279, 5200, 5279	430	644
LNU911	pUC19_LNU911	sorghum	5090, 5202, 5194, 5230	431	785
LNU912	pQFNc_LNU912	sorghum	5187, 5327, 5074, 5299	432	646
LNU913	pUC19_LNU913	sorghum	5156, 5015, 5196, 5014	433	647
LNU914	TopoB_LNU914	sorghum	4914, 4919, 4920, 4921	434	648
LNU915	pUC19c_LNU915	sorghum	5134, 5239, 5134, 5239	435	649
LNU916	TopoB_LNU916	sorghum	5180, 5276, 5190, 5290	436	650
LNU917	pQFNc_LNU917	sorghum	5168, 5347, 5121, 5233	437	651
LNU918	pUC19c_LNU918	sorghum	5381, 4980, 5381, 4980	438	652
LNU919	pMA_LNU919_GA			439	653
LNU920	pMA-RQ_LNU920_GA			440	654
LNU921	pQFNc_LNU921	sorghum	5094, 5222, 5193, 5256	441	655
LNU922	pMA-T_LNU922_GA			442	656
LNU923	pQFNc_LNU923	sorghum	5173, 5293, 5173, 5293	443	657
LNU924	pQFNc_LNU924	sorghum	5049, 5365	444	658
LNU925	pUC19c_LNU925	sorghum	5410, 5097, 5405, 5066	445	659
LNU926	pQFNc_LNU926	sorghum	5145, 5301, 5145, 5320	446	660
LNU928	pUC19c_LNU928	sorghum	5114, 5252, 5141, 5329	447	661
LNU930	pUC19c_LNU930	sorghum	5039, 5251, 5089, 5209	448	786
LNU931	pMA_LNU931_GA			449	664
LNU932	TopoB_LNU932	sorghum	5117, 5255, 5117, 5255	450	787
LNU933	pQFNc_LNU933	sorghum	5379, 5046, 5433, 5191	451	666
LNU934	pOA_LNU934_GA			452	667
LNU935	pQFNc_LNU935	sorghum	5152, 5267, 5152, 5267	453	788
LNU936	pMA-RQ_LNU936_GA			454	669
LNU938	pQFNc_LNU938	sorghum	5072, 5284, 5047, 5265	455	789
LNU940	pQFNc_LNU940	sorghum	5161, 5254, 5161, 5254	456	672
LNU941	pQFNc_LNU941	sorghum	5031, 5323, 5031, 5323	457	673
LNU942	pQFNc_LNU942	sorghum	5054, 5258	458	674
LNU943	pQFNc_LNU943	sorghum	5388, 4948, 5385, 4944	459	675
LNU944	pUC19_LNU944	sorghum	5100, 5294, 5100, 5342	460	676
LNU945	pMA-RQ_LNU945_GA			461	677
LNU946	pUC19_LNU946	sorghum	4984, 4908, 4959, 4901	462	678
LNU947	pQFNc_LNU947	sorghum	5370, 4946, 5370, 4946	463	679
LNU948	pUC19c_LNU948	sorghum	5120, 5306, 5127, 5216	464	680
LNU949	pMA-RQ_LNU949_GA			465	681
LNU950	pUC19c_LNU950	sorghum	5116, 5312, 5116, 5312	466	682
LNU951	pQFNc_LNU951	sorghum	4922, 4951, 4922, 4951	467	790
LNU952	pUC19c_LNU952	sorghum	5380, 4997, 5378, 4947	468	684
LNU953	pUC19c_LNU953	sorghum	5078, 5247, 5078, 5207	469	685
LNU954	pQFNc_LNU954	sorghum	5139, 5340, 5044, 5298	470	791
LNU955	pMA_LNU955_GA			471	687
LNU956	pQFNc_LNU956	sorghum	5429, 4993, 5425, 4952	472	792
LNU957	pMK-RQ_LNU957_GA			473	689
LNU958	pQFNc_LNU958	sorghum	5122, 5295, 5122, 5295	474	690
LNU959	pUC19c_LNU959	sorghum	5172, 5297	475	691
LNU960	pUC19_LNU960	sorghum	5147, 5304, 5034, 5331	476	692
LNU961	pOA_LNU961_GA			477	693
LNU962	pUC19_LNU962	sorghum	4988, 4894, 4990, 4903	478	694
LNU963	pUC19c_LNU963	sorghum	5420, 4942, 5408, 4963	479	695
LNU964	pMA-RQ_LNU964_GA			480	696
LNU965	pQFNc_LNU965	sorghum	5102, 5302	481	697
LNU966	TopoB_LNU966	sorghum	5068, 5328, 5192, 5330	482	698
LNU967	pUC19_LNU967	sorghum	5399, 4953, 5374, 4969	483	699
LNU968	pQFNc_LNU968	sorghum	5093, 5315	484	793
LNU970	pMA-T_LNU970_GA			485	702
LNU971	pMA-T_LNU971_GA			486	703
LNU972	TopoB_LNU972	tomato	5171, 5305, 5126, 5318	487	704
LNU975	pQFNc_LNU975	tomato	5064, 5367, 5016, 5271	488	705
LNU976	pQFNc_LNU976	wheat	5053, 5341, 5179, 5352	489	706
LNU977	pQFNc_LNU977	wheat	5281, 5364, 5281, 5317	490	794
Table 100. Provided are the names of the cloned genes, the high copy plasmids, the organism from which the gene was cloned, the primers used for cloning, and the sequence identifiers of the polynucleotides and polypeptides of the cloned genes.

Example 13

Transforming Agrobacterium Tumefaciens Cells With Binary Vectors Harboring the Polynucleotides of the Invention

The above described binary vectors were used to transform Agrobacterium cells. Two additional binary constructs, having only the At6669 or the 35S promoter, or no additional promoter were used as negative controls.

The binary vectors were introduced to Agrobacterium tumefaciens GV301 or LB4404 (for Arabidopsis) or to AGL1 (for Brachypodium) competent cells (about 10⁹ cells/mL) by electroporation. The electroporation was performed using a MicroPulser electroporator (Biorad), 0.2 cm cuvettes (Biorad) and EC-2 electroporation program (Biorad). The treated cells were cultured in LB liquid medium at 28° C. for 3 hours, then plated over LB agar supplemented with gentamycin (for Arabidopsis; 50 mg/L; for Agrobacterium strains GV301) or streptomycin (for Arabidopsis; 300 mg/L; for Agrobacterium strain LB4404); or with Carbenicillin (for Brachypodium; 50 mg/L) and kanamycin (for Arabidopsis and Brachypodium; 50 mg/L) at 28° C. for 48 hours. Abrobacterium colonies, which were developed on the selective media, were further analyzed by PCR using the primers designed to span the inserted sequence in the pPI plasmid. The resulting PCR products were isolated and sequenced to verify that the correct polynucleotide sequences of the invention are properly introduced to the Agrobacterium cells.

Example 14

Transformation of Arabidopsis Thaliana Plants With The Polynucleotides of the Invention

Arabidopsis thaliana Columbia plants (T₀ plants) were transformed using the Floral Dip procedure described by Clough and Bent, 1998 (Floral dip: a simplified method for Agrobacterium-mediated transformation of Arabidopsis thaliana. Plant J 16:735-43) and by Desfeux et al., 2000 (Female Reproductive Tissues Are the Primary Target of Agrobacterium-Mediated Transformation by the Arabidopsis Floral-Dip Method. Plant Physiol, July 2000, Vol. 123, pp. 895-904), with minor modifications. Briefly, T₀ Plants were sown in 250 ml pots filled with wet peat-based growth mix. The pots were covered with aluminum foil and a plastic dome, kept at 4° C. for 3-4 days, then uncovered and incubated in a growth chamber at 18-24° C. under 16/8 hour light/dark cycles. The T₀ plants were ready for transformation six days before anthesis.

Single colonies of Agrobacterium carrying the binary constructs were generated as described in Examples 12-13 above. Colonies were cultured in LB medium supplemented with kanamycin (50 mg/L) and gentamycin (50 mg/L). The cultures were incubated at 28° C. for 48 hours under vigorous shaking and then centrifuged at 4000 rpm for 5 minutes. The pellets comprising the Agrobacterium cells were re-suspended in a transformation medium containing half-strength (2.15 g/L) Murashige-Skoog (Duchefa); 0.044 µM benzylamino purine (Sigma); 112 µg/L B5 Gambourg vitamins (Sigma); 5% sucrose; and 0.2 ml/L Silwet L-77 (OSI Specialists, CT) in double-distilled water, at pH of 5.7.

Transformation of T₀ plants was performed by inverting each plant into an Agrobacterium suspension, such that the above ground plant tissue was submerged for 3-5 seconds. Each inoculated T₀ plant was immediately placed in a plastic tray, then covered with clear plastic dome to maintain humidity and is kept in the dark at room temperature for 18 hours, to facilitate infection and transformation. Transformed (transgenic) plants were then uncovered and transferred to a greenhouse for recovery and maturation. The transgenic T₀ plants were grown in the greenhouse for 3-5 weeks until siliques were brown and dry. Seeds were harvested from plants and kept at room temperature until sowing.

For generating T₁ and T₂ transgenic plants harboring the genes, seeds collected from transgenic T₀ plants were surface-sterilized by soaking in 70% ethanol for 1 minute, followed by soaking in 5% sodium hypochloride and 0.05% triton for 5 minutes. The surface-sterilized seeds were thoroughly washed in sterile distilled water then placed on culture plates containing half-strength Murashige-Skoog (Duchefa); 2% sucrose; 0.8% plant agar; 50 mM kanamycin; and 200 mM carbenicylin (Duchefa). The culture plates were incubated at 4° C. for 48 hours, then transferred to a growth room at 25° C. for an additional week of incubation. Vital T₁ Arabidopsis plants were transferred to fresh culture plates for another week of incubation. Following incubation the T₁ plants were removed from culture plates and planted in growth mix contained in 250 ml pots. The transgenic plants were allowed to grow in a greenhouse to maturity. Seeds harvested from T₁ plants were cultured and grown to maturity as T₂ plants under the same conditions as used for culturing and growing the T₁ plants.

Example 15

Transformation of Brachypodium Distachyon Plants With the Polynucleotides of the Invention

Similar to the Arabidopsis model plant, Brachypodium distachyon has several features that recommend it as a model plant for functional genomic studies, especially in the grasses. Traits that make it an ideal model include its small genome (-160 Mbp for a diploid genome and 355 Mbp for a polyploidy genome), small physical stature, a short lifecycle, and few growth requirements. Brachypodium is related to the major cereal grain species but it is understood to be more closely related to the Triticeae (wheat, barley) than to the other cereals. Brachypodium, with its polyploidy accessions, can serve as an ideal model for these grains (whose genomics size and complexity is a major barrier to biotechnological improvement).

Brachypodium distachyon embryogenic calli were transformed using the procedure described by Vogel and Hill (2008) [High-efficiency Agrobacterium-mediated transformation of Brachypodium distachyon inbred line Bd21-3. Plant Cell Rep 27:471-478], Vain et al (2008) [Agrobacterium-mediated transformation of the temperate grass Brachypodium distachyon (genotypeBd21) for T-DNA insertional mutagenesis. Plant Biotechnology J 6: 236-245], and Vogel J, et al. (2006) [Agrobacterium mediated transformation and inbred line development in the model grass Brachypodium distachyon. Plant Cell Tiss Org. Cult. 85:199-211], each of which is fully incorporated herein by reference, with some minor modifications, which are briefly summarized hereinbelow.

Callus initiation - Immature spikes (about 2 months after seeding) were harvested at the very beginning of seeds filling. Spikes were then husked and surface sterilized with 3% NaClO containing 0.1% Tween 20, shaked on a gyratory shaker at low speed for 20 minutes. Following three rinses with sterile distilled water, embryos were excised under a dissecting microscope in a laminar flow hood using fine forceps.

Excised embryos (size ~0.3 mm, bell shaped) were placed on callus induction medium (CIM) [LS salts (Linsmaier, E. M. & Skoog, F. 1965. Physiol. Plantarum 18, 100) and vitamins plus 3% sucrose, 6 mg/L CuSO₄, 2.5 mg/1 2,4-Dichlorophenoxyacetic Acid, pH 5.8 and 0.25% phytagel (Sigma)] scutellar side down, 100 embryos on a plate, and incubated at 28° C. in the dark. One week later, the embryonic calli was cleaned from emerging roots, shoots and somatic calli, and was subcultured onto fresh CIM medium. During culture, yellowish embryogenic callus (EC) appeared and were further selected (e.g., picked and transferred) for further incubation in the same conditions for additional 2 weeks. Twenty-five pieces of sub-cultured calli were then separately placed on 90 X 15 mm petri plates, and incubated as before for three additional weeks.

Transformation - As described in Vogel and Hill (2008, Supra), Agrobacterium was scraped off 2-day-old MGL plates (plates with the MGL medium which contains: Tryptone 5 g/l,Yeast Extract 2.5 g/1, NaCl 5 g/1, D-Mannitol 5 g/1, MgSO₄*7H₂O 0.204 g/1, K₂HPO₄ 0.25 g/1, Glutamic Acid 1.2 g/1, Plant Agar 7.5 g/1) and resuspended in liquid MS medium supplemented with 200 µM acetosyringone to an optic density (OD) at 600 nm (OD₆₀₀) of 0.6. Once the desired OD was attained, 1 ml of 10% Synperonic PE/F68 (Sigma) per 100 ml of inoculation medium was added.

To begin inoculation, 300 callus pieces were placed in approximately 12 plates (25 callus pieces in each plate) and covered with the Agrobacterium suspension (8-8.5 ml). The callus was incubated in the Agrobacterium suspension for 15 minutes with occasional gentle rocking. After incubation, the Agrobacterium suspension was aspirated off and the calli were then transferred into co-cultivation plates, prepared by placing a sterile 7-cm diameter filter paper in an empty 90 X 15 mm petri plate. The calli pieces were then gently distributed on the filter paper. One co-cultivation plate was used for two starting callus plates (50 initial calli pieces). The co-cultivation plates were then sealed with parafilm and incubated at 22° C. in the dark for 3 days.

The callus pieces were then individually transferred onto CIM medium as described above, which was further supplemented with 200 mg/1 Ticarcillin (to kill the Agrobacterium) and Bialaphos (5 mg/L) (for selection of the transformed resistant embryogenic calli sections), and incubated at 28° C. in the dark for 14 days.

The calli pieces were then transferred to shoot induction media (SIM; LS salts and vitamins plus 3% Maltose monohydrate) supplemented with 200 mg/1 Ticarcillin, Bialaphos (5 mg/L), Indol-3-acetic acid (IAA) (0.25 mg/L), and 6-Benzylaminopurine (BAP) (1 mg/L), and were sub-cultured in light to the same media after 10 days (total of 20 days). At each sub-culture all the pieces from a single callus were kept together to maintain their independence and were incubated under the following conditions: lighting to a level of 60 lE m-2 s-1, a 16-h light, 8-h dark photoperiod and a constant 24° C. temperature. Plantlets emerged from the transformed calli.

When plantlets were large enough to handle without damage, they were transferred to plates containing the above mentioned shoot induction media (SIM) without Bialaphos. Each plantlet was considered as a different event. The plantlets grew axillary tillers and eventually became bushy. Each bush from the same plant (event ID) was then divided to tissue culture boxes (“Humus”) containing “rooting medium” [MS basal salts, 3% sucrose, 3 g/L phytagel, 2 mg/1 α-Naphthalene Acetic Acid (NAA) and 1 mg/L IAA and Ticarcillin 200 mg/L, PH 5.8). All plants in a “Humus box” were different plants of the same transformation event.

When plantlets established roots they were transplanted to soil and transferred to a greenhouse. To verify the transgenic status of plants containing the other constructs, T0 plants were subjected to PCR as previously described by Vogel et al. 2006 [Agrobacterium mediated transformation and inbred line development in the model grass Brachypodium distachyon. Plant Cell Tiss Org. Cult. 85:199-211].

Example 16

Evaluating Transgenic Arabidopsis Nue Under Low or Normal Nitrogen Conditions Using Seedling Assays

Assay 1: Plant Growth Under Low and Favorable Nitrogen Concentration Levels

Surface sterilized seeds were sown in basal media [50% Murashige-Skoog medium (MS) supplemented with 0.8% plant agar as solidifying agent] in the presence of Kanamycin (used as a selecting agent). After sowing, plates were transferred for 2-3 days for stratification at 4° C. and then grown at 25° C. under 12-hour light 12-hour dark daily cycles for 7 to 10 days. At this time point, seedlings randomly chosen were carefully transferred to plates containing ½ MS media (15 mM N) for the normal nitrogen concentration treatment and 0.30 mM nitrogen for the low nitrogen concentration treatments. For experiments performed in T₂ lines, each plate contained 5 seedlings of the same transgenic event, and 3-4 different plates (replicates) for each event. For each polynucleotide of the invention at least four-five independent transformation events were analyzed from each construct. For experiments performed in T₁ lines, each plate contained 5 seedlings of 5 independent transgenic events and 3-4 different plates (replicates) were planted. In total, for T₁ lines, 20 independent events were evaluated. Plants expressing the polynucleotides of the invention were compared to the average measurement of the control plants (empty vector or GUS reporter gene under the same promoter) used in the same experiment.

Digital imaging - A laboratory image acquisition system, which consists of a digital reflex camera (Canon EOS 300D) attached with a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which includes 4 light units (4 x 150 Watts light bulb) and located in a darkroom, is used for capturing images of plantlets sawn in agar plates.

The image capturing process was repeated every 3-4 days starting at day 1 till day 10 (see for example the images in FIGS. 3A-3B). An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program - ImageJ 1.39 [Java based image processing program which was developed at the U.S. National Institutes of Health and freely available on the internet at rsbweb (dot) nih (dot) gov/]. Images are captured in resolution of 10 Mega Pixels (3888 x 2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Seedling analysis - Using the digital analysis seedling data was calculated, including leaf area, root coverage and root length.

The relative growth rate for the various seedling parameters was calculated according to the following Formulas XIII (Relative growth rate of leaf area) and VI (Relative growth rate of root length).

At the end of the experiment, plantlets were removed from the media and weighed for the determination of plant fresh weight. Plantlets were then dried for 24 hours at 60° C., and weighed again to measure plant dry weight for later statistical analysis. Growth rate was determined by comparing the leaf area coverage, root coverage and root length, between each couple of sequential photographs, and results were used to resolve the effect of the gene introduced on plant vigor under optimal conditions. Similarly, the effect of the gene introduced on biomass accumulation, under optimal conditions, was determined by comparing the plants’ fresh and dry weight to that of control plants (containing an empty vector or the GUS reporter gene under the same promoter). From every construct created, 3-5 independent transformation events are examined in replicates.

Statistical analyses - To identify genes conferring significantly improved plant vigor or enlarged root architecture, the results obtained from the transgenic plants were compared to those obtained from control plants. To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. To evaluate the effect of a gene event over a control the data was analyzed by Student’s t-test and the p value was calculated. Results were considered significant if p ≤ 0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, NC, USA).

Experimental Results

The genes presented in the following Tables were cloned under the regulation of a constitutive promoter (At6669). Evaluation of the effect of transformation in a plant of each gene was carried out by testing the performance of different number of transformation events. Some of the genes were evaluated in more than one seedling assay. The results obtained in these second experiments were significantly positive as well. Event with p-value <0.1 was considered statistically significant.

The genes presented in Tables 101-104 showed a significant improvement in plant NUE since they produced larger plant biomass (plant fresh and dry weight; leaf area, root length and root coverage) in T2 generation (Tables 101-102) or T1 generation (Tables 103-104) when grown under limiting nitrogen growth conditions, compared to control plants that were grown under identical growth conditions. Plants producing larger root biomass have better possibilities to absorb larger amount of nitrogen from soil.

Genes showing improved plant performance at nitrogen deficient conditions (T2 generation)
Gene Name	Event #	Dry Weight [mg]	Fresh Weight [mg]
Ave.	P-Val.	% Incr.	Ave.	P- Val.	% Incr.
LNU938	80352.1	5.65	L	46	117.0	0.24	68
LNU938	80353.1	-	-	-	103.8	0.04	49
LNU938	80355.5	5.40	0.18	40	90.1	0.22	29
LNU910	80350.1	5.03	0.17	30	103.2	0.09	48
LNU869	80083.3	5.75	L	49	86.0	0.21	23
LNU869	80084.4	5.35	0.10	39	-	-	-
LNU869	80085.2	4.62	0.27	20	-	-	-
LNU869	80085.3	5.15	0.03	34	85.8	0.23	23
LNU840	78676.4	-	-	-	84.8	0.26	22
LNU837	79574.5	4.60	0.26	19	-	-	-
LNU837	79574.7	4.98	0.04	29	91.5	0.17	31
LNU771	80077.2	5.28	0.02	37	85.8	0.06	23
LNU771	80079.3	-	-	-	103.7	0.14	49
CONT.	-	3.86	-	-	69.7	-	-
LNU964	80552.4	4.77	0.04	14	94.8	0.29	19
LNU964	80552.6	5.05	0.01	20	103.2	0.06	30
LNU957	80437.1	5.95	L	42	95.0	0.14	20
LNU957	80437.6	5.28	0.29	26	99.7	0.05	26
LNU953	80428.1	5.62	0.05	34	115.3	0.15	45
LNU952	78218.3	-	-	-	104.1	0.14	31
LNU920	78510.1	5.40	0.08	29	105.0	L	32
LNU914	80514.5	5.50	0.02	31	86.1	0.14	8
LNU911	80420.5	-	-	-	98.4	0.29	24
LNU911	80424.2	5.15	0.03	23	127.8	0.09	61
LNU903	80417.6	-	-	-	98.2	0.01	24
LNU901	80474.5	4.62	0.28	10	-	-	-
LNU901	80476.4	4.85	0.18	15	-	-	-
LNU897	80448.3	5.40	0.20	29	99.0	0.03	25
LNU897	80449.1	4.70	0.10	12	-	-	-
LNU892	80410.1	-	-	-	98.8	0.10	24
LNU892	80412.1	4.85	0.13	15	96.0	0.17	21
LNU884	80407.1	6.17	0.02	47	116.2	L	46
LNU884	80407.5	4.88	0.22	16	-	-	-
LNU872	77724.7	5.15	0.13	23	99.7	L	26
LNU872	77725.4	5.10	0.11	21	90.4	0.05	14
LNU869	80084.3	5.30	L	26	93.6	0.05	18
LNU869	80084.4	5.53	0.02	32	114.5	L	44
LNU866	80443.5	5.17	0.09	23	-	-	-
LNU866	80444.2	5.07	0.09	21	-	-	-
LNU844	80342.1	4.55	0.17	8	-	-	-
LNU844	80344.2	5.05	0.21	20	95.6	0.12	20
LNU834_H1	80402.7	5.38	0.17	28	112.4	0.08	42
LNU791	77893.1	5.05	0.08	20	-	-	-
LNU749	80793.5	-	-	-	95.5	0.21	20
CONT.	-	4.20	-	-	79.4	-	-
LNU975	80622.1	5.33	0.02	27	-	-	-
LNU975	80624.3	5.00	0.07	19	-	-	-
LNU819	78133.3	5.53	0.02	32	89.4	0.11	12
LNU817	80596.2	4.68	0.19	12	-	-	-
LNU801	78584.7	4.93	0.04	18	-	-	-
LNU800	77896.2	6.38	L	52	127.4	0.22	60
LNU794	78522.1	5.22	0.08	25	-	-	-
LNU760_H1	80127.4	4.88	0.12	16	87.1	0.16	9
CONT.	-	4.19	-	-	79.9	-	-
LNU971	78395.1	-	-	-	92.1	0.13	32
LNU971	78395.5	-	-	-	94.8	0.21	36
LNU944	79779.3	4.07	0.27	14	-	-	-
LNU944	79781.6	-	-	-	98.0	0.11	41
LNU931	79774.5	3.92	0.28	10	-	-	-
LNU930	79770.5	4.88	0.03	36	-	-	-
LNU930	79772.1	3.98	0.11	11	-	-	-
LNU928	78211.4	4.50	0.16	26	94.9	0.18	36
LNU928	78215.4	4.28	0.03	19	-	-	-
LNU917	77498.2	4.42	0.09	24	88.8	0.24	28
LNU917	77500.1	4.55	0.01	27	-	-	-
LNU906	79219.6	-	-	-	87.2	0.17	25
LNU904	78987.1	-	-	-	115.6	0.29	66
LNU904	78987.2	4.33	0.01	21	-	-	-
LNU874	78369.1	-	-	-	85.5	0.12	23
LNU870	78501.1	4.53	0.01	26	-	-	-
LNU870	78505.1	4.12	0.06	15	104.9	0.11	51
LNU870	78505.7	4.22	0.14	18	97.9	0.29	41
LNU867	79589.3	4.40	0.03	23	-	-	-
LNU862	79757.1	4.45	0.08	24	76.6	0.22	10
LNU856	79753.3	-	-	-	80.9	0.14	16
LNU856	79753.5	4.65	0.21	30	97.0	0.20	39
LNU829	77912.5	4.38	0.11	22	114.0	0.26	64
LNU825	77716.4	4.03	0.20	13	-	-	-
LNU796	78235.7	4.35	0.27	22	-	-	-
LNU792	79161.2	4.33	L	21	-	-	-
LNU792	79215.1	4.15	0.14	16	-	-	-
LNU763	77588.7	-	-	-	97.1	0.26	39
LNU758	79739.5	4.00	0.18	12	-	-	-
LNU758	79740.3	-	-	-	99.3	0.29	43
CONT.	-	3.58	-	-	69.6	-	-
LNU955	80432.7	5.25	0.02	35	-	-	-
LNU953	80428.1	-	-	-	84.9	0.17	25
LNU949	80557.1	-	-	-	83.8	0.05	24
LNU949	80557.4	-	-	-	77.9	0.23	15
LNU901	80474.2	4.70	0.16	21	86.9	0.20	28
LNU901	80474.3	4.70	0.09	21	98.7	0.04	46
LNU901	80476.4	4.33	0.29	11	-	-	-
LNU892	80414.5	-	-	-	80.2	0.25	19
LNU866	80444.6	4.47	0.21	15	87.8	0.11	30
LNU843	78963.5	-	-	-	79.5	0.27	17
LNU834_H1	80402.3	-	-	-	80.6	0.12	19
LNU834_H1	80402.7	-	-	-	75.9	0.24	12
LNU798	79671.4	-	-	-	86.8	0.20	28
LNU798	79673.2	-	-	-	80.9	0.24	20
LNU787	80547.5	4.97	0.12	27	93.0	L	37
LNU766	78932.1	4.60	0.04	18	100.7	0.13	49
CONT.	-	3.90	-	-	67.7	-	-
LNU844	80344.2	-	-	-	94.6	0.13	18
CONT.	-	-	-	-	80.2	-	-
Table 101: “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant.

Genes showing improved plant performance at nitrogen deficient conditions (T2 generation)
Gene Name	Event #	Leaf Area [cm2]	Roots Coverage [cm2]	Roots Length [cm]
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU954	80358.5	0.434	0.02	21	10.8	0.06	40	7.19	L	16
LNU938	80352.1	-	-	-	12.4	L	60	6.92	0.02	12
LNU938	80353.1	0.440	L	22	10.2	0.01	32	7.48	L	21
LNU938	80355.5	0.400	0.18	11	12.8	0.25	66	7.22	0.05	17
LNU910	80346.1	-	-	-	-	-	-	6.80	0.28	10
LNU910	80348.1	0.403	0.08	12	-	-	-	6.82	0.04	11
LNU910	80350.1	0.461	0.02	28	11.3	0.09	47	7.18	L	16
LNU869	80083.3	-	-	-	13.0	0.16	69	7.16	L	16
LNU869	80084.3	0.424	0.09	18	10.3	L	33	6.55	0.23	6
LNU869	80084.4	0.404	0.28	12	9.92	0.16	28	-	-	-
LNU869	80085.2	0.414	0.14	15	-	-	-	-	-	-
LNU869	80085.3	0.477	L	33	13.9	0.02	80	7.69	L	25
LNU840	78676.4	0.456	L	27	-	-	-	6.82	0.28	11
LNU840	78677.1	0.415	0.08	15	8.73	0.18	13	-	-	-
LNU840	78763.2	-	-	-	9.27	0.09	20	-	-	-
LNU840	78763.6	0.432	0.11	20	-	-	-	-	-	-
LNU837	79574.5	0.433	0.09	20	11.2	0.17	44	-	-	-
LNU837	79574.7	0.434	0.02	21	10.6	0.03	38	7.16	0.02	16
LNU837	79575.2	-	-	-	-	-	-	6.54	0.18	6
LNU837	79575.4	0.437	0.19	21	-	-	-	-	-	-
LNU771	80077.2	0.490	L	36	12.9	L	67	7.53	L	22
LNU771	80078.5	0.398	0.22	11	8.87	0.18	15	6.58	0.23	7
LNU771	80079.3	0.495	L	37	-	-	-	7.16	0.22	16
LNU771	80079.4	0.459	L	28	10.0	0.19	30	6.89	0.03	12
CONT.	-	0.360	-	-	7.72	-	-	6.17	-	-
LNU964	80552.4	0.460	0.05	8	12.5	L	39	7.62	0.11	11
LNU964	80552.6	0.514	0.10	21	12.2	0.11	35	8.16	L	19
LNU957	80437.1	0.478	0.16	13	11.8	L	30	7.34	0.19	7
LNU957	80437.6	-	-	-	-	-	-	7.61	0.05	11
LNU953	80428.1	0.467	0.26	10	10.9	0.02	20	7.32	0.15	7
LNU920	78509.5	-	-	-	10.8	0.05	19	7.70	0.04	12
LNU920	78510.1	-	-	-	10.7	0.17	18	7.66	0.02	12
LNU911	80420.5	-	-	-	10.8	0.26	19	7.50	0.09	9
LNU911	80424.2	0.493	0.03	16	11.8	0.19	31	7.51	0.04	10
LNU910	80350.1	-	-	-	-	-	-	7.20	0.20	5
LNU903	80417.6	-	-	-	10.7	0.11	18	7.36	0.10	7
LNU901	80474.3	-	-	-	10.6	0.17	17	-	-	-
LNU901	80476.4	0.450	0.29	6	10.9	0.27	20	7.38	0.07	8
LNU897	80448.3	-	-	-	11.1	0.22	23	-	-	-
LNU897	80449.1	-	-	-	10.8	0.14	20	7.50	0.05	9
LNU892	80412.1	-	-	-	12.5	0.07	39	7.57	0.04	10
LNU884	80407.1	0.481	0.07	13	15.0	0.05	66	7.46	0.07	9
LNU872	77724.7	-	-	-	-	-	-	7.52	0.08	10
LNU872	77725.6	-	-	-	-	-	-	7.24	0.20	6
LNU869	80084.4	0.481	0.27	13	15.0	L	66	8.19	L	19
LNU866	80443.5	0.464	0.07	9	-	-	-	-	-	-
LNU844	80341.2	-	-	-	-	-	-	7.31	0.22	7
LNU844	80342.1	0.457	0.23	8	11.6	0.06	29	7.54	0.13	10
LNU844	80342.4	-	-	-	10.1	0.19	11	7.21	0.20	5
LNU844	80344.2	-	-	-	11.3	0.06	25	7.64	0.08	12
LNU834_H1	80402.7	0.499	L	18	12.9	0.09	43	7.77	0.01	13
LNU805	80784.1	-	-	-	-	-	-	7.37	0.18	8
LNU773	80398.1	-	-	-	10.7	0.13	19	-	-	-
LNU749	80793.5	-	-	-	11.9	0.09	32	7.82	0.02	14
CONT.	-	0.424	-	-	9.05	-	-	6.85	-	-
LNU956	80856.3	0.372	0.21	12	8.68	0.23	20	7.25	0.29	7
LNU818	80919.1	-	-	-	-	-	-	7.21	0.09	6
CONT.	-	0.334	-	-	7.23	-	-	6.79	-	-
LNU975	80622.1	0.400	0.16	15	-	-	-	-	-	-
LNU975	80624.3	0.375	0.17	7	7.86	L	18	7.03	L	14
LNU832_H2	80605.6	0.407	0.02	17	8.29	0.12	25	6.82	L	11
LNU819	78133.3	0.405	0.07	16	9.58	0.01	44	6.60	L	7
LNU817	80596.2	-	-	-	7.47	0.19	12	-	-	-
LNU801	78584.7	-	-	-	7.34	0.04	11	-	-	-
LNU801	78585.5	-	-	-	7.32	0.09	10	-	-	-
LNU801	78585.7	0.427	0.09	22	8.56	0.07	29	6.47	0.26	5
LNU800	77896.2	0.433	L	24	10.00	0.02	51	-	-	-
LNU799	78672.5	-	-	-	7.39	0.24	11	-	-	-
LNU794	78522.1	-	-	-	8.83	0.21	33	6.69	0.08	9
LNU760_H1	80127.4	0.378	0.17	8	9.25	0.06	39	6.45	0.30	5
LNU760_H1	80130.1	-	-	-	7.87	0.09	19	-	-	-
LNU760_H1	80130.4	-	-	-	8.15	0.01	23	6.38	0.16	4
CONT.	-	0.350	-	-	6.64	-	-	6.14	-	-
LNU971	78393.3	-	-	-	-	-	-	7.22	0.14	7
LNU971	78395.2	-	-	-	-	-	-	7.06	0.21	5
LNU971	78395.5	0.486	0.05	19	-	-	-	7.11	0.19	5
LNU931	79774.1	-	-	-	-	-	-	7.25	0.07	7
LNU930	79770.5	-	-	-	10.3	0.30	10	7.15	0.16	6
LNU930	79772.5	-	-	-	11.8	0.02	26	7.10	0.24	5
LNU928	78211.4	0.442	0.15	8	11.0	0.18	17	7.40	0.01	10
LNU917	77500.1	0.497	L	22	12.7	0.01	36	7.47	0.01	11
LNU904	78987.1	0.471	0.11	15	-	-	-	7.38	0.17	9
LNU904	78987.2	-	-	-	10.7	0.26	14	-	-	-
LNU904	78989.1	-	-	-	-	-	-	7.04	0.16	4
LNU899	79765.4	-	-	-	10.4	0.21	11	7.57	L	12
LNU899	79765.5	-	-	-	-	-	-	7.26	0.03	8
LNU874	78369.1	0.460	0.08	13	-	-	-	7.15	0.16	6
LNU870	78501.1	0.441	0.16	8	12.1	0.14	29	7.23	0.12	7
LNU870	78505.7	0.474	0.09	16	-	-	-	-	-	-
LNU867	79589.3	-	-	-	14.0	0.05	49	7.27	0.27	8
LNU867	79590.5	-	-	-	-	-	-	7.08	0.24	5
LNU862	79755.9	-	-	-	12.7	0.09	36	7.39	0.02	10
LNU862	79757.1	0.447	0.18	9	12.5	0.04	33	7.29	0.04	8
LNU856	79753.3	0.481	0.13	18	12.3	0.02	31	7.93	L	18
LNU829	77912.3	-	-	-	-	-	-	7.16	0.27	6
LNU829	77912.5	0.455	0.24	11	10.1	0.28	8	7.44	L	10
LNU829	77914.1	-	-	-	-	-	-	7.18	0.07	6
LNU829	77914.2	-	-	-	-	-	-	7.51	L	11
LNU796	78234.5	-	-	-	-	-	-	7.31	0.04	8
LNU796	78235.7	-	-	-	-	-	-	7.44	0.10	10
LNU792	79161.2	0.499	0.03	22	11.3	0.08	21	7.29	0.03	8
LNU792	79215.3	0.469	0.21	15	-	-	-	7.16	0.08	6
LNU763	77588.1	-	-	-	10.5	0.28	11	-	-	-
LNU763	77588.6	0.459	0.14	12	-	-	-	-	-	-
LNU753	77143.3	-	-	-	-	-	-	7.38	0.02	9
CONT.	-	0.409	-	-	9.38	-	-	6.75	-	-
LNU955	80432.7	-	-	-	-	-	-	6.81	0.27	17
LNU953	80428.1	0.458	0.06	11	9.88	0.04	32	6.52	0.07	12
LNU949	80557.1	-	-	-	9.85	0.05	32	6.31	0.15	9
LNU949	80557.2	0.468	0.10	13	8.31	0.29	11	-	-	-
LNU949	80557.4	-	-	-	9.07	0.10	21	-	-	-
LNU901	80474.2	0.525	0.10	27	10.4	0.09	39	7.03	0.02	21
LNU901	80476.4	0.454	0.25	9	10.5	0.10	40	6.40	0.15	10
LNU892	80410.1	-	-	-	9.13	0.03	22	6.37	0.09	10
LNU892	80414.7	-	-	-	9.87	0.11	32	-	-	-
LNU873	80473.6	-	-	-	12.1	0.17	61	6.45	0.26	11
LNU866	80444.6	0.467	0.05	13	9.26	0.18	24	6.23	0.29	7
LNU834_H1	80402.1	-	-	-	9.04	0.21	21	-	-	-
LNU834_H1	80402.3	-	-	-	8.88	0.21	19	-	-	-
LNU834_H1	80402.7	-	-	-	-	-	-	6.38	0.16	10
LNU834_H1	80404.5	0.466	0.17	12	11.5	0.30	54	-	-	-
LNU798	79671.4	0.465	0.09	12	9.92	0.07	32	6.56	0.04	13
LNU798	79673.2	-	-	-	-	-	-	6.61	0.04	14
LNU787	80546.5	-	-	-	8.44	0.19	13	-	-	-
LNU787	80547.4	-	-	-	8.78	0.12	17	6.83	0.01	18
LNU787	80547.5	0.484	L	17	11.8	L	58	7.34	L	27
LNU766	78932.1	0.509	0.02	23	10.3	0.14	37	7.05	L	22
CONT.	-	0.415	-	-	7.49	-	-	5.79	-	-
LNU884	80407.5	0.490	0.23	11	11.9	0.27	17	6.99	0.23	7
LNU844	80341.2	-	-	-	12.4	0.26	23	6.90	0.25	6
LNU791	77895.4	-	-	-	11.8	0.14	17	7.07	0.05	8
CONT.	-	0.440	-	-	10.1	-	-	6.53	-	-
Table 102: CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant.

Genes showing improved plant performance at nitrogen deficient conditions (T1 generation)
Gene Name	Dry Weight [mg]	Fresh Weight [mg]
Ave.	P- Val.	% Incr.	Ave.	P- Val.	% Incr.
LNU859	5.75	0.30	19	-	-	-
CONT.	4.84	-	-	-	-	-
LNU919	5.47	0.11	21	-	-	-
LNU886	-	-	-	113.1	0.13	29
LNU859	5.65	0.07	26	-	-	-
LNU821	-	-	-	100.6	0.23	14
CONT.	4.50	-	-	88.0	-	-
LNU936	5.53	0.22	20	-	-	-
LNU786	5.87	0.02	27	-	-	-
CONT.	4.62	-	-	-	-	-
Table 103: “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment. “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant.

Genes showing improved plant performance at nitrogen deficient conditions (T1 generation)
Gene Name	Roots Coverage [cm2]	Roots Length [cm]
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU818	-	-	-	6.65	0.28	11
CONT.	-	-	-	6.00	-	-
LNU956	17.2	0.17	20	-	-	-
CONT.	14.3	-	-	-	-	-
LNU946	12.3	0.25	22	-	-	-
LNU887	12.6	0.22	25	7.14	0.16	13
LNU786	13.5	0.03	34	7.03	0.19	11
CONT.	10.1	-	-	6.34	-	-
Table 104: “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant.

The genes listed in Tables 105-106 have improved plant relative growth rate (relative growth rate of the leaf area, root coverage and root length) when grown under limiting nitrogen growth conditions compared to control plants (T2 and T1 generations) that were grown under identical growth conditions. Plants showing fast growth rate show a better plant establishment in soil under nitrogen deficient conditions. Faster growth was observed when growth rate of leaf area, root length and root coverage was measured.

Genes showing improved plant growth rate at nitrogen deficient conditions (T2 generation)
Gene Name	Event #	RGR Of Leaf Area	RGR Of Roots Coverage	RGR Of Root Length
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU954	80358.5	0.0422	0.08	22	1.29	0.01	42	0.649	0.03	22
LNU938	80352.1	-	-	-	1.48	L	63	0.640	0.03	21
LNU938	80352.2	-	-	-	-	-	-	0.613	0.08	16
LNU938	80353.1	0.0418	0.09	20	1.21	0.01	33	0.666	L	26
LNU938	80354.1	-	-	-	-	-	-	0.588	0.28	11
LNU938	80355.5	-	-	-	1.55	0.01	70	0.673	0.02	27
LNU910	80346.1	-	-	-	-	-	-	0.631	0.14	19
LNU910	80348.1	-	-	-	-	-	-	0.615	0.09	16
LNU910	80350.1	0.0445	0.04	28	1.33	0.01	47	0.646	0.03	22
LNU869	80083.3	-	-	-	1.56	L	72	0.680	0.03	28
LNU869	80084.3	0.0410	0.15	18	1.23	L	35	0.614	0.11	16
LNU869	80084.4	-	-	-	1.15	0.11	27	-	-	-
LNU869	80085.2	-	-	-	1.12	0.21	23	-	-	-
LNU869	80085.3	0.0444	0.08	28	1.66	L	82	0.673	0.05	27
LNU840	78676.4	0.0428	0.15	23	-	-	-	-	-	-
LNU840	78677.1	-	-	-	1.04	0.24	15	0.606	0.15	14
LNU840	78763.2	-	-	-	1.12	0.13	24	0.605	0.24	14
LNU840	78763.6	0.0405	0.23	17	-	-	-	0.598	0.26	13
LNU837	79574.5	-	-	-	1.35	0.02	49	0.622	0.13	17
LNU837	79574.7	0.0416	0.11	20	1.27	L	40	0.664	0.01	25
LNU837	79575.2	-	-	-	-	-	-	0.589	0.23	11
LNU837	79575.4	0.0420	0.22	21	1.13	0.19	24	-	-	-
LNU771	80077.2	0.0454	0.02	31	1.52	L	68	0.689	L	30
LNU771	80077.4	-	-	-	-	-	-	0.594	0.22	12
LNU771	80078.5	-	-	-	1.06	0.21	17	0.605	0.15	14
LNU771	80079.3	0.0451	0.07	30	1.25	0.06	38	0.656	0.08	24
LNU771	80079.4	0.0454	0.02	31	1.18	0.08	30	0.613	0.12	16
CONT.	-	0.0347	-	-	0.908	-	-	0.530	-	-
LNU964	80548.3	-	-	-	-	-	-	0.685	0.26	12
LNU964	80552.4	0.0460	0.23	13	1.49	0.01	40	0.727	0.07	19
LNU964	80552.6	0.0475	0.17	17	1.45	0.04	37	0.734	0.04	20
LNU957	80437.1	-	-	-	1.38	0.06	30	-	-	-
LNU953	80428.1	-	-	-	1.27	0.18	20	-	-	-
LNU920	78509.5	-	-	-	1.27	0.19	19	0.703	0.14	15
LNU920	78510.1	-	-	-	1.26	0.22	18	-	-	-
LNU911	80424.2	0.0463	0.23	14	1.35	0.13	27	-	-	-
LNU903	80417.6	-	-	-	1.29	0.18	21	0.693	0.18	14
LNU901	80474.3	-	-	-	1.27	0.22	19	0.709	0.15	16
LNU901	80476.4	-	-	-	1.27	0.25	19	-	-	-
LNU897	80448.3	-	-	-	1.31	0.17	23	-	-	-
LNU897	80449.1	-	-	-	1.30	0.17	22	0.696	0.17	14
LNU892	80412.1	-	-	-	1.51	0.02	42	0.701	0.15	15
LNU884	80407.1	-	-	-	1.81	L	70	-	-	-
LNU872	77724.7	-	-	-	-	-	-	0.691	0.19	13
LNU872	77725.6	-	-	-	-	-	-	0.704	0.13	15
LNU869	80084.3	-	-	-	1.26	0.28	18	-	-	-
LNU869	80084.4	0.0473	0.20	16	1.80	L	69	0.760	0.02	25
LNU844	0341.2	-	-	-	-	-	-	0.701	0.16	15
LNU844	80342.1	-	-	-	1.38	0.06	29	-	-	-
LNU844	80344.2	-	-	-	1.35	0.09	27	0.698	0.18	14
LNU834_H1	80402.7	-	-	-	1.55	0.01	46	0.765	0.02	25
LNU773	80398.1	-	-	-	1.30	0.18	22	-	-	-
LNU749	80793.5	-	-	-	1.42	0.05	33	0.722	0.08	18
CONT.	-	0.0407	-	-	1.06	-	-	0.610	-	-
LNU956	80854.3	-	-	-	1.06	0.29	21	-	-	-
LNU956	80856.3	0.0385	0.26	12	1.06	0.19	22	0.711	0.26	8
CONT.	-	0.0344	-	-	0.873	-	-	0.661	-	-
LNU975	80624.3	-	-	-	0.904	0.17	16	-	-	-
LNU832_H2	80605.6	0.0371	0.14	17	0.951	0.11	22	0.610	0.02	11
LNU819	78133.3	0.0361	0.26	14	1.12	L	44	-	-	-
LNU801	78585.7	0.0370	0.21	17	0.994	0.05	27	-	-	-
LNU800	77896.2	0.0377	0.09	19	1.18	L	51	-	-	-
LNU794	78522.1	-	-	-	1.03	0.06	31	-	-	-
LNU760_H1	80127.2	-	-	-	0.896	0.27	15	-	-	-
LNU760_H1	80127.4	-	-	-	1.08	L	37	-	-	-
LNU760_H1	80130.1	-	-	-	0.909	0.20	16	-	-	-
LNU760_H1	80130.4	-	-	-	0.964	0.05	23	0.600	0.05	10
CONT.	-	0.0317	-	-	0.782	-	-	0.548	-	-
LNU971	78395.2	-	-	-	-	-	-	0.658	0.21	10
LNU971	78395.5	0.0486	0.09	21	-	-	-	-	-	-
LNU930	79772.5	-	-	-	1.39	0.04	26	-	-	-
LNU928	78211.4	0.0470	0.14	17	1.30	0.19	18	0.672	0.13	12
LNU917	77500.1	0.0487	0.08	21	1.49	0.01	36	-	-	-
LNU904	78987.1	0.0469	0.19	17	-	-	-	-	-	-
LNU904	78987.2	0.0455	0.26	13	1.26	0.27	15	-	-	-
LNU874	78369.1	0.0481	0.09	20	-	-	-	-	-	-
LNU870	78501.1	-	-	-	1.45	0.04	32	0.659	0.25	10
LNU870	78505.7	0.0478	0.13	19	1.28	0.26	16	-	-	-
LNU867	79589.3	-	-	-	1.68	L	52	0.684	0.12	14
LNU862	79755.9	-	-	-	1.52	0.01	38	0.702	0.03	17
LNU862	79757.1	0.0463	0.20	15	1.51	0.01	37	0.696	0.06	16
LNU856	79753.3	0.0495	0.08	23	1.47	0.01	33	0.693	0.07	16
LNU856	79753.5	0.0453	0.29	13	1.31	0.21	19	-	-	-
LNU852	79580.2	-	-	-	-	-	-	0.654	0.24	9
LNU829	77912.3	-	-	-	-	-	-	0.658	0.25	10
LNU796	78234.5	0.0455	0.23	13	-	-	-	-	-	-
LNU796	78235.7	-	-	-	1.45	0.08	32	0.668	0.20	11
LNU792	79161.2	0.0485	0.09	21	1.37	0.06	24	0.680	0.10	14
LNU792	79215.1	-	-	-	-	-	-	0.665	0.17	11
LNU792	79215.3	-	-	-	1.38	0.12	26	-	-	-
LNU763	77588.1	-	-	-	1.26	0.26	15	-	-	-
LNU763	77588.8	-	-	-	-	-	-	0.706	0.04	18
LNU753	77141.2	-	-	-	1.46	0.07	32	0.666	0.21	11
CONT.	-	0.0402	-	-	1.10	-	-	0.599	-	-
LNU955	80432.7	-	-	-	1.61	0.01	78	0.669	0.22	19
LNU953	80428.1	-	-	-	1.19	0.04	31	-	-	-
LNU949	80557.1	-	-	-	1.18	0.05	30	-	-	-
LNU949	80557.2	0.0476	0.13	18	-	-	-	-	-	-
LNU949	80557.4	-	-	-	1.11	0.16	22	-	-	-
LNU914	80514.5	-	-	-	1.09	0.25	20	-	-	-
LNU901	80474.2	0.0513	0.06	27	1.24	0.03	37	-	-	-
LNU901	80474.3	-	-	-	1.10	0.23	21	-	-	-
LNU901	80476.4	-	-	-	1.27	0.03	39	0.632	0.30	12
LNU892	80410.1	-	-	-	1.11	0.09	23	0.649	0.14	15
LNU892	80414.7	-	-	-	1.21	0.05	34	-	-	-
LNU873	80473.6	-	-	-	1.44	L	59	-	-	-
LNU866	80444.6	-	-	-	1.12	0.16	24	0.643	0.25	14
LNU834_H1	80402.1	-	-	-	1.11	0.16	22	-	-	-
LNU834_H1	80402.3	-	-	-	1.08	0.20	19	-	-	-
LNU834_H1	80404.5	-	-	-	1.40	0.04	55	0.656	0.22	16
LNU798	79671.4	-	-	-	1.18	0.06	30	-	-	-
LNU798	79673.2	-	-	-	1.08	0.26	19	-	-	-
LNU787	80546.5	-	-	-	-	-	-	0.648	0.20	15
LNU787	80547.4	-	-	-	1.06	0.21	16	-	-	-
LNU787	80547.5	0.0478	0.11	18	1.41	L	56	0.686	0.08	22
LNU766	78932.1	0.0482	0.11	19	1.23	0.04	36	0.653	0.19	16
CONT.	-	0.0404	-	-	0.907	-	-	0.565	-	-
LNU884	80407.5	-	-	-	1.42	0.22	21	0.633	0.04	17
LNU872	77725.4	-	-	-	-	-	-	0.584	0.22	8
LNU844	80341.2	-	-	-	1.47	0.17	24	0.591	0.25	9
LNU791	77895.4	-	-	-	1.37	0.26	16	0.584	0.22	8
CONT.	-	-	-	-	1.18	-	-	0.541	-	-
Table 105: “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant.

Genes showing improved plant growth rate at nitrogen deficient conditions (T1 generation)
Gene Name	RGR Of Roots Coverage	RGR Of Root Length
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU818	-	-	-	0.691	0.11	14
CONT.	-	-	-	0.606	-	-
LNU956	2.09	0.13	20	-	-	-
CONT.	1.74	-	-	-	-	-
LNU946	1.51	0.20	23	-	-	-
LNU932	-	-	-	0.739	0.23	17
LNU887	1.53	0.17	25	0.722	0.18	14
LNU786	1.65	0.04	35	0.741	0.15	17
CONT.	1.22	-	-	0.635	-	-
Table 106: “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant.

The genes listed in Tables 107-110 improved plant NUE when grown at standard nitrogen concentration levels. These genes produced larger plant biomass (plant fresh and dry weight; leaf area, root coverage and roots length) when grown under standard nitrogen growth conditions compared to control plants that were grown under identical growth conditions in T2 (Tables 107-108) and T1 (Tables 109-110) generations. Larger plant biomass under these growth conditions indicates the high ability of the plant to better metabolize the nitrogen present in the medium. Plants producing larger root biomass have better possibilities to absorb larger amount of nitrogen from soil.

Genes showing improved plant performance at standard nitrogen growth conditions (T2 generation)
Gene Name	Event #	Dry Weight [mg]	Fresh Weight [mg]
Ave.	P-Val.	% Incr.	Ave.	P- Val.	% Incr.
LNU938	80355.5	6.80	0.27	16	140.0	0.21	43
LNU910	80348.5	-	-	-	129.1	0.21	32
LNU910	80350.1	7.17	0.12	23	118.7	0.18	21
LNU869	80083.3	7.10	0.09	21	142.9	0.12	46
LNU869	80084.4	10.3	0.10	77	184.2	L	88
LNU869	80085.3	8.25	0.01	41	158.8	0.02	63
LNU771	80077.2	-	-	-	170.8	L	75
LNU771	80079.3	-	-	-	123.8	0.26	27
CONT.	-	5.85	-	-	97.7	-	-
LNU964	80548.3	5.30	0.25	25	112.8	0.03	40
LNU964	80552.4	7.85	0.04	86	162.1	0.06	101
LNU964	80552.6	5.70	0.01	35	103.6	0.07	28
LNU955	80432.7	6.63	0.03	57	120.4	0.03	49
LNU953	80428.1	5.40	0.15	28	-	-	-
LNU953	80429.2	6.83	0.16	62	143.8	0.24	78
LNU949	80557.4	5.85	L	38	112.4	L	39
LNU914	80514.5	5.70	0.16	35	115.7	0.18	43
LNU901	80474.2	6.75	0.03	60	128.8	L	60
LNU901	80474.3	7.58	0.02	79	130.8	0.06	62
LNU901	80476.4	-	-	-	116.2	0.17	44
LNU892	80410.1	6.50	L	54	137.1	0.03	70
LNU892	80412.1	5.70	0.21	35	-	-	-
LNU892	80414.7	6.03	0.13	43	125.5	0.19	55
LNU873	80469.3	6.42	0.10	52	119.8	0.18	49
LNU873	80473.6	4.80	0.20	14	96.2	0.24	19
LNU866	80444.6	7.20	0.03	70	150.2	0.15	86
LNU843	78963.5	4.60	0.23	9	93.2	0.21	16
LNU834_H1	80402.1	6.35	0.14	50	116.8	0.08	45
LNU834_H1	80402.3	5.88	0.04	39	97.9	0.22	21
LNU834_H1	80404.5	6.05	0.05	43	113.1	0.03	40
LNU798	79669.1	5.67	0.12	34	102.2	0.04	27
LNU798	79671.4	-	-	-	132.5	L	64
LNU798	79673.2	5.62	0.13	33	106.7	0.14	32
LNU787	80546.5	6.68	0.04	58	126.0	0.01	56
LNU787	80547.5	6.70	0.07	59	139.7	0.01	73
LNU766	78931.1	6.05	L	43	117.1	L	45
LNU766	78931.10	7.52	L	78	129.5	0.02	60
LNU766	78932.1	5.47	0.20	30	102.8	0.03	27
CONT.	-	4.22	-	-	80.7	-	-
LNU952	78218.3	6.10	0.25	34	-	-	-
LNU952	78218.6	6.17	0.26	35	133.8	0.14	28
LNU905	79674.4	7.12	0.15	56	138.1	0.20	32
LNU897	80449.1	6.10	0.16	34	-	-	-
LNU884	80407.5	8.55	0.05	87	172.8	0.16	66
LNU872	77723.2	-	-	-	138.9	0.15	33
LNU872	77724.7	8.20	0.02	80	154.9	0.07	48
CONT.	-	4.57	-	-	104.4	-	-
Table 107: “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant.

Genes showing improved plant performance at standard nitrogen growth conditions (T2 generation)
Gene Name	Event #	Leaf Area [cm2]	Roots Coverage [cm2]	Roots Length [cm]
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU954	80360.1	0.510	0.16	9	-	-	-	-	-	-
LNU938	80355.5	0.554	0.05	19	-	-	-	-	-	-
LNU910	80348.1	0.560	0.27	20	-	-	-	-	-	-
LNU910	80348.5	0.586	L	26	-	-	-	6.83	0.26	9
LNU910	80350.1	0.620	0.02	33	7.98	0.11	22	6.97	L	11
LNU869	80083.3	0.603	0.06	29	-	-	-	-	-	-
LNU869	80084.3	0.564	0.07	21	-	-	-	-	-	-
LNU869	80084.4	0.767	L	65	-	-	-	-	-	-
LNU869	80085.3	0.656	L	41	8.85	L	36	7.14	L	14
LNU840	78676.4	0.527	0.18	13	-	-	-	6.55	0.19	5
LNU840	78677.1	0.533	0.24	14	-	-	-	-	-	-
LNU840	78763.2	0.540	0.16	16	-	-	-	-	-	-
LNU771	80077.2	0.646	0.19	38	9.56	L	47	7.19	L	15
LNU771	80079.3	0.572	0.19	23	-	-	-	-	-	-
LNU771	80079.4	0.538	0.07	15	-	-	-	-	-	-
CONT.	-	0.466	-	-	6.52	-	-	6.26	-	-
LNU964	80548.1	0.557	L	23	6.39	0.20	15	6.21	0.06	8
LNU964	80548.3	0.514	0.02	14	-	-	-	-	-	-
LNU964	80552.4	0.699	0.01	54	7.77	0.13	40	6.15	0.26	7
LNU964	80552.6	0.500	0.10	10	-	-	-	6.06	0.28	6
LNU955	80432.7	0.597	0.03	32	9.08	0.09	64	-	-	-
LNU953	80428.1	0.554	0.03	22	7.46	0.07	35	6.21	0.01	8
LNU953	80429.2	0.640	0.12	41	-	-	-	-	-	-
LNU949	80557.4	0.612	L	35	8.01	0.02	45	6.43	L	12
LNU914	80514.5	0.598	L	32	-	-	-	-	-	-
LNU914	80515.6	0.543	0.09	20	-	-	-	-	-	-
LNU901	80474.2	0.598	0.02	32	8.49	0.02	53	6.53	0.07	14
LNU901	80474.3	0.605	L	34	6.52	0.10	18	-	-	-
LNU901	80476.4	0.513	0.05	13	-	-	-	6.25	0.20	9
LNU892	80410.1	0.582	0.07	29	7.37	0.01	33	6.24	0.04	9
LNU892	80414.7	0.552	0.12	22	-	-	-	-	-	-
LNU873	80469.3	0.540	L	19	6.46	0.21	17	-	-	-
LNU873	80473.6	0.502	0.16	11	6.19	0.25	12	-	-	-
LNU866	80444.6	0.678	0.13	50	-	-	-	-	-	-
LNU834_H1	80402.1	0.597	0.03	32	8.21	0.09	48	6.67	L	16
LNU834_H1	80402.3	0.519	0.03	15	6.42	0.10	16	-	-	-
LNU834_H1	80404.5	0.588	L	30	7.17	L	30	6.30	0.21	10
LNU798	79669.1	0.517	0.02	14	-	-	-	-	-	-
LNU798	79671.4	0.681	L	51	9.55	0.29	73	6.63	0.26	16
LNU798	79673.2	0.573	0.13	27	7.55	0.29	36	6.66	0.14	16
LNU787	80546.5	0.568	0.01	26	7.62	0.19	38	6.31	0.24	10
LNU787	80547.4	-	-	-	6.11	0.29	10	6.47	0.02	13
LNU787	80547.5	0.607	0.06	34	8.87	0.03	60	6.53	0.02	14
LNU766	78931.1	0.535	0.12	18	7.02	0.09	27	-	-	-
LNU766	78931.10	0.648	0.03	43	8.84	0.01	60	6.78	0.03	18
LNU766	78932.1	0.589	0.05	30	7.38	0.17	33	6.79	0.04	19
CONT.	-	0.453	-	-	5.53	-	-	5.73	-	-
LNU952	78218.6	0.695	0.04	34	7.32	0.16	26	-	-	-
LNU920	78507.1	-	-	-	7.69	0.24	33	-	-	-
LNU920	78510.1	-	-	-	-	-	-	6.53	0.29	10
LNU905	79674.4	0.663	0.16	28	8.22	0.07	42	-	-	-
LNU905	79676.1	0.614	0.20	19	7.19	0.28	24	-	-	-
LNU897	80449.1	0.620	0.17	20	-	-	-	-	-	-
LNU884	80407.5	0.791	0.03	53	9.14	0.04	57	6.76	0.19	14
LNU872	77723.2	0.689	0.15	33	-	-	-	-	-	-
LNU872	77724.7	0.650	0.10	26	9.50	0.05	64	6.90	0.13	17
LNU791	77895.4	-	-	-	-	-	-	6.62	0.24	12
CONT.	-	0.517	-	-	5.81	-	-	5.91	-	-
Table 108: “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant.

Genes showing improved plant performance at standard nitrogen growth conditions (T1 generation)
Gene Name	Dry Weight [mg]	Fresh Weight [mg]
Ave.	P- Val.	% Incr.	Ave.	P- Val.	% Incr.
LNU919	-	-	-	139.8	0.19	15
CONT.	-	-	-	121.4	-	-
LNU956	9.90	0.18	24	-	-	-
LNU749	10.0	0.20	26	-	-	-
CONT.	7.97	-	-	-	-	-
Table 109: “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p- value is less than 0.01, p<0.1 was considered as significant.

Genes showing improved plant performance at standard nitrogen growth conditions (T1 generation)
Gene Name	Leaf Area [cm2]	Roots Coverage [cm2]	Roots Length [cm]
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU886	0.752	0.19	14	-	-	-	-	-	-
LNU821	-	-	-	6.89	0.27	18	5.89	0.19	7
CONT.	0.660	-	-	5.83	-	-	5.50	-	-
Table 110: “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant.

The genes listed in Tables 111-112 improved plant relative growth rate (RGR of leaf area, root length and root coverage) when grown at standard nitrogen concentration levels. These genes produced plants that grew faster than control plants when grown under standard nitrogen growth conditions. Faster growth was observed when growth rate of leaf area, root length and root coverage was measured.

Genes showing improved growth rate at standard nitrogen growth conditions (T2 generation)
Gene Name	Event #	RGR Of Leaf Area	RGR Of Roots Coverage	RGR Of Root Length
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU954	80360.4	-	-	-	-	-	-	0.583	0.23	10
LNU938	80354.1	-	-	-	-	-	-	0.588	0.21	11
LNU938	80355.5	0.0549	0.14	18	-	-	-	-	-	-
LNU910	80348.1	0.0555	0.22	19	-	-	-	-	-	-
LNU910	80348.5	0.0588	0.11	26	-	-	-	-	-	-
LNU910	80350.1	0.0617	0.02	32	0.929	0.07	23	0.611	0.06	16
LNU869	80083.3	0.0584	0.12	25	-	-	-	-	-	-
LNU869	80084.3	0.0549	0.16	18	-	-	-	-	-	-
LNU869	80084.4	0.0767	L	64	0.911	0.23	20	-	-	-
LNU869	80085.3	0.0652	L	40	1.02	L	34	0.583	0.21	10
LNU840	78677.1	0.0537	0.25	15	-	-	-	-	-	-
LNU840	78763.2	0.0529	0.30	13	-	-	-	-	-	-
LNU771	80077.2	0.630	0.05	35	1.11	L	46	0.627	0.09	19
LNU771	80079.3	0.0537	0.30	15	0.859	0.29	13	-	-	-
LNU771	80079.4	0.0544	0.18	17	-	-	-	0.577	0.29	9
CONT.	-	0.0466	-	-	0.758	-	-	0.528	-	-
LNU964	80548.1	0.0578	0.03	23	0.773	0.24	16	0.632	0.08	11
LNU964	80548.3	0.0522	0.26	12	-	-	-	-	-	-
LNU964	80552.4	0.0733	L	58	0.917	0.03	38	-	-	-
LNU964	80552.6	0.0543	0.12	17	-	-	-	-	-	-
LNU955	80432.7	0.0607	0.02	31	1.11	L	67	-	-	-
LNU953	80428.1	0.0561	0.04	21	0.879	0.04	32	-	-	-
LNU953	80429.2	0.0662	L	42	0.787	0.27	18	-	-	-
LNU949	80557.4	0.0630	L	36	0.971	L	46	0.627	0.13	10
LNU914	80514.5	0.0596	0.03	28	-	-	-	-	-	-
LNU914	80515.6	0.0550	0.12	18	-	-	-	-	-	-
LNU901	80474.2	0.0592	0.01	27	1.01	L	52	-	-	-
LNU901	80474.3	0.0623	L	34	0.792	0.16	19	-	-	-
LNU901	80476.4	0.0534	0.15	15	—	—	—	-	-	-
LNU892	80410.1	0.0589	0.02	27	0.890	0.02	34	0.615	0.17	8
LNU892	80414.7	0.0551	0.12	19	-	-	-	-	-	-
LNU873	80469.3	0.0550	0.08	18	0.779	0.26	17	-	-	-
LNU873	80473.6	0.0522	0.24	12	-	-	-	-	-	-
LNU866	80444.6	0.0664	L	43	0.901	0.08	35	-	-	-
LNU834_H1	80402.1	0.0614	L	32	0.965	0.01	45	0.614	0.21	8
LNU834_H1	80402.3	0.0529	0.14	14	0.768	0.25	15	-	-	-
LNU834_H1	80404.5	0.0588	0.01	27	0.859	0.03	29	-	-	-
LNU798	79671.4	0.0701	L	51	1.12	L	68	-	-	-
Gene Name	Event #	RGR Of Leaf Area	RGR Of Roots Coverage	RGR Of Root Length
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU798	79673.2	0.0585	0.05	26	0.903	0.10	36	0.636	0.17	12
LNU787	80546.5	0.0572	0.03	23	0.899	0.06	35	-	-	-
LNU787	80547.4	-	-	-	-	-	-	0.609	0.25	7
LNU787	80547.5	0.0659	L	42	1.06	L	59	0.634	0.07	12
LNU766	78931.1	0.0539	0.15	16	0.830	0.09	25	-	-	-
LNU766	78931.10	0.0668	L	44	1.02	L	54	0.639	0.10	13
LNU766	78932.1	0.0584	0.04	26	0.864	0.08	30	0.612	0.30	8
CONT.	-	0.0464	-	-	0.665	-	-	0.568	-	-
LNU952	78218.6	0.0694	0.04	41	0.879	0.15	31	0.589	0.13	19
LNU920	78507.1	-	-	-	0.907	0.20	36	-	-	-
LNU905	79674.4	0.0658	0.16	33	0.960	0.06	44	-	-	-
LNU905	79676.1	0.0620	0.15	26	0.848	0.22	27	0.584	0.12	18
LNU897	80449.1	0.0618	0.17	25	-	-	-	-	-	-
LNU884	80407.5	0.0776	0.01	57	1.06	0.02	58	0.593	0.21	19
LNU872	77723.2	0.0681	0.07	38	0.834	0.26	25	0.582	0.26	17
LNU872	77724.7	0.0670	0.03	36	1.08	0.03	61	-	-	-
LNU773	80399.2	-	-	-	0.895	0.24	34	0.583	0.28	17
CONT.	-	0.0493	-	-	0.669	-	-	0.497	-	-
Table 111: “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant.

Genes showing improved growth rate at standard nitrogen growth conditions (T1 generation)
Gene Name	RGR Of Leaf Area	RGR Of Roots Coverage	RGR Of Root Length
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU886	-	-	-	0.809	0.25	19	-	-	-
LNU821	-	-	-	0.815	0.19	20	0.590	0.18	9
CONT.	-	-	-	0.680	-	-	0.540	-	-
LNU956	0.0900	0.29	21	-	-	-	-	-	-
CONT.	0.0741	-	-	-	-	-	-	-	-
Table 112. “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant.

Example 17

Evaluation of Transgenic Arabidopsis Nue, Yield and Plant Growth Rate Under Low or Normal Nitrogen Fertilization in Greenhouse Assay

Assay 1: Nitrogen Use efficiency: Seed yield plant biomass and plant growth rate at limited and optimal nitrogen concentration under greenhouse conditions - This assay follows seed yield production, the biomass formation and the rosette area growth of plants grown in the greenhouse at limiting and non-limiting nitrogen growth conditions. Transgenic Arabidopsis seeds were sown in agar media supplemented with ½ MS medium and a selection agent (Kanamycin). The T₂ transgenic seedlings were then transplanted to 1.7 trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing nitrogen limiting conditions, which were achieved by irrigating the plants with a solution containing 1.5 mM inorganic nitrogen in the form of KNO₃, supplemented with 1 mM KH₂PO₄, 1 mM MgSO₄, 3.6 mM KC1, 2 mM CaCl₂ and microelements, while normal nitrogen levels were achieved by applying a solution of 6 mM inorganic nitrogen also in the form of KNO₃ with 1 mM KH₂PO₄, 1 mM MgSO₄,2 mM CaCl₂ and microelements. All plants were grown in the greenhouse until mature seeds. Seeds were harvested, extracted and weight. The remaining plant biomass (the above ground tissue) was also harvested, and weighted immediately or following drying in oven at 50° C. for 24 hours.

Each construct was validated at its T₂ generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the 35S promoter and the selectable marker was used as control.

The plants are analyzed for their overall size, growth rate, flowering, seed yield, 1,000-seed weight, dry matter and harvest index (HI- seed yield/dry matter). Transgenic plants performance was compared to control plants grown in parallel under the same conditions. Mock- transgenic plants expressing the uidA reporter gene (GUS-Intron) or with no gene at all, under the same promoter were used as control.

The experiment was planned in nested randomized plot distribution. For each gene of the invention three to five independent transformation events were analyzed from each construct.

Digital imaging - A laboratory image acquisition system, which consists of a digital reflex camera (Canon EOS 300D) attached with a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which includes 4 light units (4 x 150 Watts light bulb) was used for capturing images of plant samples.

The image capturing process was repeated every 2 days starting from day 1 after transplanting till day 15. Same camera, placed in a custom made iron mount, was used for capturing images of larger plants sawn in white tubs in an environmental controlled greenhouse. The tubs were square shape include 1.7 liter trays. During the capture process, the tubs were placed beneath the iron mount, while avoiding direct sun light and casting of shadows.

An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program - ImageJ 1.39 [Java based image processing program which was developed at the U.S. National Institutes of Health and freely available on the internet at rsbweb (dot) nih (dot) gov/]. Images are captured in resolution of 10 Mega Pixels (3888 x 2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Leaf analysis - Using the digital analysis leaves data was calculated, including leaf number, rosette area, rosette diameter, leaf blade area.

Vegetative growth rate: the relative growth rate (RGR) of leaf number [Formula VIII (described above)], rosette area (Formula IX, described above), plot coverage (Formula XI, described above) and harvest index (Formula XV) is calculated with the indicated formulas.

Seeds average weight - At the end of the experiment all seeds were collected. The seeds were scattered on a glass tray and a picture is taken. Using the digital analysis, the number of seeds in each sample was calculated.

Dry weight and seed yield - On about day 80 from sowing, the plants were harvested and left to dry at 30° C. in a drying chamber. The biomass and seed weight of each plot were measured and divided by the number of plants in each plot. Dry weight = total weight of the vegetative portion above ground (excluding roots) after drying at 30° C. in a drying chamber; Seed yield per plant = total seed weight per plant (gr). 1000 seed weight (the weight of 1000 seeds) (gr.).

The harvest index (HI) is calculated using Formula XV as described above.

Oil percentage in seeds - At the end of the experiment all seeds from each plot were collected. Seeds from 3 plots were mixed grounded and then mounted onto the extraction chamber. 210 ml of n-Hexane (Cat No. 080951 Biolab Ltd.) were used as the solvent. The extraction was performed for 30 hours at medium heat 50° C. Once the extraction has ended the n-Hexane was evaporated using the evaporator at 35° C. and vacuum conditions. The process was repeated twice. The information gained from the Soxhlet extractor (Soxhlet, F. Die gewichtsanalytische Bestimmung des Milchfettes, Polytechnisches J. (Dingler’s) 1879, 232, 461) was used to create a calibration curve for the Low Resonance NMR. The content of oil of all seed samples is determined using the Low Resonance NMR (MARAN Ultra- Oxford Instrument) and its MultiQuant software package

Silique length analysis - On day 50 from sowing, 30 siliques from different plants in each plot were sampled in block A. The chosen siliques were green-yellow in color and were collected from the bottom parts of a grown plant’s stem. A digital photograph was taken to determine silique’s length.

Statistical analyses - To identify genes conferring significantly improved tolerance to abiotic stresses, the results obtained from the transgenic plants were compared to those obtained from control plants. To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. Data was analyzed using Student’s t-test and results were considered significant if the p value was less than 0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, NC, USA).

Tables 113-122 summarize the observed phenotypes of transgenic plants exogenously expressing the gene constructs using the greenhouse seed maturation (GH-SM) assays under low nitrogen (Tables 113-117) or normal nitrogen (Tables 118-122) conditions. The evaluation of each gene was performed by testing the performance of different number of events. Event with p-value <0.1 was considered statistically significant.

Genes showing improved plant performance at low Nitrogen growth conditions under regulation of At6669 promoter
Gene Name	Event #	Dry Weight [mg]	Flowering	Inflorescence Emergence
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU947	77448.4	458.1	0.03	17	-	-	-	-	-	-
LNU895	77934.1	416.9	0.10	6	-	-	-	-	-	-
LNU895	77935.3	424.4	0.05	8	-	-	-	-	-	-
LNU878	77252.1	474.4	0.21	21	-	-	-	-	-	-
LNU878	77254.3	420.6	0.07	7	-	-	-	-	-	-
LNU820	77806.2	431.9	0.02	10	-	-	-	-	-	-
LNU820	77807.2	423.8	0.05	8	-	-	-	-	-	-
LNU820	77809.1	445.6	0.22	14	-	-	-	-	-	-
LNU815	77494.1	425.6	0.08	9	-	-	-	-	-	-
LNU808	77678.3	456.9	0.03	17	-	-	-	-	-	-
LNU803	77902.2	446.9	L	14	-	-	-	-	-	-
LNU784	77612.3	480.0	L	23	-	-	-	-	-	-
LNU784	77615.1	429.4	0.03	10	-	-	-	-	-	-
LNU779	77887.1	428.1	0.03	9	-	-	-	-	-	-
LNU774	77247.4	408.5	0.25	4	-	-	-	-	-	-
CONT.	-	391.6	-	-	-	-	-	-	-	-
LNU895	77934.4	616.9	0.07	8	23.0	0.04	-5	18.3	0.21	-4
LNU895	77935.4	-	-	-	-	-	-	18.9	0.30	-1
LNU890	78202.1	616.9	0.18	8	-	-	-	-	-	-
LNU878	77251.3	633.1	0.19	11	23.5	0.02	-3	18.0	L	-6
LNU878	77254.2	606.9	0.12	6	-	-	-	-	-	-
LNU838	77616.2	-	-	-	23.5	0.02	-3	-	-	-
LNU838	77616.3	593.8	0.30	4	23.6	0.04	-2	-	-	-
LNU838	77617.2	-	-	-	-	-	-	18.5	0.02	-3
LNU838	77617.5	-	-	-	23.7	0.19	-2	-	-	-
LNU811	78179.1	-	-	-	23.2	0.26	-4	18.4	0.01	-4
LNU808	77677.2	-	-	-	-	-	-	18.8	0.27	-1
LNU808	77678.3	633.8	0.12	11	22.7	0.19	-6	17.4	0.21	-9
LNU808	77679.3	-	-	-	23.2	0.09	-4	17.4	L	-9
LNU803	77901.2	-	-	-	23.7	0.06	-2	-	-	-
LNU803	77902.2	676.2	L	18	-	-	-	-	-	-
LNU793	78169.2	-	-	-	22.9	L	-5	-	-	-
LNU784	77615.1	-	-	-	23.2	0.09	-4	-	-	-
LNU784	77615.12	-	-	-	23.1	0.15	-4	17.5	L	-8
LNU775	77592.3	819.8	0.06	43	23.1	0.01	-5	16.6	L	-13
LNU774	77246.3	678.1	0.23	18	21.4	L	-12	16.6	L	-13
LNU774	77247.4	587.5	0.25	3	23.1	0.17	-5	18.6	0.06	-2
LNU754	77801.2	-	-	-	23.1	0.15	-4	18.2	0.05	-5
CONT.	-	572.3	-	-	24.2	-	-	19.1	-	-
Table 113 “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment ;“p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4880). It should be noted that a negative increment (in percentages) when found in flowering or inflorescence emergence indicates drought avoidance of the plant.

Genes showing improved plant performance at low Nitrogen growth conditions under regulation of At6669 promoter
Gene Name	Event #	Leaf Blade Area [cm2]	Leaf Number	Plot Coverage [cm2]
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU895	77933.2	-	-	-	11.8	0.15	3	-	-	-
LNU878	77251.3	-	-	-	-	-	-	107.1	0.24	19
LNU878	77252.1	2.10	0.15	40	-	-	-	125.2	0.21	39
LNU878	77254.3	1.58	0.04	5	-	-	-	94.6	0.02	5
LNU815	77492.6	-	-	-	11.8	0.15	3	104.9	0.24	17
LNU815	77495.1	1.62	0.19	8	-	-	-	99.5	0.28	11
LNU808	77678.3	1.62	0.26	8	-	-	-	95.9	0.04	7
LNU803	77902.2	-	-	-	12.2	L	8	-	-	-
LNU803	77904.4	1.78	0.15	19	-	-	-	105.6	L	18
LNU784	77615.7	-	-	-	-	-	-	101.6	0.18	13
LNU784	77615.9	1.76	0.11	17	-	-	-	101.2	0.04	13
LNU779	77887.1	-	-	-	-	-	-	93.5	0.25	4
LNU775	77593.3	-	-	-	-	-	-	93.6	0.18	4
LNU774	77246.3	-	-	-	11.8	0.18	4	-	-	-
LNU774	77247.2	-	-	-	11.9	0.11	5	-	-	-
LNU756	77581.3	-	-	-	-	-	-	99.9	0.06	11
LNU756	77585.4	1.55	0.18	3	-	-	-	94.7	0.19	5
CONT.	-	1.50	-	-	11.4	-	-	89.8	-	-
LNU895	77934.4	1.74	0.07	21	-	-	-	108.2	0.29	19
LNU878	77251.3	1.56	0.10	8	-	-	-	--	-	-
LNU838	77616.3	1.54	0.29	7	-	-	-	-	-	-
LNU811	78179.1	1.63	0.02	13	-	---	-	98.9	0.15	9
LNU808	77677.2	1.52	0.28	5	-	-	-	-	-	-
LNU808	77677.3	1.54	0.28	7	-	-	-	-	-	-
LNU808	77678.3	1.61	0.05	12	11.9	0.09	6	104.8	0.06	15
LNU803	77902.2	-	-	-	12.2	0.15	8	-	-	-
LNU803	77904.4	-	-	-	11.9	0.09	6	-	-	-
LNU793	78169.2	1.57	0.11	9	-	-	-	-	-	-
LNU784	77615.1	1.63	0.12	13	-	-	-	102.1	0.05	12
LNU775	77593.1	1.55	0.22	8	-	-	-	-	-	-
LNU774	77246.3	1.96	0.04	36	-	-	-	120.5	0.03	32
LNU769	78165.2	-	-	-	11.8	0.14	5	-	-	-
CONT.	-	1.44	-	-	11.3	-	-	91.1	-	-
Table 114. “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4880).

Genes showing improved plant performance at low Nitrogen growth conditions under regulation of At6669 promoter
Gene Name	Event #	RGR Of Leaf Number	RGR Of Plot Coverage [cm2/day]	RGR Of Rosette Diameter [cm/day]
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU940	77812.1	0.886	0.08	17	-	-	-	-	-	-
LNU878	77251.3	-	-	-	13.8	0.13	19	-	-	-
LNU878	77252.1	-	-	-	16.2	L	39	0.597	0.03	17
LNU820	77807.2	0.838	0.28	11	-	-	-	-	-	-
LNU815	77492.6	-	-	-	13.7	0.16	17	-	-	-
LNU815	77495.1	-	-	-	-	-	-	0.562	0.15	10
LNU803	77902.2	0.905	0.04	19	-	-	-	-	-	-
LNU803	77902.3	0.855	0.22	13	-	-	-	-	-	-
LNU803	77904.4	-	-	-	13.7	0.14	18	0.570	0.09	11
LNU784	77612.3	0.905	0.08	19	-	-	-	-	-	-
LNU784	77615.7	-	-	-	13.2	0.27	13	-	-	-
LNU784	77615.9	-	-	-	13.1	0.30	12	-	-	-
LNU756	77581.3	-	-	-	-	-	-	0.550	0.28	7
LNU756	77584.2	0.851	0.20	12	-	-	-	-	-	-
LNU754	77805.2	0.863	0.17	14	-	-	-	-	-	-
CONT.	-	0.758	-	-	11.7	-	-	0.513	-	-
LNU895	77934.4	-	-	-	13.3	0.20	19	0.542	0.23	13
LNU890	78204.6	0.798	0.22	14	-	-	-	-	-	-
LNU811	78179.1	-	-	-	-	-	-	0.542	0.23	13
LNU803	77901.2	-	-	-	-	-	-	0.547	0.22	14
LNU803	77902.2	0.841	0.09	20	-	-	-	-	-	-
LNU775	77591.2	0.798	0.23	14	-	-	-	-	-	-
LNU775	77593.1	-	-	-	-	-	-	0.544	0.23	13
LNU774	77246.3	-	-	-	14.9	0.03	33	0.573	0.08	19
LNU769	78165.1	0.796	0.23	13	-	-	-	-	-	-
CONT.	-	0.703	-	-	11.2	-	-	0.481	-	-
Table 115. “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01 p<0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4880).

Genes showing improved plant performance at low Nitrogen growth conditions under regulation of At6669 promoter
Gene Name	Event #	Harvest Index	Rosette Area [cm2]	Rosette Diameter [cm]
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU940	77811.5	0.458	0.18	7	-	-	-	-	-	-
LNU878	77251.3	-	-	-	13.4	0.24	19	6.05	0.10	8
LNU878	77252.1	-	-	-	15.7	0.21	39	6.61	0.19	18
LNU878	77254.3	-	-	-	11.8	0.02	5	-	-	-
LNU838	77616.2	0.476	0.11	11	-	-	-	-	-	-
LNU838	77617.2	0.472	0.07	10	-	-	-	-	-	-
LNU820	77806.6	0.471	0.08	10	-	-	-	-	-	-
LNU815	77492.2	0.484	0.03	13	-	-	-	-	-	-
LNU815	77492.6	-	-	-	13.1	0.24	17	5.91	0.28	5
LNU815	77495.1	-	-	-	12.4	0.28	11	-	-	-
LNU808	77678.3	-	-	-	12.0	0.04	7	-	-	-
LNU808	77679.3	0.466	0.11	9	-	-	-	-	-	-
LNU803	77901.2	0.497	0.01	16	-	-	-	-	-	-
LNU803	77904.4	-	-	-	13.2	L	18	6.22	L	11
LNU784	77615.12	0.458	0.18	7	-	-	-	-	-	-
LNU784	77615.7	-	-	-	12.7	0.18	13	5.98	0.17	6
LNU784	77615.9	-	-	-	12.7	0.04	13	6.05	L	8
LNU779	77887.1	-	-	-	11.7	0.25	4	5.78	0.20	3
LNU779	77890.3	0.464	0.17	8	-	-	-	-	-	-
LNU777	77573.3	-	-	-	-	-	-	6.02	0.14	7
LNU775	77593.3	-	-	-	11.7	0.18	4	-	-	-
LNU756	77581.3	0.469	0.26	10	12.5	0.06	11	-	-	-
LNU756	77585.3	0.452	0.28	6	-	-	-	-	-	-
LNU756	77585.4	-	-	-	11.8	0.19	5	5.86	0.03	4
CONT.	-	0.428	-	-	11.2	-	-	5.61	-	-
LNU895	77934.4	-	-	-	13.5	0.29	19	6.18	0.14	11
LNU878	77251.1	0.461	0.27	6	-	-	-	-	-	-
LNU878	77251.3	-	-	-	-	-	-	5.84	0.16	5
LNU838	77620.3	0.464	0.23	6	-	-	-	-	-	-
LNU811	78179.1	-	-	-	12.4	0.15	9	6.09	0.01	9
LNU811	78180.3	0.489	0.03	12	-	-	-	-	-	-
LNU808	77677.5	0.494	0.06	13	-	-	-	-	-	-
LNU808	77678.3	-	-	-	13.1	0.06	15	5.95	0.11	7
LNU797	78021.2	0.467	0.17	7	-	-	-	-	-	-
LNU797	78025.3	0.485	0.22	11	-	-	-	-	-	-
LNU793	78169.1	0.474	0.09	8	-	-	-	-	-	-
LNU784	77615.1	-	-	-	12.8	0.05	12	6.06	0.04	9
LNU775	77593.1	-	-	-	-	-	-	5.84	0.19	5
LNU774	77246.3	-	-	-	15.1	0.03	32	6.62	0.13	19
LNU774	77247.4	0.481	0.07	10	-	-	-	-	-	-
LNU770	77922.1	0.499	0.15	14	-	-	-	-	-	-
LNU770	77925.3	0.460	0.27	5	-	-	-	-	-	-
LNU761	78159.1	0.473	0.10	8	-	-	-	-	-	-
CONT.	-	0.437	-	-	11.4	-	-	5.58	-	-
Table 116. “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4880).

Genes showing improved plant performance at low Nitrogen growth conditions under regulation of At6669 promoter
Gene Name	Event #	Seed Yield [mg]	1000 Seed Weight [mg]
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU947	77448.4	-	-	-	26.4	0.09	26
LNU878	77252.1	-	-	-	25.9	0.08	23
LNU878	77254.3	-	-	-	22.6	0.19	7
LNU841	77146.1	-	-	-	21.7	L	3
LNU841	77148.1	-	-	-	21.6	0.12	3
LNU838	77616.2	187.7	0.22	12	-	-	-
LNU820	77807.2	-	-	-	22.7	0.12	8
LNU820	77809.1	-	-	-	24.4	0.21	16
LNU815	77494.1	-	-	-	23.6	0.25	12
LNU808	77678.1	180.2	0.25	8	21.5	0.25	3
LNU808	77678.3	-	-	-	22.8	L	9
LNU808	77679.3	182.7	0.21	9	-	-	-
LNU803	77901.2	182.5	0.22	9	-	-	-
LNU784	77615.1	-	-	-	22.7	0.07	8
LNU784	77615.9	-	-	-	22.3	0.13	6
LNU779	77887.1	186.2	0.10	11	-	-	-
LNU779	77890.3	187.5	0.19	12	-	-	-
LNU777	77573.3	-	-	-	22.1	L	5
LNU774	77246.3	-	-	-	23.1	0.23	10
LNU770	77922.1	183.6	0.14	10	-	-	-
LNU756	77584.6	-	-	-	23.0	0.09	10
CONT.	-	167.4	-	-	21.0	-	-
LNU890	78202.1	-	-	-	22.7	0.17	13
LNU878	77254.2	273.8	0.01	10	-	-	-
LNU878	77254.3	-	-	-	20.8	L	4
LNU838	77616.3	262.1	0.13	5	-	-	-
LNU811	78180.3	266.8	0.26	7	-	-	-
LNU808	77678.3	-	-	-	20.9	0.03	4
LNU803	77902.2	-	-	-	21.8	0.19	9
LNU797	78025.2	-	-	-	21.4	0.28	7
LNU797	78025.3	266.7	0.11	7	-	-	-
LNU793	78169.2	262.4	0.19	5	-	-	-
LNU775	77592.3	-	-	-	24.0	0.01	20
LNU774	77246.3	-	-	-	21.0	0.01	5
LNU774	77247.4	282.3	0.02	13	-	-	-
CONT.	-	249.0	-	-	20.0	-	-
Table 117. “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4880).

Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter
Gene Name	Event #	Dry Weight [mg]	Flowering	Inflorescence Emergence
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU947	77446.1	-	-	-	17.1	0.23	-4	-	-	-
LNU947	77447.3	-	-	-	17.0	0.15	-5	-	-	-
LNU947	77448.3	-	-	-	17.0	0.15	-5	-	-	-
LNU947	77448.4	831.9	0.14	5	17.0	0.15	-5	-	-	-
LNU895	77935.4	893.8	0.19	13	-	-	-	-	-	-
LNU878	77251.3	871.2	0.06	10	17.0	0.15	-5	-	-	-
LNU878	77252.1	859.4	0.03	9	17.0	0.15	-5	-	-	-
LNU878	77254.3	884.4	L	12	-	-	-	-	-	-
LNU841	77148.4	-	-	-	17.1	0.23	-4	-	-	-
LNU820	77807.2	833.1	0.13	5	-	-	-	-	-	-
LNU815	77492.2	-	-	-	17.0	0.15	-5	-	-	-
LNU808	77678.3	904.3	0.30	14	-	-	-	-	-	-
LNU808	77679.3	-	-	-	17.0	0.15	-5	-	-	-
LNU803	77902.2	879.9	0.11	11	-	-	-	-	-	-
LNU803	77904.4	-	-	-	17.0	0.15	-5	-	-	-
LNU784	77612.3	970.6	0.21	23	-	-	-	-	-	-
LNU779	77889.3	836.2	0.12	6	-	-	-	-	-	-
LNU777	77573.3	893.1	L	13	17.0	0.15	-5	-	-	-
LNU777	77574.4	-	-	-	17.1	0.23	-4	-	-	-
LNU774	77246.3	-	-	-	17.0	0.15	-5	-	-	-
LNU774	77248.2	-	-	-	17.0	0.15	-5	-	-	-
LNU756	77581.3	-	-	-	17.0	0.15	-5	-	-	-
LNU756	77584.2	835.7	0.11	6	-	-	-	-	-	-
LNU756	77584.6	887.9	L	12	-	-	-	-	-	-
LNU754	77801.2	-	-	-	17.0	0.15	-5	-	-	-
CONT.	-	791.6	-	-	17.9	-	-	-	-	-
LNU895	77934.4	1115.6	0.09	15	-	-	-	-	-	-
LNU890	78202.1	1017.5	0.19	5	-	-	-	-	-	-
LNU878	77251.3	1237.0	0.01	28	22.8	L	-6	18.1	L	-5
LNU878	77252.1	-	-	-	23.2	0.21	-5	17.7	0.08	-7
LNU878	77254.2	1026.6	0.24	6	23.7	0.03	-3	18.6	0.28	-2
LNU878	77254.3	1068.1	0.02	10	-	-	-	-	-	-
LNU841	77148.1	-	-	-	-	-	-	18.5	0.29	-2
LNU838	77616.2	-	-	-	-	-	-	18.7	0.10	-2
LNU838	77617.5	-	-	-	23.5	L	-4	-	-	-
LNU811	78179.1	-	-	-	23.6	0.18	-3	17.9	0.25	-6
LNU808	77678.3	-	-	-	22.9	L	-6	17.2	0.25	-9
LNU808	77679.3	-	-	-	23.7	0.02	-3	18.2	0.07	-4
LNU803	77902.2	1035.0	0.07	7	-	-	-	18.2	0.07	-4
LNU803	77904.4	-	-	-	23.7	0.03	-3	-	-	-
LNU797	78025.2	1087.7	L	12	-	-	-	-	-	-
LNU793	78168.1	1024.6	0.24	6	-	-	-	-	-	-
LNU793	78169.2	-	-	-	22.1	0.05	-9	17.3	0.06	-9
LNU784	77615.12	-	-	-	23.6	0.02	-3	17.9	0.25	-6
LNU784	77615.9	-	-	-	-	-	-	18.2	0.07	-4
LNU775	77592.3	1193.1	L	23	22.7	L	-7	16.6	L	-13
LNU775	77593.3	-	-	-	23.2	0.06	-5	18.7	0.10	-2
LNU774	77246.3	1090.6	L	13	22.0	L	-10	16.5	L	-13
LNU774	77247.2	-	-	-	-	-	-	18.8	0.27	-1
LNU774	77247.4	-	-	-	23.2-	0.06	-5	-	-	-
LNU761	78159.1	1029.3	0.09	6	-	-	-	-	-	-
LNU761	78160.7	1050.0	0.23	9	-	-	-	-	-	-
LNU754	77801.2	-	-	-	23.1	0.30	-5	-	-	-
CONT.	-	967.7	-	-	24.4	-	-	19.0	-	-
Table 118. “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4880). It should be noted that a negative increment (in percentages) when found in flowering or inflorescence emergence indicates drought avoidance of the plant.

Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter
Gene Name	Event #	Leaf Blade Area [cm2]	Leaf Number	Plot Coverage [cm2]
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU947	77448.4	-	-	-	-	-	-	107.3	0.29	13
LNU940	77812.1	-	-	-	11.6	0.19	5	-	-	-
LNU895	77935.4	1.76	0.16	7	11.7	0.11	6	106.3	0.07	11
LNU878	77251.3	1.95	0.27	19	11.8	0.05	6	-	-	-
LNU878	77252.1	2.01	0.18	22	-	-	-	117.3	0.10	23
LNU841	77146.2	-	-	-	11.9	0.13	8	-	-	-
LNU820	77807.2	-	-	-	11.7	0.07	6	-	-	-
LNU808	77677.5	-	-	-	12.1	0.20	9	-	-	-
LNU803	77901.2	1.75	0.23	7	-	-	-	-	-	-
LNU803	77902.2	-	-	-	11.9	0.02	8	-	-	-
LNU803	77904.4	-	-	-	12.1	0.20	9	-	-	-
LNU777	77573.3	1.85	0.19	12	11.6	0.11	5	108.5	0.26	14
LNU777	77574.4	-	-	-	11.8	0.29	7	-	-	-
LNU775	77593.3	-	-	-	11.6	0.19	5	-	-	-
LNU774	77247.2	-	-	-	11.6	0.19	5	-	-	-
LNU770	77922.1	-	-	-	11.4	0.30	3	-	-	-
LNU770	77925.3	-	-	-	11.4	0.30	3	-	-	-
LNU756	77585.3	-	-	-	12.1	0.05	10	-	-	-
LNU754	77801.2	-	-	-	-	-	-	102.1	0.21	7
LNU754	77802.2	-	-	--	-	-	-	105.1	0.25	10
CONT.	-	1.64	-	-	11.1	-	-	95.3	-	-
LNU878	77251.3	1.86	0.03	21	11.8	0.10	8	115.4	0.03	23
LNU878	77252.1	1.74	0.13	13	-	-	-	108.2	0.13	15
LNU838	77616.3	-	-	-	11.2	0.17	3	-	-	-
LNU838	77620.3	-	-	-	11.4	0.07	4	-	-	-
LNU808	77679.3	-	-	-	11.5	0.05	5	-	-	-
LNU803	77902.3	-	-	-	11.3	0.24	4	-	-	-
LNU784	77615.1	-	-	-	12.0	0.15	10	-	-	-
LNU775	77592.3	1.94	0.20	26	-	-	-	115.8	0.11	23
LNU774	77246.3	2.07	0.02	34	12.1	L	11	132.2	0.09	41
LNU774	77247.4	-	-	-	11.2	0.23	3	-	-	-
CONT.	-	1.54	-	-	10.9	-	-	94.0	-	-
Table 119. “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO:4880).

Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter
Gene Name	Event #	RGR Of Leaf Number	RGR Of Plot Coverage [cm2/day]	RGR Of Rosette Diameter [cm/day]
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU947	77446.1	0.846	0.15	20	-	-	-	-	-	-
LNU947	77448.4	0.879	0.09	25	-	-	-	-	-	-
LNU940	77811.2	0.810	0.28	15	-	-	-	-	-	-
LNU878	77251.1	0.813	0.28	16	-	-	-	-	-	-
LNU878	77251.3	-	-	-	15.5	0.11	25	-	-	-
LNU878	77252.1	-	-	-	15.2	0.12	23	-	-	-
LNU841	77146.2	0.845	0.16	20	-	-	-	-	-	-
LNU838	77620.3	0.818	0.24	16	-	-	-	-	-	-
LNU820	77807.2	0.889	0.06	27	-	-	-	-	-	-
LNU808	77677.5	0.854	0.13	22	-	-	-	-	-	-
LNU803	77902.2	0.913	0.03	30	-	-	-	-	-	-
LNU803	77903.1	0.827	0.21	18	-	-	-	-	-	-
LNU779	77887.3	0.817	0.25	16	-	-	-	-	-	-
LNU777	77574.4	0.843	0.15	20	-	-	-	-	-	-
LNU775	77591.2	0.818	0.26	17	-	-	-	-	-	-
LNU774	77247.2	-	-	-	15.9	0.09	28	0.632	0.21	13
LNU770	77925.3	0.811	0.26	16	-	-	-	-	-	-
LNU756	77585.3	0.859	0.12	22	-	-	-	-	-	-
CONT.	-	0.702	-	-	12.4	-	-	0.558	-	-
LNU959	78222.8	0.790	0.23	17	-	-	-	-	-	-
LNU878	77251.3	-	-	-	14.2	0.22	21	-	-	-
LNU878	77254.2	0.803	0.16	19	-	-	-	-	-	-
LNU811	78179.1	0.782	0.26	16	-	-	-	-	-	-
LNU803	77901.2	0.820	0.12	21	-	-	-	-	-	-
LNU797	78022.1	0.811	0.12	20	-	-	-	-	-	-
LNU797	78025.3	0.822	0.13	22	-	-	-	-	-	-
LNU793	78168.1	0.790	0.23	17	-	-	-	-	-	-
LNU793	78169.2	-	-	-	14.3	0.28	22	-	-	-
LNU784	77612.3	0.781	0.22	16	-	-	-	-	-	-
LNU784	77615.1	0.784	0.25	16	-	-	-	-	-	-
LNU775	77592.3	-	-	-	14.3	0.21	22	-	-	-
LNU774	77246.3	-	-	-	16.5	0.03	40	0.588	0.20	16
LNU774	77247.2	0.812	0.13	20	-	-	-	-	-	--
LNU761	78159.1	0.775	0.27	15	-	-	-	-	-	-
LNU754	77801.2	0.799	0.19	18	-	-	-	-	-	-
CONT.	-	0.675	-	-	11.7	-	-	0.508	-	-
Table 120. “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4880).

Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter
Gene Name	Event #	Harvest Index	Rosette Area [cm2]	Rosette Diameter [cm]
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU947	77448.4	-	-	-	13.4	0.29	13	-	-	-
LNU940	77812.4	0.500	0.05	7	-	-	-	-	-	-
LNU895	77935.4	-	-	-	13.3	0.07	11	6.22	0.09	5
LNU878	77252.1	-	-	-	14.7	0.10	23	6.58	0.21	12
LNU838	77616.2	0.504	0.02	8	-	-	-	-	-	-
LNU815	77492.2	0.482	0.28	3	-	-	-	-	-	-
LNU808	77677.3	0.488	0.30	5	-	-	-	-	-	-
LNU808	77678.1	0.497	0.05	6	-	-	-	-	-	-
LNU803	77904.4	0.489	0.29	5	-	-	-	-	-	-
LNU784	77615.12	0.505	0.02	8	-	-	-	-	-	-
LNU779	77887.1	0.512	0.08	10	-	-	-	-	-	-
LNU777	77573.3	-	-	-	13.6	0.26	14	6.41	0.19	9
LNU775	77591.2	0.503	0.28	8	-	-	-	-	-	-
LNU775	77593.3	0.503	0.03	8	-	-	-	-	-	-
LNU775	77595.1	0.509	0.01	9	-	-	-	-	-	-
LNU770	77922.4	0.499	0.08	7	-	-	-	-	-	-
LNU756	77585.4	0.491	0.19	5	-	-	-	-	-	-
LNU754	77801.2	0.506	0.26	8	12.8	0.21	7	6.26	0.07	6
LNU754	77802.2	-	-	-	13.1	0.25	10	-	-	-
CONT.	-	0.467	-	-	11.9	-	-	5.90	-	-
LNU959	78224.4	0.527	0.08	22	-	-	-	-	-	-
LNU895	77933.2	0.483	0.07	12	-	-	-	-	-	-
LNU890	78204.4	0.508	0.07	18	-	-	-	-	-	-
LNU890	78204.8	0.519	0.12	20	-	-	-	-	-	-
LNU878	77251.3	-	-	-	14.4	0.03	23	6.46	0.03	12
LNU878	77252.1	-	-	-	13.5	0.13	15	6.18	0.08	7
LNU878	77254.2	0.480	0.14	11	-	-	-	-	-	-
LNU811	78176.8	0.481	0.04	11	-	-	-	-	-	-
LNU808	77677.5	0.498	0.07	15	-	-	-	-	-	-
LNU803	77902.3	0.471	0.08	9	-	-	-	-	-	-
LNU803	77903.1	0.464	0.21	7	-	-	-	-	-	-
LNU793	78166.4	0.483	0.03	12	-	-	-	-	-	-
LNU775	77592.3	-	-	-	14.5	0.11	23	6.46	0.27	12
LNU775	77593.1	0.500	0.19	16	-	-	-	-	-	-
LNU774	77246.3	-	-	-	16.5	0.09	41	6.75	0.03	17
LNU769	78163.4	0.467	0.19	8	-	-	-	-	-	-
LNU769	78165.1	0.481	0.04	11	-	-	-	-	-	-
LNU761	78157.1	0.533	L	23	-	-	-	-	-	-
LNU761	78157.6	0.515	L	19	-	-	-	-	-	-
LNU761	78160.7	0.471	0.09	9	-	-	-	-	-	-
LNU754	77801.1	0.490	0.08	13	-	-	-	-	-	-
LNU754	77802.2	0.492	0.02	14	-	-	-	-	-	-
LNU754	77804.1	0.491	0.20	14	-	-	-	-	-	-
CONT.	-	0.432	-	-	11.7	-	-	5.75	-	-
Table 121. “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4880).

Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter
Gene Name	Event #	Seed Yield [mg]	1000 Seed Weight [mg]
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU947	77447.3	409.8	0.09	11	-	-	-
LNU947	77448.4	-	-	-	25.7	0.10	16
LNU895	77933.2	-	-	-	23.5	0.06	6
LNU895	77935.3	-	-	-	23.6	0.27	6
LNU878	77251.3	-	-	-	25.2	0.24	13
LNU878	77254.3	414.6	0.21	12	25.0	L	12
LNU820	77807.2	-	-	-	25.2	L	13
LNU820	77809.1	-	-	-	25.3	0.12	13
LNU815	77494.1	-	-	-	24.7	0.03	11
LNU815	77495.3	406.0	0.14	10	-	-	-
LNU808	77678.3	-	-	-	24.5	0.22	10
LNU803	77901.2	395.8	0.20	7	-	-	-
LNU803	77902.2	-	-	-	24.9	L	12
LNU784	77612.3	-	-	-	23.4	0.04	5
LNU784	77615.1	--	-	-	25.2	L	13
LNU784	77615.9	-	-	-	23.1	0.10	4
LNU779	77887.1	407.7	0.07	10	22.8	0.25	2
LNU777	77573.3	-	-	-	27.4	L	23
LNU775	77595.1	413.4	0.10	12	-	-	-
LNU774	77246.3	-	-	-	24.0	0.02	8
LNU774	77247.2	406.2	0.08	10	-	-	-
LNU756	77584.6	-	-	-	24.5	0.01	10
CONT.	-	370.6	-	-	22.3	-	-
LNU959	78224.4	471.4	0.22	13	-	-	-
LNU895	77934.4	-	-	-	24.3	0.03	16
LNU895	77935.3	-	-	-	22.6	0.03	7
LNU890	78202.1	-	-	-	22.2	0.04	5
LNU890	78204.4	488.9	0.07	17	-	-	-
LNU890	78204.8	560.4	0.05	34	-	-	-
LNU878	77251.3	-	-	-	24.3	0.18	15
LNU878	77252.1	-	-	-	25.4	0.08	21
LNU878	77254.2	493.1	0.20	18	-	-	-
LNU878	77254.3	-	-	-	23.1	0.27	10
LNU811	78176.8	478.0	0.29	14	-	-	-
LNU797	78021.4	445.1	0.25	7	-	-	-
LNU797	78025.2	-	-	-	25.2	0.06	20
LNU797	78025.3	-	-	-	21.6	0.23	3
LNU793	78168.1	-	-	-	23.3	L	11
LNU784	77615.1	-	-	-	22.5	0.01	7
LNU775	77592.3	-	-	-	26.2	L	25
LNU774	77246.3	-	-	-	22.4	0.22	6
LNU774	77249.1	-	-	-	23.1	L	10
LNU761	78157.1	495.8	0.12	19	-	-	-
LNU761	78157.6	475.0	0.08	14	-	-	-
LNU761	78159.1	466.0	0.26	12	-	-	-
LNU761	78160.7	493.9	0.01	18	-	-	-
CONT.	-	417.6	-	-	21.0	-	-
Table 122. “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4880).

Example 18

Evaluation of Transgenic Arabidopsis Nue, Yield and Plant Growth Rate Under Low or Normal Nitrogen Fertilization in Greenhouse Assay

Assay 2: Nitrogen Use efficiency measured until bolting stage: plant biomass and plant growth rate at limited and optimal nitrogen concentration under greenhouse conditions - This assay follows the plant biomass formation and the rosette area growth of plants grown in the greenhouse at limiting and non-limiting nitrogen growth conditions. Transgenic Arabidopsis seeds were sown in agar media supplemented with ½ MS medium and a selection agent (Kanamycin). The T₂ transgenic seedlings were then transplanted to 1.7 trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing nitrogen limiting conditions, which were achieved by irrigating the plants with a solution containing 1.5 mM inorganic nitrogen in the form of KNO₃, supplemented with 1 mM KH₂PO₄, 1 mM MgSO₄, 3.6 mM KC1, 2 mM CaCl₂ and microelements, while normal nitrogen levels were achieved by applying a solution of 6 mM inorganic nitrogen also in the form of KNO₃ with 1 mM KH₂PO₄, 1 mM MgSO₄, 2 mM CaCl₂ and microelements. All plants were grown in the greenhouse until bolting stage. Plant biomass (the above ground tissue) was weight in directly after harvesting the rosette (plant fresh weight [FW]). Following plants were dried in an oven at 50° C. for 48 hours and weighted (plant dry weight [DW]).

Each construct is validated at its T₂ generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the 35S promoter and the selectable marker was used as control.

The plants were analyzed for their overall size, growth rate, fresh weight and dry matter. Transgenic plants performance was compared to control plants grown in parallel under the same conditions. Mock- transgenic plants expressing the uidA reporter gene (GUS-Intron) or with no gene at all, under the same promoter were used as control.

The experiment was planned in nested randomized plot distribution. For each gene of the invention three to five independent transformation events were analyzed from each construct.

Digital imaging - A laboratory image acquisition system, which consists of a digital reflex camera (Canon EOS 300D) attached with a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which includes 4 light units (4 x 150 Watts light bulb) was used for capturing images of plant samples.

The image capturing process was repeated every 2 days starting from day 1 after transplanting till day 15. Same camera, placed in a custom made iron mount, was used for capturing images of larger plants sawn in white tubs in an environmental controlled greenhouse. The tubs were square shape include 1.7 liter trays. During the capture process, the tubes were placed beneath the iron mount, while avoiding direct sun light and casting of shadows.

An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program - ImageJ 1.39 [Java based image processing program which was developed at the U.S. National Institutes of Health and freely available on the internet at rsbweb (dot) nih (dot) gov/]. Images were captured in resolution of 10 Mega Pixels (3888 x 2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Leaf analysis - Using the digital analysis leaves data was calculated, including leaf number, rosette area, rosette diameter, leaf blade area.

Vegetative growth rate: the relative growth rate (RGR) of leaf number (Formula VIII described above), rosette area (Formula IX described above) and plot coverage (Formula XI, described above) are calculated using the indicated formulas.

Plant Fresh and Dry weight - On about day 80 from sowing, the plants were harvested and directly weight for the determination of the plant fresh weight (FW) and left to dry at 50° C. in a drying chamber for about 48 hours before weighting to determine plant dry weight (DW).

Statistical analyses - To identify genes conferring significantly improved tolerance to abiotic stresses, the results obtained from the transgenic plants were compared to those obtained from control plants. To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. Data was analyzed using Student’s t-test and results were considered significant if the p value was less than 0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, NC, USA).

The genes listed in Tables 123-124 improved plant NUE when grown at limiting nitrogen concentration levels. These genes produced larger plants with a larger photosynthetic area, biomass (fresh weight, dry weight, leaf number, rosette diameter, rosette area and plot coverage) when grown under limiting nitrogen conditions (nutrient deficiency stress) as compared to control plants grown under identical growth conditions.

Genes showing improved plant biomass production at limiting nitrogen growth conditions
Gene Name	Event #	Dry Weight [mg]	Fresh Weight [mg]	Leaf Number
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU952	78218.1	-	-	-	112.5	0.05	26	-	-	-
LNU952	78218.3	-	-	-	106.2	0.18	19	-	-	-
LNU952	78218.6	-	-	-	100.0	0.29	12	-	-	-
LNU952	78219.3	-	-	-	118.8	0.04	33	-	-	-
LNU945	78998.2	-	-	-	-	-	-	10.9	0.13	6
LNU945	78999.1	-	-	-	100.0	0.29	12	-	-	-
LNU920	78507.1	-	-	-	106.2	0.18	19	-	-	-
LNU920	78508.1	-	-	-	112.5	0.27	26	-	-	-
LNU920	78508.2	-	-	-	112.5	0.05	26	-	-	-
LNU916	78208.3	-	-	-	106.2	0.18	19	-	-	-
LNU914	80516.2	-	-	-	127.7	0.18	43	-	-	-
LNU911	80420.3	-	-	-	106.2	0.18	19	-	-	-
LNU911	80420.5	-	-	-	-	-	-	10.4	0.22	1
LNU905	79674.3	-	-	-	112.5	0.05	26	-	-	-
LNU905	79674.4	-	-	-	106.2	0.18	19	-	-	-
LNU905	79675.3	-	-	-	118.8	0.04	33	-	-	-
LNU844	80342.4	-	-	-	106.2	0.18	19	-	-	-
LNU840	78676.1	-	-	-	106.2	0.18	19	-	-	-
LNU840	78676.4	11.2	L	54	131.2	0.23	47	-	-	-
LNU840	78763.6	9.38	0.09	29	106.2	0.18	19	-	-	-
LNU832_H2	80602.1	-	-	-	106.2	0.18	19	-	-	-
LNU832_H2	80604.2	-	-	-	106.2	0.18	19	-	-	-
LNU832_H2	80605.1	-	-	-	107.1	0.19	20	10.6	0.05	3
LNU819	78133.3	8.75	0.06	20	-	-	-	-	-	-
LNU801	78585.2	-	-	-	100.0	0.29	12	-	-	-
LNU791	77893.2	-	-	-	106.2	0.18	19	-	-	-
LNU791	77895.2	-	-	-	100.0	0.29	12	-	-	-
LNU760_H1	80127.2	-	-	-	131.2	0.23	47	-	-	-
CONT.	-	7.29	-	-	89.6	-	-	10.3	-	-
LNU966	78605.5	102.5	0.01	20	968.8	0.11	16	12.6	L	13
LNU966	78605.7	94.4	0.14	10	-	-	-	11.5	0.14	3
LNU941	78611.1	-	-	-	-	-	-	11.7	0.02	5
LNU941	78613.1	105.0	L	23	1050.0	L	26	-	-	-
LNU941	78613.5	92.5	0.13	8	937.5	0.05	12	-	-	-
LNU941	78615.3	91.2	0.20	7	-	-	-	12.2	0.29	10
LNU925	78991.5	-	-	-	-	-	-	12.1	0.24	8
LNU925	78992.1	-	-	-	-	-	-	11.8	0.17	6
LNU925	78992.6	-	-	-	951.8	0.04	14	-	-	-
LNU922	78290.1	-	-	-	956.2	0.29	14	-	-	-
LNU918	78433.1	-	-	-	-	-	-	11.6	0.06	4
LNU918	78433.2	99.4	0.02	16	906.2	0.22	8	11.8	0.17	6
LNU918	78433.3	98.1	0.02	15	-	-	-	-	-	-
LNU918	78433.8	-	-	-	975.0	0.01	17	12.1	L	8
LNU918	78434.2	93.1	0.19	9	925.0	0.07	11	-	-	-
LNU915	78426.1	107.5	0.20	26	1025.0	0.03	23	-	-	-
LNU915	78427.1	101.4	0.28	19	964.3	0.07	15	-	-	-
LNU915	78428.1	108.1	0.03	26	1056.2	L	26	12.6	L	13
LNU915	78428.2	-	-	-	931.2	0.29	11	11.6	0.07	4
LNU909	78424.3	91.2	0.20	7	-	-	-	11.8	0.03	6
LNU909	78425.4	-	-	-	943.8	0.04	13	-	-	-
LNU909	78425.5	118.1	0.07	38	1062.5	L	27	12.7	L	14
LNU909	78425.7	90.6	0.24	6	-	-	-	-	-	-
LNU890	78202.1	-	-	-	-	-	-	12.4	L	12
LNU854	78236.1	93.1	0.19	9	-	-	-	-	-	-
LNU854	78236.3	-	-	-	885.7	0.28	6	-	-	-
LNU854	78238.1	91.9	0.16	7	-	-	-	11.8	0.22	6
LNU854	78240.1	-	-	-	-	-	-	11.6	0.23	4
LNU849	78498.3	-	-	-	968.8	0.02	16	-	-	-
LNU849	78498.4	-	-	-	1018.8	0.02	22	-	-	-
LNU849	78499.1	93.8	0.08	10	-	-	-	-	-	-
LNU849	78500.1	-	-	-	893.8	0.23	7	-	-	-
LNU849	78500.3	-	-	-	-	-	-	12.2	0.29	10
LNU830	78741.1	-	-	-	918.8	0.16	10	-	-	-
LNU830	78741.3	-	-	-	925.0	0.18	11	11.4	0.15	3
LNU830	78741.5	-	-	-	-	-	-	13.2	0.27	19
LNU824	77826.1	100.0	0.02	17	956.2	0.02	14	12.6	0.28	13
LNU824	77827.2	110.2	0.12	29	974.1	0.01	17	11.6	0.07	4
LNU824	77828.4	-	-	-	925.0	0.07	11	11.8	0.22	6
LNU824	77829.3	103.1	0.28	21	950.0	0.11	14	11.5	0.08	3
LNU822	78623.2	108.8	0.14	27	1062.5	0.14	27	11.9	L	7
LNU822	78623.6	115.6	L	35	1056.2	0.03	26	12.1	L	8
LNU822	78623.7	-	-	-	-	-	-	12.2	0.06	10
LNU822	78625.7	91.2	0.19	7	-	-	-	-	-	-
LNU813	77681.3	94.4	0.14	10	918.8	0.10	10	-	-	-
LNU813	77682.3	97.5	0.02	14	881.2	0.30	5	-	-	-
LNU813	77685.1	-	-	-	918.8	0.08	10	-	-	-
LNU813	77685.2	95.6	0.19	12	-	-	-	-	-	-
LNU806	78512.7	98.1	0.20	15	918.8	0.10	10	-	-	-
LNU806	78514.2	-	-	-	987.5	0.30	18	12.8	0.16	15
LNU806	78515.3	98.8	0.15	15	-	-	-	-	-	-
LNU806	78515.4	-	-	-	950.0	0.05	14	12.5	0.19	12
LNU806	78515.5	95.6	0.27	12	1037.5	0.12	24	12.5	0.25	12
LNU802	80307.3	94.4	0.08	10	-	-	-	-	-	-
LNU802	80309.2	-	-	-	-	-	-	11.5	0.14	3
LNU802	80309.3	101.9	0.25	19	943.8	0.04	13	11.6	0.06	4
LNU802	80310.1	93.1	0.12	9	975.0	0.01	17	-	-	-
LNU779	77887.2	111.2	0.30	30	975.0	0.01	17	12.2	L	10
LNU779	77889.3	90.0	0.29	5	-	-	-	-	-	-
LNU761	78157.1	99.1	0.23	16	983.0	0.10	18	-	-	-
LNU761	78157.6	96.2	0.06	13	925.0	0.07	11	-	-	-
LNU761	78160.3	104.4	0.21	22	-	-	-	12.6	0.07	13
CONT.	-	85.5	-	-	835.7	-	-	11.1	-	-
LNU970	78389.7	-	-	-	-	-	-	9.88	0.02	6
LNU970	78389.8	-	-	-	-	-	-	10.2	0.04	9
LNU968	77919.4	-	-	-	-	-	-	9.62	0.21	3
LNU950	78913.4	-	-	-	-	-	-	9.56	0.22	3
LNU934	79007.5	-	-	-	-	-	-	9.69	0.08	4
LNU934	79008.3	-	-	-	-	-	-	9.56	0.22	3
LNU908	79736.2	-	-	-	-	-	-	9.56	0.22	3
LNU908	79738.5	-	-	-	-	-	-	9.56	0.22	3
LNU843	78962.4	-	-	-	-	-	-	9.81	0.15	5
LNU843	78963.2	-	-	-	-	-	-	9.62	0.21	3
LNU790	78886.2	-	-	-	-	-	-	10.8	0.30	15
LNU790	78886.3	-	-	-	-	-	-	9.69	0.24	4
LNU790	78890.3	-	-	-	-	-	-	9.62	0.21	3
CONT.	-	-	-	-	-	-	-	9.32	-	-
LNU966	78604.1	275.0	0.06	8	3195.8	0.05	12	-	-	-
LNU966	78605.5	-	-	-	-	-	-	11.8	0.26	8
LNU942	77243.2	-	-	-	-	-	-	11.6	L	6
LNU941	78611.1	272.1	0.14	7	3107.1	0.13	9	-	-	-
LNU941	78614.2	-	-	-	-	-	-	11.3	0.09	4
LNU941	78615.3	280.0	0.01	10	150.0	L	11	-	-	-
LNU922	78287.3	276.6	0.19	8	3225.9	0.06	13	11.8	0.10	8
LNU922	78287.5	275.4	0.25	8	-	-	-	-	-	-
LNU922	78290.1	-	-	-	3121.4	L	10	-	-	-
LNU922	78290.7	-	-	-	3031.2	0.28	7	-	-	-
LNU915	78426.1	-	-	-	2937.5	0.23	3	-	-	-
LNU915	78427.1	-	-	-	-	-	-	11.8	0.10	8
LNU915	78428.1	-	-	-	3191.1	0.25	12	11.6	0.14	6
LNU915	78428.2	-	-	-	-	-	-	11.6	0.01	6
LNU909	78424.3	267.1	0.23	5	-	-	-	-	-	-
LNU909	78425.5	266.9	0.13	5	3088.4	0.01	9	-	-	-
LNU909	78425.7	273.1	0.02	7	031.2	0.09	7	-	-	-
LNU868	77621.5	-	-	-	-	-	-	11.5	0.02	5
LNU854	78237.2	-	-	-	-	-	-	11.8	0.26	8
LNU854	78238.1	-	-	-	3093.8	0.11	9	-	-	-
LNU830	78741.3	-	-	-	-	-	-	11.3	0.18	3
LNU830	78741.5	-	-	-	-	-	-	11.2	0.23	2
LNU824	77826.1	266.2	0.16	4	-	-	-	-	-	-
LNU824	77827.3	266.2	0.11	4	3000.0	0.07	6	-	-	-
LNU824	77829.3	-	-	-	2987.5	0.09	5	11.6	0.27	6
LNU822	78623.7	-	-	-	3032.1	0.04	7	-	-	-
LNU822	78625.2	-	-	-	3012.5	0.06	6	-	-	-
LNU813	77681.3	-	-	-	-	-	-	11.6	0.02	6
LNU813	77681.4	-	-	-	-	-	-	11.6	0.09	6
LNU806	78514.2	-	-	-	-	-	-	12.1	0.10	10
LNU806	78515.3	-	-	-	3031.2	0.04	7	11.6	0.02	6
LNU806	78515.5	-	-	-	2992.9	0.08	5	-	-	-
LNU759	77236.8	-	-	-	2950.0	0.18	4	-	-	-
LNU751	77477.1	-	-	-	-	-	-	12.0	0.25	10
LNU751	77480.1	-	-	-	3118.8	0.20	10	-	-	-
CONT.	-	255.1	-	-	2842.4	-	-	10.9	-	-
LNU948	78378.1	83.1	0.02	17	-	-	-	-	-	-
LNU948	78380.2	84.8	0.02	19	-	-	-	-	-	-
LNU921	79063.2	78.6	0.16	10	628.6	0.22	12	-	-	-
LNU888	78771.1	84.4	0.06	18	-	-	-	12.2	L	9
LNU888	78772.7	-	-	-	-	-	-	11.8	0.06	5
LNU881	78372.2	79.4	0.04	11	650.0	0.07	16	-	-	-
LNU857	78867.1	77.2	0.11	8	627.7	0.15	12	-	-	-
LNU816	78958.4	78.8	0.12	11	618.8	0.22	10	-	-	-
LNU816	78958.5	91.2	L	28	693.8	0.02	23	-	-	-
LNU816	78958.7	90.0	L	26	718.8	0.01	28	-	-	-
LNU809	79168.2	-	-	-	618.8	0.19	10	-	-	-
LNU809	79168.3	79.4	0.15	11	618.8	0.19	10	11.5	0.23	3
LNU807	79248.1	-	-	-	625.0	0.15	11	-	-	-
LNU788	78516.1	86.7	L	22	660.7	0.05	17	-	-	-
LNU788	78517.2	76.2	0.14	7	637.5	0.11	13	-	-	-
LNU788	78518.1	87.5	L	23	693.8	0.02	23	-	-	-
LNU783	79178.2	80.0	0.03	12	650.0	0.07	16	-	-	-
LNU778	78941.1	81.9	0.02	15	637.5	0.10	13	-	-	-
LNU778	78944.2	-	-	-	-	-	-	11.5	0.28	3
LNU762	79329.2	78.1	0.10	10	612.5	0.24	9	-	-	-
LNU752	78153.10	92.5	0.04	30	700.0	0.03	24	11.6	0.30	4
LNU752	78155.2	82.2	0.11	15	-	-	-	-	-	-
CONT.	-	71.2	-	-	562.5	-	-	11.2	-	-
LNU977	78032.1	162.5	0.16	11	-	-	-	11.6	0.08	2
LNU977	78033.1	167.5	0.29	15	-	-	-	-	-	-
LNU958	77687.7	165.0	0.19	13	-	-	-	-	-	-
LNU958	77689.2	178.8	0.02	22	1450.0	0.21	12	-	-	-
LNU933	78897.1	168.1	0.19	15	-	-	-	-	-	-
LNU907	78872.8	162.1	0.17	11	-	-	-	-	-	-
LNU882	78973.1	-	-	-	-	-	-	11.8	0.10	4
LNU880	78196.1	180.6	0.01	24	1503.6	0.13	16	-	-	-
LNU880	78197.4	167.9	0.08	15	-	-	-	-	-	-
LNU880	78200.6	197.9	L	35	1456.2	0.24	13	11.6	0.19	2
LNU871	78195.4	-	-	-	-	-	-	12.2	L	7
LNU848	77909.2	170.0	0.06	16	-	-	-	-	-	-
LNU848	77909.3	178.1	0.14	22	1450.0	0.23	12	-	-	-
LNU847	78967.2	197.5	0.02	35	1543.8	0.09	19	12.2	0.22	8
LNU847	78967.4	-	-	-	-	-	-	11.9	L	5
LNU846	78436.2	-	-	-	-	-	-	12.4	0.09	9
LNU846	78438.2	184.4	0.13	26	-	-	-	11.9	0.23	5
LNU846	78439.2	-	-	-	-	-	-	11.6	0.21	2
LNU846	78439.4	-	-	-	-	-	-	12.1	0.08	6
LNU845	78917.3	194.2	0.10	33	1520.8	0.19	18	-	-	-
LNU845	78917.6	173.1	0.16	18	-	-	-	-	-	-
LNU835	78186.2	204.4	0.27	40	1506.2	0.21	16	-	-	-
LNU828	77598.3	193.8	0.29	33	-	-	-	12.2	0.11	8
LNU823	78122.2	178.1	0.02	22	-	-	-	-	-	-
LNU823	78136.4	166.2	0.12	14	-	-	-	-	-	-
LNU823	78139.1	174.5	0.03	19	-	-	-	-	-	-
LNU814	78953.2	179.4	0.02	23	1500.0	0.13	16	-	-	-
LNU814	78953.3	177.5	0.02	21	-	-	-	11.9	0.05	5
LNU814	78954.1	-	-	-	-	-	-	12.1	0.23	6
LNU814	78955.4	188.8	L	29	1493.8	0.14	15	-	-	-
LNU772	78938.1	-	-	-	-	-	-	12.0	0.03	6
LNU772	78940.2	-	-	-	-	-	-	11.8	0.17	4
LNU757	77485.4	210.6	0.02	44	1612.5	0.06	25	-	-	-
CONT.	-	146.2	-	-	1293.4	-	-	11.4	-	-
LNU972	78907.1	-	-	-	-	-	-	11.7	0.08	6
LNU972	78908.2	-	-	-	-	-	-	11.9	0.05	9
LNU972	78909.3	-	-	-	-	-	-	11.9	0.03	9
LNU972	78910.2	-	-	-	3500.9	0.13	21	-	-	-
LNU961	79143.3	350.0	0.04	16	3556.2	0.07	23	11.6	0.14	5
LNU961	79145.3	-	-	-	3562.5	0.02	23	11.8	0.15	8
LNU958	77687.2	-	-	-	-	-	-	12.7	0.25	16
LNU958	77687.5	-	-	-	-	-	-	12.1	0.02	10
LNU958	77689.1	-	-	-	3200.0	0.20	10	12.2	L	12
LNU958	77689.2	-	-	-	-	-	-	11.6	0.28	5
LNU948	78379.4	-	-	-	-	-	-	12.1	0.04	10
LNU948	78380.2	380.6	0.04	27	3618.8	0.01	25	12.3	0.05	12
LNU948	78380.3	358.1	0.24	19	3618.8	0.12	25	-	-	-
LNU921	79061.1	-	-	-	3163.4	0.26	9	-	-	-
LNU921	79063.2	-	-	-	-	-	-	12.0	0.14	9
LNU921	79064.3	-	-	-	-	-	-	11.4	0.28	4
LNU913	78592.4	-	-	-	-	-	-	11.9	0.20	9
LNU913	78593.1	-	-	-	-	-	-	12.1	0.03	10
LNU913	78593.6	-	-	-	-	-	-	12.0	0.14	9
LNU912	78403.2	-	-	-	-	-	-	12.4	L	13
LNU912	78404.1	342.5	0.28	14	-	-	-	11.7	0.08	6
LNU888	78772.1	-	-	-	-	-	-	11.9	0.05	9
LNU888	78772.2	-	-	-	-	-	-	11.8	0.07	8
LNU888	78772.7	-	-	-	-	-	-	11.6	0.12	6
LNU881	78372.2	-	-	-	-	-	-	12.5	0.06	14
LNU881	78373.1	344.4	0.04	15	-	-	-	12.0	0.14	9
LNU881	78373.2	-	-	-	-	-	-	12.3	0.05	12
LNU881	78374.1	343.3	0.27	14	-	-	-	-	-	-
LNU823	78136.1	353.8	0.01	18	3318.8	0.09	15	-	-	-
LNU823	78136.4	-	-	-	-	-	-	12.4	0.04	13
LNU823	78137.3	-	-	-	-	-	-	11.5	0.27	5
LNU823	78139.1	397.1	0.08	32	-	-	-	-	-	-
LNU816	78957.1	-	-	-	-	-	-	11.6	0.12	6
LNU816	78958.4	-	-	-	-	-	-	11.9	0.03	9
LNU816	78958.7	-	-	-	-	-	-	12.8	0.04	16
LNU809	79168.3	-	-	-	-	-	-	11.6	0.14	5
LNU809	79169.2	-	-	-	3212.5	0.19	11	11.6	0.14	5
LNU782	77441.1	350.0	0.17	16	-	-	-	-	-	-
LNU782	77444.10	-	-	-	-	-	-	11.6	0.14	5
LNU782	77444.9	-	-	-	-	-	-	12.1	0.08	10
LNU772	78937.4	335.6	0.13	12	3468.8	0.05	20	-	-	-
LNU772	78938.1	433.1	L	44	3181.2	0.23	10	13.0	0.08	18
LNU772	8940.2	-	-	-	-	-	-	11.8	0.15	8
LNU762	79329.2	-	-	-	-	-	-	11.9	0.20	9
LNU762	79330.3	-	-	-	3287.5	0.12	13	-	-	-
LNU757	77481.1	-	-	-	-	-	-	11.9	0.04	8
LNU757	77483.2	-	-	-	-	-	-	11.6	0.29	6
LNU757	77483.3	-	-	-	-	-	-	12.3	0.01	12
LNU757	77485.4	346.9	0.08	15	-	-	-	-	-	-
CONT.	-	300.5	-	-	2898.0	-	-	11.0	-	-
LNU933	78897.1	-	-	-	-	-	-	12.8	L	5
LNU882	78973.1	-	-	-	-	-	-	12.9	0.18	6
LNU871	78191.1	-	-	-	1093.8	0.19	7	-	-	-
LNU871	78191.3	163.1	0.27	10	1112.5	0.11	8	-	-	-
LNU871	78195.4	-	-	-	-	-	-	13.1	L	7
LNU865	79761.7	-	-	-	1162.5	0.02	13	13.1	L	8
LNU847	78967.4	-	-	-	-	-	-	13.3	0.22	9
LNU835	78189.1	-	-	-	-	-	-	13.1	0.12	8
LNU828	77597.3	165.6	0.24	11	1131.2	0.18	10	-	-	-
LNU795	79521.6	-	-	-	1112.5	0.29	8	-	-	-
LNU766	78931.2	-	-	-	-	-	-	12.7	0.17	4
LNU766	78932.1	-	-	-	1100.0	0.20	7	-	-	-
CONT.	-	148.6	-	-	1026.5	-	-	12.2	-	-
LNU975	80622.1	-	-	-	-	-	-	10.5	0.01	8
LNU975	80624.5	-	-	-	-	-	-	10.7	L	10
LNU975	80625.5	-	-	-	-	-	-	10.2	L	5
LNU971	78391.1	9.38	0.16	22	-	-	-	-	-	-
LNU971	78391.6	-	-	-	-	-	-	10.1	0.03	4
LNU971	78395.1	-	-	-	131.2	0.12	17	10.1	0.30	3
LNU971	78395.2	10.7	0.04	39	135.7	0.09	21	-	-	-
LNU964	80552.8	-	-	-	-	-	-	10.0	0.26	3
LNU960	78599.4	-	-	-	-	-	-	10.1	0.11	4
LNU960	78600.3	-	-	-	-	-	-	10.2	0.05	5
LNU957	80435.3	-	-	-	-	-	-	10.1	0.03	4
LNU957	80437.6	-	-	-	-	-	-	10.3	L	6
LNU957	80437.8	10.0	0.26	30	-	-	-	-	-	-
LNU955	80432.1	-	-	-	-	-	-	10.1	0.30	3
LNU953	80427.1	8.75	0.23	14	-	-	-	-	-	-
LNU953	80428.1	-	-	-	-	-	-	10.1	0.08	3
LNU953	80429.1	-	-	-	-	-	-	10.0	0.26	3
LNU949	80553.7	-	-	-	-	-	-	10.3	0.12	6
LNU949	80557.4	8.75	0.23	14	-	-	-	-	-	-
LNU946	80648.1	-	-	-	-	-	-	10.2	0.05	5
LNU946	80648.2	10.0	0.02	30	-	-	-	-	-	-
LNU946	80650.2	9.29	0.21	21	-	-	-	-	-	-
LNU944	79781.2	-	-	-	-	-	-	9.94	0.27	2
LNU944	79781.6	-	-	-	-	-	-	10.1	0.03	4
LNU930	79771.1	-	-	-	-	-	-	10.0	0.13	3
LNU928	78213.1	-	-	-	-	-	-	10.1	0.30	3
LNU917	77496.2	-	-	-	-	-	-	10.2	0.05	5
LNU917	77500.2	-	-	-	137.5	0.24	22	10.1	0.11	4
LNU917	77500.4	-	-	-	137.5	0.24	22	-	-	-
LNU917	77500.6	-	-	-	-	-	-	10.6	L	8
LNU906	79219.5	-	-	-	-	-	-	10.2	0.18	4
LNU904	78986.5	-	-	-	-	-	-	9.94	0.27	2
LNU904	78987.2	-	-	-	-	-	-	10.2	0.18	4
LNU903	80417.4	10.6	0.03	38	-	-	-	-	-	-
LNU901	80474.1	-	-	-	126.8	0.13	13	-	-	-
LNU901	80474.5	-	-	-	-	-	-	10.4	0.18	6
LNU899	79765.4	9.38	0.16	22	131.2	0.12	17	-	-	-
LNU899	79765.5	-	-	-	-	-	-	10.2	0.18	4
LNU899	79766.3	-	-	-	-	-	-	10.0	0.26	3
LNU897	80445.2	11.9	0.23	54	150.0	L	33	11.1	L	13
LNU897	80448.4	-	-	-	-	-	-	10.1	0.08	3
LNU892	80410.1	-	-	-	125.0	0.17	11	-	-	-
LNU892	80414.2	12.0	L	55	-	-	-	-	-	-
LNU892	80414.5	-	-	-	-	-	-	10.3	L	6
LNU884	80405.3	-	-	-	-	-	-	10.5	0.26	8
LNU884	80407.1	-	-	-	-	-	-	10.5	L	8
LNU884	80408.2	-	-	-	137.5	0.24	22	10.1	0.11	4
LNU874	78366.3	10.0	0.26	30	-	-	-	10.1	0.03	4
LNU874	78370.1	-	-	-	162.5	0.27	44	-	-	-
LNU874	78370.3	-	-	-	133.9	0.17	19	-	-	-
LNU874	78370.7	-	-	-	-	-	-	10.2	0.18	4
LNU873	80469.1	-	-	-	125.0	0.17	11	10.6	L	8
LNU870	78505.1	8.75	0.23	14	131.2	0.12	17	-	-	-
LNU870	78505.5	11.2	0.14	46	-	-	-	10.1	0.30	3
LNU867	79590.3	-	-	-	-	-	-	9.94	0.27	2
LNU866	80443.2	-	-	-	-	-	-	10.3	0.12	6
LNU862	79758.5	11.2	0.14	46	156.2	L	39	11.1	L	13
LNU856	79753.3	-	-	-	-	-	-	9.94	0.27	2
LNU856	79753.9	8.66	0.27	13	-	-	-	9.94	0.27	2
LNU852	79580.2	9.38	0.16	22	-	-	-	-	-	-
LNU831	79331.7	-	-	-	131.2	0.12	17	10.2	0.24	5
LNU831	79333.1	8.75	0.23	14	-	-	-	-	-	-
LNU831	79335.2	-	-	-	-	-	-	10.4	L	7
LNU829	77912.3	-	-	-	-	-	-	10.4	L	6
LNU829	77914.1	-	-	-	-	-	-	10.6	0.11	9
LNU825	77716.4	-	-	-	-	-	-	10.1	0.08	3
LNU825	77717.4	10.0	0.26	30	-	-	-	-	-	-
LNU817	80596.1	-	-	-	-	-	-	10.3	L	6
LNU817	80596.2	9.38	0.16	22	125.0	0.17	11	-	-	-
LNU817	80598.1	-	-	-	125.0	0.17	11	-	-	-
LNU817	80599.2	8.75	0.23	14	-	-	-	10.1	0.11	4
LNU805	80783.2	-	-	-	-	-	-	10.0	0.26	3
LNU805	80784.1	-	-	-	-	-	-	10.2	0.05	5
LNU800	77896.1	-	-	-	-	-	-	10.0	0.26	3
LNU800	77896.4	-	-	-	137.5	0.24	22	10.2	0.18	4
LNU800	77900.7	8.75	0.23	14	-	-	-	-	-	-
LNU799	78672.5	-	-	-	-	-	-	10.4	0.18	6
LNU799	78672.7	-	-	-	162.5	0.08	44	-	-	-
LNU799	78674.2	9.38	0.16	22	-	-	-	-	-	-
LNU799	78674.5	-	-	-	150.0	0.13	33	10.2	0.05	5
LNU796	78235.5	-	-	-	-	-	-	10.1	0.11	4
LNU794	78522.1	-	-	-	131.2	0.12	17	10.4	0.03	6
LNU794	78524.1	10.0	0.02	30	-	-	-	-	-	-
LNU794	78524.5	-	-	-	-	-	-	10.2	0.24	5
LNU794	78525.2	-	-	-	-	-	-	10.1	0.11	4
LNU792	79161.2	-	-	-	-	-	-	10.6	L	8
LNU792	79162.2	-	-	-	-	-	-	10.3	L	6
LNU792	79215.1	-	-	-	-	-	-	10.2	0.18	4
LNU778	78943.5	-	-	-	-	-	-	10.5	0.01	8
LNU778	78944.5	11.9	L	54	137.5	0.01	22	-	-	-
LNU773	80399.1	-	-	-	-	-	-	10.4	0.08	7
LNU771	80077.2	-	-	-	125.0	0.17	11	-	-	-
LNU763	77588.2	-	-	-	-	-	-	10.2	0.24	5
LNU763	77588.6	10.0	0.26	30	125.0	0.17	11	10.4	0.08	7
LNU758	79739.10	10.6	0.03	38	150.0	0.13	33	11.2	0.12	15
LNU758	79739.5	-	-	-	-	-	-	10.2	0.02	4
LNU758	79741.2	-	-	-	-	-	-	10.1	0.11	4
LNU753	77141.2	-	-	-	125.0	0.17	11	-	-	-
LNU753	77143.3	-	-	-	-	-	-	9.94	0.27	2
LNU753	77144.1	9.38	0.16	22	131.2	0.12	17	10.2	0.24	5
LNU753	77144.2	-	-	-	-	-	-	10.0	0.26	3
LNU749	80792.2	-	-	-	125.0	0.17	11	10.0	0.26	3
CONT.	-	7.70	-	-	112.5	-	-	9.75	-	-
LNU976	78364.1	-	-	-	-	-	-	12.9	0.12	6
LNU968	77919.4	-	-	-	1231.2	0.03	8	-	-	-
LNU963	78385.1	-	-	-	-	-	-	12.8	0.07	6
LNU950	78911.3	-	-	-	1212.5	0.08	6	-	-	-
LNU934	79007.3	-	-	-	-	-	-	12.8	0.07	6
LNU934	79008.3	122.1	0.15	5	-	-	-	-	-	-
LNU908	79736.2	134.4	0.28	16	1312.5	0.10	15	-	-	-
LNU893	77154.4	-	-	-	-	-	-	13.4	L	10
LNU885	78416.5	125.0	0.05	8	1300.0	0.05	14	-	-	-
LNU858	79587.2	-	-	-	-	-	-	12.6	0.06	4
LNU790	78886.2	-	-	-	-	-	-	12.6	0.22	4
LNU790	78890.1	134.4	0.06	16	1237.5	0.07	8	12.6	0.18	4
CONT.	-	116.2	-	-	1141.1	-	-	12.1	-	-
LNU947	77448.4	-	-	-	-	-	-	12.7	0.03	6
LNU947	77449.1	-	-	-	-	-	-	12.4	0.22	3
LNU940	77811.6	-	-	-	-	-	-	12.6	0.13	5
LNU900	78851.3	-	-	-	-	-	-	12.4	0.22	3
LNU898	78981.3	-	-	-	-	-	-	12.3	0.26	2
LNU898	78983.4	-	-	-	-	-	-	12.9	0.09	7
LNU898	78985.1	-	-	-	1393.8	0.16	14	-	-	-
LNU894	78282.3	-	-	-	-	-	-	12.4	0.22	3
LNU894	78283.7	-	-	-	-	-	-	12.9	0.03	8
LNU846	78436.2	-	-	-	1368.8	0.04	12	-	-	-
LNU846	78438.2	-	-	-	-	-	-	12.4	0.22	3
LNU846	78439.4	-	-	-	1393.8	0.02	14	12.9	0.03	8
LNU820	77806.2	227.0	0.06	37	1410.7	0.11	15	-	-	-
LNU820	77807.2	-	-	-	-	-	-	12.5	0.11	4
LNU820	77809.1	-	-	-	1413.4	0.26	16	-	-	-
LNU815	77492.2	193.1	0.05	17	1343.8	0.21	10	-	-	-
LNU815	77492.6	-	-	-	1331.2	0.12	9	-	-	-
LNU815	77494.1	-	-	-	1337.5	0.07	10	12.9	0.03	8
LNU814	78953.2	-	-	-	-	-	-	12.3	0.26	2
LNU814	78955.4	-	-	-	-	-	-	12.5	0.08	4
LNU811	78179.1	-	-	-	1412.5	0.03	16	12.8	0.28	7
LNU811	78180.3	-	-	-	1300.0	0.19	6	-	-	-
LNU797	78022.1	-	-	-	-	-	-	12.5	0.25	4
LNU793	78166.4	-	-	-	1325.0	0.23	8	-	-	-
LNU759	77236.2	-	-	-	-	-	-	12.3	0.26	2
LNU756	77581.3	-	-	-	-	-	-	12.8	0.25	6
LNU756	77584.6	-	-	-	1285.7	0.28	5	-	-	-
LNU751	77477.1	-	-	-	1416.1	0.09	16	-	-	-
LNU751	77478.4	-	-	-	-	-	-	12.4	0.22	3
LNU751	77480.1	-	-	-	-	-	-	12.6	0.04	5
CONT.	-	165.1	-	-	1221.4	-	-	12.0	-	-
LNU972	78909.3	-	-	-	1531.2	0.28	5	12.4	0.09	5
LNU972	78910.2	-	-	-	1506.2	0.28	4	-	-	-
LNU965	78360.5	-	-	-	-	-	-	12.2	0.13	4
LNU961	79143.2	-	-	-	1568.8	0.30	8	-	-	-
LNU961	79145.3	-	-	-	1525.0	0.14	5	-	-	-
LNU943	78407.2	-	-	-	-	-	-	12.1	0.26	3
LNU943	78407.4	-	-	-	1581.2	0.02	9	-	-	-
LNU926	78858.8	-	-	-	-	-	-	12.1	0.26	3
LNU913	78593.1	-	-	-	-	-	-	12.4	0.09	5
LNU896	78979.5	-	-	-	1531.2	0.11	5	-	-	-
LNU876	79596.2	-	-	-	1525.0	0.18	5	-	-	-
LNU864	79339.2	195.8	0.20	7	1617.0	0.08	11	-	-	-
LNU833	78184.1	-	-	-	-	-	-	12.1	0.26	3
LNU804	78950.4	-	-	-	1537.5	0.13	6	-	-	-
LNU789	78891.6	-	-	-	1766.7	0.30	22	-	-	-
LNU789	78893.3	-	-	-	1500.0	0.30	3	-	-	-
LNU768	77881.3	194.4	0.26	6	1537.5	0.21	6	-	-	-
LNU768	77883.4	198.1	0.13	8	1581.2	0.02	9	-	-	-
LNU764	78926.1	214.4	0.28	17	1618.8	0.07	11	12.4	0.17	5
CONT.	-	183.8	-	-	1453.6	-	-	11.7	-	-
Table 123. “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant.

Genes showing improved plant biomass production at limiting nitrogen growth conditions
Gene Name	Event #	Plot Coverage [cm2]	Rosette Area [cm2]	Rosette Diameter [cm]
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU952	78218.1	49.8	0.02	19	6.23	0.02	19	4.62	0.02	12
LNU952	78218.3	45.0	0.24	7	5.62	0.24	7	4.37	0.09	6
LNU952	78218.6	46.3	0.24	11	5.79	0.24	11	4.33	0.22	5
LNU952	78219.3	47.1	0.08	12	5.88	0.08	12	4.51	0.04	9
LNU945	78998.2	45.8	0.20	9	5.72	0.20	9	4.45	0.12	8
LNU920	78507.1	52.9	0.08	26	6.62	0.08	26	4.94	0.06	20
LNU920	78507.2	45.8	0.25	9	5.73	0.25	9	4.35	0.11	6
LNU920	78508.1	51.6	L	23	6.45	L	23	4.72	L	15
LNU920	78508.2	53.6	L	28	6.70	L	28	4.84	L	18
LNU916	78208.3	50.8	0.02	21	6.35	0.02	21	4.63	L	12
LNU914	80514.5	46.2	0.15	10	5.78	0.15	10	4.36	0.15	6
LNU914	80516.2	50.4	0.14	20	6.29	0.14	20	4.71	L	14
LNU914	80516.4	-	-	-	-	-	-	4.50	0.03	9
LNU911	80420.3	46.2	0.12	10	5.77	0.12	10	4.36	0.09	6
LNU911	80424.2	46.3	0.12	10	5.78	0.12	10	4.43	0.05	7
LNU905	79674.3	47.4	0.08	13	5.92	0.08	13	4.51	0.09	9
LNU905	79674.4	-	-	-	-	-	-	4.40	0.08	7
LNU905	79675.3	51.5	L	23	6.44	L	23	4.65	L	13
LNU844	80342.3	-	-	-	-	-	-	4.27	0.27	4
LNU844	80342.4	-	-	-	-	-	-	4.32	0.29	5
LNU840	78676.1	49.2	0.02	17	6.15	0.02	17	4.71	L	14
LNU840	78676.4	52.9	0.09	26	6.62	0.09	26	4.74	0.05	15
LNU840	78763.6	46.7	0.10	11	5.83	0.10	11	4.45	0.04	8
LNU834_H1	80402.7	47.6	0.21	14	5.95	0.21	14	4.47	0.23	8
LNU832_H2	80604.2	48.2	0.06	15	6.03	0.06	15	4.58	0.11	11
LNU819	78133.3	-	-	-	-	-	-	4.56	0.02	11
LNU801	78585.2	45.6	0.29	9	5.70	0.29	9	4.42	0.20	7
LNU791	77893.1	54.0	0.01	29	6.74	0.01	29	4.86	L	18
LNU791	77893.2	48.8	0.03	16	6.09	0.03	16	4.52	0.04	10
LNU760_H1	80127.2	51.7	0.17	23	6.47	0.17	23	4.65	0.05	13
CONT.	-	41.9	-	-	5.24	-	-	4.12	-	-
LNU966	78605.5	81.2	0.03	38	10.2	0.03	38	5.22	0.05	15
LNU966	78605.7	72.2	L	22	9.03	L	22	4.94	0.01	9
LNU941	78611.1	67.9	L	15	8.48	L	15	4.67	0.22	3
LNU941	78613.1	75.3	0.03	27	9.41	0.03	27	5.10	L	13
LNU941	78615.3	75.2	L	27	9.40	L	27	5.03	L	11
LNU925	78992.1	77.2	0.26	31	9.65	0.26	31	5.18	0.21	15
LNU925	78992.6	62.1	0.26	5	7.76	0.26	5	-	-	-
LNU918	78433.1	-	-	-	-	-	-	4.73	0.23	5
LNU918	78433.2	69.7	0.21	18	8.72	0.21	18	4.90	0.23	8
LNU918	78433.3	70.2	L	19	8.78	L	19	4.85	0.02	7
LNU918	78434.2	65.6	0.02	11	8.21	0.02	11	4.82	0.03	6
LNU915	78426.1	71.3	L	21	8.91	L	21	5.05	L	12
LNU915	78427.1	69.8	0.29	18	8.73	0.29	18	-	-	-
LNU915	78428.1	78.8	L	33	9.85	L	33	5.14	L	14
LNU915	78428.2	66.3	0.27	12	8.28	0.27	12	-	-	-
LNU909	78424.3	69.3	0.29	17	8.66	0.29	17	-	-	-
LNU909	78425.4	-	-	-	-	-	-	5.10	0.05	13
LNU909	78425.5	81.3	0.25	38	10.2	0.25	38	5.29	0.20	17
LNU909	78425.7	67.8	0.14	15	8.48	0.14	15	4.83	0.15	7
LNU890	78202.1	74.4	L	26	9.30	L	26	4.84	0.08	7
LNU854	78236.1	62.9	0.14	6	7.86	0.14	6	4.67	0.22	3
LNU854	78238.1	68.7	L	16	8.59	L	16	4.74	0.11	5
LNU849	78498.4	72.6	L	23	9.08	L	23	4.93	0.09	9
LNU849	78499.1	69.3	0.04	17	8.66	0.04	17	4.84	0.29	7
LNU830	78741.5	79.8	0.17	35	9.98	0.17	35	5.18	0.20	15
LNU830	78742.8	63.8	0.20	8	7.97	0.20	8	-	-	-
LNU824	77826.1	82.9	0.20	40	10.4	0.20	40	5.40	0.11	19
LNU824	77827.3	64.6	0.20	9	8.08	0.20	9	-	-	-
LNU824	77828.4	69.4	0.04	18	8.68	0.04	18	4.73	0.11	5
LNU824	77829.3	73.8	0.05	25	9.22	0.05	25	4.97	0.10	10
LNU822	78623.2	82.2	0.27	39	10.3	0.27	39	5.29	0.22	17
LNU822	78623.6	87.8	L	49	11.0	L	49	5.56	0.04	23
LNU822	78623.7	74.0	0.21	25	9.26	0.21	25	4.96	0.14	10
LNU822	78625.2	75.9	0.29	28	9.48	0.29	28	5.12	0.25	13
LNU813	77682.3	77.3	0.16	31	9.66	0.16	31	5.20	L	15
LNU806	78514.2	87.1	0.02	47	10.9	0.02	47	5.61	L	24
LNU806	78515.3	69.3	L	17	8.66	L	17	4.75	0.10	5
LNU806	78515.4	-	-	-	-	-	-	4.87	0.26	8
LNU806	78515.5	76.4	L	29	9.55	L	29	4.98	L	10
LNU802	80307.3	65.9	0.03	12	8.24	0.03	12	4.68	0.20	3
LNU802	80309.2	67.0	0.27	13	8.38	0.27	13	-	-	-
LNU802	80309.3	67.3	0.09	14	8.41	0.09	14	4.81	0.04	6
LNU802	80310.1	67.1	0.08	14	8.39	0.08	14	4.81	0.14	6
LNU779	77887.2	77.0	0.03	30	9.63	0.03	30	5.09	0.11	13
LNU761	78157.6	67.8	0.15	15	8.48	0.15	15	4.79	0.28	6
LNU761	78159.1	66.3	0.08	12	8.29	0.08	12	4.75	0.08	5
LNU761	78160.3	84.0	0.07	42	10.5	0.07	42	5.44	0.02	20
CONT.	-	59.1	-	-	7.38	-	-	4.52	-	-
LNU976	78364.1	45.6	L	47	5.71	L	47	4.19	L	25
LNU976	78364.2	34.1	0.22	10	4.27	0.22	10	-	-	-
LNU976	78364.5	-	-	-	-	-	-	3.50	0.26	4
LNU970	78388.1	36.2	0.02	17	4.52	0.02	17	3.63	0.03	8
LNU970	78389.7	33.4	0.27	8	4.18	0.27	8	3.62	0.06	8
LNU970	78389.8	44.2	0.03	42	5.52	0.03	42	4.00	L	19
LNU968	77919.4	36.5	0.01	18	4.57	0.01	18	3.66	0.02	9
LNU963	78383.4	36.6	0.07	18	4.57	0.07	18	3.65	0.27	9
LNU950	78913.4	39.1	0.12	26	4.89	0.12	26	3.74	0.18	11
LNU950	78915.2	35.7	0.03	15	4.46	0.03	15	3.66	0.04	9
LNU949	80553.5	37.5	0.22	21	4.69	0.22	21	3.74	0.21	11
LNU949	80553.8	39.6	0.01	28	4.95	0.01	28	3.69	0.16	10
LNU934	79007.5	33.2	0.27	7	4.16	0.27	7	-	-	-
LNU934	79008.1	33.9	0.14	9	4.24	0.14	9	3.64	0.15	8
LNU902	79606.5	38.2	0.03	23	4.77	0.03	23	3.77	0.10	12
LNU875	78413.4	36.3	0.29	17	4.54	0.29	17	3.68	0.22	9
LNU873	80473.4	-	-	-	-	-	-	3.73	0.27	11
LNU843	78962.4	37.7	L	22	4.71	L	22	3.67	0.02	9
LNU843	78963.2	36.3	0.11	17	4.53	0.11	17	3.68	0.08	9
LNU790	78886.2	40.8	L	31	5.10	L	31	3.72	0.08	11
LNU790	78886.3	35.0	0.04	13	4.38	0.04	13	3.67	0.07	9
LNU790	78889.2	-	-	-	-	-	-	3.59	0.07	7
LNU767	79146.1	41.6	0.09	34	5.20	0.09	34	3.85	0.15	15
LNU767	79146.2	36.5	0.01	18	4.57	0.01	18	3.72	L	11
CONT.	-	31.0	-	-	3.88	-	-	3.36	-	-
LNU941	78613.1	107.3	0.04	19	13.4	0.04	19	6.23	0.02	11
LNU941	78614.2	111.8	0.01	24	14.0	0.01	24	6.25	0.02	12
LNU941	78615.3	102.4	0.13	13	12.8	0.13	13	6.03	0.15	8
LNU918	78433.3	-	-	-	-	-	-	5.92	0.16	6
LNU915	78427.1	104.1	0.06	15	13.0	0.06	15	5.92	0.17	6
LNU915	78428.1	101.4	0.24	12	12.7	0.24	12	-	-	-
LNU909	78425.5	99.4	0.26	10	12.4	0.26	10	-	-	-
LNU868	77621.5	-	-	-	-	-	-	6.06	0.25	8
LNU854	78237.2	114.2	L	26	14.3	L	26	6.00	0.20	7
LNU849	78498.3	-	-	-	-	-	-	6.09	0.10	9
LNU849	78498.4	105.0	0.05	16	13.1	0.05	16	5.99	0.10	7
LNU830	78741.3	-	-	-	12.3	0.26	9	-	-	-
LNU830	78741.5	107.9	0.09	19	13.5	0.09	19	6.26	0.02	12
LNU813	77682.3	-	-	-	-	-	-	5.88	0.28	5
LNU813	77685.1	109.6	0.02	21	13.7	0.02	21	6.28	0.12	12
LNU806	78514.2	100.4	0.28	11	12.6	0.28	11	5.86	0.29	5
LNU806	78515.3	100.7	0.13	11	12.6	0.13	11	5.93	0.15	6
LNU806	78515.5	101.9	0.15	13	12.7	0.15	13	5.96	0.11	6
LNU780	77489.4	-	-	-	-	-	-	6.04	0.24	8
CONT.	-	90.5	-	-	11.3	-	-	5.60	-	-
LNU948	78378.1	74.9	0.04	20	9.36	0.04	20	5.02	0.18	8
LNU948	78380.2	67.9	0.07	9	8.49	0.07	9	4.84	0.22	5
LNU921	79063.2	64.6	0.28	4	8.07	0.28	4	-	-	-
LNU889	79601.4	67.5	0.08	8	8.44	0.08	8	4.83	0.19	4
LNU888	78771.1	75.6	0.22	21	9.45	0.22	21	5.13	0.29	11
LNU881	78372.2	71.0	0.07	14	8.87	0.07	14	4.95	0.07	7
LNU857	78867.2	69.8	0.27	12	8.72	0.27	12	4.95	0.27	7
LNU857	78870.1	-	-	-	-	-	-	4.77	0.22	3
LNU816	78958.5	75.0	L	20	9.37	L	20	5.17	L	12
LNU816	78958.7	76.6	0.03	23	9.58	0.03	23	5.22	L	13
LNU809	79168.2	72.6	0.24	16	9.07	0.24	16	4.98	0.20	8
LNU809	79168.3	67.9	0.26	9	8.49	0.26	9	-	-	-
LNU807	79248.1	66.3	0.13	6	8.28	0.13	6	4.81	0.10	4
LNU807	79250.2	65.0	0.22	4	8.13	0.22	4	-	-	-
LNU795	79525.1	70.5	0.01	13	8.82	0.01	13	-	-	-
LNU795	79525.5	66.0	0.15	6	8.25	0.15	6	4.80	0.11	4
LNU788	78516.1	76.3	0.07	22	9.54	0.07	22	5.11	0.30	10
LNU788	78517.2	66.7	0.07	7	8.34	0.07	7	4.86	0.06	5
LNU788	78518.1	89.3	0.11	43	11.2	0.11	43	5.59	L	21
LNU778	78941.1	72.6	0.15	16	9.07	0.15	16	4.94	0.16	7
LNU778	78944.2	70.0	0.01	12	8.75	0.01	12	4.90	0.16	6
LNU752	78153.10	75.8	0.26	22	9.48	0.26	22	5.24	0.16	13
LNU752	78155.2	64.9	0.29	4	8.11	0.29	4	4.83	0.26	4
CONT.	-	62.3	-	-	7.79	-	-	4.63	-	-
LNU977	78032.1	89.1	0.28	11	-	-	-	-	-	-
LNU933	78897.1	-	-	-	-	-	-	5.57	0.24	6
LNU880	78197.2	85.7	0.28	7	-	-	-	-	-	-
LNU871	78195.4	90.4	0.07	12	11.3	0.11	10	5.46	0.23	4
LNU848	77906.2	-	-	-	-	-	-	5.58	0.06	6
LNU847	78967.2	87.7	0.07	9	11.0	0.14	7	5.39	0.20	2
LNU846	78438.2	-	-	-	-	-	-	5.53	0.12	5
LNU846	78439.2	-	-	-	-	-	-	5.52	0.22	5
LNU846	78439.4	105.8	L	32	13.2	L	29	6.04	L	15
LNU828	77598.3	96.6	0.17	20	12.1	0.20	18	5.85	0.10	11
LNU823	78122.2	90.5	0.25	13	-	-	-	5.62	0.30	7
LNU772	78938.1	105.8	0.14	32	13.2	0.15	29	6.10	0.26	16
LNU757	77485.4	93.2	L	16	11.7	0.01	14	5.63	0.08	7
CONT.	-	80.4	-	-	10.2	-	-	5.26	-	-
LNU972	78907.1	79.1	0.15	21	9.89	0.15	21	5.43	0.24	9
LNU972	78908.2	77.3	0.06	18	9.66	0.06	18	5.40	L	8
LNU972	78909.3	88.0	0.12	35	11.0	0.12	35	5.78	0.09	16
LNU961	79143.3	78.3	0.01	20	9.79	0.01	20	5.51	L	10
LNU961	79143.4	72.6	0.13	11	9.07	0.13	11	5.42	0.05	9
LNU961	79145.3	79.1	0.01	21	9.89	0.01	21	5.38	L	8
LNU961	79145.6	70.6	0.24	8	8.83	0.24	8	5.14	0.19	3
LNU958	77687.2	87.1	L	33	10.9	L	33	5.75	L	15
LNU958	77687.5	83.6	L	28	10.5	L	28	5.72	L	15
LNU958	77689.1	84.4	L	29	10.6	L	29	5.76	L	16
LNU958	77689.2	76.8	0.15	17	9.59	0.15	17	5.37	0.22	8
LNU948	78378.1	83.1	L	27	10.4	L	27	5.66	L	13
LNU948	78379.4	77.8	0.19	19	9.73	0.19	19	-	-	-
LNU948	78380.2	84.5	L	29	10.6	L	29	5.64	L	13
LNU948	78380.3	71.6	0.27	9	8.95	0.27	9	5.21	0.09	5
LNU921	79063.2	82.4	L	26	10.3	L	26	5.53	L	11
LNU921	79064.2	-	-	-	-	-	-	5.25	0.05	5
LNU921	79064.3	74.3	0.14	14	9.28	0.14	14	5.34	0.07	7
LNU913	78592.1	79.5	L	22	9.94	L	22	5.36	0.01	7
LNU913	78592.3	77.5	0.14	18	9.69	0.14	18	5.39	0.21	8
LNU913	78592.4	86.6	L	32	10.8	L	32	5.73	0.07	15
LNU913	78593.1	86.4	L	32	10.8	L	32	5.63	L	13
LNU913	78593.6	92.6	L	42	11.6	L	42	5.96	L	20
LNU912	78401.3	-	-	-	-	-	-	5.25	0.18	5
LNU912	78403.2	83.9	0.06	28	10.5	0.06	28	5.70	0.06	14
LNU912	78404.1	80.3	L	23	10.0	L	23	5.44	L	9
LNU889	79601.4	76.4	0.03	17	9.55	0.03	17	5.42	L	9
LNU889	79602.4	-	-	-	-	-	-	5.27	0.21	6
LNU881	78372.2	91.4	L	40	11.4	L	40	5.88	L	18
LNU881	78373.1	73.9	0.14	13	9.24	0.14	13	-	-	-
LNU881	78373.2	91.7	L	40	11.5	L	40	5.96	0.01	19
LNU823	78136.4	87.2	L	33	10.9	L	33	5.68	0.05	14
LNU816	78957.1	76.3	0.04	17	9.54	0.04	17	5.42	0.02	9
LNU816	78958.4	86.4	L	32	10.8	L	32	5.60	L	12
LNU816	78958.7	96.1	0.02	47	12.0	0.02	47	6.27	0.01	26
LNU809	79168.3	77.9	0.14	19	9.74	0.14	19	5.46	0.18	9
LNU809	79169.2	78.2	0.17	20	9.77	0.17	20	5.32	0.21	7
LNU783	79176.3	74.1	0.14	13	9.26	0.14	13	-	-	-
LNU783	79176.6	77.0	0.03	18	9.62	0.03	18	5.44	0.08	9
LNU783	79178.4	70.3	0.27	7	8.79	0.27	7	5.54	L	11
LNU782	77441.1	84.1	L	29	10.5	L	29	5.45	L	9
LNU782	77444.10	73.5	0.15	12	9.19	0.15	12	5.17	0.23	4
LNU782	77444.9	91.8	0.07	40	11.5	0.07	40	6.19	0.03	24
LNU772	78937.4	-	-	-	-	-	-	5.22	0.26	5
LNU772	78938.1	96.4	L	47	12.1	L	47	6.07	L	22
LNU772	78938.2	73.9	0.12	13	9.23	0.12	13	5.29	0.02	6
LNU772	78940.2	78.9	0.04	21	9.87	0.04	21	5.43	0.12	9
LNU762	79329.2	80.9	L	24	10.1	L	24	5.50	L	10
LNU757	77481.1	-	-	-	-	-	-	5.12	0.23	3
LNU757	77483.3	74.8	0.05	14	9.34	0.05	14	5.40	L	8
CONT.	-	65.4	-	-	8.18	-	-	4.99	-	-
LNU907	78872.1	-	-	-	-	-	-	5.68	0.11	9
LNU907	78872.3	-	-	-	-	-	-	5.32	0.21	2
LNU882	78973.1	78.8	L	10	9.85	L	10	5.48	L	5
LNU882	78973.4	85.5	0.23	20	10.7	0.23	20	5.74	0.17	10
LNU871	78195.4	77.2	L	8	9.66	L	8	5.37	0.07	3
LNU865	79761.7	80.8	L	13	10.1	L	13	5.49	0.14	5
LNU847	78968.3	-	-	-	-	-	-	5.41	0.07	4
LNU845	78917.3	75.2	0.29	5	9.40	0.29	5	5.34	0.11	2
LNU835	78186.2	76.3	0.10	7	9.54	0.10	7	-	-	-
LNU835	78189.1	73.5	0.26	3	9.19	0.26	3	5.34	0.27	2
LNU807	79250.1	81.1	0.15	13	10.1	0.15	13	5.50	L	6
LNU766	78931.1	-	-	-	-	-	-	5.31	0.28	2
LNU766	78931.2	-	-	-	-	-	-	5.49	0.26	5
LNU766	78932.1	88.4	0.16	24	11.1	0.16	24	5.78	0.16	11
CONT.	-	71.6	-	-	8.94	-	-	5.21	-	-
LNU975	80622.1	62.2	0.11	26	7.78	0.11	26	4.99	0.19	11
LNU975	80624.5	56.3	L	14	7.04	L	14	4.62	0.14	3
LNU971	78395.1	57.1	L	15	7.14	L	15	4.82	L	7
LNU971	78395.2	60.4	L	22	7.55	L	22	5.02	L	12
LNU964	80548.6	-	-	-	-	-	-	4.58	0.26	2
LNU960	78600.3	60.4	0.06	22	7.55	0.06	22	4.91	0.03	9
LNU957	80437.8	52.0	0.13	5	6.50	0.13	5	4.70	0.07	5
LNU955	80432.4	53.8	0.07	9	6.72	0.07	9	4.58	0.28	2
LNU953	80427.1	-	-	-	-	-	-	4.76	0.29	6
LNU949	80553.7	55.9	L	13	6.99	L	13	4.64	0.15	3
LNU949	80553.8	55.1	0.09	11	6.89	0.09	11	4.74	0.02	5
LNU949	80557.4	-	-	-	-	-	-	4.94	0.21	10
LNU946	80648.2	52.2	0.24	5	6.52	0.24	5	-	-	-
LNU944	79781.6	53.2	0.03	8	6.65	0.03	8	4.68	0.02	4
LNU928	78213.1	53.7	0.28	9	6.71	0.28	9	4.67	0.05	4
LNU917	77500.4	-	-	-	-	-	-	4.79	0.27	7
LNU917	77500.6	-	-	-	-	-	-	4.82	0.06	7
LNU906	79219.1	-	-	-	-	-	-	4.61	0.15	3
LNU906	79219.6	-	-	-	-	-	-	4.69	0.08	4
LNU904	78987.3	-	-	-	-	-	-	4.68	0.19	4
LNU901	80474.1	57.2	L	16	7.15	L	16	4.77	L	6
LNU901	80474.5	53.2	0.04	8	6.65	0.04	8	4.66	0.04	4
LNU901	80476.5	59.5	0.16	20	7.44	0.16	20	4.81	0.17	7
LNU899	79765.4	-	-	-	-	-	-	4.75	0.13	6
LNU899	79766.2	52.3	0.17	6	6.54	0.17	6	-	-	-
LNU899	79766.3	55.1	0.02	11	6.89	0.02	11	-	-	-
LNU897	80445.2	69.1	L	40	8.63	L	40	5.15	L	15
LNU892	80410.1	54.1	0.17	9	6.77	0.17	9	-	-	-
LNU892	80414.5	53.5	0.02	8	6.68	0.02	8	4.63	0.09	3
LNU884	80405.3	58.0	L	17	7.25	L	17	4.74	L	6
LNU874	78366.3	61.6	L	24	7.70	L	24	5.05	L	12
LNU874	78370.1	56.4	L	14	7.05	L	14	4.80	0.25	7
LNU874	78370.3	56.6	L	14	7.08	L	14	4.82	L	7
LNU873	80469.3	53.2	0.28	8	6.65	0.28	8	-	-	-
LNU873	80473.3	55.1	0.09	11	6.88	0.09	11	4.62	0.14	3
LNU873	80473.6	54.4	0.10	10	6.79	0.10	10	4.68	0.24	4
LNU870	78501.1	-	-	-	-	-	-	4.70	0.03	5
LNU870	78505.5	53.7	0.15	9	6.72	0.15	9	4.64	0.12	3
LNU867	79590.4	61.1	0.13	23	7.63	0.13	23	4.89	L	9
LNU867	79590.7	58.6	L	18	7.32	L	18	4.93	0.13	10
LNU866	80443.2	52.9	0.04	7	6.62	0.04	7	-	-	-
LNU862	79755.6	-	-	-	-	-	-	4.69	0.28	4
LNU862	79757.1	54.9	0.16	11	6.87	0.16	11	4.82	0.27	7
LNU862	79758.3	-	-	-	-	-	-	4.69	0.09	4
LNU862	79758.5	70.4	L	42	8.80	L	42	5.41	L	20
LNU856	79753.3	55.3	L	12	6.91	L	12	4.79	L	7
LNU831	79331.7	67.1	0.08	35	8.38	0.08	35	5.18	L	15
LNU829	77912.3	58.6	0.23	18	7.33	0.23	18	4.98	0.22	11
LNU829	77914.2	55.7	0.25	13	6.96	0.25	13	4.78	L	6
LNU817	80599.2	53.0	0.03	7	6.62	0.03	7	-	-	-
LNU800	77896.1	59.7	L	21	7.46	L	21	4.84	0.06	8
LNU800	77896.4	53.7	0.05	8	6.71	0.05	8	4.76	0.16	6
LNU799	78672.7	57.7	0.03	17	7.21	0.03	17	4.84	0.11	8
LNU799	78674.5	60.7	0.08	23	7.59	0.08	23	4.94	0.13	10
LNU794	78522.1	61.8	0.18	25	7.73	0.18	25	4.81	0.15	7
LNU794	78524.1	-	-	-	-	-	-	4.95	0.30	10
LNU794	78524.5	58.6	0.24	18	7.33	0.24	18	4.93	0.20	10
LNU794	78525.2	56.8	L	15	7.10	L	15	4.72	L	5
LNU792	79161.2	51.6	0.28	4	6.45	0.28	4	-	-	-
LNU778	78944.5	63.7	L	29	7.96	L	29	5.16	L	15
LNU773	80399.1	57.2	0.01	16	7.16	0.01	16	4.79	0.23	7
LNU763	77588.6	64.2	L	30	8.02	L	30	4.83	0.05	8
LNU758	79739.10	63.0	0.15	27	7.88	0.15	27	-	-	-
LNU753	77141.2	56.3	L	14	7.03	L	14	4.77	L	6
LNU753	7143.3	57.6	0.02	16	7.19	0.02	16	4.79	0.07	7
LNU753	77144.1	56.0	L	13	7.00	L	13	4.80	L	7
LNU749	80792.2	-	-	-	-	-	-	4.76	0.17	6
LNU749	80792.3	54.1	0.09	9	6.76	0.09	9	4.66	0.07	4
CONT.	-	49.5	-	-	6.19	-	-	4.49	-	-
LNU970	78390.3	101.4	0.22	8	12.7	0.22	8	-	-	-
LNU893	77154.4	105.3	0.09	12	13.2	0.09	12	5.96	0.18	6
LNU885	78416.5	-	-	-	-	-	-	6.04	0.24	7
LNU790	78890.1	121.6	L	29	15.2	L	29	6.42	0.01	14
CONT.	-	94.1	-	-	11.8	-	-	5.64	-	-
LNU947	77448.4	104.8	L	33	13.1	L	31	5.95	L	12
LNU940	77811.6	90.4	0.27	15	-	-	-	-	-	-
LNU940	77813.1	96.4	0.01	23	12.0	L	21	5.73	0.03	8
LNU900	78851.3	94.7	0.07	20	11.8	0.09	19	5.60	0.10	6
LNU898	78983.4	96.3	0.10	23	12.0	0.13	21	5.81	0.05	10
LNU894	78283.4	85.5	0.25	9	10.7	0.28	7	5.49	0.25	4
LNU894	78283.7	102.3	L	30	12.8	L	28	5.96	L	13
LNU846	78436.2	87.5	0.26	11	10.9	0.30	10	-	-	-
LNU846	78439.4	103.6	0.07	32	13.0	0.09	30	6.04	0.08	14
LNU820	77807.2	89.2	0.22	14	11.2	0.26	12	-	-	-
LNU820	77809.1	86.5	0.15	10	10.8	0.15	8	-	-	-
LNU815	77492.6	85.2	0.22	8	10.7	0.23	7	-	-	-
LNU815	77494.1	103.8	0.02	32	13.0	0.03	30	5.94	L	12
LNU814	78953.2	84.6	0.25	8	10.6	0.27	6	-	-	-
LNU811	78176.8	86.8	0.22	10	10.9	0.24	9	-	-	-
LNU811	78179.1	97.6	0.22	24	12.2	0.25	22	5.78	0.25	9
LNU811	78180.3	85.4	0.21	9	10.7	0.22	7	-	-	-
LNU797	78025.3	-	-	-	-	-	-	5.59	0.16	6
LNU793	78168.1	87.7	0.11	11	11.0	0.10	10	-	-	-
LNU793	78169.1	85.3	0.21	8	10.7	0.21	7	-	-	-
LNU769	78163.4	85.6	0.23	9	10.7	0.25	7	-	-	-
LNU756	77581.3	90.6	0.06	15	11.3	0.05	14	5.51	0.18	4
LNU751	77478.3	90.0	0.10	14	11.3	0.12	13	-	-	-
CONT.	-	78.6	-	-	9.97	-	-	5.30	-	-
LNU965	78360.5	112.4	0.02	20	14.0	0.06	18	-	-	-
LNU943	78407.2	110.0	0.10	17	13.8	0.15	15	-	-	-
LNU913	78593.1	115.2	0.01	23	14.4	0.04	21	6.19	0.07	8
LNU833	78184.1	101.4	0.07	8	12.7	0.09	6	5.85	0.14	2
LNU764	78926.1	103.8	0.01	11	13.0	L	9	5.97	0.18	4
CONT.	-	93.7	-	-	11.9	-	-	5.75	-	-
Table 124: “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant.

The genes listed in Table 125 improved plant NUE when grown at limiting nitrogen concentration levels. These genes produced faster developing plants when grown under limiting nitrogen growth conditions, compared to control plants, grown under identical conditions as measured by growth rate of leaf number, rosette diameter and plot coverage.

Genes showing improved rosette growth performance at limiting nitrogen growth conditions
Gene Name	Event #	RGR Of Leaf Number	RGR Of Plot Coverage (cm2/day)	RGR Of Rosette Diameter [cm/day]
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU952	78218.1	-	-	-	5.74	0.18	17	0.354	0.12	13
LNU952	78219.3	-	-	-	-	-	-	0.345	0.23	10
LNU945	78998.2	-	-	-	-	-	-	0.347	0.20	10
LNU920	78507.1	-	-	-	6.13	0.06	25	0.377	0.03	20
LNU920	78508.1	-	-	-	5.90	0.10	20	-	-	-
LNU920	78508.2	-	-	-	6.12	0.05	25	0.372	0.02	18
LNU916	78208.3	-	-	-	5.84	0.15	19	0.349	0.19	11
LNU914	80516.2	-	-	-	5.79	0.15	18	0.356	0.09	13
LNU914	80516.4	-	-	-	-	-	-	0.344	0.24	10
LNU911	80424.2	-	-	-	-	-	-	0.349	0.16	11
LNU905	79674.3	-	-	-	5.56	0.28	13	0.349	0.21	11
LNU905	79675.3	-	-	-	6.01	0.08	23	0.369	0.03	17
LNU840	78676.1	-	-	-	5.78	0.15	18	0.368	0.04	17
LNU840	78676.4	-	-	-	6.08	0.06	24	0.346	0.21	10
LNU834_H1	80402.7	-	-	-	5.61	0.26	14	0.348	0.20	11
LNU832_H2	80605.1	-	-	-	-	-	-	0.348	0.22	11
LNU819	78133.3	-	-	-	-	-	-	0.342	0.26	9
LNU791	77893.1	-	-	-	6.26	0.04	28	0.381	0.01	21
LNU791	77893.2	-	-	-	5.77	0.16	18	0.357	0.09	14
LNU760_H1	80127.2	-	-	-	6.04	0.08	23	0.358	0.09	14
CONT.	-	-	-	-	4.90	-	-	0.314	-	-
LNU966	78604.1	0.819	0.23	12	9.03	0.03	29	-	-	-
LNU966	78605.5	0.839	0.15	15	9.63	L	38	0.374	0.25	11
LNU966	78605.7	-	-	-	8.64	0.04	24	0.375	0.23	11
LNU941	78611.1	0.833	0.13	14	8.08	0.16	16	-	-	-
LNU941	78613.1	-	-	-	8.95	0.02	28	0.381	0.17	13
LNU941	78613.5	-	-	-	8.12	0.22	16	-	-	-
LNU941	78615.3	0.812	0.28	11	8.86	0.02	27	0.376	0.22	11
LNU925	78992.1	-	-	-	9.16	0.02	31	0.385	0.16	14
LNU925	78992.6	-	-	-	-	-	-	0.371	0.29	10
LNU922	78290.1	0.833	0.18	14	8.73	0.05	25	-	-	-
LNU918	78433.1	0.805	0.22	10	-	-	-	-	-	-
LNU918	78433.2	-	-	-	8.28	0.13	18	-	-	-
LNU918	78433.3	-	-	-	8.35	0.08	20	-	-	-
LNU918	78433.8	0.841	0.08	15	-	-	-	-	-	-
LNU918	78434.2	-	-	-	7.84	0.27	12	0.375	0.22	11
LNU915	78426.1	-	-	-	8.47	0.07	21	0.375	0.24	11
LNU915	78427.1	-	-	-	8.24	0.14	18	-	-	-
LNU915	78428.1	0.880	0.03	21	9.41	L	35	-	-	-
LNU915	78428.2	0.812	0.20	11	7.87	0.26	13	-	-	-
LNU909	78424.3	0.832	0.12	14	8.23	0.13	18	-	-	-
LNU909	78425.4	0.802	0.26	10	8.36	0.11	20	-	-	-
LNU909	78425.5	0.858	0.09	18	9.77	L	40	0.390	0.15	16
LNU909	78425.7	-	-	-	8.12	0.16	16	-	-	-
LNU890	78202.1	0.871	0.05	19	8.89	0.02	27	-	-	-
LNU854	78238.1	-	-	-	8.07	0.18	16	-	-	-
LNU854	78240.1	-	-	-	8.49	0.10	22	0.383	0.24	14
LNU849	78498.4	-	-	-	8.44	0.06	21	-	-	-
LNU849	78499.1	-	-	-	8.31	0.10	19	-	-	-
LNU849	78500.3	-	-	-	8.66	0.07	24	0.380	0.24	13
LNU830	78741.3	-	-	-	8.18	0.15	17	0.378	0.22	12
LNU830	78741.5	0.917	0.05	26	9.41	L	35	0.379	0.22	12
LNU824	77826.1	0.877	0.07	20	9.81	L	40	0.403	0.06	20
LNU824	77828.4	-	-	-	8.21	0.13	17	-	-	-
LNU824	77829.3	-	-	-	8.66	0.04	24	-	-	-
LNU822	78623.2	-	-	-	9.81	L	40	0.398	0.13	18
LNU822	78623.6	0.809	0.27	11	10.5	L	50	0.418	0.02	24
LNU822	78623.7	0.817	0.23	12	8.88	0.03	27	0.379	0.20	13
LNU822	78625.2	0.828	0.28	13	9.05	0.03	29	0.381	0.23	13
LNU822	78625.7	-	-	-	8.20	0.16	17	-	-	-
LNU813	77682.3	-	-	-	9.07	0.02	30	0.399	0.07	18
LNU806	78514.2	-	-	-	10.4	L	48	0.428	L	27
LNU806	78515.3	-	-	-	8.21	0.12	18	-	-	-
LNU806	78515.4	0.876	0.04	20	8.08	0.17	16	-	-	-
LNU806	78515.5	0.895	0.05	23	8.97	0.02	28	-	-	-
LNU802	80307.3	-	-	-	7.86	0.26	13	-	-	-
LNU802	80309.2	-	-	-	7.87	0.28	13	-	-	-
LNU802	80309.3	-	-	-	8.00	0.21	15	-	-	-
LNU802	80310.1	-	-	-	8.08	0.17	16	-	-	-
LNU779	77887.2	0.822	0.18	13	9.09	0.01	30	0.377	0.23	12
LNU761	78157.6	0.828	0.20	13	8.18	0.14	17	-	-	-
LNU761	78159.1	-	-	-	7.91	0.25	13	-	-	-
LNU761	78160.3	0.848	0.12	16	9.99	L	43	0.410	0.03	22
CONT.	-	0.730	-	-	6.99	-	-	0.337	-	-
LNU976	78364.1	-	-	-	5.53	L	48	0.334	0.01	27
LNU970	78388.1	-	-	-	4.43	0.15	18	-	-	-
LNU970	78389.8	0.669	0.27	14	5.28	L	41	0.299	0.20	13
LNU968	77919.4	-	-	-	4.44	0.15	19	-	-	-
LNU963	78383.4	-	-	-	4.46	0.14	19	-	-	-
LNU962	78635.8	0.666	0.27	13	-	-	-	-	-	-
LNU950	78913.4	-	-	-	4.81	0.03	29	0.297	0.24	13
LNU950	78915.2	-	-	-	4.35	0.20	16	-	-	-
LNU949	80553.5	-	-	-	4.56	0.11	22	0.299	0.23	14
LNU949	80553.8	-	-	-	4.80	0.03	28	-	-	-
LNU949	80557.4	-	-	-	4.25	0.30	14	-	-	-
LNU934	79008.1	-	-	-	-	-	-	0.297	0.22	13
LNU908	79738.5	0.670	0.28	14	-	-	-	-	-	-
LNU902	79606.5	-	-	-	4.51	0.12	21	-	-	-
LNU875	78413.4	-	-	-	4.40	0.19	18	-	-	-
LNU873	80473.4	-	-	-	4.40	0.20	18	0.300	0.21	14
LNU843	78962.4	-	-	-	4.61	0.08	23	-	-	-
LNU843	78963.2	-	-	-	4.35	0.20	16	-	-	-
LNU790	78886.2	0.697	0.16	18	4.94	0.02	32	-	-	-
LNU790	78886.3	0.677	0.27	15	4.25	0.28	14	0.292	0.30	11
LNU790	78889.2	0.686	0.21	17	-	-	-	-	-	-
LNU787	80547.7	0.721	0.09	22	-	-	-	-	-	-
LNU767	79146.1	0.695	0.20	18	5.12	L	37	0.302	0.17	15
LNU767	79146.2	-	-	-	4.43	0.15	19	0.300	0.18	14
CONT.	-	0.589	-	-	3.74	-	-	0.263	-	-
LNU966	78605.5	0.819	0.20	17	-	-	-	-	-	-
LNU941	78614.2	-	-	-	13.8	0.19	23	-	-	-
LNU922	78287.3	0.798	0.26	14	-	-	-	-	-	-
LNU915	78428.2	0.807	0.26	15	-	-	-	-	-	-
LNU854	78237.2	-	-	-	14.2	0.14	27	-	-	-
LNU830	78741.5	-	-	-	13.3	0.28	19	-	-	-
LNU813	77685.1	-	-	-	13.6	0.21	22	-	-	-
LNU751	77477.1	0.878	0.07	25	-	-	-	-	-	-
CONT.	-	0.702	-	-	11.2	-	-	-	-	-
LNU948	78378.1	-	-	-	10.5	0.04	22	-	-	-
LNU888	78771.1	-	-	-	10.7	0.05	25	0.481	0.05	24
LNU881	78372.2	-	-	-	9.74	0.19	13	-	-	-
LNU857	78867.2	-	-	-	9.70	0.23	13	-	-	-
LNU816	78958.5	-	-	-	10.9	0.02	26	0.481	0.02	24
LNU816	78958.7	-	-	-	10.4	0.05	21	0.449	0.10	16
LNU809	79168.2	-	-	-	10.1	0.15	17	-	-	-
LNU809	79168.3	-	-	-	9.60	0.28	11	0.430	0.26	11
LNU807	79248.1	-	-	-	-	-	-	0.430	0.24	11
LNU795	79525.1	-	-	-	9.66	0.24	12	-	-	-
LNU795	79525.5	-	-	-	-	-	-	0.429	0.23	11
LNU788	78516.1	-	-	-	10.8	0.02	25	0.454	0.14	17
LNU788	78518.1	-	-	-	12.2	L	41	0.466	0.04	20
LNU783	79178.2	-	-	-	-	-	-	0.446	0.19	15
LNU778	78941.1	-	-	-	10.0	0.15	16	-	-	-
LNU778	78944.2	-	-	-	9.86	0.16	14	0.432	0.22	12
LNU752	78153.10	-	-	-	11.1	0.03	29	0.503	0.01	30
CONT.	-	-	-	-	8.61	-	-	0.388	-	-
LNU933	78897.1	0.890	0.12	17	-	-	-	-	-	-
LNU882	78975.3	0.863	0.23	13	-	-	-	-	-	-
LNU880	78196.1	-	-	-	-	-	-	0.490	0.30	9
LNU880	78200.6	-	-	-	12.0	0.15	21	0.502	0.18	11
LNU848	77906.2	-	-	-	11.6	0.24	17	-	-	-
LNU848	77907.4	0.866	0.18	14	-	-	-	-	-	-
LNU847	78967.2	0.892	0.13	17	-	-	-	-	-	-
LNU847	78967.4	0.858	0.23	13	-	-	-	-	-	-
LNU846	78436.2	0.938	0.04	23	-	-	-	-	-	-
LNU846	78438.2	-	-	-	-	-	-	0.502	0.16	11
LNU846	78439.4	0.852	0.26	12	13.1	0.02	32	0.506	0.13	12
LNU828	77598.3	0.876	0.16	15	12.0	0.14	21	0.512	0.11	14
LNU814	78953.3	0.885	0.15	16	-	-	-	-	-	-
LNU814	78955.4	0.865	0.23	13	-	-	-	-	-	-
LNU772	78937.4	0.849	0.29	11	-	-	-	-	-	-
LNU772	78938.1	-	-	-	13.0	0.04	31	0.500	0.21	11
LNU772	78940.2	0.861	0.26	13	-	-	-	-	-	-
LNU757	77485.4	-	-	-	11.6	0.23	17	-	-	-
LNU750	78863.2	-	-	-	-	-	-	0.493	0.23	9
CONT.	-	0.762	-	-	9.91	-	-	0.451	-	-
LNU972	78907.1	-	-	-	9.59	0.11	22	-	-	-
LNU972	78908.2	0.810	0.24	14	9.30	0.17	18	0.443	0.13	13
LNU972	78909.3	0.862	0.08	22	10.8	0.01	38	0.481	0.02	23
LNU961	79143.3	-	-	-	9.64	0.10	23	0.455	0.07	16
LNU961	79143.4	-	-	-	-	-	-	0.438	0.18	12
LNU961	79145.3	0.801	0.27	13	9.44	0.14	20	0.443	0.13	13
LNU961	79145.6	0.806	0.26	14	-	-	-	-	-	-
LNU958	77687.2	0.893	0.05	26	10.5	0.02	33	0.492	L	26
LNU958	77687.5	-	-	-	9.85	0.06	25	0.448	0.10	14
LNU958	77689.1	-	-	-	10.2	0.03	30	0.479	0.02	22
LNU958	77689.2	-	-	-	9.40	0.15	20	0.440	0.17	12
LNU948	78378.1	0.810	0.26	14	10.0	0.04	28	0.472	0.02	20
LNU948	78379.4	-	-	-	9.34	0.17	19	0.437	0.20	12
LNU948	78380.2	0.836	0.14	18	10.1	0.04	29	0.443	0.14	13
LNU921	79063.2	0.889	0.04	25	10.1	0.04	28	0.445	0.12	14
LNU921	79064.3	0.806	0.28	14	-	-	-	0.433	0.23	11
LNU913	78592.1	-	-	-	9.58	0.11	22	-	-	-
LNU913	78592.3	0.798	0.29	13	9.17	0.22	17	-	-	-
LNU913	78592.4	-	-	-	10.4	0.02	32	0.454	0.09	16
LNU913	78593.1	0.831	0.16	17	10.4	0.02	32	0.452	0.08	16
LNU913	78593.6	-	-	-	11.1	L	42	0.482	0.01	23
LNU912	78401.3	-	-	-	-	-	-	0.431	0.28	10
LNU912	78403.2	-	-	-	10.1	0.04	28	0.462	0.05	18
LNU912	78404.1	0.806	0.25	14	9.74	0.08	24	0.441	0.16	13
LNU889	79601.4	-	-	-	9.11	0.23	16	0.433	0.23	11
LNU889	79602.4	0.802	0.29	13	9.30	0.19	18	-	-	-
LNU888	78772.2	0.804	0.30	13	-	-	-	-	-	-
LNU881	78372.2	0.833	0.15	18	10.9	L	39	0.471	0.02	20
LNU881	78373.1	0.846	0.12	19	-	-	-	-	-	-
LNU881	78373.2	0.831	0.20	17	10.8	0.01	37	0.466	0.04	19
LNU823	78136.4	0.856	0.10	21	10.5	0.02	34	0.466	0.04	19
LNU816	78957.1	-	-	-	9.02	0.27	15	-	-	-
LNU816	78958.4	-	-	-	10.5	0.01	34	0.455	0.07	16
LNU816	78958.7	-	-	-	11.3	L	44	0.497	L	27
LNU809	79168.3	-	-	-	9.38	0.17	19	0.456	0.07	16
LNU809	79169.2	-	-	-	9.42	0.15	20	0.444	0.13	13
LNU783	79176.3	-	-	-	9.01	0.27	15	-	-	-
LNU783	79176.6	-	-	-	9.33	0.16	19	0.445	0.13	14
LNU783	79178.4	-	-	-	-	-	-	0.462	0.04	18
LNU782	77441.1	0.884	0.07	25	10.1	0.04	29	0.428	0.28	9
LNU782	77444.10	0.812	0.23	15	-	-	-	-	-	-
LNU782	77444.2	0.798	0.29	13	-	-	-	-	-	-
LNU782	77444.9	-	-	-	10.9	L	39	0.509	L	30
LNU772	78938.1	0.945	0.02	33	11.7	L	49	0.506	L	29
LNU772	78940.2	-	-	-	9.42	0.14	20	-	-	-
LNU762	79329.2	-	-	-	9.70	0.09	23	0.440	0.15	12
LNU757	77481.1	0.857	0.09	21	-	-	-	-	-	-
LNU757	77483.2	0.820	0.21	16	-	-	-	-	-	-
LNU757	77483.3	0.832	0.16	17	-	-	-	0.447	0.12	14
CONT.	-	0.708	-	-	7.85	-	-	0.391	-	-
LNU882	78973.4	-	-	-	10.2	0.09	18	0.449	0.25	8
LNU807	79250.1	-	-	-	9.82	0.18	14	-	-	-
LNU766	78932.1	-	-	-	10.6	0.04	22	-	-	-
CONT.	-	-	-	-	8.64	-	-	0.416	-	-
LNU975	80622.1	-	-	-	7.90	L	28	0.416	0.05	16
LNU975	80624.5	0.743	0.20	19	7.02	0.14	14	-	-	-
LNU971	78395.1	-	-	-	7.01	0.16	14	-	-	-
LNU971	78395.2	-	-	-	7.28	0.06	18	0.400	0.13	12
LNU960	78599.4	0.725	0.28	17	-	-	-	-	-	-
LNU960	78600.3	-	-	-	7.49	0.03	22	0.400	0.13	12
LNU957	80435.3	0.723	0.30	16	-	-	-	-	-	-
LNU955	80432.3	0.735	0.24	18	-	-	-	-	-	-
LNU955	80432.4	-	-	-	6.83	0.25	11	-	-	-
LNU953	80429.1	0.722	0.30	16	-	-	-	-	-	-
LNU949	80553.7	-	-	-	6.94	0.19	13	-	-	-
LNU949	80557.4	-	-	-	7.12	0.12	16	0.396	0.19	11
LNU928	78212.1	0.818	0.04	31	-	-	-	-	-	-
LNU928	78213.1	-	-	-	6.82	0.25	11	-	-	-
LNU923	77603.3	-	-	-	-	-	-	0.391	0.24	9
LNU917	77500.4	-	-	-	6.91	0.25	12	-	-	-
LNU906	79219.5	0.743	0.21	19	-	-	-	-	-	-
LNU904	78987.2	0.775	0.11	25	-	-	-	-	-	-
LNU901	80476.5	-	-	-	7.41	0.04	20	-	-	-
LNU899	79765.4	-	-	-	6.88	0.22	12	0.395	0.18	10
LNU899	79766.2	-	-	-	-	-	-	0.390	0.28	9
LNU897	80445.2	-	-	-	8.64	L	40	0.431	0.01	20
LNU892	80410.1	-	-	-	-	-	-	0.393	0.23	10
LNU884	80405.3	-	-	-	7.35	0.04	19	-	-	-
LNU884	80407.1	-	-	-	7.09	0.13	15	-	-	-
LNU884	80408.2	-	-	-	7.12	0.15	16	-	-	-
LNU884	80408.4	-	-	-	7.10	0.13	15	0.395	0.21	10
LNU874	78366.3	-	-	-	7.47	0.03	21	0.402	0.11	12
LNU874	78370.1	-	-	-	7.03	0.13	14	-	-	-
LNU874	78370.3	-	-	-	7.05	0.12	15	0.398	0.15	11
LNU874	78370.7	0.727	0.28	17	-	-	-	-	-	-
LNU873	80469.1	0.771	0.12	24	-	-	-	-	-	-
LNU873	80473.3	-	-	-	6.91	0.19	12	-	-	-
LNU873	80473.6	-	-	-	6.88	0.21	12	0.400	0.13	12
LNU870	78501.1	-	-	-	-	-	-	0.398	0.15	11
LNU870	78505.1	-	-	-	-	-	-	0.401	0.14	12
LNU867	79589.3	-	-	-	-	-	-	0.389	0.27	9
LNU867	79590.3	0.746	0.22	20	-	-	-	-	-	-
LNU867	79590.4	-	-	-	7.30	0.07	18	-	-	-
LNU867	79590.7	-	-	-	7.30	0.05	19	0.405	0.10	13
LNU866	80442.2	0.734	0.25	18	-	-	-	-	-	-
LNU866	80443.2	0.752	0.17	21	-	-	-	-	-	-
LNU866	80444.6	-	-	-	6.87	0.24	12	-	-	-
LNU862	79757.1	-	-	-	-	-	-	0.391	0.26	9
LNU862	79758.3	-	-	-	-	-	-	0.392	0.22	10
LNU862	79758.5	-	-	-	8.82	L	43	0.459	L	28
LNU856	79753.3	-	-	-	6.80	0.26	10	-	-	-
LNU856	79753.5	0.742	0.21	19	-	-	-	-	-	-
LNU831	79331.7	-	-	-	8.43	L	37	0.428	0.01	20
LNU831	79335.2	0.783	0.10	26	-	-	-	-	-	-
LNU829	77912.3	-	-	-	7.24	0.07	18	0.399	0.16	11
LNU829	77914.1	0.774	0.11	24	-	-	-	-	-	-
LNU829	77914.2	-	-	-	6.90	0.21	12	0.398	0.15	11
LNU817	80598.1	-	-	-	6.81	0.28	11	-	-	-
LNU800	77896.1	-	-	-	7.38	0.04	20	-	-	-
LNU799	78672.5	0.725	0.29	17	-	-	-	-	-	-
LNU799	78672.7	-	-	-	7.09	0.11	15	-	-	-
LNU799	78674.2	-	-	-	7.03	0.15	14	-	-	-
LNU799	78674.5	-	-	-	7.50	0.02	22	0.406	0.10	13
LNU796	78235.5	0.755	0.16	21	-	-	-	-	-	-
LNU794	78522.1	-	-	-	7.67	0.02	25	-	-	-
LNU794	78524.1	-	-	-	7.85	0.01	28	0.399	0.18	11
LNU794	78524.5	-	-	-	7.30	0.06	19	0.392	0.24	9
LNU794	78525.2	-	-	-	7.14	0.09	16	-	-	-
LNU792	79161.2	0.778	0.11	25	-	-	-	-	-	-
LNU792	79162.2	0.720	0.30	16	-	-	-	-	-	-
LNU778	78943.5	0.778	0.10	25	-	-	-	-	-	-
LNU778	78944.1	0.841	0.03	35	-	-	-	-	-	-
LNU778	78944.5	-	-	-	8.11	L	32	0.432	L	21
LNU773	80399.1	-	-	-	6.96	0.16	13	-	-	-
LNU771	80077.2	-	-	-	6.83	0.28	11	0.403	0.12	13
LNU763	77588.6	-	-	-	7.62	0.02	24	-	-	-
LNU763	77589.3	0.725	0.28	16	-	-	-	-	-	-
LNU758	79739.10	-	-	-	7.84	L	27	0.400	0.17	12
LNU753	77141.2	-	-	-	6.90	0.20	12	-	-	-
LNU753	77143.3	-	-	-	7.23	0.06-	17	-	-	-
LNU753	77144.1	-	-	-	6.88	0.21	12	0.387	0.29	8
CONT.	-	0.622	-	-	6.16	-	-	0.358	-	-
LNU790	78890.1	-	-	-	14.8	0.04	29	0.510	0.25	13
CONT.	-	-	-	-	11.5	-	-	0.452	-	-
LNU947	77448.4	-	-	-	12.6	0.02	32	-	-	-
LNU940	77813.1	-	-	-	12.1	0.06	26	0.470	0.21	13
LNU900	78851.3	-	-	-	11.3	0.19	18	-	-	-
LNU898	78983.4	-	-	-	11.7	0.11	23	0.468	0.23	13
LNU894	78283.7	-	-	-	12.4	0.04	29	-	-	-
LNU846	78439.4	-	-	-	12.5	0.03	31	0.468	0.23	13
LNU815	77494.1	-	-	-	12.7	0.02	33	-	-	-
LNU811	78179.1	-	-	-	11.8	0.10	24	-	-	-
LNU756	77581.3	-	-	-	11.0	0.27	15	-	-	-
LNU751	77477.4	0.941	0.11	18	-	-	-	-	-	-
LNU751	77478.3	-	-	-	11.1	0.23	16	-	-	-
CONT.	-	0.800	-	-	9.56	-	-	0.415	-	-
LNU965	78360.5	-	-	-	13.7	0.11	20	0.534	0.16	10
LNU943	78407.2	-	-	-	13.4	0.16	17	-	-	-
LNU913	78593.1	-	-	-	14.0	0.07	23	-	-	-
CONT.	-	-	-	-	11.4	-	-	0.487	-	-
Table 125. “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant.

The genes listed in Tables 126-127 improved plant NUE when grown at standard nitrogen concentration levels. These genes produced larger plants with a larger photosynthetic area and increased biomass (fresh weight, dry weight, leaf number, rosette diameter, rosette area and plot coverage) when grown under standard nitrogen conditions as compared to control plants grown under identical growth conditions.

Genes showing improved plant biomass production at standard nitrogen growth conditions
Gene Name	Event #	Dry Weight [mg]	Fresh Weight [mg]	Leaf Number
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU966	78605.5	-	-	-	-	-	-	12.1	0.07	5
LNU941	78611.1	-	-	-	3018.8	0.07	7	-	-	-
LNU941	78613.1	-	-	-	2987.5	0.15	5	11.9	0.30	2
LNU941	78614.2	-	-	-	3137.5	L	11	-	-	-
LNU941	78615.3	-	-	-	-	-	-	13.1	L	13
LNU925	78991.7	-	-	-	-	-	-	12.6	0.03	8
LNU925	78992.1	230.6	0.28	4	3031.2	0.21	7	12.2	0.28	6
LNU925	78992.6	-	-	-	2957.1	0.17	4	-	-	-
LNU922	78290.1	-	-	-	2943.8	0.27	4	12.9	0.11	11
LNU918	78433.3	238.6	0.23	8	-	-	-	-	-	-
LNU918	78433.8	-	-	-	3156.2	0.06	11	-	-	-
LNU918	78434.2	-	-	-	-	-	-	12.5	0.19	8
LNU915	78426.1	236.2	0.25	7	-	-	-	12.4	0.04	7
LNU915	78428.1	242.5	0.30	10	3131.2	0.13	11	12.3	0.06	6
LNU915	78428.2	-	-	-	-	-	-	12.1	0.05	5
LNU909	78424.3	236.2	0.16	7	-	-	-	12.9	L	12
LNU909	78425.4	-	-	-	-	-	-	12.6	L	9
LNU909	78425.7	-	-	-	-	-	-	12.4	L	7
LNU890	78202.1	-	-	-	-	-	-	12.3	0.01	6
LNU854	78238.1	-	-	-	-	-	-	12.0	0.15	4
LNU849	78498.4	-	-	-	-	-	-	12.4	0.10	7
LNU849	78499.1	-	-	-	2981.2	0.27	5	-	-	-
LNU849	78500.3	234.4	0.16	6	-	-	-	-	-	-
LNU830	78741.3	-	-	-	-	-	-	12.0	0.11	4
LNU830	78741.5	-	-	-	-	-	-	12.1	0.07	5
LNU824	77826.1	235.6	0.11	6	-	-	-	12.6	0.16	9
LNU822	78623.2	-	-	-	2943.8	0.22	4	12.8	0.01	11
LNU822	78623.6	-	-	-	2937.5	0.25	4	11.9	0.30	2
LNU822	78625.2	-	-	-	-	-	-	11.9	0.17	3
LNU822	78625.7	-	-	-	-	-	-	12.1	0.05	5
LNU813	77682.3	-	-	-	-	-	-	12.7	0.19	9
LNU806	78515.4	-	-	-	-	-	-	12.9	L	12
LNU806	78515.5	-	-	-	-	-	-	12.2	0.15	6
LNU802	80310.1	239.4	0.07	8	-	-	-	-	-	-
LNU779	77887.2	-	-	-	-	-	-	12.1	0.17	4
LNU779	77887.3	-	-	-	-	-	-	12.6	0.12	8
LNU761	78159.1	-	-	-	-	-	-	11.9	0.29	3
LNU761	78160.3	235.0	0.19	6	-	-	-	12.5	0.08	8
CONT.	-	221.4	-	-	2832.1	-	-	11.6	-	-
LNU976	78364.1	-	-	-	-	-	-	9.75	0.11	5
LNU976	78364.2	-	-	-	-	-	-	9.75	0.11	5
LNU976	78364.5	-	-	-	-	-	-	9.69	0.22	5
LNU843	78962.4	-	-	-	-	-	-	9.56	0.25	3
LNU790	78890.3	-	-	-	-	-	-	9.81	0.28	6
CONT.	-	-	-	-	-	-	-	9.27	-	-
LNU966	78605.5	-	-	-	-	-	-	11.9	0.02	8
LNU941	78613.1	403.2	0.03	14	5655.4	0.16	19	11.5	0.15	4
LNU941	78614.2	-	-	-	5047.3	0.24	6	12.1	0.04	10
LNU941	78615.3	377.9	0.24	7	-	-	-	-	-	-
LNU915	78427.1	-	-	-	5133.3	0.12	8	-	-	-
LNU915	78428.1	373.8	0.27	5	5237.5	0.21	10	-	-	-
LNU915	78428.2	-	-	-	5231.2	0.17	10	-	-	-
LNU854	78238.1	-	-	-	5087.5	0.15	7	11.9	0.02	8
LNU849	78499.1	-	-	-	-	-	-	11.4	0.17	4
LNU849	78500.1	-	-	-	-	-	-	11.8	0.06	7
LNU830	78741.5	-	-	-	-	-	-	12.3	L	12
LNU830	78742.6	-	-	-	-	-	-	11.8	0.02	7
LNU813	77681.4	-	-	-	-	-	-	11.5	0.15	4
LNU806	78514.2	-	-	-	5231.2	0.08	10	11.4	0.26	4
LNU806	78515.3	-	-	-	-	-	-	11.5	0.27	4
LNU780	77489.4	-	-	-	-	-	-	11.6	0.15	5
LNU751	77477.4	-	-	-	-	-	-	11.4	0.23	3
LNU751	77480.1	-	-	-	-	-	-	11.6	0.18	5
CONT.	-	354.5	-	-	4755.4	-	-	11.0	-	-
LNU948	78376.3	240.0	L	32	2737.5	L	49	-	-	-
LNU948	78378.1	226.2	0.03	24	2212.5	0.13	20	11.8	0.05	5
LNU921	79063.2	-	-	-	-	-	-	12.1	L	8
LNU921	79064.2	257.5	0.02	41	2868.8	L	56	-	-	-
LNU921	79064.3	286.2	L	57	3000.0	L	63	11.8	0.23	6
LNU912	78402.3	231.9	0.04	27	2581.2	0.04	40	-	-	-
LNU912	78405.2	-	-	-	-	-	-	12.3	0.19	10
LNU889	79599.1	237.5	0.07	30	2681.2	0.04	46	12.1	0.18	8
LNU889	79602.4	-	-	-	-	-	-	11.9	0.30	7
LNU881	78373.1	231.2	0.02	27	2643.8	L	44	-	-	-
LNU881	78373.2	259.4	0.06	42	3143.8	0.03	71	11.9	0.13	6
LNU881	78374.1	-	-	-	-	-	-	12.0	0.01	7
LNU865	79761.2	267.5	L	47	3018.8	L	64	12.0	0.10	7
LNU865	79761.4	227.5	0.06	25	2618.8	0.17	42	12.0	L	7
LNU865	79761.7	281.2	L	54	3112.5	L	69	-	-	-
LNU857	78868.2	-	-	-	-	-	-	11.6	0.12	3
LNU831	79331.2	-	-	-	-	-	-	11.7	0.14	5
LNU831	79333.1	265.0	0.04	45	3087.5	L	68	-	-	-
LNU831	79333.2	258.5	L	42	2945.8	L	60	-	-	-
LNU816	78957.1	242.5	L	33	2956.2	L	61	-	-	-
LNU816	78958.5	-	-	-	-	-	-	11.9	0.03	6
LNU816	78958.7	-	-	-	-	-	-	11.9	0.13	6
LNU809	79168.5	229.4	0.23	26	2550.0	0.02	38	-	-	-
LNU807	79248.1	-	-	-	-	-	-	11.9	0.18	7
LNU807	79250.1	-	-	-	-	-	-	11.6	0.12	3
LNU795	79521.6	-	-	-	-	-	-	11.4	0.27	2
LNU795	79525.1	203.1	0.21	11	-	-	-	-	-	-
LNU795	79525.4	265.6	L	46	2950.0	L	60	-	-	-
LNU788	78516.1	225.6	0.03	24	2437.5	0.03	32	-	-	-
LNU788	78517.1	-	-	-	-	-	-	12.4	0.08	11
LNU788	78517.2	-	-	-	-	-	-	11.9	0.03	6
LNU788	78518.1	238.8	0.17	31	2331.2	0.07	27	12.4	0.04	11
LNU788	78520.4	-	-	-	-	-	-	11.9	0.01	7
LNU783	79178.4	-	-	-	-	-	-	11.8	0.23	6
LNU778	78944.1	-	-	-	-	-	-	11.8	0.02	6
LNU778	78944.2	-	-	-	-	-	-	11.8	0.05	5
LNU762	79328.3	-	-	-	-	-	-	12.2	0.11	9
LNU762	79329.2	-	-	-	-	-	-	11.8	0.02	6
LNU752	78153.1	264.4	L	45	3043.8	L	65	12.1	L	8
LNU752	78155.2	-	-	-	-	-	-	12.0	0.10	7
CONT.	-	182.3	-	-	1841.3	-	-	11.2	-	-
LNU977	77991.4	-	-	-	4112.5	0.14	10	-	-	-
LNU977	78033.1	365.0	0.24	19	4481.2	0.24	20	-	-	-
LNU880	78196.1	342.5	0.02	12	4043.8	0.02	9	-	-	-
LNU880	78197.4	-	-	-	3981.2	0.03	7	-	-	-
LNU871	78191.1	319.4	0.24	5	-	-	-	-	-	-
LNU871	78191.3	326.2	0.20	7	4243.8	L	14	-	-	-
LNU848	77906.2	-	-	-	4100.0	0.29	10	-	-	-
LNU848	77909.2	-	-	-	3987.5	0.08	7	-	-	-
LNU848	77909.5	-	-	-	4031.2	0.09	8	-	-	-
LNU846	78438.1	322.1	0.18	5	-	-	-	-	-	-
LNU845	78920.1	-	-	-	4000.0	0.02	7	-	-	-
LNU828	77600.4	331.9	0.23	9	4100.0	0.07	10	-	-	-
LNU823	78122.2	321.2	0.19	5	3918.8	0.10	5	-	-	-
LNU823	78136.1	327.5	0.28	7	-	-	-	-	-	-
LNU823	78136.4	320.8	0.30	5	-	-	-	-	-	-
LNU823	78137.3	-	-	-	-	-	-	12.3	0.11	6
LNU772	78937.4	-	-	-	-	-	-	11.9	0.03	3
LNU772	78938.1	331.9	0.06	9	-	-	-	12.8	0.01	10
LNU757	77481.1	-	-	-	4098.2	0.13	10	-	-	-
LNU757	77485.2	335.6	0.19	10	4081.2	0.28	10	-	-	-
LNU757	77485.4	338.1	0.02	11	4250.0	0.08	14	-	-	-
LNU750	78863.2	-	-	-	-	-	-	11.9	0.23	2
CONT.	-	305.5	-	-	3722.0	-	-	11.6	-	-
LNU972	78907.1	386.2	0.29	7	5068.8	0.04	10	11.9	0.02	6
LNU972	78909.3	-	-	-	-	-	-	12.5	0.29	11
LNU961	79143.3	-	-	-	-	-	-	11.6	0.24	2
LNU961	79145.3	396.9	0.24	9	5556.2	L	20	-	-	-
LNU961	79145.8	-	-	-	5037.5	0.05	9	-	-	-
LNU958	77687.2	-	-	-	-	-	-	12.4	L	9
LNU958	77687.5	-	-	-	-	-	-	12.5	0.05	11
LNU958	77689.1	-	-	-	-	-	-	12.0	0.02	6
LNU958	77689.2	-	-	-	5093.8	0.04	10	-	-	-
LNU948	78379.4	-	-	-	-	-	-	12.1	L	7
LNU948	78380.2	-	-	-	5275.0	0.16	14	12.3	L	9
LNU921	79063.2	-	-	-	-	-	-	12.5	L	11
LNU921	79064.3	-	-	-	-	-	-	11.9	0.05	5
LNU913	78592.1	-	-	-	-	-	-	12.1	L	7
LNU913	78592.3	-	-	-	-	-	-	12.4	0.16	9
LNU913	78592.4	-	-	-	-	-	-	13.1	0.26	16
LNU913	78593.6	-	-	-	-	-	-	13.1	L	16
LNU912	78403.2	-	-	-	-	-	-	12.0	0.02	6
LNU912	78404.1	406.9	L	12	5300.0	0.07	15	-	-	-
LNU888	78772.7	-	-	-	-	-	-	12.3	0.02	9
LNU881	78372.2	-	-	-	5393.8	0.19	17	-	-	-
LNU881	78373.1	406.2	L	12	5431.2	L	18	-	-	-
LNU881	78373.2	-	-	-	-	-	-	12.6	0.08	11
LNU881	78374.1	398.0	L	10	5265.2	L	14	12.4	0.06	9
LNU881	78374.4	-	-	-	5157.1	0.03	12	-	-	-
LNU823	78136.1	-	-	-	5000.0	0.06	8	-	-	-
LNU823	78136.4	391.2	0.03	8	5093.8	0.03	10	-	-	-
LNU823	78137.3	390.3	0.24	8	5273.2	0.01	14	-	-	-
LNU816	78957.1	-	-	-	5250.0	0.12	14	12.1	0.18	7
LNU816	78958.7	-	-	-	-	-	-	12.7	0.28	12
LNU809	79168.3	-	-	-	-	-	-	11.9	0.24	6
LNU782	77441.1	-	-	-	-	-	-	12.2	0.04-	8
LNU782	77443.3	-	-	-	4943.8	0.12	7	-	-	-
LNU782	77444.9	-	-	-	-	-	-	12.6	0.20	12
LNU772	78937.4	-	-	-	4962.5	0.08	8	-	-	-
LNU772	78938.1	387.5	0.16	7	-	-	-	12.4	L	9
LNU772	78940.2	-	-	-	-	-	-	12.6	0.04	12
LNU762	79330.3	-	-	-	5019.6	0.22	9	-	-	-
LNU757	77481.1	-	-	-	-	-	-	12.5	0.05	11
LNU757	77483.2	-	-	-	-	-	-	11.8	0.14	5
LNU757	77485.2	-	-	-	4937.5	0.13	7	-	-	-
LNU757	77485.4	-	-	-	-	-	-	12.2	0.04	8
CONT.	-	362.5	-	-	4614.3	-	-	11.3	-	-
LNU933	78900.5	-	-	-	2568.8	0.23	6	-	-	-
LNU907	78872.3	-	-	-	2850.0	0.08	17	-	-	-
LNU907	78872.8	-	-	-	2662.5	0.04	9	-	-	-
LNU882	78973.4	-	-	-	-	-	-	13.8	0.11	8
LNU871	78195.4	286.2	0.13	13	2625.0	0.21	8	-	-	-
LNU865	79761.2	271.9	0.25	7	-	-	-	-	-	-
LNU857	78867.2	-	-	-	2622.3	0.08	8	-	-	-
LNU848	77909.3	-	-	-	-	-	-	13.2	0.08	4
LNU847	78967.4	-	-	-	2687.5	0.30	10	-	-	-
LNU835	78186.6	-	-	-	2731.2	0.29	12	-	-	-
LNU835	78187.2	-	-	-	2706.2	0.12	11	-	-	-
LNU835	78189.1	-	-	-	2637.5	0.06	8	-	-	-
LNU828	77600.4	-	-	-	2718.8	0.05	12	-	-	-
LNU807	79250.1	-	-	-	-	-	-	13.3	0.12	4
LNU798	79671.4	-	-	-	-	-	-	13.1	0.20	2
LNU795	79521.3	295.6	0.03	17	2650.0	0.05	9	-	-	-
LNU795	79525.4	-	-	-	2556.2	0.24	5	-	-	-
LNU766	78931.2	-	-	-	-	-	-	13.1	0.20	2
LNU766	78932.1	291.9	0.03	15	2937.5	L	21	13.3	0.03	4
LNU752	78153.1	-	-	-	2662.5	0.04	9	-	-	-
LNU750	78863.3	-	-	-	2650.0	0.13	9	-	-	-
CONT.	-	253.4	-	-	2433.9	-	-	12.8	-	-
LNU976	78364.1	-	-	-	3637.5	0.27	11	-	-	-
LNU976	78364.2	-	-	-	-	-	-	12.2	0.14	3
LNU970	78389.8	276.2	0.11	12	3700.0	L	13	-	-	-
LNU968	77917.3	-	-	-	3470.5	0.12	6	-	-	-
LNU967	79001.1	-	-	-	3493.8	0.14	7	-	-	-
LNU967	79002.4	258.1	0.07	5	3511.6	0.24	8	-	-	-
LNU963	78383.4	255.0	0.22	4	3668.8	L	12	-	-	-
LNU963	78384.2	268.8	0.02	9	3493.8	0.11	7	-	-	-
LNU950	78915.2	263.1	0.06	7	3581.2	0.06	10	-	-	-
LNU934	79007.5	-	-	-	-	-	-	12.2	0.09	3
LNU908	79734.4	-	-	-	3443.8	0.14	6	12.1	0.29	2
LNU908	79736.2	-	-	-	3525.0	0.18	8	-	-	-
LNU908	79736.4	258.1	0.21	5	-	-	-	-	-	-
LNU902	79604.2	256.2	0.24	4	3600.0	0.11	10	-	-	-
LNU902	79604.4	-	-	-	-	-	-	12.5	0.03	5
LNU902	79606.1	-	-	-	3518.8	0.05	8	-	-	-
LNU885	78416.1	-	-	-	3481.2	0.08	7	-	-	-
LNU885	78416.5	-	-	-	3437.5	0.14	5	-	-	-
LNU885	78419.3	261.9	0.04	6	3475.0	0.15	7	-	-	-
LNU885	78420.1	265.6	0.01	8	3718.8	L	14	-	-	-
LNU879	77799.2	-	-	-	3481.2	0.08	7	-	-	-
LNU879	77799.3	259.4	0.24	5	-	-	-	-	-	-
LNU875	78413.4	-	-	-	-	-	-	12.4	0.07	4
LNU875	78415.1	-	-	-	3562.5	0.24	9	-	-	-
LNU858	79584.2	-	-	-	3625.0	0.15	11	-	-	-
LNU858	79585.1	263.3	0.02	7	3747.3	0.05	15	-	-	-
LNU858	79586.3	275.0	0.28	12	-	-	-	12.4	0.22	4
LNU790	78889.2	-	-	-	-	-	-	12.5	0.16	5
LNU790	78890.1	268.1	0.11	9	3662.5	0.08	12	-	-	-
LNU790	78890.3	-	-	-	3400.0	0.25	4	12.6	0.07	6
LNU767	79146.1	-	-	-	-	-	-	12.3	0.06	4
LNU767	79146.2	263.1	0.02	7	3506.2	0.08	7	12.3	0.18	4
CONT.	-	246.0	-	-	3262.5	-	-	11.9	-	-
LNU947	77446.1	318.8	0.02	8	3731.2	0.11	5	-	-	-
LNU947	77447.3	318.1	0.02	8	3737.5	0.03	5	12.5	0.07	4
LNU940	77812.4	-	-	-	3737.5	0.03	5	-	-	-
LNU900	78851.3	317.5	0.11	8	3800.0	0.03	7	-	-	-
LNU900	78852.5	-	-	-	3678.6	0.11	3	-	-	-
LNU900	78854.3	314.4	0.09	7	-	-	-	-	-	-
LNU898	78981.3	322.1	0.01	9	3873.2	0.11	9	12.4	0.14	3
LNU898	78983.4	325.6	0.01	10	3843.8	L	8	12.4	0.05	3
LNU898	78985.1	308.1	0.14	5	3750.0	0.07	5	-	-	-
LNU898	78985.4	-	-	-	3656.2	0.18	3	-	-	-
LNU894	78282.3	-	-	-	3750.0	0.07	5	12.6	0.20	5
LNU894	78283.4	316.2	0.13	7	3718.8	0.18	5	-	-	-
LNU894	78283.7	322.5	0.10	9	3775.0	0.16	6	12.8	L	6
LNU846	78436.2	323.8	L	10	3825.0	0.02	8	-	-	-
LNU820	77807.2	325.0	0.19	10	3737.5	0.05	5	-	-	-
LNU815	77492.2	-	-	-	3712.5	0.06	4	-	-	-
LNU815	77492.6	315.6	0.24	7	3818.8	0.10	7	12.5	0.07	4
LNU815	77494.1	-	-	-	-	-	-	13.1	0.14	9
LNU815	77495.3	-	-	-	-	-	-	12.5	0.02	4
LNU814	78953.2	-	-	-	-	-	-	12.7	0.09	5
LNU814	78953.3	311.9	0.13	6	-	-	-	-	-	-
LNU814	78955.4	-	-	-	-	-	-	12.6	0.14	4
LNU811	78176.1	-	-	-	3775.0	0.02	6	-	-	-
LNU811	78176.8	-	-	-	-	-	-	12.4	0.05	3
LNU797	78025.2	-	-	-	3916.1	L	10	-	-	-
LNU797	78025.3	-	-	-	3812.5	0.05	7	-	-	-
LNU793	78166.4	303.8	0.29	3	-	-	-	-	-	-
LNU793	78167.2	-	-	-	-	-	-	12.4	0.14	3
LNU793	78169.1	-	-	-	-	-	-	12.5	0.27	4
LNU780	77489.4	-	-	-	3689.6	0.28	4	-	-	-
LNU776	79747.1	-	-	-	3834.5	0.28	8	-	-	-
LNU769	78163.8	308.1	0.27	5	-	-	-	-	-	-
LNU769	78165.2	327.5	0.13	11	3681.2	0.13	4	-	-	-
LNU759	77236.2	-	-	-	3632.1	0.30	2	-	-	-
LNU759	77236.8	312.5	0.06	6	3825.0	0.08	8	-	-	-
LNU751	77477.1	-	-	-	3806.2	L	7	-	-	-
LNU751	77478.3	308.1	0.14	5	-	-	-	-	-	-
CONT.	-	294.8	-	-	3555.4	-	-	12.0	-	-
LNU972	78907.1	-	-	-	4868.8	0.04	12	-	-	-
LNU943	78407.1	-	-	-	-	-	-	12.4	0.13	3
LNU943	78407.2	-	-	-	-	-	-	12.2	0.29	2
LNU913	78592.1	-	-	-	-	-	-	12.4	0.03	3
LNU913	78592.4	432.5	0.25	17	4681.2	0.21	8	-	-	-
LNU864	79339.2	-	-	-	4718.8	0.12	9	-	-	-
LNU850	78638.7	-	-	-	4837.5	0.05	11	-	-	-
LNU768	77883.4	-	-	-	4587.5	0.30	6	-	-	-
CONT.	-	368.8	-	-	4341.1	-	-	12.0	-	-
Table 126. “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant.

Genes showing improved plant biomass production at standard nitrogen growth conditions
Gene Name	Event #	Plot Coverage [cm2]	Rosette Area [cm2]	Rosette Diameter [cm]
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU966	78604.1	87.4	0.28	11	10.9	0.28	11	5.52	0.28	7
LNU966	78605.5	87.3	0.17	11	10.9	0.17	11	-	-	-
LNU941	78615.3	87.8	0.29	12	11.0	0.29	12	-	-	-
LNU918	78434.2	-	-	-	-	-	-	5.48	0.19	6
LNU915	78426.1	91.7	0.26	17	11.5	0.26	17	5.74	0.21	11
LNU915	78428.1	94.7	0.03	20	11.8	0.03	20	5.69	0.06	10
LNU909	78424.3	96.2	0.24	22	12.0	0.24	22	5.78	0.11	12
LNU830	78741.5	-	-	-	-	-	-	5.51	0.24	7
LNU824	77826.1	87.0	0.18	11	10.9	0.18	11	-	-	-
LNU822	78623.7	91.8	0.28	17	11.5	0.28	17	5.61	0.29	8
LNU806	78515.4	86.7	0.19	10	10.8	0.19	10	5.49	0.17	6
LNU806	78515.5	100.9	0.19	28	12.6	0.19	28	5.96	0.27	15
CONT.	-	78.6	-	-	9.83	-	-	5.17	-	-
LNU976	78364.1	42.6	L	44	5.33	L	44	4.05	L	24
LNU976	78364.5	35.5	0.01	20	4.44	0.01	20	3.64	0.02	11
LNU970	78388.1	35.7	0.02	21	4.46	0.02	21	3.70	0.15	13
LNU970	78389.2	-	-	-	-	-	-	3.39	0.16	3
LNU970	78389.8	36.1	0.18	22	4.81	L	30	3.80	L	16
LNU970	78390.3	-	-	-	-	-	-	3.41	0.10	4
LNU968	77918.3	33.3	0.15	13	4.17	0.15	13	3.46	0.26	6
LNU968	77919.4	35.9	L	21	4.49	L	21	3.64	L	11
LNU963	78383.4	32.2	0.07	9	4.03	0.07	9	3.43	0.18	5
LNU963	78385.1	34.1	0.20	15	4.26	0.20	15	3.53	0.21	8
LNU950	78913.4	-	-	-	-	-	-	3.46	0.29	6
LNU949	80557.4	33.2	0.15	12	4.15	0.15	12	3.51	0.23	7
LNU934	79007.5	32.9	0.10	11	4.11	0.10	11	-	-	-
LNU934	79008.1	32.7	0.22	10	4.09	0.22	10	3.48	0.20	6
LNU902	79606.5	-	-	-	-	-	-	3.77	0.26	15
LNU843	78962.4	33.8	0.24	14	4.23	0.24	14	-	-	-
LNU790	78886.3	31.7	0.19	7	3.96	0.19	7	3.39	0.16	4
LNU790	78890.1	35.0	L	18	4.38	L	18	3.62	L	10
LNU787	80547.3	31.4	0.21	6	3.92	0.21	6	3.43	0.07	5
LNU785	79616.8	35.5	0.01	20	4.43	0.01	20	3.49	0.02	7
LNU767	79146.1	35.0	0.27	18	4.38	0.27	18	-	-	-
LNU767	79146.2	33.5	0.03	13	4.18	0.03	13	3.49	0.02	7
CONT.	-	29.6	-	-	3.70	-	-	3.27	-	-
LNU941	78613.1	105.6	0.15	14	13.2	0.15	13	6.16	0.13	7
LNU915	78428.1	-	-	-	-	-	-	6.18	0.26	7
LNU909	78425.4	-	-	-	-	-	-	6.08	0.25	6
LNU830	78741.3	123.8	0.21	34	16.5	0.01	41	6.88	L	19
LNU830	78741.5	127.1	L	38	15.9	L	36	6.74	0.01	17
LNU830	78742.6	103.8	0.23	12	13.0	0.25	11	6.03	0.29	5
LNU813	77681.4	115.6	0.16	25	14.4	0.18	24	6.63	0.03	15
CONT.	-	92.4	-	-	11.7	-	-	5.76	-	-
LNU948	78376.3	94.8	0.03	23	11.9	0.03	23	5.98	0.17	11
LNU948	78378.1	103.6	0.11	34	13.0	0.11	34	6.04	0.15	12
LNU921	79063.2	93.0	0.02	20	11.6	0.02	20	5.65	0.14	5
LNU921	79064.2	97.5	L	26	12.2	L	26	6.27	L	16
LNU921	79064.3	109.9	L	42	13.7	L	42	6.10	L	13
LNU889	79599.1	91.9	0.01	19	11.5	0.01	19	5.75	0.05	7
LNU889	79602.4	86.1	0.08	11	10.8	0.08	11	5.58	0.29	3
LNU888	78771.1	84.6	0.27	9	10.6	0.27	9	-	-	-
LNU881	78372.2	94.2	L	22	11.8	L	22	5.94	L	10
LNU881	78373.1	95.7	0.03	24	12.0	0.03	24	5.81	0.04	8
LNU881	78373.2	108.9	0.08	41	13.6	0.08	41	6.31	0.14	17
LNU881	78374.1	95.8	0.03	24	12.0	0.03	24	5.93	0.01	10
LNU865	79761.2	129.8	L	68	16.2	L	68	6.89	L	28
LNU865	79761.4	111.1	L	44	13.9	L	44	6.58	0.03	22
LNU865	79761.7	95.8	0.23	24	12.0	0.23	24	5.92	0.12	10
LNU831	79333.1	93.5	0.11	21	11.7	0.11	21	5.88	0.12	9
LNU816	78957.1	101.1	0.27	31	12.6	0.27	31	6.04	0.02	12
LNU816	78958.5	100.6	0.09	30	12.6	0.09	30	5.99	0.03	11
LNU816	78958.7	95.0	L	23	11.9	L	23	5.82	0.02	8
LNU809	79168.3	84.4	0.14	9	10.5	0.14	9	5.72	0.07	6
LNU809	79169.5	87.1	0.20	13	10.9	0.20	13	5.67	0.14	5
LNU795	79525.1	92.3	0.07	19	11.5	0.07	19	5.85	0.02	8
LNU795	79525.4	92.7	0.20	20	11.6	0.20	20	-	-	-
LNU795	79525.5	-	-	-	-	-	-	5.61	0.17	4
LNU788	78516.1	110.6	0.06	43	13.8	0.06	43	6.25	L	16
LNU788	78517.1	97.7	L	26	12.2	L	26	5.88	0.01	9
LNU788	78518.1	125.2	0.06	62	15.6	0.06	62	6.62	L	23
LNU783	79178.2	85.4	0.15	10	10.7	0.15	10	5.58	0.24	3
LNU783	79178.4	84.9	0.22	10	10.6	0.22	10	5.95	0.02	10
LNU778	78944.1	109.0	0.16	41	13.6	0.16	41	6.16	0.18	14
LNU778	78944.2	87.1	0.06	13	10.9	0.06	13	5.61	0.22	4
LNU762	79328.3	86.0	0.15	11	10.7	0.15	11	-	-	-
LNU762	79330.3	82.6	0.26	7	10.3	0.26	7	-	-	-
LNU752	78153.1	-	-	-	-	-	-	6.16	0.22	14
LNU752	78155.2	84.2	0.23	9	10.5	0.23	9	5.69	0.11	5
CONT.	-	77.4	-	-	9.67	-	-	5.40	-	-
LNU882	78973.4	105.5	0.10	7	13.2	0.10	7	6.07	0.11	4
LNU848	77906.2	112.2	0.07	13	14.0	0.07	13	6.37	L	9
LNU846	78439.4	120.8	0.20	22	15.1	0.20	22	6.53	L	12
LNU823	78122.2	-	-	-	-	-	-	6.04	0.19	3
LNU823	78137.3	109.4	0.19	10	13.7	0.19	10	-	-	-
LNU814	78955.4	-	-	-	-	-	-	5.99	0.28	2
LNU772	78938.1	122.1	L	23	15.3	L	23	6.48	0.11	11
LNU757	77485.4	103.0	0.28	4	12.9	0.28	4	-	-	-
CONT.	-	99.0	-	-	12.4	-	-	5.84	-	-
LNU972	78907.1	77.6	0.27	10	9.69	0.27	10	-	-	-
LNU972	78909.3	87.4	L	23	10.9	L	23	5.90	0.09	13
LNU961	79143.4	-	-	-	-	-	-	5.57	0.20	7
LNU961	79145.3	80.9	0.10	14	10.1	0.10	14	5.50	0.20	5
LNU958	77687.2	86.2	0.08	22	10.8	0.08	22	-	-	-
LNU958	77687.5	88.0	0.05	24	11.0	0.05	24	6.04	0.05	16
LNU958	77689.1	81.8	L	16	10.2	L	16	5.53	0.02	6
LNU948	78378.1	84.7	0.28	20	10.6	0.28	20	5.76	0.24	10
LNU948	78379.4	75.6	0.14	7	9.45	0.14	7	-	-	-
LNU948	78380.2	81.3	0.25	15	10.2	0.25	15	5.54	0.16	6
LNU921	79063.2	83.6	0.19	18	10.4	0.19	18	-	-	-
LNU921	79064.3	83.6	L	18	10.5	L	18	5.65	0.02	8
LNU913	78592.1	90.3	0.03	28	11.3	0.03	28	5.91	L	13
LNU913	78592.3	83.4	0.03	18	10.4	0.03	18	5.58	0.15	7
LNU913	78592.4	90.8	L	28	11.4	L	28	5.79	0.03	11
LNU913	78593.1	85.4	L	21	10.7	L	21	5.68	L	9
LNU913	78593.6	95.2	L	35	11.9	L	35	5.88	L	13
LNU912	78403.2	81.4	L	15	10.2	L	15	5.70	L	9
LNU912	78404.1	80.8	0.17	14	10.1	0.17	14	-	-	-
LNU889	79599.1	74.2	0.29	5	9.28	0.29	5	-	-	-
LNU889	79601.4	75.9	0.16	7	9.49	0.16	7	5.46	0.14	5
LNU889	79602.4	74.8	0.21	6	9.35	0.21	6	5.43	0.14	4
LNU881	78372.2	86.7	0.08	22	10.8	0.08	22	5.84	L	12
LNU881	78373.2	92.0	L	30	11.5	L	30	5.81	L	11
LNU881	78374.1	79.5	0.14	12	9.94	0.14	12	-	-	-
LNU823	78136.4	80.5	0.01	14	10.1	0.01	14	5.50	0.03	5
LNU816	78957.1	86.7	0.03	22	10.8	0.03	22	5.78	0.11	11
LNU816	78958.7	96.7	L	37	12.1	L	37	6.13	L	17
LNU809	79168.3	80.8	0.14	14	10.1	0.14	14	5.48	0.12	5
LNU809	79169.2	80.4	0.01	14	10.1	0.01	14	5.48	0.04	5
LNU782	77441.1	87.6	0.04	24	10.9	0.04	24	5.72	0.02	10
LNU782	77444.2	76.2	0.26	8	9.53	0.26	8	-	-	-
LNU782	77444.9	87.9	0.19	24	11.0	0.19	24	5.66	0.07	8
LNU772	78937.4	75.5	0.14	7	9.44	0.14	7	-	-	-
LNU772	78938.1	99.5	L	41	12.4	L	41	6.35	0.03	22
LNU772	78940.2	85.8	L	21	10.7	L	21	5.86	L	12
LNU762	79329.2	75.6	0.24	7	9.45	0.24	7	-	-	-
CONT.	-	70.8	-	-	8.85	-	-	5.22	-	-
LNU882	78973.1	89.3	L	19	11.2	L	19	5.94	0.20	12
LNU882	78973.4	92.0	0.02	23	11.5	0.02	23	5.91	L	11
LNU871	78195.4	78.1	0.18	4	9.77	0.18	4	5.45	0.24	3
LNU865	79761.2	83.8	0.11	12	10.5	0.11	12	5.69	0.06	7
LNU865	79761.7	87.1	0.23	16	10.9	0.23	16	5.89	0.21	11
LNU857	78867.1	84.7	0.17	13	10.6	0.17	13	5.79	0.20	9
LNU835	78186.2	84.2	L	12	10.5	L	12	5.78	0.02	9
LNU807	79250.1	81.1	0.08	8	10.1	0.08	8	-	-	-
LNU798	79671.4	88.0	0.03	17	11.0	0.03	17	5.72	0.08	8
LNU795	79525.4	80.8	0.09	8	10.1	0.09	8	5.48	0.18	3
LNU766	78931.2	84.1	0.07	12	10.5	0.07	12	5.71	L	8
LNU766	78932.1	94.9	0.14	27	11.9	0.14	27	5.91	0.06	11
CONT.	-	74.9	-	-	9.36	-	-	5.30	-	-
LNU976	78362.2	-	-	-	-	-	-	6.38	0.08	6
LNU976	78364.2	116.5	0.10	14	14.6	0.08	12	6.57	0.02	10
LNU970	78389.8	140.6	L	38	17.6	L	36	6.84	L	14
LNU970	78390.3	119.1	0.06	16	14.9	0.05	15	6.53	0.11	9
LNU963	78383.1	-	-	-	-	-	-	6.31	0.12	5
LNU963	78383.3	-	-	-	-	-	-	6.28	0.22	5
LNU963	78384.2	119.9	0.05	17	15.0	0.03	16	6.38	0.07	6
LNU934	79007.5	127.0	0.17	24	15.9	0.19	23	-	-	-
LNU902	79606.1	110.6	0.29	8	13.8	0.30	7	6.32	0.11	5
LNU885	78416.1	110.6	0.28	8	13.8	0.28	7	6.28	0.16	5
LNU885	78419.3	111.5	0.24	9	13.9	0.24	8	6.42	0.24	7
LNU879	77799.2	-	-	-	-	-	-	6.25	0.29	4
LNU858	79586.3	113.6	0.22	11	14.2	0.24	10	6.41	0.06	7
LNU858	79587.2	-	-	-	-	-	-	6.29	0.16	5
LNU790	78890.1	119.7	0.08	17	15.0	0.08	16	6.50	0.14	8
CONT.	-	102.2	-	-	12.9	-	-	5.99	-	-
LNU947	77446.1	89.3	0.29	7	11.2	0.29	7	-	-	-
LNU947	77447.3	96.7	0.01	16	12.1	0.01	16	5.74	0.16	6
LNU947	77448.4	125.6	L	50	15.7	L	50	6.93	0.09	28
LNU940	77812.4	95.1	0.04	14	11.9	0.04	14	5.79	0.05	7
LNU940	77813.1	106.9	L	28	13.4	L	28	6.02	L	11
LNU900	78851.3	101.5	0.03	21	12.7	0.03	21	5.85	0.07	8
LNU900	78854.3	95.3	0.05	14	11.9	0.05	14	6.01	0.07	11
LNU898	78983.4	104.6	L	25	13.1	L	25	6.00	0.02	11
LNU898	78985.1	97.5	0.30	16	12.2	0.30	16	-	-	-
LNU898	78985.4	92.5	0.09	10	11.6	0.09	10	5.65	0.18	4
LNU894	78283.7	106.3	0.28	27	13.3	0.28	27	-	-	-
LNU846	78439.4	114.8	0.19	37	14.4	0.19	37	6.41	0.17	18
LNU820	77807.2	100.2	L	20	12.5	L	20	6.00	L	11
LNU815	77494.1	113.0	L	35	14.1	L	35	6.26	L	15
LNU815	77495.3	91.5	0.07	9	11.4	0.07	9	5.77	0.13	6
LNU814	78953.2	100.2	0.12	20	12.5	0.12	20	5.94	0.19	10
LNU814	78953.3	97.3	0.23	16	12.2	0.23	16	5.79	0.22	7
LNU811	78176.3	-	-	-	-	-	-	5.66	0.18	4
LNU811	78176.8	95.2	0.21	14	11.9	0.21	14	-	-	-
LNU811	78179.1	119.1	0.09	42	14.9	0.09	42	6.49	0.17	20
LNU797	78021.4	-	-	-	-	-	-	5.70	0.10	5
LNU797	78025.3	100.3	0.15	20	12.5	0.15	20	5.96	0.08	10
LNU793	78166.4	-	-	-	-	-	-	5.96	0.27	10
LNU793	78168.1	97.7	0.02	17	12.2	0.02	17	5.88	0.08	8
LNU793	78169.2	97.8	0.04	17	12.2	0.04	17	5.80	0.07	7
LNU769	78163.8	-	-	-	-	-	-	5.78	0.08	6
LNU756	77581.3	98.6	0.26	18	12.3	0.26	18	5.89	0.20	9
LNU751	77478.3	95.4	0.02	14	11.9	0.02	14	-	-	-
CONT.	-	83.7	-	-	10.5	-	-	5.43	-	-
LNU972	78909.3	122.2	0.04	11	15.3	0.04	11	-	-	-
LNU943	78407.2	123.5	0.23	12	15.4	0.23	12	-	-	-
LNU913	78592.1	121.9	0.05	11	15.2	0.05	11	6.47	0.10	4
LNU913	78593.1	134.7	0.15	22	16.8	0.15	22	6.91	L	11
LNU864	79339.2	118.0	0.13	7	14.7	0.13	7	-	-	-
LNU833	78184.1	117.7	0.11	7	14.7	0.11	7	6.52	0.18	5
LNU764	78926.1	116.1	0.16	5	14.5	0.16	5	-	-	-
LNU764	78929.1	118.2	0.07	7	14.8	0.07	7	-	-	-
CONT.	-	110.3	-	-	13.8	-	-	6.21	-	-
Table 127: “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant.

The genes listed in Table 128 improved plant NUE when grown at standard nitrogen concentration levels. These genes produced faster developing plants when grown under limiting nitrogen growth conditions, compared to control plants, grown under identical growth conditions, as measured by growth rate of leaf number, rosette diameter and plot coverage.

Genes showing improved rosette growth performance at standard nitrogen growth conditions
Gene Name	Event #	RGR Of Leaf Number	RGR Of Plot Coverage [cm2/day]	RGR Of Rosette Diameter [cm/day]
Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.	Ave.	P-Val.	% Incr.
LNU941	78613.5	0.870	0.22	18	-	-	-	-	-	-
LNU941	78615.3	0.902	0.14	23	-	-	-	-	-	-
LNU922	78290.1	0.916	0.11	25	-	-	-	-	-	-
LNU918	78433.8	0.889	0.16	21	-	-	-	-	-	-
LNU918	78434.2	0.864	0.27	18	-	-	-	-	-	-
LNU915	78426.1	-	-	-	11.0	0.28	18	0.454	0.29	16
LNU915	78428.1	-	-	-	11.4	0.19	22	-	-	-
LNU915	78428.2	0.871	0.20	19	-	-	-	-	-	-
LNU909	78424.3	0.919	0.09	25	11.4	0.19	23	0.463	0.23	18
LNU909	78425.4	0.881	0.19	20	-	-	-	-	-	-
LNU849	78498.4	0.880	0.19	20	-	-	-	-	-	-
LNU830	78741.3	0.859	0.25	17	-	-	-	-	-	-
LNU830	78741.5	0.851	0.29	16	-	-	-	-	-	-
LNU822	78623.2	0.859	0.28	17	-	-	-	-	-	-
LNU813	77682.3	0.862	0.27	17	-	-	-	-	-	-
LNU806	78515.4	0.921	0.10	25	-	-	-	-	-	-
LNU806	78515.5	-	-	-	12.0	0.09	30	0.460	0.27	18
LNU779	77887.3	0.887	0.16	21	-	-	-	-	-	-
CONT.	-	0.734	-	-	9.29	-	-	0.391	-	-
LNU976	78364.1	-	-	-	5.11	L	43	0.312	0.02	22
LNU976	78364.5	-	-	-	4.32	0.07	21	0.297	0.07	17
LNU970	78388.1	-	-	-	4.32	0.07	21	-	-	-
LNU970	78389.8	-	-	-	4.21	0.12	18	0.293	0.10	15
LNU968	77918.3	-	-	-	4.01	0.28	13	-	-	-
LNU968	77919.4	-	-	-	4.37	0.06	23	-	-	-
LNU963	78385.1	-	-	-	4.07	0.22	14	-	-	-
LNU949	80553.8	-	-	-	4.22	0.12	19	0.286	0.20	12
LNU949	80557.4	-	-	-	4.05	0.24	14	0.282	0.25	11
LNU902	79606.5	-	-	-	4.36	0.09	23	0.288	0.21	13
LNU843	78962.4	-	-	-	4.08	0.20	15	-	-	-
LNU790	78890.1	-	-	-	4.16	0.14	17	0.284	0.22	11
LNU785	79616.8	-	-	-	4.26	0.09	20	-	-	-
LNU767	79146.1	-	-	-	4.20	0.14	18	-	-	-
LNU767	79146.2	-	-	-	4.01	0.27	13	-	-	-
CONT.	-	-	-	-	3.56	-	-	0.255	-	-
LNU918	78433.1	0.818	0.28	15	-	-	-	-	-	-
LNU854	78238.1	0.816	0.30	15	-	-	-	-	-	-
LNU849	78500.1	0.819	0.29	15	-	-	-	-	-	-
LNU830	78741.3	-	-	-	15.4	0.09	35	0.615	0.12	24
LNU830	78741.5	-	-	-	15.3	0.11	34	-	-	-
LNU813	77681.4	-	-	-	14.3	0.21	25	-	-	-
LNU780	77489.4	-	-	-	14.3	0.23	25	-	-	-
CONT.	-	0.712	-	-	11.5	-	-	0.497	-	-
LNU948	78376.3	-	-	-	13.9	0.13	26	0.579	0.29	15
LNU948	78378.1	-	-	-	15.2	0.04	38	-	-	-
LNU948	78380.3	0.791	0.04	41	-	-	-	-	-	-
LNU921	79061.1	0.796	0.05	42	-	-	-	-	-	-
LNU921	79063.2	-	-	-	13.8	0.14	25	-	-	-
LNU921	79064.2	-	-	-	14.4	0.06	31	0.632	0.06	25
LNU921	79064.3	-	-	-	16.4	L	49	0.597	0.16	18
LNU921	79065.1	0.781	0.05	39	-	-	-	-	-	-
LNU912	78401.4	-	-	-	-	-	-	0.582	0.27	15
LNU912	78402.3	0.711	0.23	27	-	-	-	-	-	-
LNU912	78405.2	0.905	0.01	61	-	-	-	-	-	-
LNU889	79599.1	0.863	0.03	54	13.8	0.14	25	-	-	-
LNU889	79601.4	0.686	0.28	22	-	-	-	-	-	-
LNU888	78771.1	0.699	0.25	25	-	-	-	-	-	-
LNU881	78372.2	0.740	0.22	32	13.4	0.18	22	-	-	-
LNU881	78373.1	0.688	0.24	23	14.6	0.06	33	0.584	0.22	16
LNU881	78373.2	-	-	-	16.3	0.01	48	0.639	0.06	27
LNU881	78374.1	-	-	-	13.9	0.13	26	-	-	-
LNU881	78374.4	0.725	0.16	29	-	-	-	-	-	-
LNU865	79759.4	0.829	0.03	48	-	-	-	-	-	-
LNU865	79761.2	-	-	-	19.3	L	76	0.680	0.01	35
LNU865	79761.4	-	-	-	16.5	L	50	0.663	0.02	31
LNU865	79761.7	-	-	-	14.1	0.12	28	0.583	0.25	16
LNU857	78866.1	0.755	0.09	35	-	-	-	-	-	-
LNU857	78867.1	0.789	0.08	41	-	-	-	-	-	-
LNU857	78868.2	0.717	0.21	28	-	-	-	-	-	-
LNU857	78870.1	0.704	0.25	25	-	-	-	-	-	-
LNU831	79331.2	0.720	0.21	28	-	-	-	-	-	-
LNU831	79331.5	0.704	0.24	25	-	-	-	-	-	-
LNU831	79333.1	-	-	-	14.1	0.11	28	0.615	0.11	22
LNU831	79333.2	-	-	-	13.4	0.25	21	-	-	-
LNU816	78957.1	-	-	-	15.2	0.05	38	0.603	0.15	20
LNU816	78958.2	0.692	0.25	23	-	-	-	-	-	-
LNU816	78958.4	0.768	0.10	37	-	-	-	-	-	-
LNU816	78958.5	-	-	-	14.8	0.05	35	0.576	0.28	14
LNU816	78958.7	-	-	-	13.7	0.14	25	-	-	-
LNU809	79167.2	0.762	0.08	36	-	-	-	-	-	-
LNU809	79168.5	0.831	0.03	48	-	-	-	-	-	-
LNU807	79248.1	0.773	0.10	38	-	-	-	-	-	-
LNU807	79250.1	0.688	0.26	23	-	-	-	-	-	-
LNU795	79521.6	0.766	0.07	37	-	-	-	-	-	-
LNU795	79525.1	-	-	-	13.3	0.21	21	-	-	-
LNU795	79525.4	-	-	-	14.1	0.11	28	0.606	0.15	20
LNU788	78516.1	-	-	-	16.2	L	47	0.594	0.17	18
LNU788	78517.1	-	-	-	14.3	0.08	30	-	-	-
LNU788	78517.2	-	-	-	13.3	0.25	21	-	-	-
LNU788	78518.1	-	-	-	17.8	L	62	0.575	0.29	14
LNU788	78520.4	0.791	0.07	41	-	-	-	-	-	-
LNU783	79178.2	0.720	0.19	28	-	-	-	-	-	-
LNU783	79178.4	-	-	-	-	-	-	0.587	0.21	16
LNU778	78944.1	-	-	-	16.3	0.01	48	0.593	0.21	18
LNU778	78944.2	0.719	0.23	28	-	-	-	-	-	-
LNU762	79326.1	0.697	0.29	24	-	-	-	-	-	-
LNU752	78151.2	0.686	0.26	22	-	-	-	-	-	-
LNU752	78153.1	0.684	0.28	22	15.3	0.05	39	0.618	0.12	22
CONT.	-	0.561	-	-	11.0	-	-	0.504	-	-
LNU846	78439.4	-	-	-	15.1	0.13	22	-	-	-
LNU814	78955.5	0.958	0.09	17	-	-	-	-	-	-
LNU772	78938.1	-	-	-	15.1	0.13	22	-	-	-
LNU757	77483.2	0.925	0.19	13	-	-	-	-	-	-
CONT.	-	0.818	-	-	12.4	-	-	-	-	-
LNU972	78907.1	0.923	0.01	20	-	-	-	-	-	-
LNU972	78909.3	-	-	-	10.4	0.06	23	0.484	0.08	16
LNU961	79143.3	0.835	0.26	8	-	-	-	-	-	-
LNU961	79143.4	-	-	-	-	-	-	0.458	0.28	10
LNU958	77687.2	-	-	-	10.2	0.09	21	-	-	-
LNU958	77687.5	-	-	-	10.5	0.05	24	0.491	0.06	17
LNU958	77689.1	-	-	-	9.75	0.21	15	-	-	-
LNU948	78378.1	-	-	-	9.85	0.21	17	0.469	0.19	12
LNU948	78380.2	-	-	-	9.66	0.26	14	-	-	-
LNU921	79063.2	-	-	-	10.0	0.15	18	-	-	-
LNU921	79064.3	-	-	-	9.89	0.17	17	-	-	-
LNU913	78592.1	-	-	-	10.8	0.04	27	0.471	0.16	13
LNU913	78592.3	0.874	0.09	13	10.1	0.12	19	-	-	-
LNU913	78592.4	0.887	0.14	15	10.8	0.03	27	0.462	0.24	10
LNU913	78593.1	-	-	-	10.2	0.09	21	-	-	-
LNU913	78593.6	0.923	0.04	20	11.2	0.01	33	0.460	0.25	10
LNU912	78403.2	0.846	0.22	10	9.68	0.24	15	0.471	0.17	13
LNU912	78404.1	-	-	-	9.60	0.27	14	-	-	-
LNU888	78772.1	0.847	0.26	10	-	-	-	-	-	-
LNU888	78772.7	0.877	0.14	14	-	-	-	-	-	-
LNU881	78372.2	-	-	-	10.1	0.12	20	0.467	0.19	12
LNU881	78373.2	0.856	0.21	11	11.0	0.02	31	0.466	0.19	11
LNU881	78374.1	0.890	0.08	16	-	-	-	-	-	-
LNU823	78136.4	-	-	-	9.63	0.26	14	-	-	-
LNU816	78957.1	-	-	-	10.3	0.09	22	0.472	0.16	13
LNU816	78958.7	-	-	-	11.5	L	36	0.500	0.03	20
LNU809	79168.3	0.844	0.26	10	9.74	0.22	15	-	-	-
LNU809	79169.2	-	-	-	9.59	0.27	13	-	-	-
LNU782	77441.1	-	-	-	10.4	0.07	23	-	-	-
LNU782	77444.9	-	-	-	10.4	0.08	22	-	-	-
LNU772	78938.1	-	-	-	11.9	L	41	0.524	L	25
LNU772	78940.2	-	-	-	10.2	0.10	21	0.482	0.09	15
LNU757	77481.1	0.911	0.05	18	-	-	-	-	-	-
LNU757	77483.3	0.841	0.29	9	-	-	-	-	-	-
LNU757	77485.4	0.925	0.01	20	-	-	-	-	-	-
CONT.	-	0.770	-	-	8.45	-	-	0.418	-	-
LNU882	78973.1	-	-	-	10.8	0.06	21	0.469	0.09	14
LNU882	78973.4	-	-	-	11.1	0.03	24	0.456	0.16	11
LNU865	79761.2	-	-	-	10.0	0.24	13	0.461	0.12	12
LNU865	79761.7	-	-	-	10.4	0.13	17	0.466	0.10	14
LNU857	78867.1	-	-	-	10.3	0.17	15	0.459	0.15	12
LNU848	77909.3	-	-	-	10.2	0.21	15	-	-	-
LNU835	78186.2	-	-	-	10.1	0.23	13	0.461	0.12	13
LNU828	77598.3	-	-	-	10.3	0.18	15	-	-	-
LNU807	79248.5	0.998	0.24	14	-	-	-	-	-	-
LNU798	79671.4	-	-	-	10.7	0.06	20	0.450	0.22	10
LNU766	78931.2	-	-	-	10.0	0.24	13	0.444	0.30	8
LNU766	78932.1	-	-	-	11.3	0.02	26	0.456	0.18	11
LNU752	78153.1	1.02	0.16	17	-	-	-	-	-	-
CONT.	-	0.873	-	-	8.92	-	-	0.410	-	-
LNU976	78364.2	-	-	-	-	-	-	0.579	0.14	15
LNU970	78389.8	-	-	-	17.5	0.01	38	0.578	0.14	15
LNU970	78390.3	-	-	-	14.8	0.25	17	0.560	0.28	11
LNU963	78384.2	-	-	-	15.0	0.20	19	-	-	-
LNU934	79007.5	-	-	-	15.5	0.14	23	-	-	-
LNU924	77608.3	-	-	-	-	-	-	0.558	0.30	11
LNU902	79604.4	0.894	0.11	19	-	-	-	-	-	-
LNU790	78890.1	-	-	-	14.7	0.26	16	-	-	-
LNU790	78890.3	0.881	0.16	17	-	-	-	-	-	-
LNU767	79146.1	0.862	0.21	15	-	-	-	-	-	-
CONT.	-	0.750	-	-	12.6	-	-	0.503	-	-
LNU947	77447.3	-	-	-	11.7	0.23	15	-	-	-
LNU947	77448.4	-	-	-	15.2	L	50	0.552	L	28
LNU940	77812.4	-	-	-	11.7	0.25	15	-	-	-
LNU940	77813.1	-	-	-	13.0	0.03	28	0.482	0.18	12
LNU900	78851.3	-	-	-	12.2	0.11	21	-	-	-
LNU900	78854.3	-	-	-	11.6	0.26	14	0.511	0.04	19
LNU898	78983.4	-	-	-	12.7	0.05	26	0.482	0.17	12
LNU898	78985.1	-	-	-	12.0	0.17	18	0.480	0.21	12
LNU894	78282.3	-	-	-	12.0	0.20	18	-	-	-
LNU894	78283.4	0.909	0.18	16	12.4	0.11	22	-	-	-
LNU894	78283.7	-	-	-	12.8	0.07	27	0.485	0.28	13
LNU846	78438.2	-	-	-	-	-	-	0.476	0.26	11
LNU846	78439.4	-	-	-	13.8	0.01	36	0.499	0.13	16
LNU820	77807.2	-	-	-	12.2	0.11	21	0.502	0.06	17
LNU815	77492.6	-	-	-	12.5	0.11	23	0.479	0.28	11
LNU815	77494.1	-	-	-	13.8	L	36	0.510	0.04	19
LNU815	77495.3	-	-	-	-	-	-	0.476	0.23	11
LNU814	78953.2	-	-	-	12.1	0.13	20	0.490	0.13	14
LNU814	78953.3	-	-	-	11.8	0.23	16	-	-	-
LNU811	78176.8	-	-	-	11.6	0.25	15	-	-	-
LNU811	78179.1	-	-	-	14.2	L	41	0.517	0.05	20
LNU797	78025.3	-	-	-	12.2	0.14	20	0.487	0.16	13
LNU793	78166.4	-	-	-	12.1	0.15	19	0.479	0.24	11
LNU793	78168.1	-	-	-	12.1	0.13	19	0.493	0.11	15
LNU793	78169.2	-	-	-	11.9	0.19	17	-	-	-
LNU769	78163.4	-	-	-	-	-	-	0.488	0.20	14
LNU769	78163.8	-	-	-	-	-	-	0.480	0.22	12
LNU756	77581.3	-	-	-	12.1	0.14	20	0.483	0.19	12
LNU751	77477.1	0.878	0.25	12	-	-	-	-	-	-
LNU751	77477.4	0.914	0.19	16	-	-	-	-	-	-
LNU751	77478.3	-	-	-	11.7	0.23	15	-	-	-
CONT.	-	0.786	-	-	10.1	-	-	0.430	-	-
LNU913	78593.1	-	-	-	16.7	0.09	23	-	-	-
LNU896	78978.1	0.887	0.26	14	-	-	-	-	-	-
CONT.	-	0.777	-	-	13.6	-	-	-	-	-
Table 128. “CONT.” - Control; “Ave.” - Average; “% Incr.” =% increment; “p-val.” - p-value; L means that p-value is less than 0.01, p<0.1 was considered as significant.

Example 19

Evaluation of Transgenic Brachypodium Nue and Yield Under Low or Normal Nitrogen Fertilization in Greenhouse Assay

Assay 1: Nitrogen Use efficiency measured plant biomass and yield at limited and optimal nitrogen concentration under greenhouse conditions until heading - This assay follows the plant biomass formation and growth (measured by height) of plants which are grown in the greenhouse at limiting and non-limiting (e.g., normal) nitrogen growth conditions. Transgenic Brachypodium seeds were sown in peat plugs. The T₁ transgenic seedlings were then transplanted to 27.8 X 11.8 X 8.5 cm trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing nitrogen limiting conditions, which were achieved by irrigating the plants with a solution containing 3 mM inorganic nitrogen in the form of NH₄NO₃, supplemented with 1 mM KH₂PO₄, 1 mM MgSO₄, 3.6 mM KCl, 2 mM CaCl₂ and microelements, while normal nitrogen levels were achieved by applying a solution of 6 mM inorganic nitrogen also in the form of NH₄NO₃ with 1 mM KH₂PO₄, 1 mM MgSO₄, 2 mM CaCl2, 3.6 mM KCl and microelements. All plants were grown in the greenhouse until heading. Plant biomass (the above ground tissue) was weighted right after harvesting the shoots (plant fresh weight [FW]). Following, plants were dried in an oven at 70° C. for 48 hours and weighed (plant dry weight [DW]).

Each construct was validated at its T₁ generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the BASTA selectable marker were used as control (FIG. 9B).

The plants were analyzed for their overall size, fresh weight and dry matter. Transgenic plants performance was compared to control plants grown in parallel under the same conditions. Mock- transgenic plants with no gene and no promoter at all, were used as control (FIG. 9B).

The experiment was planned in blocks and nested randomized plot distribution within them. For each gene of the invention five independent transformation events were analyzed from each construct.

Phenotyping

Plant Fresh and Dry shoot weight - In Heading assays when heading stage has completed (about day 30 from sowing), the plants were harvested and directly weighed for the determination of the plant fresh weight on semi-analytical scales (0.01 gr) (FW) and left to dry at 70° C. in a drying chamber for about 48 hours before weighting to determine plant dry weight (DW).

Time to Heading - In both Seed Maturation and Heading assays heading was defined as the full appearance of the first spikelet in the plant. The time to heading occurrence is defined by the date the heading is completely visible. The time to heading occurrence date was documented for all plants and then the time from planting to heading was calculated.

Leaf thickness - In Heading assays when minimum 5 plants per plot in at least 90% of the plots in an experiment have been documented at heading, measurement of leaf thickness was performed using a micro-meter on the second leaf below the flag leaf.

Plant Height - In both Seed Maturation and Heading assays once heading was completely visible, the height of the first spikelet was measured from soil level to the bottom of the spikelet.

Tillers number - In Heading assays manual count of tillers was preformed per plant after harvest, before weighing.

Example 20

Evaluation of Transgenic Brachypodium Nue and Yield Under Low or Normal Nitrogen Fertilization in Greenhouse Assay

Assay 2: Nitrogen Use efficiency measured plant biomass and yield at limited and optimal nitrogen concentration under greenhouse conditions until Seed Maturation - This assay follows the plant biomass and yield production of plants that were grown in the greenhouse at limiting and non-limiting nitrogen growth conditions. Transgenic Brachypodium seeds were sown in peat plugs. The T₁ transgenic seedlings were then transplanted to 27.8 X 11.8 X 8.5 cm trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing nitrogen limiting conditions, which were achieved by irrigating the plants with a solution containing 3 mM inorganic nitrogen in the form of NH₄NO₃, supplemented with 1 mM KH₂PO₄, 1 mM MgSO₄, 3.6 mM KCl, 2 mM CaCl₂ and microelements, while normal nitrogen levels were achieved by applying a solution of 6 mM inorganic nitrogen also in the form of NH₄NO₃ with 1 mM KH₂PO₄, 1 mM MgSO₄, 2 mM CaCl₂, 3.6 mM KCl and microelements. All plants were grown in the greenhouse until seed maturation. Each construct was validated at its T₁ generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the BASTA selectable marker were used as control (FIG. 9B).

The plants were analyzed for their overall biomass, fresh weight and dry matter, as well as a large number of yield and yield components related parameters. Transgenic plants performance was compared to control plants grown in parallel under the same conditions. Mock- transgenic plants with no gene and no promoter at all (FIG. 9B). The experiment was planned in blocks and nested randomized plot distribution within them. For each gene of the invention five independent transformation events were analyzed from each construct.

Phenotyping

Plant Fresh and Dry vegetative weight - In Seed Maturation assays when maturity stage has completed (about day 80 from sowing), the plants were harvested and directly weighed for the determination of the plant fresh weight (FW) and left to dry at 70° C. in a drying chamber for about 48 hours before weighting to determine plant dry weight (DW).

Spikelets Dry weight (SDW) - In Seed Maturation assays when maturity stage has completed (about day 80 from sowing), the spikelets were separated from the biomass, left to dry at 70° C. in a drying chamber for about 48 hours before weighting to determine spikelets dry weight (SDW).

Grain Yield per Plant - In Seed Maturation assays after drying of spikelets for SDW, spikelets were run through production machine, then through cleaning machine, until seeds were produced per plot, then weighed and Grain Yield per Plant was calculated.

Grain Number - In Seed Maturation assays after seeds per plot were produced and cleaned, the seeds were run through a counting machine and counted.

1000 Seed Weight - In Seed Maturation assays after seed production, a fraction was taken from each sample (seeds per plot; ~0.5 gr), counted and photographed. 1000 seed weight was calculated.

Harvest Index - In Seed Maturation assays after seed production, harvest index was calculated by dividing grain yield and vegetative dry weight.

Time to Heading - In both Seed Maturation and Heading assays heading was defined as the full appearance of the first spikelet in the plant. The time to heading occurrence is defined by the date the heading is completely visible. The time to heading occurrence date was documented for all plants and then the time from planting to heading was calculated.

Leaf thickness - In Heading assays when minimum 5 plants per plot in at least 90% of the plots in an experiment have been documented at heading, measurement of leaf thickness was performed using a micro-meter on the second leaf below the flag leaf.

Grain filling period - In Seed Maturation assays maturation was defined by the first color-break of spikelet + stem on the plant, from green to yellow/brown.

Plant Height - In both Seed Maturation and Heading assays once heading was completely visible, the height of the first spikelet was measured from soil level to the bottom of the spikelet.

Tillers number - In Heading assays manual count of tillers was preformed per plant after harvest, before weighing.

Number of reproductive heads per plant - In Heading assays manual count of heads per plant was performed.

Statistical analyses - To identify genes conferring significantly improved tolerance to abiotic stresses, the results obtained from the transgenic plants were compared to those obtained from control plants. To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. Data was analyzed using Student’s t-test and results were considered significant if the p value was less than 0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, NC, USA).

Although the invention has been described in conjunction with specific embodiments thereof, it is evident that many alternatives, modifications and variations will be apparent to those skilled in the art. Accordingly, it is intended to embrace all such alternatives, modifications and variations that fall within the spirit and broad scope of the appended claims.

It is the intent of the applicant(s) that all publications, patents and patent applications referred to in this specification are to be incorporated in their entirety by reference into the specification, as if each individual publication, patent or patent application was specifically and individually noted when referenced that it is to be incorporated herein by reference. In addition, citation or identification of any reference in this application shall not be construed as an admission that such reference is available as prior art to the present invention. To the extent that section headings are used, they should not be construed as necessarily limiting. In addition, any priority document(s) of this application is/are hereby incorporated herein by reference in its/their entirety.

Claims

1. A method of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or reducing time to flowering or time to inflorescence emergence of a plant, as compared to a control plant of the same species which is grown under the same growth conditions, the method comprising over-expressing within the plant a polypeptide comprising an amino acid sequence as set forth by SEQ ID NO: 778, or an orthologue polypeptide thereof having an amino acid sequence at least 80% identical to SEQ ID NO: 778, wherein said orthologue polypeptide is capable of increasing the nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or reducing the time to flowering or time to inflorescence emergence of the plant.

2. The method of claim 1, further comprising selecting plants over-expressing said polypeptide for an increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant as compared to a control plant of the same species which is grown under the same growth conditions.

3. The method of claim 1, further comprising selecting plants over-expressing said polypeptide for a reduced time to flowering and/or a reduced time to inflorescence emergence of a plant as compared to a control plant of the same species which is grown under the same growth conditions.

4. The method of claim 1, wherein said orthologue polypeptide is at least 95% identical to the polypeptide set forth by SEQ ID NO: 778.

5. The method of claim 1, wherein said polypeptide is selected from the group consisting of SEQ ID NOs: 778, 632 and 4798-4806.

6. The method of claim 1, wherein said polypeptide is expressed from a polynucleotide comprising a nucleic acid sequence at least 80% identical to SEQ ID NO: 418.

7. The method of claim 1, wherein said polypeptide is expressed from a polynucleotide comprising a nucleic acid sequence selected from the group consisting of SEQ ID NOs: 418, 137 and 2840-2848.

8. The method of claim 1, further comprising growing the plant over-expressing said polypeptide under the abiotic stress.

9. The method of claim 1, wherein said abiotic stress is selected from the group consisting of salinity, drought, osmotic stress, water deprivation, flood, etiolation, low temperature, high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency, nitrogen deficiency, nutrient excess, atmospheric pollution and UV irradiation.

10. The method of claim 1, further comprising growing the plant over-expressing said polypeptide under nitrogen-limiting conditions.

11. A method of producing a crop, comprising growing a crop plant over-expressing a polypeptide comprising an amino acid sequence at least 80% identical to the amino acid sequence set forth by SEQ ID NO: 778 as compared to a control plant of the same species which is grown under the same growth conditions, wherein the crop plant is derived from plants selected for increased nitrogen use efficiency, increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased abiotic stress tolerance, reduced time to flowering and/or reduced time to inflorescence emergence as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant has the increased nitrogen use efficiency, increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased abiotic stress tolerance, reduced time to flowering and/or reduced time to inflorescence emergence, thereby producing the crop.

12. The method of claim 11, wherein said polypeptide is expressed from a polynucleotide comprising a nucleic acid sequence which is at least 80% identical to the nucleic acid sequence set forth by SEQ ID NO: 418.

13. A nucleic acid construct comprising an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises an amino acid sequence at least 80% identical to the amino acid sequence set forth in SEQ ID NO: 778, and a heterologous promoter for directing transcription of said nucleic acid sequence in a host cell, wherein said amino acid sequence is capable of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance, and/or reducing time to flowering or to inflorescence emergence of a plant.

14. The nucleic acid construct of claim 13, wherein said polypeptide comprises the amino acid sequence selected from the group consisting of SEQ ID NOs: 778, 632 and 4798-4806.

15. The nucleic acid construct of claim 13, wherein said nucleic acid sequence is selected from the group consisting of SEQ ID NOs: 418, 137 and 2840-2848.

16. A plant cell comprising the nucleic acid construct of claim 13.

17. A transgenic plant comprising the nucleic acid construct of claim 13.

18. A method of growing a crop, the method comprising seeding seeds and/or planting plantlets of a plant transformed with the nucleic acid construct of claim 13, wherein the plant is derived from plants selected for at least one trait selected from the group consisting of: increased nitrogen use efficiency, increased abiotic stress tolerance, increased biomass, increased growth rate, increased vigor, increased yield and increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased oil content, reduced time to flowering and reduced time to inflorescence emergence as compared to a non-transformed plant, thereby growing the crop.

19. A method of selecting a transformed plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance, and/or reducing time to flowering or inflorescence emergence, as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:

(a) providing the transgenic plants of claim 17; and

(b) selecting from said plants a plant having increased nitrogen use efficiency, increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased abiotic stress tolerance, reduced time to flowering and/or reduced time to inflorescence emergence, as compared to wild type plant of the same species which is grown under the same growth conditions.

20. The nucleic acid construct of claim 13, wherein said promoter is a constitutive promoter.