Abstract: The disclosure relates to the biosynthesis of terpenoids, such as, for example, geraniol and derivatives thereof, using genetic engineering. In particular, the disclosure relates to the biosynthesis of nepetalactol, nepetalactone, dihydronepetalactone, and derivatives thereof. The disclosure provides recombinant cells genetically engineered to produce high levels of nepetalactol, nepetalactone and/or dihydronepetalactone. The disclosure also provides methods of producing nepetalactol, nepetalactone and dihydronepetalactone using cell-based systems as well as cell-free systems.

Abstract: The present disclosure provides isolated nepetalactone oxidoreductase polypeptides (NORs), nepetalactol synthases (NEPSs), and related polynucleotides, engineered host cells, and cultures, as well as methods for producing NORs and NEPSs, and for using them to produce nepetalactol, nepetalactone, and dihydronepetalactone. The present disclosure also provides methods for engineering cells (e.g., microbial cells) to produce nepetalactone from a fermentation substrate such as glucose, as well as engineered cells having this capability and related cultures and methods for producing nepetalactone.

Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

Abstract: The present disclosure provides machine learning techniques for computationally predicting the phenotypic performance of combinations of genetic variations and for designing new improved host cells. The machine learning models and methods described herein are host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any host cell parameter of interest.

Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

Abstract: The present disclosure provides a HTP genomic engineering platform for improving Escherichia coli. that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition.

Abstract: The present disclosure provides isolated nepetalactone oxidoreductase polypeptides (NORs), nepetalactol synthases (NEPSs), and related polynucleotides, engineered host cells, and cultures, as well as methods for producing NORs and NEPSs, and for using them to produce nepetalactol, nepetalactone, and dihydronepetalactone. The present disclosure also provides methods for engineering cells (e.g., microbial cells) to produce nepetalactone from a fermentation substrate such as glucose, as well as engineered cells having this capability and related cultures and methods for producing nepetalactone.

Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

Abstract: Provided are native promoters comprising polynucleotides isolated from Corynebacterium glutamicum, and mutant promoters derived therefrom, which may be used to regulate, i.e., either increase or decrease, on-pathway and/or off-pathway gene expression. Also provided are promoter ladders comprising a plurality of the promoters having incrementally increasing promoter activity. Also provided are host cells and recombinant vectors comprising the promoters, and methods of expressing ancillary genes of interest and producing biomolecules using the host cells.

Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

Abstract: The present disclosure provides isolated nepetalactone oxidoreductase polypeptides (NORs), nepetalactol synthases (NEPSs), and related polynucleotides, engineered host cells, and cultures, as well as methods for producing NORs and NEPSs, and for using them to produce nepetalactol, nepetalactone, and dihydronepetalactone. The present disclosure also provides methods for engineering cells (e.g., microbial cells) to produce nepetalactone from a fermentation substrate such as glucose, as well as engineered cells having this capability and related cultures and methods for producing nepetalactone.

Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

Abstract: The present disclosure provides isolated nepetalactone oxidoreductase polypeptides (NORs), nepetalactol synthases (NEPSs), and related polynucleotides, engineered host cells, and cultures, as well as methods for producing NORs and NEPSs, and for using them to produce nepetalactol, nepetalactone, and dihydronepetalactone. The present disclosure also provides methods for engineering cells (e.g., microbial cells) to produce nepetalactone from a fermentation substrate such as glucose, as well as engineered cells having this capability and related cultures and methods for producing nepetalactone.

Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.