Zymergen Inc.

Patrick J Westfall

Shawn Manchester

Kenneth S Bruno

Shawn Szyjka

Aaron Kimball

Erik Jedediah Dean

Michael Flashman

Barbara Frewen

Katherine Gora

Vytas SunSpiral

Paolo Boccazzi

Kyle Rothschild-Mancinelli

Zach Serber

Erin Shellman

Thomas Treynor

Sean Poust

Sara Da Luz Areosa Cleto

Brian Chaikind

Arthur Muir Fong, Iii

Edyta Szewczyk

Hassan Abdulla

Dylan Vaughan

Jennifer Fredlund

Grayson Wawrzyn

Christine Roche

Warren Lau

Savita Ganesan

Fern R McSorley

Robert Haushalter

Stacy-Anne Morgan

Youngnyun Kim

Michael Blaisse

Matthew Davis

Prabha Ramakrishnan

Christy Wisnewski

A HTP genomic engineering platform for improving filamentous fungal cells that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols is provided. 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. Methods for isolating clonal populations derived from individual fungal spores are also provided.

HTP genomic engineering platform for improving fungal strains

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.

Nepetalactol oxidoreductases, nepetalactol synthases, and microbes capable of producing nepetalactone

HTP genomic engineering platform for improving filamentous fungal cells 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. Methods can be carried out within optofluidic devices.

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Emeryville, CA, United States of America

Patrick J Westfall