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Model-guided biofuel production enhancement of metabolically engineered E. coli.


EMSL Project ID
47986

Abstract

At the Joint BioEnergy Institute (JBEI) we have been able to metabolically engineer E. coli and S. cerevisiae strains that produce biofuel molecules such as bisabolene or fatty acid ethyl esters. In spite of these successes, metabolic engineering is a slow process currently driven by a iterative trial-and-error approach rather than a robust, quantitative understanding of pathway function. In order to change this situation, we propose to create a predictive model based on multiple omics data (transcriptomics, proteomics, metabolomics) that would be able to successfully drive the process of metabolic engineering. We will start by calibrating existing algorithms and we will combine the most successful to create a model able to direct metabolic engineering endeavours. We will then use this model to suggest genetic manipulations to improve the production levels of various biofuel producing strains created at JBEI.

Project Details

Project type
Large-Scale EMSL Research
Start Date
2013-10-01
End Date
2016-09-30
Status
Closed

Team

Principal Investigator

Hector Garcia Martin
Institution
Lawrence Berkeley National Laboratory

Co-Investigator(s)

Taek Soon Lee
Institution
Lawrence Berkeley National Laboratory

Team Members

Xing Zhang
Institution
Pacific Northwest National Laboratory