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In silico screening of triple reaction knockout Escherichia coli strains for overproduction of useful metabolites

Paper ID Volume ID Publish Year Pages File Format Full-Text
20840 43193 2013 8 PDF Available
Title
In silico screening of triple reaction knockout Escherichia coli strains for overproduction of useful metabolites
Abstract

For efficient production of industrially useful metabolites by microorganisms, it is important to design metabolic networks suitable for production. For this purpose, constraint-based metabolic flux simulation is a powerful tool to predict the effect of reaction knockouts on target productivity. In this study, using constraint-based metabolic simulation, in silico screening was performed to identify knockout candidate sets that increase the productivity of 1-butanol, 1-propanol, and 1,3-propanediol by engineered Escherichia coli. Metabolic changes caused by all possible sets of triple reaction knockouts were evaluated using a reduced metabolic model, which was constructed to significantly reduce the computational cost. The results demonstrated the strategies to improve target productivity by gene disruption; some of them could not be achieved by previous screening methods. Such knockout strategies can support further improvements of the target productivity.

Keywords
Flux balance analysis; Escherichia coli; 1-Butanol; 1-Propanol; 1,3-Propanediol
First Page Preview
In silico screening of triple reaction knockout Escherichia coli strains for overproduction of useful metabolites
Publisher
Database: Elsevier - ScienceDirect
Journal: Journal of Bioscience and Bioengineering - Volume 115, Issue 2, February 2013, Pages 221–228
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering