Journal
JOURNAL OF BIOSCIENCE AND BIOENGINEERING
Volume 115, Issue 2, Pages 221-228Publisher
SOC BIOSCIENCE BIOENGINEERING JAPAN
DOI: 10.1016/j.jbiosc.2012.09.004
Keywords
Flux balance analysis; Escherichia coli; 1-Butanol; 1-Propanol; 1,3-Propanediol
Funding
- Japanese Society for the Promotion of Science [24246134, 23680030]
- Grants-in-Aid for Scientific Research [23680030] Funding Source: KAKEN
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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. (C) 2012, The Society for Biotechnology, Japan. All rights reserved.
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