LAPSE:2018.0320
Published Article
LAPSE:2018.0320
Genome-Scale In Silico Analysis for Enhanced Production of Succinic Acid in Zymomonas mobilis
Hanifah Widiastuti, Na-Rae Lee, Iftekhar A. Karimi, Dong-Yup Lee
July 31, 2018
Presented herein is a model-driven strategy for characterizing the production capability of expression host and subsequently identifying targets for strain improvement by resorting to network structural comparison with reference strain and in silico analysis of genome-scale metabolic model. The applicability of the strategy was demonstrated by exploring the capability of Zymomonas mobilis, as a succinic acid producer. Initially, the central metabolism of Z. mobilis was compared with reference producer, Mannheimia succiniciproducens, in order to identify gene deletion targets. It was followed by combinatorial gene deletion analysis. Remarkably, resultant in silico strains suggested that knocking out pdc, ldh, and pfl genes encoding pyruvate-consuming reactions as well as the cl gene leads to fifteen-fold increase in succinic acid molar yield. The current exploratory work could be a promising support to wet experiments by providing guidance for metabolic engineering strategies and lowering the number of trials and errors.
Keywords
gene deletion, genome-scale metabolic model, succinic acid, systems biology, Zymomonas mobilis
Subject
Suggested Citation
Widiastuti H, Lee NR, Karimi IA, Lee DY. Genome-Scale In Silico Analysis for Enhanced Production of Succinic Acid in Zymomonas mobilis. (2018). LAPSE:2018.0320
Author Affiliations
Widiastuti H: Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore 117585, Singapore
Lee NR: NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), Life Sciences Institute, National University of Singapore, 28 Medical Drive, Singapore 117456, Singapore
Karimi IA: Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore 117585, Singapore [ORCID]
Lee DY: Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore 117585, Singapore; NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), Life Sciences Institute, National Universi
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Journal Name
Processes
Volume
6
Issue
4
Article Number
E30
Year
2018
Publication Date
2018-04-01
Published Version
ISSN
2227-9717
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PII: pr6040030, Publication Type: Journal Article
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LAPSE:2018.0320
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doi:10.3390/pr6040030
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Jul 31, 2018
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CC BY 4.0
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