scholarly journals Succinic acid production and CO2 consumption in fed-batch culture of a pflB ldhA deficient Escherichia coli strain NZN111

2009 ◽  
Vol 25 ◽  
pp. S230
Author(s):  
H. Wu ◽  
Z. Li ◽  
Q. Ye
Keyword(s):  
Escherichia Coli ◽  
Succinic Acid ◽  
Batch Culture ◽  
Acid Production ◽  
Coli Strain ◽  
Fed Batch ◽  
Co2 Consumption ◽  
Succinic Acid Production ◽  
Fed Batch Culture

Colominic acid production from Escherichia coli in a fed-batch culture under the control of ammonium ions using an FIA system

1997 ◽  
Vol 83 (1) ◽  
pp. 59-63 ◽  
Author(s):  
Hiroyuki Honda ◽  
Takuo Nakazeko ◽  
Koji Ogiso ◽  
Yuji Kawase ◽  
Nobuhiro Aoki ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Batch Culture ◽  
Acid Production ◽  
Ammonium Ions ◽  
Fed Batch ◽  
Colominic Acid ◽  
Fed Batch Culture

scholarly journals Metabolic Engineering of Escherichia coli for Enhanced Production of Succinic Acid, Based on Genome Comparison and In Silico Gene Knockout Simulation

2005 ◽  
Vol 71 (12) ◽  
pp. 7880-7887 ◽  
Author(s):  
Sang Jun Lee ◽  
Dong-Yup Lee ◽  
Tae Yong Kim ◽  
Byung Hun Kim ◽  
Jinwon Lee ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Succinic Acid ◽  
In Silico ◽  
Acid Production ◽  
Gene Knockout ◽  
Fermentation Products ◽  
E Coli ◽  
Metabolic Analysis ◽  
Enhanced Production ◽  
Succinic Acid Production

ABSTRACT Comparative analysis of the genomes of mixed-acid-fermenting Escherichia coli and succinic acid-overproducing Mannheimia succiniciproducens was carried out to identify candidate genes to be manipulated for overproducing succinic acid in E. coli. This resulted in the identification of five genes or operons, including ptsG, pykF, sdhA, mqo, and aceBA, which may drive metabolic fluxes away from succinic acid formation in the central metabolic pathway of E. coli. However, combinatorial disruption of these rationally selected genes did not allow enhanced succinic acid production in E. coli. Therefore, in silico metabolic analysis based on linear programming was carried out to evaluate the correlation between the maximum biomass and succinic acid production for various combinatorial knockout strains. This in silico analysis predicted that disrupting the genes for three pyruvate forming enzymes, ptsG, pykF, and pykA, allows enhanced succinic acid production. Indeed, this triple mutation increased the succinic acid production by more than sevenfold and the ratio of succinic acid to fermentation products by ninefold. It could be concluded that reducing the metabolic flux to pyruvate is crucial to achieve efficient succinic acid production in E. coli. These results suggest that the comparative genome analysis combined with in silico metabolic analysis can be an efficient way of developing strategies for strain improvement.

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