Literature DB >> 15781420

Metabolic engineering of aerobic succinate production systems in Escherichia coli to improve process productivity and achieve the maximum theoretical succinate yield.

Henry Lin1, George N Bennett, Ka-Yiu San.   

Abstract

The potential to produce succinate aerobically in Escherichia coli would offer great advantages over anaerobic fermentation in terms of faster biomass generation, carbon throughput, and product formation. Genetic manipulations were performed on two aerobic succinate production systems to increase their succinate yield and productivity. One of the aerobic succinate production systems developed earlier (Biotechnol, Bioeng., 2004, accepted) was constructed with five mutations (DeltasdhAB, Deltaicd, DeltaiclR, DeltapoxB, and Delta(ackA-pta)), which created a highly active glyoxylate cycle. In this study, a second production system was constructed with four of the five above mutations (DeltasdhAB, DeltaiclR, DeltapoxB, and Delta(ackA-pta)). This system has two routes in the aerobic central metabolism for succinate production. One is the glyoxylate cycle and the other is the oxidative branch of the TCA cycle. Inactivation of ptsG and overexpression of a mutant Sorghum pepc in these two production systems showed that the maximum theoretical succinate yield of 1.0 mol/mol glucose consumed could be achieved. Furthermore, the two-route production system with ptsG inactivation and pepc overexpression demonstrated substantially higher succinate productivity than the previous system, a level unsurpassed for aerobic succinate production. This optimized system showed remarkable potential for large-scale aerobic succinate production and process optimization.

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Year:  2005        PMID: 15781420     DOI: 10.1016/j.ymben.2004.10.003

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  42 in total

Review 1.  Succinate production in Escherichia coli.

Authors:  Chandresh Thakker; Irene Martínez; Ka-Yiu San; George N Bennett
Journal:  Biotechnol J       Date:  2011-09-20       Impact factor: 4.677

2.  O-Succinyl-L-homoserine-based C4-chemical production: succinic acid, homoserine lactone, γ-butyrolactone, γ-butyrolactone derivatives, and 1,4-butanediol.

Authors:  Kuk-Ki Hong; Jeong Hyun Kim; Jong Hyun Yoon; Hye-Min Park; Su Jin Choi; Gyu Hyeon Song; Jea Chun Lee; Young-Lyeol Yang; Hyun Kwan Shin; Ju Nam Kim; Kyung Ho Cho; Jung Ho Lee
Journal:  J Ind Microbiol Biotechnol       Date:  2014-08-26       Impact factor: 3.346

3.  L-malate production by metabolically engineered Escherichia coli.

Authors:  X Zhang; X Wang; K T Shanmugam; L O Ingram
Journal:  Appl Environ Microbiol       Date:  2010-11-19       Impact factor: 4.792

4.  High-throughput workflow for monitoring and mining bioprocess data and its application to inferring the physiological response of Escherichia coli to perturbations.

Authors:  Stéphanie Heux; Benjamin Philippe; Jean-Charles Portais
Journal:  Appl Environ Microbiol       Date:  2011-08-12       Impact factor: 4.792

5.  Metabolic Engineering of Actinobacillus succinogenes Provides Insights into Succinic Acid Biosynthesis.

Authors:  Michael T Guarnieri; Yat-Chen Chou; Davinia Salvachúa; Ali Mohagheghi; Peter C St John; Darren J Peterson; Yannick J Bomble; Gregg T Beckham
Journal:  Appl Environ Microbiol       Date:  2017-08-17       Impact factor: 4.792

6.  A synthetic recursive "+1" pathway for carbon chain elongation.

Authors:  Ryan J Marcheschi; Han Li; Kechun Zhang; Elizabeth L Noey; Seonah Kim; Asha Chaubey; K N Houk; James C Liao
Journal:  ACS Chem Biol       Date:  2012-02-03       Impact factor: 5.100

7.  Metabolic engineering of Escherichia coli for enhanced production of succinic acid, based on genome comparison and in silico gene knockout simulation.

Authors:  Sang Jun Lee; Dong-Yup Lee; Tae Yong Kim; Byung Hun Kim; Jinwon Lee; Sang Yup Lee
Journal:  Appl Environ Microbiol       Date:  2005-12       Impact factor: 4.792

Review 8.  Metabolically engineered Escherichia coli for biotechnological production of four-carbon 1,4-dicarboxylic acids.

Authors:  Yujin Cao; Yugang Cao; Xiangzhi Lin
Journal:  J Ind Microbiol Biotechnol       Date:  2010-11-27       Impact factor: 3.346

9.  OptForce: an optimization procedure for identifying all genetic manipulations leading to targeted overproductions.

Authors:  Sridhar Ranganathan; Patrick F Suthers; Costas D Maranas
Journal:  PLoS Comput Biol       Date:  2010-04-15       Impact factor: 4.475

Review 10.  Minimizing acetate formation in E. coli fermentations.

Authors:  Marjan De Mey; Sofie De Maeseneire; Wim Soetaert; Erick Vandamme
Journal:  J Ind Microbiol Biotechnol       Date:  2007-08-01       Impact factor: 3.346

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