Literature DB >> 15543598

Genetic reconstruction of the aerobic central metabolism in Escherichia coli for the absolute aerobic production of succinate.

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

Abstract

Most reported efforts to enhance production of the industrially valuable specialty chemical succinate have been done under anaerobic conditions, where E. coli undergoes mixed-acid fermentation. These efforts have often been hampered by the limitations of NADH availability, poor cell growth, and slow production. An aerobic succinate production system was strategically designed that allows E. coli to produce and accumulate succinate efficiently and substantially as a product under absolute aerobic conditions. Mutations in the tricarboxylic acid cycle (sdhAB, icd, iclR) and acetate pathways (poxB, ackA-pta) of E. coli were created to construct the glyoxylate cycle for aerobic succinate production. Experiments in flask studies showed that 14.28 mM of succinate could be produced aerobically with a yield of 0.344 mole/mole using 55 mM glucose. In aerobic batch reactor studies, succinate production rate was faster, reaching 0.5 mole/mole in 24 h with a concentration of 22.12 mM; further cultivation showed that succinate production reached 43 mM with a yield of 0.7. There was also substantial pyruvate and TCA cycle C(6) intermediate accumulation in the mutant. The results suggest that more metabolic engineering improvements can be made to this system to make aerobic succinate production more efficient. Nevertheless, this aerobic succinate production system provides the first platform for enhancing succinate production aerobically in E. coli based on the creation of a new aerobic central metabolic network.

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Year:  2005        PMID: 15543598     DOI: 10.1002/bit.20298

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  26 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.  Engineered respiro-fermentative metabolism for the production of biofuels and biochemicals from fatty acid-rich feedstocks.

Authors:  Clementina Dellomonaco; Carlos Rivera; Paul Campbell; Ramon Gonzalez
Journal:  Appl Environ Microbiol       Date:  2010-06-04       Impact factor: 4.792

3.  Optimization of culture conditions in CO2 fixation for succinic acid production using Actinobacillus succinogenes.

Authors:  Yong-lan Xi; Ke-quan Chen; Jian Li; Xiao-jiang Fang; Xiao-yu Zheng; Shan-shan Sui; Min Jiang; Ping Wei
Journal:  J Ind Microbiol Biotechnol       Date:  2011-03-17       Impact factor: 3.346

Review 4.  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

5.  Metabolic transistor strategy for controlling electron transfer chain activity in Escherichia coli.

Authors:  Hui Wu; Leepika Tuli; George N Bennett; Ka-Yiu San
Journal:  Metab Eng       Date:  2015-01-14       Impact factor: 9.783

6.  Synthesis of citramalic acid from glycerol by metabolically engineered Escherichia coli.

Authors:  Xianghao Wu; Mark A Eiteman
Journal:  J Ind Microbiol Biotechnol       Date:  2017-07-25       Impact factor: 3.346

7.  OptFlux: an open-source software platform for in silico metabolic engineering.

Authors:  Isabel Rocha; Paulo Maia; Pedro Evangelista; Paulo Vilaça; Simão Soares; José P Pinto; Jens Nielsen; Kiran R Patil; Eugénio C Ferreira; Miguel Rocha
Journal:  BMC Syst Biol       Date:  2010-04-19

8.  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

9.  pH and base counterion affect succinate production in dual-phase Escherichia coli fermentations.

Authors:  Shiying Lu; Mark A Eiteman; Elliot Altman
Journal:  J Ind Microbiol Biotechnol       Date:  2009-05-30       Impact factor: 3.346

10.  Natural computation meta-heuristics for the in silico optimization of microbial strains.

Authors:  Miguel Rocha; Paulo Maia; Rui Mendes; José P Pinto; Eugénio C Ferreira; Jens Nielsen; Kiran Raosaheb Patil; Isabel Rocha
Journal:  BMC Bioinformatics       Date:  2008-11-27       Impact factor: 3.169

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