Literature DB >> 15961038

Strain improvement by metabolic engineering: lysine production as a case study for systems biology.

Mattheos Koffas1, Gregory Stephanopoulos.   

Abstract

A central goal of systems biology is the elucidation of cell function and physiology through the integrated use of broad based genomic and physiological data. Such systemic approaches have been employed extensively in the past, as they are a central element of metabolic flux analysis, the distribution of kinetic control in pathways, and the key differentiating characteristic of metabolic engineering. In one case study, these tools have been applied to the improvement of lysine-producing strains of Corynebacterium glutamicum. The systematic study of the physiology of this organism allowed the identification of specific metabolic targets and subsequently led to significant improvements in product yield and productivity. This case study can serve as a guide for the development of systems biology tools for the utilization of large volumes of cell- and genome-wide transcriptional and physiological data.

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Year:  2005        PMID: 15961038     DOI: 10.1016/j.copbio.2005.04.010

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  16 in total

1.  Improvement of cell growth and L-lysine production by genetically modified Corynebacterium glutamicum during growth on molasses.

Authors:  Jianzhong Xu; Junlan Zhang; Yanfeng Guo; Yugui Zai; Weiguo Zhang
Journal:  J Ind Microbiol Biotechnol       Date:  2013-09-13       Impact factor: 3.346

Review 2.  Manipulating corynebacteria, from individual genes to chromosomes.

Authors:  Alain A Vertès; Masayuki Inui; Hideaki Yukawa
Journal:  Appl Environ Microbiol       Date:  2005-12       Impact factor: 4.792

3.  Mutagenesis of the bacterial RNA polymerase alpha subunit for improvement of complex phenotypes.

Authors:  Daniel Klein-Marcuschamer; Christine Nicole S Santos; Huimin Yu; Gregory Stephanopoulos
Journal:  Appl Environ Microbiol       Date:  2009-02-27       Impact factor: 4.792

Review 4.  13 C flux analysis of cyanobacterial metabolism.

Authors:  Adeola O Adebiyi; Lara J Jazmin; Jamey D Young
Journal:  Photosynth Res       Date:  2014-10-04       Impact factor: 3.573

5.  Isotopically nonstationary 13C flux analysis of cyanobacterial isobutyraldehyde production.

Authors:  Lara J Jazmin; Yao Xu; Yi Ern Cheah; Adeola O Adebiyi; Carl Hirschie Johnson; Jamey D Young
Journal:  Metab Eng       Date:  2017-05-04       Impact factor: 9.783

6.  Utilizing elementary mode analysis, pathway thermodynamics, and a genetic algorithm for metabolic flux determination and optimal metabolic network design.

Authors:  Brett A Boghigian; Hai Shi; Kyongbum Lee; Blaine A Pfeifer
Journal:  BMC Syst Biol       Date:  2010-04-23

7.  Genome-scale metabolic network analysis of the opportunistic pathogen Pseudomonas aeruginosa PAO1.

Authors:  Matthew A Oberhardt; Jacek Puchałka; Kimberly E Fryer; Vítor A P Martins dos Santos; Jason A Papin
Journal:  J Bacteriol       Date:  2008-01-11       Impact factor: 3.490

8.  Synthetic RNA devices to expedite the evolution of metabolite-producing microbes.

Authors:  Jina Yang; Sang Woo Seo; Sungho Jang; So-I Shin; Chae Hyun Lim; Tae-Young Roh; Gyoo Yeol Jung
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

Review 9.  A review on commercial-scale high-value products that can be produced alongside cellulosic ethanol.

Authors:  Oscar Rosales-Calderon; Valdeir Arantes
Journal:  Biotechnol Biofuels       Date:  2019-10-08       Impact factor: 6.040

10.  A metabolite-centric view on flux distributions in genome-scale metabolic models.

Authors:  S Alexander Riemer; René Rex; Dietmar Schomburg
Journal:  BMC Syst Biol       Date:  2013-04-12
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