Literature DB >> 18424547

Minimal Escherichia coli cell for the most efficient production of ethanol from hexoses and pentoses.

Cong T Trinh1, Pornkamol Unrean, Friedrich Srienc.   

Abstract

To obtain an efficient ethanologenic Escherichia coli strain, we reduced the functional space of the central metabolic network, with eight gene knockout mutations, from over 15,000 pathway possibilities to 6 pathway options that support cell function. The remaining pathways, identified by elementary mode analysis, consist of four pathways with non-growth-associated conversion of pentoses and hexoses into ethanol at theoretical yields and two pathways with tight coupling of anaerobic cell growth with ethanol formation at high yields. Elimination of three additional genes resulted in a strain that selectively grows only on pentoses, even in the presence of glucose, with a high ethanol yield. We showed that the ethanol yields of strains with minimized metabolic functionality closely matched the theoretical predictions. Remarkably, catabolite repression was completely absent during anaerobic growth, resulting in the simultaneous utilization of pentoses and hexoses for ethanol production.

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Year:  2008        PMID: 18424547      PMCID: PMC2446564          DOI: 10.1128/AEM.02708-07

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  41 in total

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2.  Metabolic network structure determines key aspects of functionality and regulation.

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Journal:  Nature       Date:  2002-11-14       Impact factor: 49.962

3.  Inhibitory effect of glucose on enzyme formation.

Authors:  B MAGASANIK; F C NEIDHARDT
Journal:  Nature       Date:  1956-10-13       Impact factor: 49.962

4.  Global transposon mutagenesis and a minimal Mycoplasma genome.

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Journal:  Science       Date:  1999-12-10       Impact factor: 47.728

5.  Expression of Different Levels of Ethanologenic Enzymes from Zymomonas mobilis in Recombinant Strains of Escherichia coli.

Authors:  L O Ingram; T Conway
Journal:  Appl Environ Microbiol       Date:  1988-02       Impact factor: 4.792

6.  Genetically engineered Saccharomyces yeast capable of effective cofermentation of glucose and xylose.

Authors:  N W Ho; Z Chen; A P Brainard
Journal:  Appl Environ Microbiol       Date:  1998-05       Impact factor: 4.792

7.  Design, construction and performance of the most efficient biomass producing E. coli bacterium.

Authors:  Cong T Trinh; Ross Carlson; Aaron Wlaschin; Friedrich Srienc
Journal:  Metab Eng       Date:  2006-08-15       Impact factor: 9.783

8.  Use of catabolite repression mutants for fermentation of sugar mixtures to ethanol.

Authors:  N N Nichols; B S Dien; R J Bothast
Journal:  Appl Microbiol Biotechnol       Date:  2001-07       Impact factor: 4.813

9.  EcoCyc: a comprehensive database resource for Escherichia coli.

Authors:  Ingrid M Keseler; Julio Collado-Vides; Socorro Gama-Castro; John Ingraham; Suzanne Paley; Ian T Paulsen; Martín Peralta-Gil; Peter D Karp
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

10.  Reaction routes in biochemical reaction systems: algebraic properties, validated calculation procedure and example from nucleotide metabolism.

Authors:  S Schuster; C Hilgetag; J H Woods; D A Fell
Journal:  J Math Biol       Date:  2002-08       Impact factor: 2.259

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  75 in total

1.  Activating and Elucidating Metabolism of Complex Sugars in Yarrowia lipolytica.

Authors:  Seunghyun Ryu; Julie Hipp; Cong T Trinh
Journal:  Appl Environ Microbiol       Date:  2015-12-18       Impact factor: 4.792

2.  On algebraic properties of extreme pathways in metabolic networks.

Authors:  Dimitrije Jevremovic; Cong T Trinh; Friedrich Srienc; Daniel Boley
Journal:  J Comput Biol       Date:  2010-02       Impact factor: 1.479

3.  Synthetic Escherichia coli consortia engineered for syntrophy demonstrate enhanced biomass productivity.

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Journal:  J Biotechnol       Date:  2011-10-12       Impact factor: 3.307

Review 4.  Recent advances in elementary flux modes and yield space analysis as useful tools in metabolic network studies.

Authors:  Predrag Horvat; Martin Koller; Gerhart Braunegg
Journal:  World J Microbiol Biotechnol       Date:  2015-06-12       Impact factor: 3.312

5.  Model-based biotechnological potential analysis of Kluyveromyces marxianus central metabolism.

Authors:  A Pentjuss; E Stalidzans; J Liepins; A Kokina; J Martynova; P Zikmanis; I Mozga; R Scherbaka; H Hartman; M G Poolman; D A Fell; A Vigants
Journal:  J Ind Microbiol Biotechnol       Date:  2017-04-25       Impact factor: 3.346

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.  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

8.  Reduced evolvability of Escherichia coli MDS42, an IS-less cellular chassis for molecular and synthetic biology applications.

Authors:  Kinga Umenhoffer; Tamás Fehér; Gabriella Balikó; Ferhan Ayaydin; János Pósfai; Frederick R Blattner; György Pósfai
Journal:  Microb Cell Fact       Date:  2010-05-21       Impact factor: 5.328

9.  Rational design and construction of an efficient E. coli for production of diapolycopendioic acid.

Authors:  Pornkamol Unrean; Cong T Trinh; Friedrich Srienc
Journal:  Metab Eng       Date:  2009-11-26       Impact factor: 9.783

10.  Flux Design: In silico design of cell factories based on correlation of pathway fluxes to desired properties.

Authors:  Guido Melzer; Manely Eslahpazir Esfandabadi; Ezequiel Franco-Lara; Christoph Wittmann
Journal:  BMC Syst Biol       Date:  2009-12-25
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