Literature DB >> 14705007

Fundamental Escherichia coli biochemical pathways for biomass and energy production: identification of reactions.

Ross Carlson1, Friedrich Srienc.   

Abstract

Cells grow by oxidizing nutrients using a complex network of biochemical reactions. During this process new biological material is produced along with energy used for maintaining cellular organization. Because the metabolic network is highly branched, these tasks can be accomplished using a wide variety of unique reaction sequences. However, evolutionary pressures under carbon-limited growth conditions likely select organisms that utilize highly efficient pathways. Using elementary-mode analysis, we demonstrate that the metabolism of the bacterium Escherichia coli contains four unique pathways that most efficiently convert glucose and oxygen into new cells and maintenance energy under any level of oxygen limitation. Observed regulatory patterns and experimental findings suggest growing cells use these highly efficient pathways. It is predicted that five knockout mutations generate a strain that supports growth using only the most efficient reaction sequence. The analysis approach should be generally useful for predicting metabolic capabilities and efficient network designs based on only genomic information. Copyright 2003 Wiley Periodicals, Inc.

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Year:  2004        PMID: 14705007     DOI: 10.1002/bit.10812

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


  26 in total

Review 1.  Pseudomonad reverse carbon catabolite repression, interspecies metabolite exchange, and consortial division of labor.

Authors:  Heejoon Park; S Lee McGill; Adrienne D Arnold; Ross P Carlson
Journal:  Cell Mol Life Sci       Date:  2019-11-25       Impact factor: 9.261

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

Review 3.  Metabolic engineering in the -omics era: elucidating and modulating regulatory networks.

Authors:  Goutham N Vemuri; Aristos A Aristidou
Journal:  Microbiol Mol Biol Rev       Date:  2005-06       Impact factor: 11.056

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

Authors:  Cong T Trinh; Pornkamol Unrean; Friedrich Srienc
Journal:  Appl Environ Microbiol       Date:  2008-04-18       Impact factor: 4.792

Review 5.  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

Review 6.  Constraint-based models predict metabolic and associated cellular functions.

Authors:  Aarash Bordbar; Jonathan M Monk; Zachary A King; Bernhard O Palsson
Journal:  Nat Rev Genet       Date:  2014-01-16       Impact factor: 53.242

7.  Metabolic networks evolve towards states of maximum entropy production.

Authors:  Pornkamol Unrean; Friedrich Srienc
Journal:  Metab Eng       Date:  2011-09-01       Impact factor: 9.783

8.  Quantification of metabolism in Saccharomyces cerevisiae under hyperosmotic conditions using elementary mode analysis.

Authors:  Jignesh H Parmar; Sharad Bhartiya; K V Venkatesh
Journal:  J Ind Microbiol Biotechnol       Date:  2012-02-22       Impact factor: 3.346

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

Review 10.  Elementary mode analysis: a useful metabolic pathway analysis tool for characterizing cellular metabolism.

Authors:  Cong T Trinh; Aaron Wlaschin; Friedrich Srienc
Journal:  Appl Microbiol Biotechnol       Date:  2008-11-15       Impact factor: 4.813

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