Literature DB >> 11450111

Flux analysis: a basic tool of microbial physiology.

H Holms1.   

Abstract

Flux analysis (FA) is a means of organizing data to show flux through the central metabolic pathways (CMPs). It quantifies flux from uptake of carbon to the outputs of the CMPs, which are the precursors used for biosynthesis, acetate excretion and CO2. Fluxes to precursors reflect the commands of the genome and acetate excretion balances fluxes to precursor supply when uptake exceeds the capacity of the CMPs to allocate carbon in exactly the correct amount to each precursor. No other products have been detected in 11 phenotypes of Escherichia coli ML308. FA of each of these 11 phenotypes (with some additional variations in culture conditions, some selected mutations and one genetic construct) are shown as flux (mol (kg dry weight biomass)-1 h-1) and are the starting point for further exploration of the physiology of E. coli: FAs suggest the possibility of four strategies to reduce acetate excretion and these have been tested in two of the phenotypes (glucose and pyruvate). All are successful to some degree but results are not always what were expected. FA of such interventions suggest that some 'global' control mechanisms operate in E. coli ML308 independent of carbon source. There is a division in the CMPs between those pathways that use phosphorylated intermediates and those that do not and these, in turn, are divided into the Krebs cycle and the C2 and C3 monocarboxylic acids. Altogether, there are four 'compartments' and each contains intermediates that are also precursors.

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Year:  2001        PMID: 11450111     DOI: 10.1016/s0065-2911(01)45006-5

Source DB:  PubMed          Journal:  Adv Microb Physiol        ISSN: 0065-2911            Impact factor:   3.517


  5 in total

1.  GeneCensus: genome comparisons in terms of metabolic pathway activity and protein family sharing.

Authors:  J Lin; J Qian; D Greenbaum; P Bertone; R Das; N Echols; A Senes; B Stenger; M Gerstein
Journal:  Nucleic Acids Res       Date:  2002-10-15       Impact factor: 16.971

2.  Protein production by Escherichia coli wild-type and DeltaptsG mutant strains with IPTG induction at the onset.

Authors:  A Picon; M J Teixeira de Mattos; P W Postma
Journal:  J Ind Microbiol Biotechnol       Date:  2008-01-08       Impact factor: 3.346

3.  Overflow metabolism in Escherichia coli during steady-state growth: transcriptional regulation and effect of the redox ratio.

Authors:  G N Vemuri; E Altman; D P Sangurdekar; A B Khodursky; M A Eiteman
Journal:  Appl Environ Microbiol       Date:  2006-05       Impact factor: 4.792

4.  Comparison of Mycobacterium tuberculosis isocitrate dehydrogenases (ICD-1 and ICD-2) reveals differences in coenzyme affinity, oligomeric state, pH tolerance and phylogenetic affiliation.

Authors:  Sharmistha Banerjee; Ashok Nandyala; RaviPrasad Podili; Vishwa Mohan Katoch; Seyed E Hasnain
Journal:  BMC Biochem       Date:  2005-09-29       Impact factor: 4.059

5.  Decoding the dynamics of cellular metabolism and the action of 3-bromopyruvate and 2-deoxyglucose using pulsed stable isotope-resolved metabolomics.

Authors:  Matthias Pietzke; Christin Zasada; Susann Mudrich; Stefan Kempa
Journal:  Cancer Metab       Date:  2014-06-30
  5 in total

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