Literature DB >> 17159141

Conservation of the metabolomic response to starvation across two divergent microbes.

Matthew J Brauer1, Jie Yuan, Bryson D Bennett, Wenyun Lu, Elizabeth Kimball, David Botstein, Joshua D Rabinowitz.   

Abstract

We followed 68 cellular metabolites after carbon or nitrogen starvation of Escherichia coli and Saccharomyces cerevisiae, using a filter-culture methodology that allows exponential growth, nondisruptive nutrient removal, and fast quenching of metabolism. Dynamic concentration changes were measured by liquid chromatography-tandem mass spectrometry and viewed in clustered heat-map format. The major metabolic responses anticipated from metabolite-specific experiments in the literature were observed as well as a number of novel responses. When the data were analyzed by singular value decomposition, two dominant characteristic vectors were found, one corresponding to a generic starvation response and another to a nutrient-specific starvation response that is similar in both organisms. Together these captured a remarkable 72% of the metabolite concentration changes in the full data set. The responses described by the generic starvation response vector (42%) included, for example, depletion of most biosynthetic intermediates. The nutrient-specific vector (30%) included key responses such as increased phosphoenolpyruvate signaling glucose deprivation and increased alpha-ketoglutarate signaling ammonia deprivation. Metabolic similarity across organisms extends from the covalent reaction network of metabolism to include many elements of metabolome response to nutrient deprivation as well.

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Year:  2006        PMID: 17159141      PMCID: PMC1697828          DOI: 10.1073/pnas.0609508103

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  33 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-29       Impact factor: 11.205

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Authors:  H Jørgensen; L Olsson; B Rønnow; E A Palmqvist
Journal:  Appl Microbiol Biotechnol       Date:  2002-05-01       Impact factor: 4.813

10.  Genome-scale reconstruction of the Saccharomyces cerevisiae metabolic network.

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Journal:  Genome Res       Date:  2003-02       Impact factor: 9.043

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  107 in total

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Journal:  Genetics       Date:  2020-12       Impact factor: 4.562

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7.  Absolute quantitation of intracellular metabolite concentrations by an isotope ratio-based approach.

Authors:  Bryson D Bennett; Jie Yuan; Elizabeth H Kimball; Joshua D Rabinowitz
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8.  Environmental dependence of stationary-phase metabolism in Bacillus subtilis and Escherichia coli.

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Journal:  Appl Environ Microbiol       Date:  2014-02-28       Impact factor: 4.792

9.  MULTI-WAY BLOCKMODELS FOR ANALYZING COORDINATED HIGH-DIMENSIONAL RESPONSES.

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10.  Metabolomics approach for determining growth-specific metabolites based on Fourier transform ion cyclotron resonance mass spectrometry.

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Journal:  Anal Bioanal Chem       Date:  2008-06-16       Impact factor: 4.142

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