Literature DB >> 12009796

A general method for determining the contribution of split pathways in metabolite production in the yeast Saccharomyces cerevisiae.

Yakov Woldman1, Dean R Appling.   

Abstract

We describe a simple method using (13)C labeling and NMR spectroscopy to determine the flux contributions of alternative pathways in Saccharomyces cerevisiae that produce the same metabolite with identical labeling patterns. Cells were incubated with a (13)C-labeled precursor for one of the branches, and the absolute enrichment of the product and its metabolic precursor(s) was quantified. The ratio of the absolute enrichment of the product to that of its precursor reflects the contribution of the pathway. The method was applied to the biosynthesis of glycine in yeast, which can occur from threonine via threonine aldolase or from serine via serine hydroxymethyltransferase. [2-(13)C]Aspartate and [2-(13)C]serine were used as labeled precursors for the threonine aldolase and serine hydroxymethyltransferase pathways, respectively. The data show that in cells possessing both pathways, the serine hydroxymethyltransferase pathway contributes 65-75% of the total glycine production. In comparison with other approaches, this method provides an inexpensive, flexible alternative to determining the flux contributions of split pathways under controlled conditions and should have wide applicability in the metabolic engineering of microorganisms.

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Year:  2002        PMID: 12009796     DOI: 10.1006/mben.2001.0221

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  3 in total

1.  Metabolic-flux profiling of the yeasts Saccharomyces cerevisiae and Pichia stipitis.

Authors:  Jocelyne Fiaux; Z Petek Cakar; Marco Sonderegger; Kurt Wüthrich; Thomas Szyperski; Uwe Sauer
Journal:  Eukaryot Cell       Date:  2003-02

2.  Genome sequence of the corn leaf aphid (Rhopalosiphum maidis Fitch).

Authors:  Wenbo Chen; Sara Shakir; Mahdiyeh Bigham; Annett Richter; Zhangjun Fei; Georg Jander
Journal:  Gigascience       Date:  2019-04-01       Impact factor: 6.524

3.  Metabolomic Profiles of Aspergillus oryzae and Bacillus amyloliquefaciens During Rice Koji Fermentation.

Authors:  Da Eun Lee; Sunmin Lee; Eun Seok Jang; Hye Won Shin; Byoung Seok Moon; Choong Hwan Lee
Journal:  Molecules       Date:  2016-06-14       Impact factor: 4.411

  3 in total

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