Literature DB >> 15256213

Stoichiometric network constraints on xylose metabolism by recombinant Saccharomyces cerevisiae.

Yong-Su Jin1, Thomas W Jeffries.   

Abstract

Metabolic pathway engineering is constrained by the thermodynamic and stoichiometric feasibility of enzymatic activities of introduced genes. Engineering of xylose metabolism in Saccharomyces cerevisiae has focused on introducing genes for the initial xylose assimilation steps from Pichia stipitis, a xylose-fermenting yeast, into S. cerevisiae, a yeast traditionally used in ethanol production from hexose. However, recombinant S. cerevisiae created in several laboratories have used xylose oxidatively rather than in the fermentative manner that this yeast metabolizes glucose. To understand the differences between glucose and engineered xylose metabolic networks, we performed a flux balance analysis (FBA) and calculated extreme pathways using a stoichiometric model that describes the biochemistry of yeast cell growth. FBA predicted that the ethanol yield from xylose exhibits a maximum under oxygen-limited conditions, and a fermentation experiment confirmed this finding. Fermentation results were largely consistent with in silico phenotypes based on calculated extreme pathways, which displayed several phases of metabolic phenotype with respect to oxygen availability from anaerobic to aerobic conditions. However, in contrast to the model prediction, xylitol production continued even after the optimum aeration level for ethanol production was attained. These results suggest that oxygen (or some other electron accepting system) is required to resolve the redox imbalance caused by cofactor difference between xylose reductase and xylitol dehydrogenase, and that other factors limit glycolytic flux when xylose is the sole carbon source.

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Year:  2004        PMID: 15256213     DOI: 10.1016/j.ymben.2003.11.006

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


  21 in total

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5.  Herbaspirillum seropedicae expresses non-phosphorylative pathways for D-xylose catabolism.

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Journal:  Appl Microbiol Biotechnol       Date:  2021-09-09       Impact factor: 5.560

6.  Shuffling of promoters for multiple genes to optimize xylose fermentation in an engineered Saccharomyces cerevisiae strain.

Authors:  Chenfeng Lu; Thomas Jeffries
Journal:  Appl Environ Microbiol       Date:  2007-08-10       Impact factor: 4.792

7.  Investigating host dependence of xylose utilization in recombinant Saccharomyces cerevisiae strains using RNA-seq analysis.

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Journal:  Biotechnol Biofuels       Date:  2013-07-06       Impact factor: 6.040

8.  Validation of a constraint-based model of Pichia pastoris metabolism under data scarcity.

Authors:  Marta Tortajada; Francisco Llaneras; Jesús Picó
Journal:  BMC Syst Biol       Date:  2010-08-17

9.  MetRxn: a knowledgebase of metabolites and reactions spanning metabolic models and databases.

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10.  iBsu1103: a new genome-scale metabolic model of Bacillus subtilis based on SEED annotations.

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Journal:  Genome Biol       Date:  2009-06-25       Impact factor: 13.583

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