Literature DB >> 18623538

A metabolic network stoichiometry analysis of microbial growth and product formation.

W M van Gulik1, J J Heijnen.   

Abstract

Using available biochemical information, metabolic networks have been constructed to describe the biochemistry of growth of Saccharomyces cerevisiae and Candida utilis on a wide variety of carbon substrates. All networks contained only two fitted parameters, the P/O ratio and a maintenance coefficient. It is shown that with a growth-associated maintenance coefficient, K, of 1.37 mol ATP/ C-mol protein for both yeasts and P/O ratios of 1.20 and 1.53 for S. cerevisiae and C. utilis, respectively, measured biomass yields could be described accurately. A metabolic flux analysis of aerobic growth of S. cerevisiae on glucose/ethanol mixtures predicted five different metabolic flux regimes upon transition from 100% glucose to 100% ethanol. The metabolic network constructed for growth of S. cerevisiae on glucose was applied to perform a theoretical exercise on the overproduction of amino acids. It is shown that theoretical operational product yield values can be substantially lower than calculated maximum product yields. A practical case of lysine production was analyzed with respect to theoretical bottlenecks limiting product formation. Predictions of network-derived irreversibility limits for Y(sp) (mu) functions were compared with literature data. The comparisons show that in real systems such irreversibility constraints may be of relevance. It is concluded that analysis of metabolic network stoichiometry is a useful tool to detect metabolic limits and to guide process intensification studies. (c) 1995 John Wiley & Sons, Inc.

Entities:  

Year:  1995        PMID: 18623538     DOI: 10.1002/bit.260480617

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


  20 in total

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3.  Network identification and flux quantification in the central metabolism of Saccharomyces cerevisiae under different conditions of glucose repression.

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

Authors:  Jignesh H Parmar; Sharad Bhartiya; K V Venkatesh
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7.  Quantitative Physiology of Non-Energy-Limited Retentostat Cultures of Saccharomyces cerevisiae at Near-Zero Specific Growth Rates.

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Journal:  Appl Environ Microbiol       Date:  2019-10-01       Impact factor: 4.792

8.  Expression of phosphofructokinase in Neisseria meningitidis.

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9.  Impact of stoichiometry representation on simulation of genotype-phenotype relationships in metabolic networks.

Authors:  Ana Rita Brochado; Sergej Andrejev; Costas D Maranas; Kiran R Patil
Journal:  PLoS Comput Biol       Date:  2012-11-01       Impact factor: 4.475

10.  Metabolic engineering of the purine biosynthetic pathway in Corynebacterium glutamicum results in increased intracellular pool sizes of IMP and hypoxanthine.

Authors:  Susanne Peifer; Tobias Barduhn; Sarah Zimmet; Dietrich A Volmer; Elmar Heinzle; Konstantin Schneider
Journal:  Microb Cell Fact       Date:  2012-10-24       Impact factor: 5.328

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