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A metabolic network stoichiometry analysis of microbial growth and product formation
Author(s) -
van Gulik W. M.,
Heijnen J. J.
Publication year - 1995
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/bit.260480617
Subject(s) - metabolic flux analysis , metabolic network , flux balance analysis , yield (engineering) , flux (metallurgy) , saccharomyces cerevisiae , stoichiometry , biomass (ecology) , biochemistry , lysine , limiting , product (mathematics) , chemistry , metabolism , biology , amino acid , yeast , thermodynamics , mathematics , organic chemistry , physics , ecology , mechanical engineering , engineering , geometry
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 (μ) 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. © 1995 John Wiley & Sons, Inc.

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