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PMID: 18249414 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Is maximization of molar yield in metabolic networks favoured by evolution?

Journal of theoretical biology ·Vol. 252 ·No. 3 ·2008-06-07 ·Pages 497-504

Schuster S, Pfeiffer T, Fell DA

Abstract

Stoichiometric analysis of metabolic networks allows the calculation of possible metabolic flux distributions in the absence of kinetic data. In order to predict which of the possible fluxes are present under certain conditions, additional constraints and optimization principles can be applied. One approach of calculating unknown fluxes (frequently called flux balance analysis) is based on the optimality principle of maximizing the molar yield of biotransformations. Here, the relevance and applicability of that approach are examined, and it is compared with the principle of maximizing pathway flux. We discuss diverse experimental evidence showing that, often, those biochemical pathways are operative that allow fast but low-yield synthesis of important products, such as fermentation in Saccharomyces cerevisiae and several other yeast species. Together with arguments based on evolutionary game theory, this leads us to the conclusion that maximization of molar yield is by no means a universal principle.

MeSH Terms
Animals Evolution, Molecular Fermentation Game Theory Metabolic Networks and Pathways/genetics,physiology Models, Biological Saccharomyces cerevisiae/metabolism Systems Biology/methods
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Schuster Stefan
Section of Bioinformatics, Faculty of Biology and Pharmaceutics, Friedrich Schiller University Jena, Ernst-Abbe-Platz 2, D-07743 Jena, Germany. [email protected]
Pfeiffer Thomas
Fell David A
Article Info
Journal
Journal of theoretical biology
Abbr.
J Theor Biol
ISSN
1095-8541
Published
2008-06-07
Epub
2007-00-23
Pages
497-504
Language
English
Region
England
NLM ID
0376342
Subset
IM
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