Literature DB >> 20863289

Why does yeast ferment? A flux balance analysis study.

Evangelos Simeonidis1, Ettore Murabito, Kieran Smallbone, Hans V Westerhoff.   

Abstract

Advances in biological techniques have led to the availability of genome-scale metabolic reconstructions for yeast. The size and complexity of such networks impose limits on what types of analyses one can perform. Constraint-based modelling overcomes some of these restrictions by using physicochemical constraints to describe the potential behaviour of an organism. FBA (flux balance analysis) highlights flux patterns through a network that serves to achieve a particular objective and requires a minimal amount of data to make quantitative inferences about network behaviour. Even though FBA is a powerful tool for system predictions, its general formulation sometimes results in unrealistic flux patterns. A typical example is fermentation in yeast: ethanol is produced during aerobic growth in excess glucose, but this pattern is not present in a typical FBA solution. In the present paper, we examine the issue of yeast fermentation against respiration during growth. We have studied a number of hypotheses from the modelling perspective, and novel formulations of the FBA approach have been tested. By making the observation that more respiration requires the synthesis of more mitochondria, an energy cost related to mitochondrial synthesis is added to the FBA formulation. Results, although still approximate, are closer to experimental observations than earlier FBA analyses, at least on the issue of fermentation.

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Year:  2010        PMID: 20863289     DOI: 10.1042/BST0381225

Source DB:  PubMed          Journal:  Biochem Soc Trans        ISSN: 0300-5127            Impact factor:   5.407


  8 in total

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2.  Comparative Analysis of Yeast Metabolic Network Models Highlights Progress, Opportunities for Metabolic Reconstruction.

Authors:  Benjamin D Heavner; Nathan D Price
Journal:  PLoS Comput Biol       Date:  2015-11-13       Impact factor: 4.475

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Journal:  Electrophoresis       Date:  2012-11-08       Impact factor: 3.535

Review 4.  Synthetic biology and regulatory networks: where metabolic systems biology meets control engineering.

Authors:  Fei He; Ettore Murabito; Hans V Westerhoff
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Review 5.  Computational strategies for a system-level understanding of metabolism.

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Journal:  Metabolites       Date:  2014-11-24

6.  A mathematical framework for yield (vs. rate) optimization in constraint-based modeling and applications in metabolic engineering.

Authors:  Steffen Klamt; Stefan Müller; Georg Regensburger; Jürgen Zanghellini
Journal:  Metab Eng       Date:  2018-02-07       Impact factor: 9.783

7.  A pyruvate carbon flux tugging strategy for increasing 2,3-butanediol production and reducing ethanol subgeneration in the yeast Saccharomyces cerevisiae.

Authors:  Jun Ishii; Keisuke Morita; Kengo Ida; Hiroko Kato; Shohei Kinoshita; Shoko Hataya; Hiroshi Shimizu; Akihiko Kondo; Fumio Matsuda
Journal:  Biotechnol Biofuels       Date:  2018-06-26       Impact factor: 6.040

Review 8.  Nitrogen assimilation in Escherichia coli: putting molecular data into a systems perspective.

Authors:  Wally C van Heeswijk; Hans V Westerhoff; Fred C Boogerd
Journal:  Microbiol Mol Biol Rev       Date:  2013-12       Impact factor: 11.056

  8 in total

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