Open AccessExtrapolation of metabolic pathways as an aid to modelling completely sequenced non Saccharomyces yeasts
Author(s) -
Iragne Florian,
Nikolski Macha,
Sherman David
Publication year - 2008
Publication title -
fems yeast research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.991
H-Index - 92
eISSN - 1567-1364
pISSN - 1567-1356
DOI - 10.1111/j.1567-1364.2007.00290.x
Subject(s) - biology , saccharomyces cerevisiae , computational biology , identification (biology) , metabolic pathway , model organism , metabolic network , extrapolation , gene , genetics , ecology , mathematics , mathematical analysis
Mathematical models of biological processes for the model yeast Saccharomyces cerevisiae are the subject of intensive effort and are available in increasing numbers. An open question is whether such models are informative for related yeasts of biotechnological and medical interest that will not themselves benefit from an equivalent effort. In this study, we assess a method for extrapolating reference models to other completely sequenced yeasts, using a combination of graph‐theoretic analysis and reliable identification of homologous genes using Génolevures protein families. In this first assessment, we focus on subtractive modeling, identified through the correlated loss of input and output ports in metabolic pathways. We confirm that the major, highly connected, pathways of central metabolism are conserved and might be universal. In 60–80% of our results, further analysis is not required to determine whether the pathway is lost or conserved, so that our method can be systematically applied as a first step in developing species‐specific models.