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Open Access Highly Accessed Research article

Environmental versatility promotes modularity in genome-scale metabolic networks

Areejit Samal12, Andreas Wagner345* and Olivier C Martin16*

Author Affiliations

1 Laboratoire de Physique Théorique et Modèles Statistiques, CNRS and Univ Paris-Sud, UMR 8626, F-91405 Orsay Cedex, France

2 Max Planck Institute for Mathematics in the Sciences, Inselstr. 22, 04103 Leipzig, Germany

3 Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland

4 Swiss Institute of Bioinformatics, Quartier Sorge, Batiment Genopode, 1015 Lausanne, Switzerland

5 The Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA

6 INRA, UMR 0320/UMR 8120 Génétique Végétale, Univ Paris-Sud, F-91190 Gif-sur-Yvette, France

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BMC Systems Biology 2011, 5:135  doi:10.1186/1752-0509-5-135

Published: 24 August 2011

Additional files

Additional file 1:

Figures S1 to S7. This file contains the following additional figures: Figure S1 - MCMC sampling of genotypes with a given phenotype; Figure S2 - a FCS predominantly consists of a reactions belonging to one biochemical pathway; Figure S3 -Example of a frequently arising FCS in sampled genotypes; Figure S4 - Environmental versatility enhances the modularity index M regardless of the value of n; Figure S5 -Environmental versatility enhances the number of modules s regardless of the value of n; Figure S6 - Example of FCSs that account for the increase in modularity with versatility; Figure S7 - Schematic diagram describing nested sets of environments used to sample genotypes with decreasing Venv.

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Additional file 2:

Tables S1 and S2. This file contains the following additional tables: Table S1 - The list of 89 minimal environments; Table S2 - The list of autocatalytic metabolites.

Format: XLS Size: 28KB Download file

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