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Metabolic-network-driven analysis of bacterial ecological strategies |
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| Authors: | Shiri Freilich Anat Kreimer Elhanan Borenstein Nir Yosef Roded Sharan Uri Gophna Eytan Ruppin |
| Institution: | (1) The Blavatnik School of Computer Sciences, Tel Aviv University, Ramat Aviv, Tel Aviv, 69978, Israel;(2) School of Medicine, Tel Aviv University, Ramat Aviv, Tel Aviv, 69978, Israel;(3) School of Mathematical Science, Tel Aviv University, Ramat Aviv, Tel Aviv, 69978, Israel;(4) Department of Biological Sciences, Stanford University, Stanford, CA 94305-5020, USA;(5) Santa Fe Institute, Santa Fe, NM 87501, USA;(6) Department of Molecular Microbiology and Biotechnology, Faculty of Life Sciences, Tel Aviv University, Ramat Aviv, Tel Aviv, 69978, Israel |
| Abstract: | BackgroundThe growth-rate of an organism is an important phenotypic trait, directly affecting its ability to survive in a given environment. Here we present the first large scale computational study of the association between ecological strategies and growth rate across 113 bacterial species, occupying a variety of metabolic habitats. Genomic data are used to reconstruct the species' metabolic networks and habitable metabolic environments. These reconstructions are then used to investigate the typical ecological strategies taken by organisms in terms of two basic species-specific measures: metabolic variability - the ability of a species to survive in a variety of different environments; and co-habitation score vector - the distribution of other species that co-inhabit each environment. |
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