Title |
Metabolic-network-driven analysis of bacterial ecological strategies
|
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Published in |
Genome Biology, June 2009
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DOI | 10.1186/gb-2009-10-6-r61 |
Pubmed ID | |
Authors |
Shiri Freilich, Anat Kreimer, Elhanan Borenstein, Nir Yosef, Roded Sharan, Uri Gophna, Eytan Ruppin |
Abstract |
The 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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Japan | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 19 | 7% |
United Kingdom | 2 | <1% |
Iran, Islamic Republic of | 2 | <1% |
France | 1 | <1% |
Italy | 1 | <1% |
Cuba | 1 | <1% |
Sweden | 1 | <1% |
South Africa | 1 | <1% |
Germany | 1 | <1% |
Other | 8 | 3% |
Unknown | 229 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 70 | 26% |
Researcher | 65 | 24% |
Student > Master | 21 | 8% |
Student > Doctoral Student | 20 | 8% |
Student > Bachelor | 16 | 6% |
Other | 48 | 18% |
Unknown | 26 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 130 | 49% |
Biochemistry, Genetics and Molecular Biology | 31 | 12% |
Environmental Science | 17 | 6% |
Computer Science | 14 | 5% |
Engineering | 7 | 3% |
Other | 28 | 11% |
Unknown | 39 | 15% |