Title |
In silico approaches to study mass and energy flows in microbial consortia: a syntrophic case study
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Published in |
BMC Systems Biology, December 2009
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DOI | 10.1186/1752-0509-3-114 |
Pubmed ID | |
Authors |
Reed Taffs, John E Aston, Kristen Brileya, Zackary Jay, Christian G Klatt, Shawn McGlynn, Natasha Mallette, Scott Montross, Robin Gerlach, William P Inskeep, David M Ward, Ross P Carlson |
Abstract |
Three methods were developed for the application of stoichiometry-based network analysis approaches including elementary mode analysis to the study of mass and energy flows in microbial communities. Each has distinct advantages and disadvantages suitable for analyzing systems with different degrees of complexity and a priori knowledge. These approaches were tested and compared using data from the thermophilic, phototrophic mat communities from Octopus and Mushroom Springs in Yellowstone National Park (USA). The models were based on three distinct microbial guilds: oxygenic phototrophs, filamentous anoxygenic phototrophs, and sulfate-reducing bacteria. Two phases, day and night, were modeled to account for differences in the sources of mass and energy and the routes available for their exchange. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 3% |
Portugal | 1 | <1% |
Germany | 1 | <1% |
Chile | 1 | <1% |
France | 1 | <1% |
Austria | 1 | <1% |
Netherlands | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Singapore | 1 | <1% |
Other | 2 | <1% |
Unknown | 219 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 70 | 30% |
Researcher | 56 | 24% |
Professor > Associate Professor | 23 | 10% |
Student > Master | 21 | 9% |
Student > Doctoral Student | 14 | 6% |
Other | 24 | 10% |
Unknown | 29 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 86 | 36% |
Biochemistry, Genetics and Molecular Biology | 39 | 16% |
Engineering | 21 | 9% |
Environmental Science | 12 | 5% |
Chemical Engineering | 10 | 4% |
Other | 32 | 14% |
Unknown | 37 | 16% |