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Challenges in microbial ecology : building predictive understanding of community function and dynamics
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(2016) Challenges in microbial ecology : building predictive understanding of community function and dynamics. The ISME Journal, 2016 (10). pp. 2557-2568. doi:10.1038/ismej.2016.45 ISSN 1751-7362.
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Official URL: http://dx.doi.org/10.1038/ismej.2016.45
Abstract
The importance of microbial communities (MCs) cannot be overstated. MCs underpin the biogeochemical cycles of the earth’s soil, oceans, and the atmosphere, and perform ecosystem functions that impact plants, animals, and humans. Yet our ability to predict and manage the function of these highly complex, dynamically changing communities is limited. Building predictive models that link MC community composition to function is a key emerging challenge in microbial ecology. Here, we argue that addressing this challenge requires close coordination of experimental data collection and method development with mathematical model building. We discuss specific examples where model-experiment integration has already resulted in important insights into MC function and structure. We also highlight key research questions which still demand better integration of experiments and models. We argue that such integration is needed to achieve significant progress in our understanding of MC dynamics and function, and we make specific practical suggestions as to how this could be achieved.
| Item Type: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics Q Science > QR Microbiology |
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| Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) | ||||||||
| Library of Congress Subject Headings (LCSH): | Microbial ecology -- Mathematical models, Bacteria -- Ecology -- Mathematical models | ||||||||
| Journal or Publication Title: | The ISME Journal | ||||||||
| Publisher: | Nature Publishing Group | ||||||||
| ISSN: | 1751-7362 | ||||||||
| Official Date: | November 2016 | ||||||||
| Dates: |
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| Volume: | 2016 | ||||||||
| Number: | 10 | ||||||||
| Page Range: | pp. 2557-2568 | ||||||||
| DOI: | 10.1038/ismej.2016.45 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||||
| Date of first compliant deposit: | 2 March 2016 | ||||||||
| Date of first compliant Open Access: | 23 June 2016 | ||||||||
| Funder: | Biotechnology and Biological Sciences Research Council (Great Britain) (BBSRC), United States. Army Research Office (ARO) | ||||||||
| Grant number: | W911NF-14-1-0445 (ARO) |
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