When everything is not everywhere but species evolve: an alternative method to model adaptive properties of marine ecosystems
The functional and taxonomic biogeography of marine microbial systems reflects the current state of an evolving system. Current models of marine microbial systems and biogeochemical cycles do not reflect this fundamental organizing principle. Here, we investigate the evolutionary adaptive potential...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Oxford University Press
2015
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| Online Access: | http://hdl.handle.net/1721.1/96706 https://orcid.org/0000-0002-3102-0341 |
| _version_ | 1826206802563301376 |
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| author | Sauterey, Boris Ward, Ben A. Bowler, Chris Claessen, David Follows, Michael J |
| author2 | Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Sauterey, Boris Ward, Ben A. Bowler, Chris Claessen, David Follows, Michael J |
| author_sort | Sauterey, Boris |
| collection | MIT |
| description | The functional and taxonomic biogeography of marine microbial systems reflects the current state of an evolving system. Current models of marine microbial systems and biogeochemical cycles do not reflect this fundamental organizing principle. Here, we investigate the evolutionary adaptive potential of marine microbial systems under environmental change and introduce explicit Darwinian adaptation into an ocean modelling framework, simulating evolving phytoplankton communities in space and time. To this end, we adopt tools from adaptive dynamics theory, evaluating the fitness of invading mutants over annual timescales, replacing the resident if a fitter mutant arises. Using the evolutionary framework, we examine how community assembly, specifically the emergence of phytoplankton cell size diversity, reflects the combined effects of bottom-up and top-down controls. When compared with a species-selection approach, based on the paradigm that “Everything is everywhere, but the environment selects”, we show that (i) the selected optimal trait values are similar; (ii) the patterns emerging from the adaptive model are more robust, but (iii) the two methods lead to different predictions in terms of emergent diversity. We demonstrate that explicitly evolutionary approaches to modelling marine microbial populations and functionality are feasible and practical in time-varying, space-resolving settings and provide a new tool for exploring evolutionary interactions on a range of timescales in the ocean. |
| first_indexed | 2024-09-23T13:38:47Z |
| format | Article |
| id | mit-1721.1/96706 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:38:47Z |
| publishDate | 2015 |
| publisher | Oxford University Press |
| record_format | dspace |
| spelling | mit-1721.1/967062024-05-15T02:19:16Z When everything is not everywhere but species evolve: an alternative method to model adaptive properties of marine ecosystems Sauterey, Boris Ward, Ben A. Bowler, Chris Claessen, David Follows, Michael J Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Follows, Michael J. The functional and taxonomic biogeography of marine microbial systems reflects the current state of an evolving system. Current models of marine microbial systems and biogeochemical cycles do not reflect this fundamental organizing principle. Here, we investigate the evolutionary adaptive potential of marine microbial systems under environmental change and introduce explicit Darwinian adaptation into an ocean modelling framework, simulating evolving phytoplankton communities in space and time. To this end, we adopt tools from adaptive dynamics theory, evaluating the fitness of invading mutants over annual timescales, replacing the resident if a fitter mutant arises. Using the evolutionary framework, we examine how community assembly, specifically the emergence of phytoplankton cell size diversity, reflects the combined effects of bottom-up and top-down controls. When compared with a species-selection approach, based on the paradigm that “Everything is everywhere, but the environment selects”, we show that (i) the selected optimal trait values are similar; (ii) the patterns emerging from the adaptive model are more robust, but (iii) the two methods lead to different predictions in terms of emergent diversity. We demonstrate that explicitly evolutionary approaches to modelling marine microbial populations and functionality are feasible and practical in time-varying, space-resolving settings and provide a new tool for exploring evolutionary interactions on a range of timescales in the ocean. France. Agence nationale de la recherche (grant PHYTBACK (ANR-10-BLAN-7109)) European Union (EU Micro B3 project) European Research Council (ERC Diatomite project) Gordon and Betty Moore Foundation (Grant #3778) 2015-04-22T18:16:38Z 2015-04-22T18:16:38Z 2014-10 2013-08 Article http://purl.org/eprint/type/JournalArticle 0142-7873 1464-3774 http://hdl.handle.net/1721.1/96706 Sauterey, B., B. A. Ward, M. J. Follows, C. Bowler, and D. Claessen. “When Everything Is Not Everywhere but Species Evolve: An Alternative Method to Model Adaptive Properties of Marine Ecosystems.” Journal of Plankton Research 37, no. 1 (October 3, 2014): 28–47. https://orcid.org/0000-0002-3102-0341 en_US http://dx.doi.org/10.1093/plankt/fbu078 Journal of Plankton Research Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ application/pdf Oxford University Press Oxford University Press |
| spellingShingle | Sauterey, Boris Ward, Ben A. Bowler, Chris Claessen, David Follows, Michael J When everything is not everywhere but species evolve: an alternative method to model adaptive properties of marine ecosystems |
| title | When everything is not everywhere but species evolve: an alternative method to model adaptive properties of marine ecosystems |
| title_full | When everything is not everywhere but species evolve: an alternative method to model adaptive properties of marine ecosystems |
| title_fullStr | When everything is not everywhere but species evolve: an alternative method to model adaptive properties of marine ecosystems |
| title_full_unstemmed | When everything is not everywhere but species evolve: an alternative method to model adaptive properties of marine ecosystems |
| title_short | When everything is not everywhere but species evolve: an alternative method to model adaptive properties of marine ecosystems |
| title_sort | when everything is not everywhere but species evolve an alternative method to model adaptive properties of marine ecosystems |
| url | http://hdl.handle.net/1721.1/96706 https://orcid.org/0000-0002-3102-0341 |
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