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Trade-off shapes diversity in eco-evolutionary dynamics
We introduce an Interaction- and Trade-off-based Eco-Evolutionary Model (ITEEM), in which species are competing in a well-mixed system, and their evolution in interaction trait space is subject to a life-history trade-off between replication rate and competitive ability. We demonstrate that the shap...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6126925/ https://www.ncbi.nlm.nih.gov/pubmed/30117415 http://dx.doi.org/10.7554/eLife.36273 |
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author | Farahpour, Farnoush Saeedghalati, Mohammadkarim Brauer, Verena S Hoffmann, Daniel |
author_facet | Farahpour, Farnoush Saeedghalati, Mohammadkarim Brauer, Verena S Hoffmann, Daniel |
author_sort | Farahpour, Farnoush |
collection | PubMed |
description | We introduce an Interaction- and Trade-off-based Eco-Evolutionary Model (ITEEM), in which species are competing in a well-mixed system, and their evolution in interaction trait space is subject to a life-history trade-off between replication rate and competitive ability. We demonstrate that the shape of the trade-off has a fundamental impact on eco-evolutionary dynamics, as it imposes four phases of diversity, including a sharp phase transition. Despite its minimalism, ITEEM produces a remarkable range of patterns of eco-evolutionary dynamics that are observed in experimental and natural systems. Most notably we find self-organization towards structured communities with high and sustained diversity, in which competing species form interaction cycles similar to rock-paper-scissors games. |
format | Online Article Text |
id | pubmed-6126925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-61269252018-09-10 Trade-off shapes diversity in eco-evolutionary dynamics Farahpour, Farnoush Saeedghalati, Mohammadkarim Brauer, Verena S Hoffmann, Daniel eLife Computational and Systems Biology We introduce an Interaction- and Trade-off-based Eco-Evolutionary Model (ITEEM), in which species are competing in a well-mixed system, and their evolution in interaction trait space is subject to a life-history trade-off between replication rate and competitive ability. We demonstrate that the shape of the trade-off has a fundamental impact on eco-evolutionary dynamics, as it imposes four phases of diversity, including a sharp phase transition. Despite its minimalism, ITEEM produces a remarkable range of patterns of eco-evolutionary dynamics that are observed in experimental and natural systems. Most notably we find self-organization towards structured communities with high and sustained diversity, in which competing species form interaction cycles similar to rock-paper-scissors games. eLife Sciences Publications, Ltd 2018-08-17 /pmc/articles/PMC6126925/ /pubmed/30117415 http://dx.doi.org/10.7554/eLife.36273 Text en © 2018, Farahpour et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Farahpour, Farnoush Saeedghalati, Mohammadkarim Brauer, Verena S Hoffmann, Daniel Trade-off shapes diversity in eco-evolutionary dynamics |
title | Trade-off shapes diversity in eco-evolutionary dynamics |
title_full | Trade-off shapes diversity in eco-evolutionary dynamics |
title_fullStr | Trade-off shapes diversity in eco-evolutionary dynamics |
title_full_unstemmed | Trade-off shapes diversity in eco-evolutionary dynamics |
title_short | Trade-off shapes diversity in eco-evolutionary dynamics |
title_sort | trade-off shapes diversity in eco-evolutionary dynamics |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6126925/ https://www.ncbi.nlm.nih.gov/pubmed/30117415 http://dx.doi.org/10.7554/eLife.36273 |
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