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Rapid evolution of trait correlation networks during bacterial adaptation to the rhizosphere
There is a growing awareness that traits do not evolve individually but rather are organized as modular networks of covarying traits. Although the importance of multi‐trait correlation has been linked to the ability to evolve in response to new environmental conditions, the evolvability of the netwo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8252368/ https://www.ncbi.nlm.nih.gov/pubmed/33634862 http://dx.doi.org/10.1111/evo.14202 |
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author | Li, Erqin Ryo, Masahiro Kowalchuk, George A. Bakker, Peter A. H. M. Jousset, Alexandre |
author_facet | Li, Erqin Ryo, Masahiro Kowalchuk, George A. Bakker, Peter A. H. M. Jousset, Alexandre |
author_sort | Li, Erqin |
collection | PubMed |
description | There is a growing awareness that traits do not evolve individually but rather are organized as modular networks of covarying traits. Although the importance of multi‐trait correlation has been linked to the ability to evolve in response to new environmental conditions, the evolvability of the network itself has to date rarely been assessed experimentally. By following the evolutionary dynamics of a model bacterium adapting to plant roots, we demonstrate that the whole structure of the trait correlation network is highly dynamic. We experimentally evolved Pseudomonas protegens, a common rhizosphere dweller, on the roots of Arabidopsis thaliana. We collected bacteria at regular intervals and determined a range of traits linked to growth, stress resistance, and biotic interactions. We observed a rapid disintegration of the original trait correlation network. Ancestral populations showed a modular network, with the traits linked to resource use and stress resistance forming two largely independent modules. This network rapidly was restructured during adaptation, with a loss of the stress resistance module and the appearance of new modules out of previously disconnected traits. These results show that evolutionary dynamics can involve a deep restructuring of phenotypic trait organization, pointing to the emergence of novel life history strategies not represented in the ancestral phenotype. |
format | Online Article Text |
id | pubmed-8252368 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82523682021-07-07 Rapid evolution of trait correlation networks during bacterial adaptation to the rhizosphere Li, Erqin Ryo, Masahiro Kowalchuk, George A. Bakker, Peter A. H. M. Jousset, Alexandre Evolution Original Articles There is a growing awareness that traits do not evolve individually but rather are organized as modular networks of covarying traits. Although the importance of multi‐trait correlation has been linked to the ability to evolve in response to new environmental conditions, the evolvability of the network itself has to date rarely been assessed experimentally. By following the evolutionary dynamics of a model bacterium adapting to plant roots, we demonstrate that the whole structure of the trait correlation network is highly dynamic. We experimentally evolved Pseudomonas protegens, a common rhizosphere dweller, on the roots of Arabidopsis thaliana. We collected bacteria at regular intervals and determined a range of traits linked to growth, stress resistance, and biotic interactions. We observed a rapid disintegration of the original trait correlation network. Ancestral populations showed a modular network, with the traits linked to resource use and stress resistance forming two largely independent modules. This network rapidly was restructured during adaptation, with a loss of the stress resistance module and the appearance of new modules out of previously disconnected traits. These results show that evolutionary dynamics can involve a deep restructuring of phenotypic trait organization, pointing to the emergence of novel life history strategies not represented in the ancestral phenotype. John Wiley and Sons Inc. 2021-03-08 2021-05 /pmc/articles/PMC8252368/ /pubmed/33634862 http://dx.doi.org/10.1111/evo.14202 Text en © 2021 The Authors. Evolution published by Wiley Periodicals LLC on behalf of The Society for the Study of Evolution. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Articles Li, Erqin Ryo, Masahiro Kowalchuk, George A. Bakker, Peter A. H. M. Jousset, Alexandre Rapid evolution of trait correlation networks during bacterial adaptation to the rhizosphere |
title | Rapid evolution of trait correlation networks during bacterial adaptation to the rhizosphere |
title_full | Rapid evolution of trait correlation networks during bacterial adaptation to the rhizosphere |
title_fullStr | Rapid evolution of trait correlation networks during bacterial adaptation to the rhizosphere |
title_full_unstemmed | Rapid evolution of trait correlation networks during bacterial adaptation to the rhizosphere |
title_short | Rapid evolution of trait correlation networks during bacterial adaptation to the rhizosphere |
title_sort | rapid evolution of trait correlation networks during bacterial adaptation to the rhizosphere |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8252368/ https://www.ncbi.nlm.nih.gov/pubmed/33634862 http://dx.doi.org/10.1111/evo.14202 |
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