Rapid evolution of trait correlation networks during bacterial adaptation to the rhizosphere.
Bacteria
experimental evolution
rhizosphere
trait correlation network
Journal
Evolution; international journal of organic evolution
ISSN: 1558-5646
Titre abrégé: Evolution
Pays: United States
ID NLM: 0373224
Informations de publication
Date de publication:
05 2021
05 2021
Historique:
revised:
04
02
2021
received:
19
06
2019
accepted:
12
02
2021
pubmed:
27
2
2021
medline:
10
11
2021
entrez:
26
2
2021
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 33634862
doi: 10.1111/evo.14202
pmc: PMC8252368
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1218-1229Informations de copyright
© 2021 The Authors. Evolution published by Wiley Periodicals LLC on behalf of The Society for the Study of Evolution.
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