The measurement of coevolution in the wild.

Coevolution coevolutionary arms race evolutionary ecology maximum likelihood quantitative genetics

Journal

Ecology letters
ISSN: 1461-0248
Titre abrégé: Ecol Lett
Pays: England
ID NLM: 101121949

Informations de publication

Date de publication:
Apr 2019
Historique:
received: 03 09 2018
revised: 14 10 2018
revised: 27 12 2018
accepted: 11 01 2019
pubmed: 19 2 2019
medline: 8 8 2019
entrez: 19 2 2019
Statut: ppublish

Résumé

Coevolution has long been thought to drive the exaggeration of traits, promote major evolutionary transitions such as the evolution of sexual reproduction and influence epidemiological dynamics. Despite coevolution's long suspected importance, we have yet to develop a quantitative understanding of its strength and prevalence because we lack generally applicable statistical methods that yield numerical estimates for coevolution's strength and significance in the wild. Here, we develop a novel method that derives maximum likelihood estimates for the strength of direct pairwise coevolution by coupling a well-established coevolutionary model to spatially structured phenotypic data. Applying our method to two well-studied interactions reveals evidence for coevolution in both systems. Broad application of this approach has the potential to further resolve long-standing evolutionary debates such as the role species interactions play in the evolution of sexual reproduction and the organisation of ecological communities.

Identifiants

pubmed: 30775838
doi: 10.1111/ele.13231
doi:

Types de publication

Letter

Langues

eng

Pagination

717-725

Informations de copyright

© 2019 John Wiley & Sons Ltd/CNRS.

Auteurs

Bob Week (B)

Department of Biological Sciences, University of Idaho, Idaho, NW, USA.

Scott L Nuismer (SL)

Department of Biological Sciences, University of Idaho, Idaho, NW, USA.

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Classifications MeSH