Polygenic local adaptation in metapopulations: A stochastic eco-evolutionary model.
Demographic stochasticity
eco-evolutionary dynamics
extinction
local adaptation
metapopulation
polygenic selection
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:
received:
20
06
2020
accepted:
13
02
2021
pubmed:
21
3
2021
medline:
10
11
2021
entrez:
20
3
2021
Statut:
ppublish
Résumé
This article analyzes the conditions for local adaptation in a metapopulation with infinitely many islands under a model of hard selection, where population size depends on local fitness. Each island belongs to one of two distinct ecological niches or habitats. Fitness is influenced by an additive trait which is under habitat-dependent directional selection. Our analysis is based on the diffusion approximation and accounts for both genetic drift and demographic stochasticity. By neglecting linkage disequilibria, it yields the joint distribution of allele frequencies and population size on each island. We find that under hard selection, the conditions for local adaptation in a rare habitat are more restrictive for more polygenic traits: even moderate migration load per locus at very many loci is sufficient for population sizes to decline. This further reduces the efficacy of selection at individual loci due to increased drift and because smaller populations are more prone to swamping due to migration, causing a positive feedback between increasing maladaptation and declining population sizes. Our analysis also highlights the importance of demographic stochasticity, which exacerbates the decline in numbers of maladapted populations, leading to population collapse in the rare habitat at significantly lower migration than predicted by deterministic arguments.
Identifiants
pubmed: 33742441
doi: 10.1111/evo.14210
pmc: PMC8251656
doi:
Banques de données
Dryad
['10.5061/dryad.8gtht76p1']
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1030-1045Informations 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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