Evolutionary Insights from a Large-Scale Survey of Population-Genomic Variation.

Daphnia pulex adaptive divergence background selection fluctuating selection linkage disequilibrium population genomics site-frequency spectrum

Journal

Molecular biology and evolution
ISSN: 1537-1719
Titre abrégé: Mol Biol Evol
Pays: United States
ID NLM: 8501455

Informations de publication

Date de publication:
03 Nov 2023
Historique:
received: 03 05 2023
revised: 11 09 2023
accepted: 03 10 2023
medline: 9 11 2023
pubmed: 21 10 2023
entrez: 20 10 2023
Statut: ppublish

Résumé

The field of genomics has ushered in new methods for studying molecular-genetic variation in natural populations. However, most population-genomic studies still rely on small sample sizes (typically, <100 individuals) from single time points, leaving considerable uncertainties with respect to the behavior of relatively young (and rare) alleles and, owing to the large sampling variance of measures of variation, to the specific gene targets of unusually strong selection. Genomic sequences of ∼1,700 haplotypes distributed over a 10-year period from a natural population of the microcrustacean Daphnia pulex reveal evolutionary-genomic features at a refined scale, including previously hidden information on the behavior of rare alleles predicted by recent theory. Background selection, resulting from the recurrent introduction of deleterious alleles, appears to strongly influence the dynamics of neutral alleles, inducing indirect negative selection on rare variants and positive selection on common variants. Temporally fluctuating selection increases the persistence of nonsynonymous alleles with intermediate frequencies, while reducing standing levels of variation at linked silent sites. Combined with the results from an equally large metapopulation survey of the study species, classes of genes that are under strong positive selection can now be confidently identified in this key model organism. Most notable among rapidly evolving Daphnia genes are those associated with ribosomes, mitochondrial functions, sensory systems, and lifespan determination.

Identifiants

pubmed: 37863047
pii: 7325965
doi: 10.1093/molbev/msad233
pmc: PMC10630549
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIGMS NIH HHS
ID : R35 GM122566
Pays : United States
Organisme : NIH HHS
ID : R01-GM101672
Pays : United States

Commentaires et corrections

Type : UpdateOf

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution.

Déclaration de conflit d'intérêts

Conflict of interest statement. None declared.

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Auteurs

Zhiqiang Ye (Z)

Hubei Key Laboratory of Genetic Regulation & Integrative Biology, School of Life Sciences, Central China Normal University, Wuhan 430079, China.

Wen Wei (W)

Biodesign Center for Mechanisms of Evolution, Arizona State University, Tempe, AZ 85287, USA.

Michael E Pfrender (ME)

Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA.

Michael Lynch (M)

Biodesign Center for Mechanisms of Evolution, Arizona State University, Tempe, AZ 85287, USA.

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