Drivers of genomic landscapes of differentiation across a Populus divergence gradient.

differentiation islands divergence identity-by-descent introgression linked selection recombination

Journal

Molecular ecology
ISSN: 1365-294X
Titre abrégé: Mol Ecol
Pays: England
ID NLM: 9214478

Informations de publication

Date de publication:
08 2023
Historique:
revised: 20 04 2023
received: 21 03 2023
accepted: 23 05 2023
medline: 25 7 2023
pubmed: 5 6 2023
entrez: 4 6 2023
Statut: ppublish

Résumé

Speciation, the continuous process by which new species form, is often investigated by looking at the variation of nucleotide diversity and differentiation across the genome (hereafter genomic landscapes). A key challenge lies in how to determine the main evolutionary forces at play shaping these patterns. One promising strategy, albeit little used to date, is to comparatively investigate these genomic landscapes as progression through time by using a series of species pairs along a divergence gradient. Here, we resequenced 201 whole-genomes from eight closely related Populus species, with pairs of species at different stages along the divergence gradient to learn more about speciation processes. Using population structure and ancestry analyses, we document extensive introgression between some species pairs, especially those with parapatric distributions. We further investigate genomic landscapes, focusing on within-species (i.e. nucleotide diversity and recombination rate) and among-species (i.e. relative and absolute divergence) summary statistics of diversity and divergence. We observe relatively conserved patterns of genomic divergence across species pairs. Independent of the stage across the divergence gradient, we find support for signatures of linked selection (i.e. the interaction between natural selection and genetic linkage) in shaping these genomic landscapes, along with gene flow and standing genetic variation. We highlight the importance of investigating genomic patterns on multiple species across a divergence gradient and discuss prospects to better understand the evolutionary forces shaping the genomic landscapes of diversity and differentiation.

Identifiants

pubmed: 37271855
doi: 10.1111/mec.17034
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4348-4361

Informations de copyright

© 2023 John Wiley & Sons Ltd.

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Auteurs

Huiying Shang (H)

Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria.
Vienna Graduate School of Population Genetics, Vienna, Austria.
Xi'an Botanical Garden of Shaanxi Province, Institute of Botany of Shaanxi Province, Xi'an, China.

David L Field (DL)

School of Science, Edith Cowan University, Joondalup, Western Australia, Australia.

Ovidiu Paun (O)

Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria.

Martha Rendón-Anaya (M)

Department of Plant Biology, Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden.

Jaqueline Hess (J)

Helmholtz Centre for Environmental Research, Halle (Saale), Germany.

Claus Vogl (C)

Department of Biomedical Sciences, Vetmeduni Vienna, Vienna, Austria.

Jianquan Liu (J)

Key Laboratory for Bio-resources and Eco-environment, College of Life Science, Sichuan University, Chengdu, China.

Pär K Ingvarsson (PK)

Department of Plant Biology, Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden.

Christian Lexer (C)

Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria.

Thibault Leroy (T)

Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria.
GenPhySE, INRAE, INP, ENVT, Université de Toulouse, Castanet-Tolosan, France.

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