Persistent Gene Flow Suggests an Absence of Reproductive Isolation in an African Antelope Speciation Model.

Admixture Islands of differentiation Speciation genomics Waterbuck

Journal

Systematic biology
ISSN: 1076-836X
Titre abrégé: Syst Biol
Pays: England
ID NLM: 9302532

Informations de publication

Date de publication:
14 Aug 2024
Historique:
received: 17 04 2023
medline: 14 8 2024
pubmed: 14 8 2024
entrez: 14 8 2024
Statut: aheadofprint

Résumé

African antelope diversity is a globally unique vestige of a much richer world-wide Pleistocene megafauna. Despite this, the evolutionary processes leading to the prolific radiation of African antelopes are not well understood. Here, we sequenced 145 whole genomes from both subspecies of the waterbuck (Kobus ellipsiprymnus), an African antelope believed to be in the process of speciation. We investigated genetic structure and population divergence and found evidence of a mid-Pleistocene separation on either side of the eastern Great Rift Valley, consistent with vicariance caused by a rain shadow along the so-called 'Kingdon's Line'. However, we also found pervasive evidence of both recent and widespread historical gene flow across the Rift Valley barrier. By inferring the genome-wide landscape of variation among subspecies, we found 14 genomic regions of elevated differentiation, including a locus that may be related to each subspecies' distinctive coat pigmentation pattern. We investigated these regions as candidate speciation islands. However, we observed no significant reduction in gene flow in these regions, nor any indications of selection against hybrids. Altogether, these results suggest a pattern whereby climatically driven vicariance is the most important process driving the African antelope radiation, and suggest that reproductive isolation may not set in until very late in the divergence process. This has a significant impact on taxonomic inference, as many taxa will be in a gray area of ambiguous systematic status, possibly explaining why it has been hard to achieve consensus regarding the species status of many African antelopes. Our analyses demonstrate how population genetics based on low-depth whole genome sequencing can provide new insights that can help resolve how far lineages have gone along the path to speciation.

Identifiants

pubmed: 39140829
pii: 7733487
doi: 10.1093/sysbio/syae037
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the Society of Systematic Biologists.

Auteurs

Xi Wang (X)

Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark.

Casper-Emil Tingskov Pedersen (CT)

COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.

Georgios Athanasiadis (G)

Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark.
Department of Evolutionary Biology, Ecology and Environmental Sciences, University of Barcelona, 08028 Barcelona, Spain.

Genís Garcia-Erill (G)

Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark.

Kristian Hanghøj (K)

Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark.

Laura D Bertola (LD)

Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark.

Malthe Sebro Rasmussen (MS)

Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark.

Mikkel Schubert (M)

Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Xiaodong Liu (X)

Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark.

Zilong Li (Z)

Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark.

Long Lin (L)

Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark.

Renzo F Balboa (RF)

Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark.

Emil Jørsboe (E)

Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.
Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.

Casia Nursyifa (C)

Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark.

Shanlin Liu (S)

Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, China.

Vincent Muwanika (V)

Department of Environmental Management, Makerere University, PO Box 7062, Kampala, Uganda.

Charles Masembe (C)

Department of Biology, Makerere University, PO Box 7062, Kampala, Uganda.

Lei Chen (L)

School of Ecology and Environment, Northwestern Polytechnical University, Xi'an 710072, China.

Wen Wang (W)

School of Ecology and Environment, Northwestern Polytechnical University, Xi'an 710072, China.

Ida Moltke (I)

Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark.

Hans R Siegismund (HR)

Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark.

Anders Albrechtsen (A)

Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark.

Rasmus Heller (R)

Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark.

Classifications MeSH