Population genomic response to geographic gradients by widespread and endemic fishes of the Arabian Peninsula.

Indo‐West Pacific butterflyfishes coral reefs ddRAD single nucleotide polymorphism vicariance

Journal

Ecology and evolution
ISSN: 2045-7758
Titre abrégé: Ecol Evol
Pays: England
ID NLM: 101566408

Informations de publication

Date de publication:
May 2020
Historique:
received: 30 01 2020
revised: 21 02 2020
accepted: 24 02 2020
entrez: 4 6 2020
pubmed: 4 6 2020
medline: 4 6 2020
Statut: epublish

Résumé

Genetic structure within marine species may be driven by local adaptation to their environment, or alternatively by historical processes, such as geographic isolation. The gulfs and seas bordering the Arabian Peninsula offer an ideal setting to examine connectivity patterns in coral reef fishes with respect to environmental gradients and vicariance. The Red Sea is characterized by a unique marine fauna, historical periods of desiccation and isolation, as well as environmental gradients in salinity, temperature, and primary productivity that vary both by latitude and by season. The adjacent Arabian Sea is characterized by a sharper environmental gradient, ranging from extensive coral cover and warm temperatures in the southwest, to sparse coral cover, cooler temperatures, and seasonal upwelling in the northeast. Reef fish, however, are not confined to these seas, with some Red Sea fishes extending varying distances into the northern Arabian Sea, while their pelagic larvae are presumably capable of much greater dispersal. These species must therefore cope with a diversity of conditions that invoke the possibility of steep clines in natural selection. Here, we test for genetic structure in two widespread reef fish species (a butterflyfish and surgeonfish) and eight range-restricted butterflyfishes across the Red Sea and Arabian Sea using genome-wide single nucleotide polymorphisms. We performed multiple matrix regression with randomization analyses on genetic distances for all species, as well as reconstructed scenarios for population subdivision in the species with signatures of isolation. We found that (a) widespread species displayed more genetic subdivision than regional endemics and (b) this genetic structure was not correlated with contemporary environmental parameters but instead may reflect historical events. We propose that the endemic species may be adapted to a diversity of local conditions, but the widespread species are instead subject to ecological filtering where different combinations of genotypes persist under divergent ecological regimes.

Identifiants

pubmed: 32489599
doi: 10.1002/ece3.6199
pii: ECE36199
pmc: PMC7246217
doi:

Banques de données

Dryad
['10.5061/dryad.rn8pk0p68']

Types de publication

Journal Article

Langues

eng

Pagination

4314-4330

Informations de copyright

© 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

Déclaration de conflit d'intérêts

The authors declare no competing interests.

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Auteurs

Joseph D DiBattista (JD)

Division of Biological and Environmental Science and Engineering Red Sea Research Center King Abdullah University of Science and Technology Thuwal Saudi Arabia.
School of Molecular and Life Sciences Curtin University Perth WA Australia.
Australian Museum Research Institute Australian Museum Sydney NSW Australia.

Pablo Saenz-Agudelo (P)

Division of Biological and Environmental Science and Engineering Red Sea Research Center King Abdullah University of Science and Technology Thuwal Saudi Arabia.
Instituto de Ciencias Ambientales y Evolutivas Universidad Austral de Chile Valdivia Chile.

Marek J Piatek (MJ)

Computational Bioscience Research Center King Abdullah University of Science and Technology Thuwal Saudi Arabia.
Biosciences Division Oak Ridge National Laboratory Oak Ridge TN USA.

Edgar Fernando Cagua (EF)

Centre for Integrative Ecology School of Biological Sciences University of Canterbury Christchurch New Zealand.

Brian W Bowen (BW)

Hawai'i Institute of Marine Biology Kāne'ohe HI USA.

John Howard Choat (JH)

School of Marine and Tropical Biology James Cook University Townsville Qld Australia.

Luiz A Rocha (LA)

Section of Ichthyology California Academy of Sciences San Francisco CA USA.

Michelle R Gaither (MR)

Section of Ichthyology California Academy of Sciences San Francisco CA USA.
Genomics and Bioinformatics Cluster Department of Biology University of Central Florida Orlando FL USA.

Jean-Paul A Hobbs (JA)

School of Molecular and Life Sciences Curtin University Perth WA Australia.
School of Biological Sciences University of Queensland Brisbane Qld Australia.

Tane H Sinclair-Taylor (TH)

Division of Biological and Environmental Science and Engineering Red Sea Research Center King Abdullah University of Science and Technology Thuwal Saudi Arabia.
Australian Institute of Marine Science Townsville Qld Australia.

Jennifer H McIlwain (JH)

School of Molecular and Life Sciences Curtin University Perth WA Australia.

Mark A Priest (MA)

Marine Spatial Ecology Lab School of Biological Sciences and ARC Centre of Excellence for Coral Reef Studies University of Queensland St. Lucia Qld Australia.

Camrin D Braun (CD)

Division of Biological and Environmental Science and Engineering Red Sea Research Center King Abdullah University of Science and Technology Thuwal Saudi Arabia.
School of Aquatic and Fishery Sciences University of Washington Seattle WA USA.

Nigel E Hussey (NE)

Biological Sciences University of Windsor Windsor ON Canada.

Steven T Kessel (ST)

Daniel P. Haerther Center for Conservation and Research John G. Shedd Aquarium Chicago IL USA.

Michael L Berumen (ML)

Division of Biological and Environmental Science and Engineering Red Sea Research Center King Abdullah University of Science and Technology Thuwal Saudi Arabia.

Classifications MeSH