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Population genomic response to geographic gradients by widespread and endemic fishes of the Arabian Peninsula.
DiBattista, Joseph D; Saenz-Agudelo, Pablo; Piatek, Marek J; Cagua, Edgar Fernando; Bowen, Brian W; Choat, John Howard; Rocha, Luiz A; Gaither, Michelle R; Hobbs, Jean-Paul A; Sinclair-Taylor, Tane H; McIlwain, Jennifer H; Priest, Mark A; Braun, Camrin D; Hussey, Nigel E; Kessel, Steven T; Berumen, Michael L.
Afiliação
  • DiBattista JD; Division of Biological and Environmental Science and Engineering Red Sea Research Center King Abdullah University of Science and Technology Thuwal Saudi Arabia.
  • Saenz-Agudelo P; School of Molecular and Life Sciences Curtin University Perth WA Australia.
  • Piatek MJ; Australian Museum Research Institute Australian Museum Sydney NSW Australia.
  • Cagua EF; Division of Biological and Environmental Science and Engineering Red Sea Research Center King Abdullah University of Science and Technology Thuwal Saudi Arabia.
  • Bowen BW; Instituto de Ciencias Ambientales y Evolutivas Universidad Austral de Chile Valdivia Chile.
  • Choat JH; Computational Bioscience Research Center King Abdullah University of Science and Technology Thuwal Saudi Arabia.
  • Rocha LA; Biosciences Division Oak Ridge National Laboratory Oak Ridge TN USA.
  • Gaither MR; Centre for Integrative Ecology School of Biological Sciences University of Canterbury Christchurch New Zealand.
  • Hobbs JA; Hawai'i Institute of Marine Biology Kane'ohe HI USA.
  • Sinclair-Taylor TH; School of Marine and Tropical Biology James Cook University Townsville Qld Australia.
  • McIlwain JH; Section of Ichthyology California Academy of Sciences San Francisco CA USA.
  • Priest MA; Section of Ichthyology California Academy of Sciences San Francisco CA USA.
  • Braun CD; Genomics and Bioinformatics Cluster Department of Biology University of Central Florida Orlando FL USA.
  • Hussey NE; School of Molecular and Life Sciences Curtin University Perth WA Australia.
  • Kessel ST; School of Biological Sciences University of Queensland Brisbane Qld Australia.
  • Berumen ML; Division of Biological and Environmental Science and Engineering Red Sea Research Center King Abdullah University of Science and Technology Thuwal Saudi Arabia.
Ecol Evol ; 10(10): 4314-4330, 2020 May.
Article em En | MEDLINE | ID: mdl-32489599
ABSTRACT
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.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2020 Tipo de documento: Article