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Seascape genomics of common dolphins (Delphinus delphis) reveals adaptive diversity linked to regional and local oceanography

BACKGROUND: High levels of standing genomic variation in wide-ranging marine species may enhance prospects for their long-term persistence. Patterns of connectivity and adaptation in such species are often thought to be influenced by spatial factors, environmental heterogeneity, and oceanographic an...

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Autores principales: Barceló, Andrea, Sandoval-Castillo, Jonathan, Brauer, Chris J., Bilgmann, Kerstin, Parra, Guido J., Beheregaray, Luciano B., Möller, Luciana M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9275043/
https://www.ncbi.nlm.nih.gov/pubmed/35818031
http://dx.doi.org/10.1186/s12862-022-02038-1
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author Barceló, Andrea
Sandoval-Castillo, Jonathan
Brauer, Chris J.
Bilgmann, Kerstin
Parra, Guido J.
Beheregaray, Luciano B.
Möller, Luciana M.
author_facet Barceló, Andrea
Sandoval-Castillo, Jonathan
Brauer, Chris J.
Bilgmann, Kerstin
Parra, Guido J.
Beheregaray, Luciano B.
Möller, Luciana M.
author_sort Barceló, Andrea
collection PubMed
description BACKGROUND: High levels of standing genomic variation in wide-ranging marine species may enhance prospects for their long-term persistence. Patterns of connectivity and adaptation in such species are often thought to be influenced by spatial factors, environmental heterogeneity, and oceanographic and geomorphological features. Population-level studies that analytically integrate genome-wide data with environmental information (i.e., seascape genomics) have the potential to inform the spatial distribution of adaptive diversity in wide-ranging marine species, such as many marine mammals. We assessed genotype-environment associations (GEAs) in 214 common dolphins (Delphinus delphis) along > 3000 km of the southern coast of Australia. RESULTS: We identified 747 candidate adaptive SNPs out of a filtered panel of 17,327 SNPs, and five putatively locally-adapted populations with high levels of standing genomic variation were disclosed along environmentally heterogeneous coasts. Current velocity, sea surface temperature, salinity, and primary productivity were the key environmental variables associated with genomic variation. These environmental variables are in turn related to three main oceanographic phenomena that are likely affecting the dispersal of common dolphins: (1) regional oceanographic circulation, (2) localised and seasonal upwellings, and (3) seasonal on-shelf circulation in protected coastal habitats. Signals of selection at exonic gene regions suggest that adaptive divergence is related to important metabolic traits. CONCLUSION: To the best of our knowledge, this represents the first seascape genomics study for common dolphins (genus Delphinus). Information from the associations between populations and their environment can assist population management in forecasting the adaptive capacity of common dolphins to climate change and other anthropogenic impacts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12862-022-02038-1.
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spelling pubmed-92750432022-07-13 Seascape genomics of common dolphins (Delphinus delphis) reveals adaptive diversity linked to regional and local oceanography Barceló, Andrea Sandoval-Castillo, Jonathan Brauer, Chris J. Bilgmann, Kerstin Parra, Guido J. Beheregaray, Luciano B. Möller, Luciana M. BMC Ecol Evol Research BACKGROUND: High levels of standing genomic variation in wide-ranging marine species may enhance prospects for their long-term persistence. Patterns of connectivity and adaptation in such species are often thought to be influenced by spatial factors, environmental heterogeneity, and oceanographic and geomorphological features. Population-level studies that analytically integrate genome-wide data with environmental information (i.e., seascape genomics) have the potential to inform the spatial distribution of adaptive diversity in wide-ranging marine species, such as many marine mammals. We assessed genotype-environment associations (GEAs) in 214 common dolphins (Delphinus delphis) along > 3000 km of the southern coast of Australia. RESULTS: We identified 747 candidate adaptive SNPs out of a filtered panel of 17,327 SNPs, and five putatively locally-adapted populations with high levels of standing genomic variation were disclosed along environmentally heterogeneous coasts. Current velocity, sea surface temperature, salinity, and primary productivity were the key environmental variables associated with genomic variation. These environmental variables are in turn related to three main oceanographic phenomena that are likely affecting the dispersal of common dolphins: (1) regional oceanographic circulation, (2) localised and seasonal upwellings, and (3) seasonal on-shelf circulation in protected coastal habitats. Signals of selection at exonic gene regions suggest that adaptive divergence is related to important metabolic traits. CONCLUSION: To the best of our knowledge, this represents the first seascape genomics study for common dolphins (genus Delphinus). Information from the associations between populations and their environment can assist population management in forecasting the adaptive capacity of common dolphins to climate change and other anthropogenic impacts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12862-022-02038-1. BioMed Central 2022-07-12 /pmc/articles/PMC9275043/ /pubmed/35818031 http://dx.doi.org/10.1186/s12862-022-02038-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Barceló, Andrea
Sandoval-Castillo, Jonathan
Brauer, Chris J.
Bilgmann, Kerstin
Parra, Guido J.
Beheregaray, Luciano B.
Möller, Luciana M.
Seascape genomics of common dolphins (Delphinus delphis) reveals adaptive diversity linked to regional and local oceanography
title Seascape genomics of common dolphins (Delphinus delphis) reveals adaptive diversity linked to regional and local oceanography
title_full Seascape genomics of common dolphins (Delphinus delphis) reveals adaptive diversity linked to regional and local oceanography
title_fullStr Seascape genomics of common dolphins (Delphinus delphis) reveals adaptive diversity linked to regional and local oceanography
title_full_unstemmed Seascape genomics of common dolphins (Delphinus delphis) reveals adaptive diversity linked to regional and local oceanography
title_short Seascape genomics of common dolphins (Delphinus delphis) reveals adaptive diversity linked to regional and local oceanography
title_sort seascape genomics of common dolphins (delphinus delphis) reveals adaptive diversity linked to regional and local oceanography
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9275043/
https://www.ncbi.nlm.nih.gov/pubmed/35818031
http://dx.doi.org/10.1186/s12862-022-02038-1
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