From conservation genetics to conservation genomics: a genome-wide assessment of blue whales (Balaenoptera musculus) in Australian feeding aggregations

Genetic datasets of tens of markers have been superseded through next-generation sequencing technology with genome-wide datasets of thousands of markers. Genomic datasets improve our power to detect low population structure and identify adaptive divergence. The increased population-level knowledge c...

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Published in:Royal Society Open Science
Main Authors: Attard, Catherine R. M., Beheregaray, Luciano B., Sandoval-Castillo, Jonathan, Jenner, K. Curt S., Gill, Peter C., Jenner, Micheline-Nicole M., Morrice, Margaret G., Möller, Luciana M.
Format: Text
Language:English
Published: The Royal Society Publishing 2018
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Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5792883/
http://www.ncbi.nlm.nih.gov/pubmed/29410806
https://doi.org/10.1098/rsos.170925
id ftpubmed:oai:pubmedcentral.nih.gov:5792883
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spelling ftpubmed:oai:pubmedcentral.nih.gov:5792883 2023-05-15T15:36:20+02:00 From conservation genetics to conservation genomics: a genome-wide assessment of blue whales (Balaenoptera musculus) in Australian feeding aggregations Attard, Catherine R. M. Beheregaray, Luciano B. Sandoval-Castillo, Jonathan Jenner, K. Curt S. Gill, Peter C. Jenner, Micheline-Nicole M. Morrice, Margaret G. Möller, Luciana M. 2018-01-31 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5792883/ http://www.ncbi.nlm.nih.gov/pubmed/29410806 https://doi.org/10.1098/rsos.170925 en eng The Royal Society Publishing http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5792883/ http://www.ncbi.nlm.nih.gov/pubmed/29410806 http://dx.doi.org/10.1098/rsos.170925 © 2018 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. CC-BY Biology (Whole Organism) Text 2018 ftpubmed https://doi.org/10.1098/rsos.170925 2018-02-11T01:22:22Z Genetic datasets of tens of markers have been superseded through next-generation sequencing technology with genome-wide datasets of thousands of markers. Genomic datasets improve our power to detect low population structure and identify adaptive divergence. The increased population-level knowledge can inform the conservation management of endangered species, such as the blue whale (Balaenoptera musculus). In Australia, there are two known feeding aggregations of the pygmy blue whale (B. m. brevicauda) which have shown no evidence of genetic structure based on a small dataset of 10 microsatellites and mtDNA. Here, we develop and implement a high-resolution dataset of 8294 genome-wide filtered single nucleotide polymorphisms, the first of its kind for blue whales. We use these data to assess whether the Australian feeding aggregations constitute one population and to test for the first time whether there is adaptive divergence between the feeding aggregations. We found no evidence of neutral population structure and negligible evidence of adaptive divergence. We propose that individuals likely travel widely between feeding areas and to breeding areas, which would require them to be adapted to a wide range of environmental conditions. This has important implications for their conservation as this blue whale population is likely vulnerable to a range of anthropogenic threats both off Australia and elsewhere. Text Balaenoptera musculus Blue whale PubMed Central (PMC) Royal Society Open Science 5 1 170925
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Biology (Whole Organism)
spellingShingle Biology (Whole Organism)
Attard, Catherine R. M.
Beheregaray, Luciano B.
Sandoval-Castillo, Jonathan
Jenner, K. Curt S.
Gill, Peter C.
Jenner, Micheline-Nicole M.
Morrice, Margaret G.
Möller, Luciana M.
From conservation genetics to conservation genomics: a genome-wide assessment of blue whales (Balaenoptera musculus) in Australian feeding aggregations
topic_facet Biology (Whole Organism)
description Genetic datasets of tens of markers have been superseded through next-generation sequencing technology with genome-wide datasets of thousands of markers. Genomic datasets improve our power to detect low population structure and identify adaptive divergence. The increased population-level knowledge can inform the conservation management of endangered species, such as the blue whale (Balaenoptera musculus). In Australia, there are two known feeding aggregations of the pygmy blue whale (B. m. brevicauda) which have shown no evidence of genetic structure based on a small dataset of 10 microsatellites and mtDNA. Here, we develop and implement a high-resolution dataset of 8294 genome-wide filtered single nucleotide polymorphisms, the first of its kind for blue whales. We use these data to assess whether the Australian feeding aggregations constitute one population and to test for the first time whether there is adaptive divergence between the feeding aggregations. We found no evidence of neutral population structure and negligible evidence of adaptive divergence. We propose that individuals likely travel widely between feeding areas and to breeding areas, which would require them to be adapted to a wide range of environmental conditions. This has important implications for their conservation as this blue whale population is likely vulnerable to a range of anthropogenic threats both off Australia and elsewhere.
format Text
author Attard, Catherine R. M.
Beheregaray, Luciano B.
Sandoval-Castillo, Jonathan
Jenner, K. Curt S.
Gill, Peter C.
Jenner, Micheline-Nicole M.
Morrice, Margaret G.
Möller, Luciana M.
author_facet Attard, Catherine R. M.
Beheregaray, Luciano B.
Sandoval-Castillo, Jonathan
Jenner, K. Curt S.
Gill, Peter C.
Jenner, Micheline-Nicole M.
Morrice, Margaret G.
Möller, Luciana M.
author_sort Attard, Catherine R. M.
title From conservation genetics to conservation genomics: a genome-wide assessment of blue whales (Balaenoptera musculus) in Australian feeding aggregations
title_short From conservation genetics to conservation genomics: a genome-wide assessment of blue whales (Balaenoptera musculus) in Australian feeding aggregations
title_full From conservation genetics to conservation genomics: a genome-wide assessment of blue whales (Balaenoptera musculus) in Australian feeding aggregations
title_fullStr From conservation genetics to conservation genomics: a genome-wide assessment of blue whales (Balaenoptera musculus) in Australian feeding aggregations
title_full_unstemmed From conservation genetics to conservation genomics: a genome-wide assessment of blue whales (Balaenoptera musculus) in Australian feeding aggregations
title_sort from conservation genetics to conservation genomics: a genome-wide assessment of blue whales (balaenoptera musculus) in australian feeding aggregations
publisher The Royal Society Publishing
publishDate 2018
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5792883/
http://www.ncbi.nlm.nih.gov/pubmed/29410806
https://doi.org/10.1098/rsos.170925
genre Balaenoptera musculus
Blue whale
genre_facet Balaenoptera musculus
Blue whale
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5792883/
http://www.ncbi.nlm.nih.gov/pubmed/29410806
http://dx.doi.org/10.1098/rsos.170925
op_rights © 2018 The Authors.
http://creativecommons.org/licenses/by/4.0/
Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
op_rightsnorm CC-BY
op_doi https://doi.org/10.1098/rsos.170925
container_title Royal Society Open Science
container_volume 5
container_issue 1
container_start_page 170925
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