Supplementary material from "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Genetic datasets of tens of markers have been superseded through next-generation sequencing technology with genome-wide datasets of thousands of markers.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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ftdatacite:10.6084/m9.figshare.c.3980781.v2 2023-05-15T15:36:20+02:00 Supplementary material from "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 K. Curt S. Jenner Gill, Peter C. Micheline-Nicole M. Jenner Morrice, Margaret G. Möller, Luciana M. 2018 https://dx.doi.org/10.6084/m9.figshare.c.3980781.v2 https://figshare.com/collections/Supplementary_material_from_Conservation_genetics_to_conservation_genomics_a_genome-wide_assessment_of_blue_whales_i_Balaenoptera_musculus_i_in_Australian_feeding_aggregations_/3980781/2 unknown Figshare https://dx.doi.org/10.1098/rsos.170925 https://dx.doi.org/10.6084/m9.figshare.c.3980781 CC BY 4.0 https://creativecommons.org/licenses/by/4.0 CC-BY Genetics FOS Biological sciences Ecology 60408 Genomics Collection article 2018 ftdatacite https://doi.org/10.6084/m9.figshare.c.3980781.v2 https://doi.org/10.1098/rsos.170925 https://doi.org/10.6084/m9.figshare.c.3980781 2021-11-05T12:55:41Z Genetic datasets of tens of markers have been superseded through next-generation sequencing technology with genome-wide datasets of thousands of markers.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. Article in Journal/Newspaper Balaenoptera musculus Blue whale DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Genetics FOS Biological sciences Ecology 60408 Genomics |
spellingShingle |
Genetics FOS Biological sciences Ecology 60408 Genomics Attard, Catherine R. M. Beheregaray, Luciano B. Sandoval-Castillo, Jonathan K. Curt S. Jenner Gill, Peter C. Micheline-Nicole M. Jenner Morrice, Margaret G. Möller, Luciana M. Supplementary material from "From conservation genetics to conservation genomics: a genome-wide assessment of blue whales ( Balaenoptera musculus ) in Australian feeding aggregations" |
topic_facet |
Genetics FOS Biological sciences Ecology 60408 Genomics |
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 |
Article in Journal/Newspaper |
author |
Attard, Catherine R. M. Beheregaray, Luciano B. Sandoval-Castillo, Jonathan K. Curt S. Jenner Gill, Peter C. Micheline-Nicole M. Jenner Morrice, Margaret G. Möller, Luciana M. |
author_facet |
Attard, Catherine R. M. Beheregaray, Luciano B. Sandoval-Castillo, Jonathan K. Curt S. Jenner Gill, Peter C. Micheline-Nicole M. Jenner Morrice, Margaret G. Möller, Luciana M. |
author_sort |
Attard, Catherine R. M. |
title |
Supplementary material from "From conservation genetics to conservation genomics: a genome-wide assessment of blue whales ( Balaenoptera musculus ) in Australian feeding aggregations" |
title_short |
Supplementary material from "From conservation genetics to conservation genomics: a genome-wide assessment of blue whales ( Balaenoptera musculus ) in Australian feeding aggregations" |
title_full |
Supplementary material from "From conservation genetics to conservation genomics: a genome-wide assessment of blue whales ( Balaenoptera musculus ) in Australian feeding aggregations" |
title_fullStr |
Supplementary material from "From conservation genetics to conservation genomics: a genome-wide assessment of blue whales ( Balaenoptera musculus ) in Australian feeding aggregations" |
title_full_unstemmed |
Supplementary material from "From conservation genetics to conservation genomics: a genome-wide assessment of blue whales ( Balaenoptera musculus ) in Australian feeding aggregations" |
title_sort |
supplementary material from "from conservation genetics to conservation genomics: a genome-wide assessment of blue whales ( balaenoptera musculus ) in australian feeding aggregations" |
publisher |
Figshare |
publishDate |
2018 |
url |
https://dx.doi.org/10.6084/m9.figshare.c.3980781.v2 https://figshare.com/collections/Supplementary_material_from_Conservation_genetics_to_conservation_genomics_a_genome-wide_assessment_of_blue_whales_i_Balaenoptera_musculus_i_in_Australian_feeding_aggregations_/3980781/2 |
genre |
Balaenoptera musculus Blue whale |
genre_facet |
Balaenoptera musculus Blue whale |
op_relation |
https://dx.doi.org/10.1098/rsos.170925 https://dx.doi.org/10.6084/m9.figshare.c.3980781 |
op_rights |
CC BY 4.0 https://creativecommons.org/licenses/by/4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.c.3980781.v2 https://doi.org/10.1098/rsos.170925 https://doi.org/10.6084/m9.figshare.c.3980781 |
_version_ |
1766366673974067200 |