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Genetic datasets of tens of markers have been superseded through next-generation sequencing technology with genome-wide datasets of thousands of markers.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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Main Authors: 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.
Format: Article in Journal/Newspaper
Language:unknown
Published: Figshare 2018
Subjects:
Online Access: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
id ftdatacite:10.6084/m9.figshare.c.3980781.v2
record_format openpolar
spelling 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https://doi.org/10.6084/m9.figshare.c.3980781 2021-11-05T12:55:41Z Genetic datasets of tens of markers have been superseded through next-generation sequencing technology with genome-wide datasets of thousands of markers.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
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