Supplementary material from "Conservation genetics to conservation genomics: a genome-wide assessment of blue whales ( Balaenoptera musculus ) in Australian feeding aggregations" ...

• Main Authors: Attard, Catherine R. M., B. Beheregaray, Luciano, Sandoval-Castillo, Jonathan, Curt S. Jenner, K., Gill, Peter C., Jenner, Micheline-Nicole M., Morrice, Margaret G., M. Möller, Luciana
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: The Royal Society 2018
• Subjects: Balaenoptera musculus; Blue whale
• Online Access: https://dx.doi.org/10.6084/m9.figshare.c.3980781.v1; https://rs.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_/3980781/1

Genetic datasets of tens of markers have been superseded through next-generation sequencing technology with genome-wide datasets of thousands of markers.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 SNPs, 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 ...