Genetic Diversity and Connectivity of Southern Right Whales (Eubalaena australis) Found in the Brazil and Chile-Peru Wintering Grounds and the South Georgia (Islas Georgias del Sur) Feeding Ground
Language English Country United States Media print
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
32347944
PubMed Central
PMC7238439
DOI
10.1093/jhered/esaa010
PII: 5826886
Knihovny.cz E-resources
- Keywords
- connectivity, gene flow, migration, population structure,
- MeSH
- Genetic Variation * MeSH
- Genotyping Techniques MeSH
- Animal Migration MeSH
- Islands MeSH
- Animal Distribution MeSH
- Feeding Behavior MeSH
- Whales genetics MeSH
- Animals MeSH
- Check Tag
- Male MeSH
- Female MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Brazil MeSH
- Chile MeSH
- Islands MeSH
- Peru MeSH
As species recover from exploitation, continued assessments of connectivity and population structure are warranted to provide information for conservation and management. This is particularly true in species with high dispersal capacity, such as migratory whales, where patterns of connectivity could change rapidly. Here we build on a previous long-term, large-scale collaboration on southern right whales (Eubalaena australis) to combine new (nnew) and published (npub) mitochondrial (mtDNA) and microsatellite genetic data from all major wintering grounds and, uniquely, the South Georgia (Islas Georgias del Sur: SG) feeding grounds. Specifically, we include data from Argentina (npub mtDNA/microsatellite = 208/46), Brazil (nnew mtDNA/microsatellite = 50/50), South Africa (nnew mtDNA/microsatellite = 66/77, npub mtDNA/microsatellite = 350/47), Chile-Peru (nnew mtDNA/microsatellite = 1/1), the Indo-Pacific (npub mtDNA/microsatellite = 769/126), and SG (npub mtDNA/microsatellite = 8/0, nnew mtDNA/microsatellite = 3/11) to investigate the position of previously unstudied habitats in the migratory network: Brazil, SG, and Chile-Peru. These new genetic data show connectivity between Brazil and Argentina, exemplified by weak genetic differentiation and the movement of 1 genetically identified individual between the South American grounds. The single sample from Chile-Peru had an mtDNA haplotype previously only observed in the Indo-Pacific and had a nuclear genotype that appeared admixed between the Indo-Pacific and South Atlantic, based on genetic clustering and assignment algorithms. The SG samples were clearly South Atlantic and were more similar to the South American than the South African wintering grounds. This study highlights how international collaborations are critical to provide context for emerging or recovering regions, like the SG feeding ground, as well as those that remain critically endangered, such as Chile-Peru.
Área de Proteção Ambiental Anhatomirim ICMBio MMA Florianópolis SC Brazil
Biology Department Swarthmore College Swarthmore PA
Biology Department Woods Hole Oceanographic Institution Woods Hole MA
British Antarctic Survey Cambridge UK
Centro de Conservación Cetacea Casilla 19178 Correo 19 Santiago Chile
Department of Biology and Ecology University of Ostrava Ostrava Czech Republic
Department of Biology Saint Mary's University Halifax Nova Scotia Canada
Department of Statistics University of Auckland Auckland New Zealand
Department of Zoology Faculty of Science Charles University Prague Czech Republic
Dyer Island Conservation Trust Great White House Kleinbaai Gansbaai South Africa
Grupo de Estudos de Mamíferos Aquáticos do Rio Grande do Sul Torres RS Brazil
IFAW 87 90 Albert Embankment London UK
Instituto Aqualie Juiz de Fora MG Brazil
Instituto Australis Imbituba Santa Catarina Brazil
Instituto de Ciencias Biomédicas Universidad Andrés Bello Chile
Instituto de Conservación de Ballenas Ciudad Autónoma de Buenos Aires Argentina
Ivanhoe Sea Safaris Gansbaai South Africa
Joint Institute for the Study of the Atmosphere and Ocean University of Washington Seattle WA
Marine Ecology and Telemetry Research Seabeck WA
Marine Mammal Institute and Department of Fisheries and Wildlife Oregon State University Newport OR
School of Biological Sciences University of Auckland Auckland New Zealand
School of Biological Sciences University of Utah Salt Lake City UT
School of Biology University of St Andrews St Andrews UK
School of Mathematics and Statistics Victoria University of Wellington Wellington New Zealand
Scottish Association for Marine Science Oban Argyll Scotland
Section of Marine Mammal Research Department of Bioscience Aarhus University Aarhus Denmark
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