Abstract
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.
Original language | English |
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Pages (from-to) | 263-276 |
Number of pages | 14 |
Journal | Journal of Heredity |
Volume | 111 |
Issue number | 3 |
Early online date | 29 Apr 2020 |
DOIs | |
Publication status | Published - May 2020 |
Keywords
- Population structure
- Connectivity
- Migration
- Gene flow