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An evolutionarily distinct ringed seal in the Ilulissat Icefjord
Aqqalu Rosing-Asvid1, Ari Löytynoja2, Paolo Momigliano3,4
1Greenland Institute of Natural Resources, Nuuk, Greenland.
Molecular Ecology
|October 19, 2023
Summary
Arctic ringed seals in Greenland reveal a unique ecotype, the Kangia seal, diverging 240,000 years ago. This discovery challenges the view of polar regions as evolutionary dead zones and highlights hidden biodiversity.
Area of Science:
- Marine Mammal Genetics
- Arctic Ecology
- Evolutionary Biology
Background:
- Polar regions exhibit low diversification rates, with Arctic ringed seals (Pusa hispida hispida) traditionally considered panmictic.
- Local indigenous knowledge and studies on body size variation suggest regional differences in ringed seals, but their nature (plasticity, morphs, or ecotypes) remains unclear.
Purpose of the Study:
- To investigate the existence of a unique ringed seal ecotype in Greenland's Ilulissat Icefjord (Kangia).
- To combine genomic, biologging, and survey data to characterize this potential ecotype and its evolutionary history.
Main Methods:
- Genomic analysis to determine population divergence and gene flow.
- Biologging and survey data to assess phenotypic and behavioral uniqueness.
- Analysis of genomic regions under selection, including candidate genes for specific traits.
Main Results:
- Identification of a distinct ringed seal ecotype in the Ilulissat Icefjord, diverging approximately 240,000 years ago.
- Genomic evidence of secondary contact post-Last Glacial Maximum and ongoing gene flow.
- Detection of strong selection in multiple genomic regions, including genes related to coloration, growth, and osmoregulation, explaining unique traits.
Conclusions:
- The study identifies 'hidden' diversity and adaptations within Arctic ringed seals, challenging the 'evolutionary freezer' hypothesis for polar regions.
- Highlights the importance of integrating indigenous knowledge with scientific research to uncover unique ecotypes.
- Emphasizes the need to identify distinct populations for understanding differential responses to environmental change.
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