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Historical dimensions of population structure in a continuously distributed marine species: The case of the endemic Chilean dolphin
Pérez-Alvarez, M.J.; Olavarría, C.; Moraga, R.; Baker, C.S.; Hamner, R.M.; Poulin, E. (2016). Historical dimensions of population structure in a continuously distributed marine species: The case of the endemic Chilean dolphin. NPG Scientific Reports 6(35507): 11 pp. http://dx.doi.org/10.1038/srep35507
In: Scientific Reports (Nature Publishing Group). Nature Publishing Group: London. ISSN 2045-2322; e-ISSN 2045-2322
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| Auteurs | | Top |
- Pérez-Alvarez, M.J.
- Olavarría, C.
- Moraga, R.
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- Baker, C.S.
- Hamner, R.M.
- Poulin, E.
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| Abstract |
The complementarity of historical and contemporary processes contributes to understanding the genetic structure of continuously distributed marine species with high dispersal capabilities. Cephalorhynchus eutropia, has a continuous coastal distribution with strong genetic differentiation identified by nuclear DNA markers. We explored the historical dimension of this genetic differentiation between northern and southern populations to evaluate phylogeographic structure. Additionally, we conducted mtDNA and microsatellite analyses to detect past and recent demographic changes. The southern population was characterized by lower genetic diversity with a signal of population expansion, likely associated with ice retreat and habitat extension after the Last Glacial Maximum (LGM). In contrast, structure within the northern population was more consistent with stable historical population size. Approximate Bayesian Computation analyses suggested that during the LGM, C. eutropia persisted in the northern area; while the south was colonized by dispersal similar to 11,000 years ago followed by population expansion. This study shows that Chilean dolphin population structure is consistent with predictions from the Expansion-Contraction biogeographic model, with a poleward post-glacial shift revealed in current genetic structure. The results also confirm the validity of the population units previously identified, demonstrating their historical origin and highlighting the utility of integrating genetic markers with different temporal scale resolutions. |
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