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Genetic Variability and Structuring of Arctic Charr (Salvelinus alpinus) Populations in Northern Fennoscandia

Variation in presumably neutral genetic markers can inform us about evolvability, historical effective population sizes and phylogeographic history of contemporary populations. We studied genetic variability in 15 microsatellite loci in six native landlocked Arctic charr (Salvelinus alpinus) populat...

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Detalles Bibliográficos
Autores principales: Shikano, Takahito, Järvinen, Antero, Marjamäki, Paula, Kahilainen, Kimmo K., Merilä, Juha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4607410/
https://www.ncbi.nlm.nih.gov/pubmed/26468642
http://dx.doi.org/10.1371/journal.pone.0140344
Descripción
Sumario:Variation in presumably neutral genetic markers can inform us about evolvability, historical effective population sizes and phylogeographic history of contemporary populations. We studied genetic variability in 15 microsatellite loci in six native landlocked Arctic charr (Salvelinus alpinus) populations in northern Fennoscandia, where this species is considered near threatened. We discovered that all populations were genetically highly (mean F (ST) ≈ 0.26) differentiated and isolated from each other. Evidence was found for historical, but not for recent population size bottlenecks. Estimates of contemporary effective population size (N (e)) ranged from seven to 228 and were significantly correlated with those of historical N (e) but not with lake size. A census size (N (C)) was estimated to be approximately 300 individuals in a pond (0.14 ha), which exhibited the smallest N (e) (i.e. N (e)/N (C) = 0.02). Genetic variability in this pond and a connected lake is severely reduced, and both genetic and empirical estimates of migration rates indicate a lack of gene flow between them. Hence, albeit currently thriving, some northern Fennoscandian populations appear to be vulnerable to further loss of genetic variability and are likely to have limited capacity to adapt if selection pressures change.