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ddRAD genotyping reveals hierarchical genetic population structure in anadromous Arctic char (Salvelinus alpinus) in the Lower Northwest Passage, Nunavut
Contemporary intraspecific patterns of genetic variation reflect the historical effects of population subdivision–expansion and forces like drift, gene flow, and selection. We investigated the population structure of anadromous Arctic char (Salvelinus alpinus) in the Lower Northwest Passage (LNWP),...
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Published in: | Canadian journal of fisheries and aquatic sciences 2021-04, Vol.78 (4), p.457-471 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Contemporary intraspecific patterns of genetic variation reflect the historical effects of population subdivision–expansion and forces like drift, gene flow, and selection. We investigated the population structure of anadromous Arctic char (Salvelinus alpinus) in the Lower Northwest Passage (LNWP), Nunavut, using 3074 genome-wide single nucleotide polymorphisms markers (SNPs). Overall, the genetic differentiation was weak to moderate among 18 sampling locales (global F
ST
= 0.037). Populations were structured hierarchically, with a deeper genetic division between King William Island (global F
ST
= 0.018) and mainland populations ∼200 km away to the south (global F
ST
= 0.018), and some evidence of genetic subgroups within the former. These findings suggest a role for char migratory behaviour in shaping contemporary genetic population structure, with demographic modelling favouring an isolation with migration over a strict isolation scenario. Twenty-two SNPs were identified as potentially under divergent selection with putative functions including neurotransmission and bone development and growth during late embryogenesis. Our study is the first survey of Arctic char in the LNWP using genomics and provides baseline data for the development of a sustainable fishery within this region. |
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ISSN: | 0706-652X 1205-7533 |
DOI: | 10.1139/cjfas-2020-0069 |