2013
DOI: 10.1007/s10641-013-0210-y
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Geographic influences on fine-scale, hierarchical population structure in northern Canadian populations of anadromous Arctic Char (Salvelinus alpinus)

Abstract: Assessments of fine-scale population structure in natural populations are important for understanding aspects of ecology, life history variation and evolutionary history and can provide novel insights into resource management. Although Arctic char, Salvelinus alpinus, represent one of the most culturally and commercially important salmonids in the Canadian Arctic, fine-scale assessments of genetic structure in northern populations of this species are rare. In this study, we assessed population structure in ana… Show more

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Cited by 16 publications
(18 citation statements)
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References 109 publications
(117 reference statements)
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“…Our study represents the first assessment of genetic stock structure in Arctic char from the Darnley Bay region of the Northwest Territories, focusing on the two river systems contributing to an important fishery for the community of Paulatuk. Overall, this study revealed significant genetic structure between the baseline sampling locations assessed, similar to that which has been reported in other areas of the Canadian Arctic (Moore et al, 2013;Harris et al, 2014). We did, however, find elevated levels of genetic divergence that were greater than expected on the basis of geographic distance alone (e.g., the ~6 km fluvial distance between the LAKE-A and LAKE-B samples), which suggests the existence of differing life history variants (e.g., landlocked or freshwater-resident) of Arctic char in the Hornaday River system, as discussed below.…”
Section: Discussionsupporting
confidence: 85%
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“…Our study represents the first assessment of genetic stock structure in Arctic char from the Darnley Bay region of the Northwest Territories, focusing on the two river systems contributing to an important fishery for the community of Paulatuk. Overall, this study revealed significant genetic structure between the baseline sampling locations assessed, similar to that which has been reported in other areas of the Canadian Arctic (Moore et al, 2013;Harris et al, 2014). We did, however, find elevated levels of genetic divergence that were greater than expected on the basis of geographic distance alone (e.g., the ~6 km fluvial distance between the LAKE-A and LAKE-B samples), which suggests the existence of differing life history variants (e.g., landlocked or freshwater-resident) of Arctic char in the Hornaday River system, as discussed below.…”
Section: Discussionsupporting
confidence: 85%
“…For example, values of F ST between our LAKE-A or LAKE-B samples and known anadromous samples ranged from 0.141 to 0.204, which is magnitudes higher than values in comparisons between known anadromous samples used in this study and in other anadromous stocks of Arctic char from other regions in the Canadian North (Moore et al, 2013;Harris et al, 2014, in press). For example, pairwise estimates of F ST among samples of anadromous Arctic char from Cumberland Sound averaged ~0.02-0.04 (Moore et al, 2013;Harris et al, 2014) and in the Cambridge Bay region of Nunavut, estimates were even lower (~0.01-0.02, Harris et al, in press). Additionally Bayesian clustering and DAPC analyses clearly highlight the divergence of the LAKE-A and LAKE-B samples from known anadromous or coastal samples.…”
Section: Genetic Stock Structure and The Potential For Variant Life Hmentioning
confidence: 99%
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“…Within and among populations of freshwater and anadromous salmonids (salmon, trout, char, and their relatives), for example, the hydrology of aquatic habitats can impact the movement of individuals and thus dispersal and subsequent gene flow (Guy et al 2008;Whiteley et al 2010). Hydrological features such as stream connectivity and complexity (Taylor et al 2011, physical barriers to dispersal (Hänfling and Weetman 2006;Gomez-Uchida et al 2009), and the physical distance between occupied habitats (Koizumi et al 2006a;Harris et al 2014) have all been shown to impact biological connectivity.…”
Section: Introductionmentioning
confidence: 99%