Resolving fine-scale population structure and fishery exploitation using sequenced microsatellites in a northern fish ...

• Main Authors: Layton, Kara K.S., Dempson, J. Brian, Snelgrove, Paul V.R., Duffy, Steven J., Messmer, Amber M., Paterson, Ian, Jeffery, Nicholas W., Kess, Tony, Horne, John B., Salisbury, Sarah J., Ruzzante, Daniel E., Bentzen, Paul, Côté, David, Nugent, Cameron M., Ferguson, Moira M., Leong, Jong S., Koop, Ben F., Bradbury, Ian R.
• Format: Dataset
• Language: English
• Published: Dryad 2020
• Subjects: genome-wide polymorphism; sequenced microsatellites; Genetic assignment; mixed stock analysis; Arctic; Canada; Arctic charr; Salvelinus alpinus
• Online Access: https://dx.doi.org/10.5061/dryad.b5mkkwh8q; https://datadryad.org/stash/dataset/doi:10.5061/dryad.b5mkkwh8q

The resiliency of populations and species to environmental change is dependent on the maintenance of genetic diversity, and as such quantifying diversity is central to combatting ongoing wide spread reductions in biodiversity. With the advent of next-generation sequencing, several methods now exist for resolving fine-scale population structure, but the comparative performance of these methods for genetic assignment has rarely been tested. Here we evaluate the performance of sequenced microsatellites and a single nucleotide polymorphism (SNP) array to resolve fine-scale population structure in a critically important salmonid in northeastern Canada, Arctic charr (Salvelinus alpinus). We also assess the utility of sequenced microsatellites for fisheries applications by quantifying the spatial scales of movement and exploitation through genetic assignment of fishery samples to rivers of origin and comparing these results with a 29-year tagging dataset. Self-assignment and simulation-based analyses of 111 ... : Files consist of Rubias and genepop input files for microsatellite and SNP data ...