Migration is a ubiquitous life history trait with profound evolutionary and ecological consequences. Recent developments in telemetry and genomics, when combined, can bring significant insights on the migratory ecology of non-model organisms in the wild. Here, we used this integrative approach to document dispersal, gene flow and potential for local adaptation in anadromous Arctic Char from six rivers in the Canadian Arctic. Acoustic telemetry data from 124 tracked individuals indicated asymmetric dispersal, with a large proportion of fish (72%) tagged in three different rivers migrating up the same short river in the fall. Population genomics data from 6,136 SNP markers revealed weak, albeit significant, population differentiation (average pairwise FST = 0.011) and asymmetric dispersal was also revealed by population assignments. Approximate Bayesian Computation simulations suggested the presence of asymmetric gene flow, although in the opposite direction to that observed from the telemetry data, suggesting that dispersal does not necessarily lead to gene flow. These observations suggested that Arctic Char home to their natal river to spawn, but may overwinter in rivers with the shortest migratory route to minimize the costs of migration in non-breeding years. Genome scans and genetic-environment associations identified 90 outlier markers putatively under selection, 23 of which were in or near a gene. Of these, at least four were involved in muscle and cardiac function, consistent with the hypothesis that migratory harshness could drive local adaptation. Our study illustrates the power of integrating genomics and telemetry to study migrations in non-model organisms in logistically challenging environments such as the Arctic.

batch_1_miss25MigrantsRepAcousHistSexRem_9jun2016.recodeVCF file containing the genotypes for the baseline samples EXCLUDING potential migrants (total N = 273 individuals; see table 1 and manuscript for details of which sites were considered baseline and how the migrants were identified) at 6136 SNP markers retained after quality filters described in the manuscript.batch_1_miss25RepAcousHistSexRem_7jun2016.recodeVCF file containing the genotypes for the baseline samples INCLUDING potential migrants (total N = 318 individuals; see table 1 and manuscript for details of which sites were considered baseline and how the migrants were identified) at 6136 SNP markers retained after quality filters described in the manuscript.Data_6136filteredSNPs_allIndividualsVCF file containing genotype data at all 6136 SNP markers retained after quality filters and for all individuals retained for analyses (i.e. excluding individuals with more than 25% missing data; total N = 391).batch_1_miss25SexRepRem_7jun2016.recode.vcf