A1 Refereed original research article in a scientific journal
Association Mapping Based on a Common-Garden Migration Experiment Reveals Candidate Genes for Migration Tendency in Brown Trout
Authors: Lemopoulos A, Uusi-Heikkilä S, Hyvärinen P, Alioravainen N, Prokkola JM, Elvidge CK, Vasemägi A, Vainikka A
Publisher: GENETICS SOCIETY AMERICA
Publication year: 2019
Journal: G3: genes, genomes, genetics
Journal name in source: G3-GENES GENOMES GENETICS
Journal acronym: G3-GENES GENOM GENET
Volume: 9
Issue: 9
First page : 2887
Last page: 2896
Number of pages: 10
ISSN: 2160-1836
eISSN: 2160-1836
DOI: https://doi.org/10.1534/g3.119.400369
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/42718099
A better understanding of the environmental and genetic contribution to migratory behavior and the evolution of traits linked to migration is crucial for fish conservation and fisheries management. Up to date, a few genes with unequivocal influence on the adoption of alternative migration strategies have been identified in salmonids. Here, we used a common garden set-up to measure individual migration distances of generally highly polymorphic brown trout Salmo trutta from two populations. Fish from the assumedly resident population showed clearly shorter migration distances than the fish from the assumed migratory population at the ages of 2 and 3 years. By using two alternative analytical pipelines with 22186 and 18264 SNPs obtained through RAD-sequencing, we searched for associations between individual migration distance, and both called genotypes and genotype probabilities. None of the SNPs showed statistically significant individual effects on migration after correction for multiple testing. By choosing a less stringent threshold, defined as an overlap of the top 0.1% SNPs identified by the analytical pipelines, GAPIT and Angsd, we identified eight candidate genes that are potentially linked to individual migration distance. While our results demonstrate large individual and population level differences in migration distances, the detected genetic associations were weak suggesting that migration traits likely have multigenic control.
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