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Genome scans for the contemporary response to selection in quantitative traits
Author(s) -
Lotterhos Katie E.,
Schaal Sara M.
Publication year - 2014
Publication title -
molecular ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.619
H-Index - 225
eISSN - 1365-294X
pISSN - 0962-1083
DOI - 10.1111/mec.12853
Subject(s) - biology , quantitative trait locus , evolutionary biology , selection (genetic algorithm) , allele frequency , locus (genetics) , genome scan , natural selection , genome , selective sweep , genetics , allele , population , genetic architecture , local adaptation , quantitative genetics , trait , genetic variation , gene , microsatellite , machine learning , demography , sociology , computer science , haplotype , programming language
Genome scans have been an important approach for discovering historical signatures of selection in both model and nonmodel species. An exciting new experimental design for genome scans is to measure the change in allele frequency before and after contemporary selection within a generation, from a single population. The most widely‐used methods, however, have two major limitations: they are based on testing one locus at a time, and they only have power to uncover loci that have evolved under relatively strong selection. On the other hand, complex quantitative traits are common in nature and are caused by several loci of small effect. Selection on a quantitative trait at the phenotypic level is predicted to be accompanied by subtle allele frequency changes in many loci that covary (a polygenic soft sweep), rather than a large, single‐effect allele (a selective sweep). In this issue of Molecular Ecology , Bourret et al . (2014) measure the contemporary response to natural selection across the genome in multiple cohorts of A tlantic salmon during their first year at sea. They introduce a multilocus framework based on groups of markers that covary in their genotypic distribution. While the traditional, single‐locus approach did not find evidence for repeated patterns of selection, the multivariate approach found that a group of covarying SNP s was selected for in different cohorts at one site. Their multilocus framework has potential to be a more fruitful approach for uncovering the genomic basis of adaptation in quantitative traits, although caution should be applied as the framework has yet to be validated with simulated data.