Uncovering the genetic signature of quantitative trait evolution with replicated time series data.

ABSTRACT: The genetic architecture of adaptation in natural populations has not yet been resolved: it is not clear to what extent the spread of beneficial mutations (selective sweeps) or the response of many quantitative trait loci drive adaptation to environmental changes. Although much attention has been given to the genomic footprint of selective sweeps, the importance of selection on quantitative traits is still not well studied, as the associated genomic signature is extremely difficult to detect. We propose 'Evolve and Resequence' as a promising tool, to study polygenic adaptation of quantitative traits in evolving populations. Simulating replicated time series data we show that adaptation to a new intermediate trait optimum has three characteristic phases that are reflected on the genomic lev

SUBMITTER: Franssen SU 

PROVIDER: S-EPMC5176121 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature