作者: Michael Whitlock , Sam Yeaman , Tom R Booker
DOI: 10.1101/2020.02.06.937813
关键词:
摘要: Genome scans can potentially identify genetic loci involved in evolutionary processes such as local adaptation and gene flow. Here, we show that recombination rate variation across a neutrally evolving genome gives rise to different sampling distributions of mean FST [Formula], common population summary statistic. In particular, low regions the distribution [Formula] estimates may have longer tail than more highly recombining regions. Determining outliers from genome-wide without accounting for therefore increase frequency false positives be overly conservative ones. We perform genome-scans on simulated empirical Drosophila melanogaster datasets and, both cases, find patterns consistent with this neutral model. Our results highlight flaw design scan studies suggest rate, it is very difficult interpret genomic landscape statistics.