Adaptation in structured populations and fuzzy boundaries between hard and soft sweeps.

ABSTRACT: Selective sweeps, the genetic footprint of positive selection, have been extensively studied in the past decades, with dozens of methods developed to identify swept regions. However, these methods suffer from both false positive and false negative reports, and the candidates identified with different methods are often inconsistent with each other. We propose that a biological cause of this problem can be population subdivision, and a technical cause can be incomplete, or inaccurate, modeling of the dynamic process associated with sweeps. Here we used simulations to show how these effects interact and potentially cause bias. In particular, we show that sweeps maybe misclassified as either hard or soft, when the true time stage of a sweep and that implied, or pre-supposed, by the model do no

SUBMITTER: Zheng Y 

PROVIDER: S-EPMC6872172 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature