Predicting population genetic change in an autocorrelated random environment: Insights from a large automated experiment.

ABSTRACT: Most natural environments exhibit a substantial component of random variation, with a degree of temporal autocorrelation that defines the color of environmental noise. Such environmental fluctuations cause random fluctuations in natural selection, affecting the predictability of evolution. But despite long-standing theoretical interest in population genetics in stochastic environments, there is a dearth of empirical estimation of underlying parameters of this theory. More importantly, it is still an open question whether evolution in fluctuating environments can be predicted indirectly using simpler measures, which combine environmental time series with population estimates in constant environments. Here we address these questions by using an automated experimental evolution approach. We u

SUBMITTER: Rescan M 

PROVIDER: S-EPMC8259966 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature