The evolutionary dynamics of local adaptations under genetic rescue is determined by mutational load and polygenicity.

Inbred populations often suffer from increased mutational load and reduced fitness due to lower efficacy of purifying selection in groups with small effective population sizes. Genetic rescue (GR) is a conservation tool that is studied and deployed with the aim of increasing the fitness of such inbred populations by assisted migration of individuals from closely related outbred populations. The success of GR depends on several factors—such as their demographic history and distribution of dominance effects of mutations—that may vary across populations. While we understand the impact of these factors on the dynamics of GR, their impact on local adaptations remains unclear. To this end, we conduct a population genetics simulation study to evaluate the impact of trait complexity (Mendelian vs. polygenic), dominance effects, and demographic history on the efficacy of GR. We find that the impact on local adaptations depends highly on the mutational load at the time of GR, which is in turn shaped dynamically by interactions between demographic history and dominance effects of deleterious variation. Over time local adaptations are generally restored post-GR, though in the short term they are often compromised in the process of purging deleterious variation. We also show that while local adaptations are almost always fully restored, the degree to which ancestral genetic variation affecting the trait is replaced by donor variation can vary drastically and is especially high for complex traits. Our results provide insights on the impact of GR on trait evolution and considerations for the practical implementation of GR. [ABSTRACT FROM AUTHOR]