Interfaculty Bioinformatics Unit, University of Bern, Bern, 3012, Switzerland.
Computational and Molecular Population Genetics Laboratory, Institute of Ecology and Evolution, University of Bern, Bern, 3012, Switzerland.
Evolution. 2020 Aug;74(8):1640-1653. doi: 10.1111/evo.14038. Epub 2020 Jun 28.
Experimental and theoretical studies have highlighted the impact of gene flow on the probability of evolutionary rescue in structured habitats. Mathematical modeling and simulations of evolutionary rescue in spatially or otherwise structured populations showed that intermediate migration rates can often maximize the probability of rescue in gradually or abruptly deteriorating habitats. These theoretical results corroborate the positive effect of gene flow on evolutionary rescue that has been identified in experimental yeast populations. The observations that gene flow can facilitate adaptation are in seeming conflict with traditional population genetics results that show that gene flow usually hampers (local) adaptation. Identifying conditions for when gene flow facilitates survival chances of populations rather than reducing them remains a key unresolved theoretical question. We here present a simple analytically tractable model for evolutionary rescue in a two-deme model with gene flow. Our main result is a simple condition for when migration facilitates evolutionary rescue, as opposed as no migration. We further investigate the roles of asymmetries in gene flow and/or carrying capacities, and the effects of density regulation and local growth rates on evolutionary rescue.
实验和理论研究强调了基因流对结构生境中进化拯救概率的影响。对空间或其他结构种群中进化拯救的数学建模和模拟表明,中间迁移率通常可以最大限度地提高在逐渐或突然恶化的栖息地中进化拯救的概率。这些理论结果证实了在实验酵母种群中发现的基因流对进化拯救的积极影响。基因流可以促进适应的观察结果与传统的群体遗传学结果相矛盾,这些结果表明基因流通常会阻碍(局部)适应。确定基因流何时有助于而不是减少种群的生存机会仍然是一个关键的未解决的理论问题。我们在这里提出了一个简单的解析可处理的模型,用于具有基因流的两域模型中的进化拯救。我们的主要结果是一个简单的条件,当迁移促进进化拯救时,而不是没有迁移。我们进一步研究了基因流和/或承载能力的不对称性、密度调节和局部增长率对进化拯救的作用。