Section of Population Genetics, Technical University of Munich, Freising, Germany.
Department of Mathematics and Statistics, Queen's University, Kingston, Ontario, Canada.
BMC Evol Biol. 2019 Dec 19;19(1):230. doi: 10.1186/s12862-019-1556-3.
Coevolution is a selective process of reciprocal adaptation in hosts and parasites or in mutualistic symbionts. Classic population genetics theory predicts the signatures of selection at the interacting loci of both species, but not the neutral genome-wide polymorphism patterns. To bridge this gap, we build an eco-evolutionary model, where neutral genomic changes over time are driven by a single selected locus in hosts and parasites via a simple biallelic gene-for-gene or matching-allele interaction. This coevolutionary process may lead to cyclic changes in the sizes of the interacting populations.
We investigate if and when these changes can be observed in the site frequency spectrum of neutral polymorphisms from host and parasite full genome data. We show that changes of the host population size are too smooth to be observable in its polymorphism pattern over the course of time. Conversely, the parasite population may undergo a series of strong bottlenecks occurring on a slower relative time scale, which may lead to observable changes in a time series sample. We also extend our results to cases with 1) several parasites per host accelerating relative time, and 2) multiple parasite generations per host generation slowing down rescaled time.
Our results show that time series sampling of host and parasite populations with full genome data are crucial to understand if and how coevolution occurs. This model provides therefore a framework to interpret and draw inference from genome-wide polymorphism data of interacting species.
共进化是宿主和寄生虫之间或互惠共生体之间相互适应的选择过程。经典的群体遗传学理论预测了相互作用的两个物种的受选择位点的特征,但不能预测中性全基因组多态性模式。为了弥补这一差距,我们构建了一个生态进化模型,其中宿主和寄生虫中的一个受选择的基因座通过简单的双等位基因基因对基因或匹配等位基因相互作用,驱动中性基因组随时间的变化。这种共进化过程可能导致相互作用种群大小的周期性变化。
我们研究了这些变化是否以及何时可以在宿主和寄生虫全基因组数据的中性多态性的位点频率谱中观察到。我们表明,宿主种群大小的变化过于平滑,以至于在其多态性模式中无法在整个时间过程中观察到。相反,寄生虫种群可能会经历一系列相对较慢的强烈瓶颈,这可能会导致时间序列样本中发生可观察到的变化。我们还将我们的结果扩展到以下情况:1)每个宿主的多个寄生虫加速相对时间,以及 2)每个宿主世代的多个寄生虫世代减缓缩放时间。
我们的结果表明,对宿主和寄生虫群体进行全基因组数据的时间序列采样对于理解共进化是否发生以及如何发生至关重要。因此,该模型为解释和从相互作用物种的全基因组多态性数据中得出推论提供了一个框架。