School of Mathematics and Statistics, University of Sheffield, Sheffield S3 7RH, UK
Department of Mathematical Sciences, University of Bath, Claverton Down, Bath BA2 7AY, UK.
Proc Biol Sci. 2017 Nov 15;284(1866). doi: 10.1098/rspb.2017.1615.
Fluctuating selection driven by coevolution between hosts and parasites is important for the generation of host and parasite diversity across space and time. Theory has focused primarily on infection genetics, with highly specific 'matching-allele' frameworks more likely to generate fluctuating selection dynamics (FSD) than 'gene-for-gene' (generalist-specialist) frameworks. However, the environment, ecological feedbacks and life-history characteristics may all play a role in determining when FSD occurs. Here, we develop eco-evolutionary models with explicit ecological dynamics to explore the ecological, epidemiological and host life-history drivers of FSD. Our key result is to demonstrate for the first time, to our knowledge, that specificity between hosts and parasites is not required to generate FSD. Furthermore, highly specific host-parasite interactions produce unstable, less robust stochastic fluctuations in contrast to interactions that lack specificity altogether or those that vary from generalist to specialist, which produce predictable limit cycles. Given the ubiquity of ecological feedbacks and the variation in the nature of specificity in host-parasite interactions, our work emphasizes the underestimated potential for host-parasite coevolution to generate fluctuating selection.
由宿主和寄生虫之间的协同进化驱动的波动选择对于宿主和寄生虫在时间和空间上的多样性产生很重要。理论主要集中在感染遗传学上,高度特异性的“匹配等位基因”框架比“基因对基因”(广义专家)框架更有可能产生波动选择动态(FSD)。然而,环境、生态反馈和生活史特征都可能在确定何时发生 FSD 方面发挥作用。在这里,我们开发了具有明确生态动态的生态进化模型,以探索 FSD 的生态、流行病学和宿主生活史驱动因素。我们的主要结果是首次证明,就我们所知,宿主和寄生虫之间的特异性不是产生 FSD 的必要条件。此外,高度特异性的宿主-寄生虫相互作用产生不稳定、不那么稳健的随机波动,与完全缺乏特异性的相互作用或从广义专家到专家的相互作用形成对比,后者产生可预测的极限环。鉴于生态反馈的普遍性和宿主-寄生虫相互作用中特异性的性质变化,我们的工作强调了宿主-寄生虫协同进化产生波动选择的潜力被低估。