MacPherson Ailene, Otto Sarah P
Department of Zoology & Biodiversity Research Centre, University of British Columbia, Vancouver, BC, Canada V6T 1Z4.
Theor Popul Biol. 2018 Jul;122:137-148. doi: 10.1016/j.tpb.2017.12.003. Epub 2017 Dec 28.
Host-parasite interactions in the form of infectious diseases are a topic of interest in both evolutionary biology and public health. Both fields have relied on mathematical models to predict and understand the dynamics and consequences of these interactions. Yet few models explicitly incorporate both epidemiological and coevolutionary dynamics, allowing for genetic variation in both hosts and parasites. By comparing a matching-alleles model of coevolution, a susceptible-infected-recovered-susceptible compartmental model from epidemiology, and a combined coevolutionary-epidemiology model we assess the effect of the coevolutionary feedback on the epidemiological dynamics and vice versa. We find that Red-Queen cycles are not robust in an epidemiological framework and that coevolutionary interactions can alter the conditions under which epidemic cycles arise. Incorporating both explicit epidemiology and genetic diversity may have important implications for the maintenance of sexual reproduction as well as disease management.
传染病形式的宿主 - 寄生虫相互作用是进化生物学和公共卫生领域都感兴趣的话题。这两个领域都依赖数学模型来预测和理解这些相互作用的动态和后果。然而，很少有模型明确纳入流行病学和共同进化动态，考虑宿主和寄生虫双方的遗传变异。通过比较共同进化的匹配等位基因模型、流行病学中的易感 - 感染 - 恢复 - 易感 compartmental 模型以及联合的共同进化 - 流行病学模型，我们评估了共同进化反馈对流行病学动态的影响，反之亦然。我们发现红皇后循环在流行病学框架中并不稳健，并且共同进化相互作用可以改变流行病循环出现的条件。纳入明确的流行病学和遗传多样性可能对有性生殖的维持以及疾病管理具有重要意义。
