Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA.
Department of Biology, New York University, New York, NY, USA.
J R Soc Interface. 2024 Aug;21(217):20240195. doi: 10.1098/rsif.2024.0195. Epub 2024 Aug 21.
The coevolutionary dynamics of lytic viruses and microbes with CRISPR-Cas immunity exhibit alternations between sustained host control of viral proliferation and major viral epidemics in previous computational models. These dynamics have yet to be observed in other host-pathogen systems. Here, we address the breakdown of control and transition to large outbreaks with a stochastic eco-evolutionary model. We establish the role of host density-dependent competition in punctuated virus-driven succession and associated diversity trends that concentrate escape pathways during control phases. Using infection and escape networks, we derive the viral emergence probability whose fluctuations of increasing size and frequency characterize the approach to large outbreaks. We explore alternation probabilities as a function of non-dimensional parameters related to the probability of viral escape and host competition. Our results demonstrate how emergent feedbacks between host competition and viral diversification render the host immune structure fragile, potentiating a dynamical transition to large epidemics.
溶瘤病毒和带有 CRISPR-Cas 免疫的微生物的协同进化动力学在前瞻性计算模型中表现为宿主对病毒增殖的持续控制与重大病毒流行之间的交替。在其他宿主-病原体系统中,这些动态尚未被观察到。在这里,我们使用随机生态进化模型来解决控制的崩溃和向大规模爆发的转变问题。我们确定了宿主密度依赖性竞争在爆发驱动的连续和相关多样性趋势中的作用,这些趋势在控制阶段集中了逃逸途径。通过感染和逃逸网络,我们推导出病毒出现的概率,其大小和频率的波动特征是向大规模爆发的逼近。我们探讨了作为与病毒逃逸和宿主竞争概率相关的无量纲参数的函数的交替概率。我们的研究结果表明,宿主竞争和病毒多样化之间的新兴反馈如何使宿主免疫结构变得脆弱,从而促进向大规模流行的动态转变。