Pulse instabilities can shape virus-immune coevolution

David A. Kessler, Herbert Levine
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Abstract

Adaptive immune systems engage in an arms race with evolving viruses, trying to generate new responses to viral strains that continually move away from the set of genetically varying strains that have already elicited a functional immune response. It has been argued that this dynamical process can lead to a propagating pulse of an ever-changing viral population and concomitant immune response. Here, we introduce a new stochastic model of viral-host coevolution, taking into account finite-sized host populations and varying processes of immune “forgetting”. Using both stochastic and deterministic calculations, we show that there is indeed a possible pulse solution, but for a large host population size and for finite memory capacity, the pulse becomes unstable to the generation of new infections in its wake. This instability leads to an extended endemic infection pattern, demonstrating that the population-level behavior of virus infections can exhibit a wider range of behavior than had been previously realized.

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脉冲不稳定性可影响病毒与免疫的共同进化
适应性免疫系统与不断进化的病毒展开军备竞赛,试图对病毒株产生新的反应,而这些病毒株不断远离已经引起功能性免疫反应的基因变化株。有人认为,这种动态过程会导致不断变化的病毒群和相应的免疫反应脉冲的传播。在这里,我们引入了一个新的病毒-宿主协同进化随机模型,其中考虑到了有限大小的宿主种群和不同的免疫 "遗忘 "过程。通过随机和确定性计算,我们发现确实存在一种可能的脉冲解决方案,但在宿主种群规模较大和记忆容量有限的情况下,脉冲变得不稳定,会在其后产生新的感染。这种不稳定性导致了一种扩展的地方性感染模式,表明病毒感染的种群级行为可以表现出比以前认识到的更广泛的行为。
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