Eco-evolutionary dynamics of adapting pathogens and host immunity.

IF 6.4 1区 生物学 Q1 BIOLOGY
eLife Pub Date : 2024-12-27 DOI:10.7554/eLife.97350
Pierre Barrat-Charlaix, Richard A Neher
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引用次数: 0

Abstract

As pathogens spread in a population of hosts, immunity is built up, and the pool of susceptible individuals are depleted. This generates selective pressure, to which many human RNA viruses, such as influenza virus or SARS-CoV-2, respond with rapid antigenic evolution and frequent emergence of immune evasive variants. However, the host's immune systems adapt, and older immune responses wane, such that escape variants only enjoy a growth advantage for a limited time. If variant growth dynamics and reshaping of host-immunity operate on comparable time scales, viral adaptation is determined by eco-evolutionary interactions that are not captured by models of rapid evolution in a fixed environment. Here, we use a Susceptible/Infected model to describe the interaction between an evolving viral population in a dynamic but immunologically diverse host population. We show that depending on strain cross-immunity, heterogeneity of the host population, and durability of immune responses, escape variants initially grow exponentially, but lose their growth advantage before reaching high frequencies. Their subsequent dynamics follows an anomalous random walk determined by future escape variants and results in variant trajectories that are unpredictable. This model can explain the apparent contradiction between the clearly adaptive nature of antigenic evolution and the quasi-neutral dynamics of high-frequency variants observed for influenza viruses.

适应病原体和宿主免疫的生态进化动力学。
当病原体在宿主群体中传播时,免疫力就会增强,易感个体的数量就会减少。这产生了选择性压力,许多人类RNA病毒,如流感病毒或SARS-CoV-2,会以快速的抗原进化和频繁出现的免疫规避变体来应对这种压力。然而,宿主的免疫系统会适应,旧的免疫反应会减弱,因此逃逸变异只在有限的时间内享有生长优势。如果变异的生长动态和宿主免疫的重塑在可比的时间尺度上运作,那么病毒的适应是由生态进化的相互作用决定的,而这种相互作用在固定环境中的快速进化模型中是无法捕捉到的。在这里,我们使用易感/感染模型来描述在动态但免疫多样化的宿主群体中不断进化的病毒群体之间的相互作用。我们发现,根据菌株交叉免疫、宿主群体的异质性和免疫反应的持久性,逃逸变异最初呈指数增长,但在达到高频率之前失去了它们的生长优势。它们随后的动态遵循由未来逃逸变异决定的异常随机游走,并导致不可预测的变异轨迹。这一模型可以解释在流感病毒中观察到的抗原进化的明显适应性与高频变异的准中性动力学之间的明显矛盾。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
eLife
eLife BIOLOGY-
CiteScore
12.90
自引率
3.90%
发文量
3122
审稿时长
17 weeks
期刊介绍: eLife is a distinguished, not-for-profit, peer-reviewed open access scientific journal that specializes in the fields of biomedical and life sciences. eLife is known for its selective publication process, which includes a variety of article types such as: Research Articles: Detailed reports of original research findings. Short Reports: Concise presentations of significant findings that do not warrant a full-length research article. Tools and Resources: Descriptions of new tools, technologies, or resources that facilitate scientific research. Research Advances: Brief reports on significant scientific advancements that have immediate implications for the field. Scientific Correspondence: Short communications that comment on or provide additional information related to published articles. Review Articles: Comprehensive overviews of a specific topic or field within the life sciences.
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