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适应性病原体与宿主免疫的生态进化动力学

Eco-evolutionary dynamics of adapting pathogens and host immunity.

作者信息

Barrat-Charlaix Pierre, Neher Richard A

机构信息

Biozentrum, Universität Basel, Basel, Switzerland.

Swiss Institute of Bioinformatics, Basel, Switzerland.

出版信息

Elife. 2024 Dec 27;13:RP97350. doi: 10.7554/eLife.97350.

DOI:10.7554/eLife.97350
PMID:39728926
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11677248/
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.

摘要

随着病原体在宿主群体中传播,免疫力得以建立,易感个体数量减少。这产生了选择压力,许多人类RNA病毒,如流感病毒或SARS-CoV-2,会通过快速的抗原进化和频繁出现免疫逃逸变体来应对。然而,宿主的免疫系统会适应,且旧的免疫反应会减弱,使得逃逸变体仅在有限时间内具有生长优势。如果变体生长动态和宿主免疫重塑在相当的时间尺度上起作用,那么病毒适应是由生态进化相互作用决定的,而固定环境中的快速进化模型无法捕捉到这些相互作用。在这里,我们使用易感/感染模型来描述动态但免疫多样的宿主群体中不断进化的病毒群体之间的相互作用。我们表明,取决于毒株交叉免疫、宿主群体的异质性以及免疫反应的持久性,逃逸变体最初呈指数增长,但在达到高频之前失去其生长优势。它们随后的动态遵循由未来逃逸变体决定的异常随机游走,并导致变体轨迹不可预测。该模型可以解释抗原进化明显的适应性本质与流感病毒高频变体的准中性动态之间的明显矛盾。

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本文引用的文献

1
Age-dependent heterogeneity in the antigenic effects of mutations to influenza hemagglutinin.流感血凝素突变的抗原效应在年龄依赖性方面存在异质性。
Cell Host Microbe. 2024 Aug 14;32(8):1397-1411.e11. doi: 10.1016/j.chom.2024.06.015. Epub 2024 Jul 19.
2
An atlas of continuous adaptive evolution in endemic human viruses.地方性人类病毒持续适应进化图谱
Cell Host Microbe. 2023 Nov 8;31(11):1898-1909.e3. doi: 10.1016/j.chom.2023.09.012. Epub 2023 Oct 25.
3
Population immunity predicts evolutionary trajectories of SARS-CoV-2.
ArXiv. 2024 Nov 27:arXiv:2403.12684v3.
4
Measures of population immunity can predict the dominant clade of influenza A (H3N2) in the 2017-2018 season and reveal age-associated differences in susceptibility and antibody-binding specificity.人群免疫指标能够预测2017-2018年流感季节甲型(H3N2)流感的优势进化枝,并揭示易感性和抗体结合特异性方面与年龄相关的差异。
medRxiv. 2024 Oct 10:2023.10.26.23297569. doi: 10.1101/2023.10.26.23297569.
人群免疫力预测了 SARS-CoV-2 的进化轨迹。
Cell. 2023 Nov 9;186(23):5151-5164.e13. doi: 10.1016/j.cell.2023.09.022. Epub 2023 Oct 23.
4
Evolutionary stability of antigenically escaping viruses.抗原逃逸病毒的进化稳定性。
Proc Natl Acad Sci U S A. 2023 Oct 31;120(44):e2307712120. doi: 10.1073/pnas.2307712120. Epub 2023 Oct 23.
5
SARS-CoV-2 evolution in the Omicron era.奥密克戎时代的 SARS-CoV-2 进化。
Nat Microbiol. 2023 Nov;8(11):1952-1959. doi: 10.1038/s41564-023-01504-w. Epub 2023 Oct 16.
6
Antigenic waves of virus-immune coevolution.病毒免疫协同进化的抗原波。
Proc Natl Acad Sci U S A. 2021 Jul 6;118(27). doi: 10.1073/pnas.2103398118.
7
Limited Predictability of Amino Acid Substitutions in Seasonal Influenza Viruses.季节性流感病毒中氨基酸替换的有限可预测性。
Mol Biol Evol. 2021 Jun 25;38(7):2767-2777. doi: 10.1093/molbev/msab065.
8
Integrating genotypes and phenotypes improves long-term forecasts of seasonal influenza A/H3N2 evolution.整合基因型和表型可提高季节性流感 A/H3N2 进化的长期预测。
Elife. 2020 Sep 2;9:e60067. doi: 10.7554/eLife.60067.
9
Phylodynamic theory of persistence, extinction and speciation of rapidly adapting pathogens.快速适应病原体持续存在、灭绝和物种形成的系统发育理论。
Elife. 2019 Sep 18;8:e44205. doi: 10.7554/eLife.44205.
10
Mapping person-to-person variation in viral mutations that escape polyclonal serum targeting influenza hemagglutinin.绘制针对流感血凝素的多克隆血清靶向逃逸的病毒突变的个体间变异图谱。
Elife. 2019 Aug 27;8:e49324. doi: 10.7554/eLife.49324.