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多重适应病原体在空间异质环境中的进化与传播

Evolution and spread of multiadapted pathogens in a spatially heterogeneous environment.

作者信息

Griette Quentin, Alfaro Matthieu, Raoul Gaël, Gandon Sylvain

机构信息

Université Le Havre Normandie, Normandie Université, LMAH, 76600 Le Havre, France.

Univ. Rouen Normandie, CNRS, LMRS UMR 6085, Rouen, France.

出版信息

Evol Lett. 2024 Jan 31;8(3):427-436. doi: 10.1093/evlett/qrad073. eCollection 2024 Jun.

Abstract

Pathogen adaptation to multiple selective pressures challenges our ability to control their spread. Here we analyze the evolutionary dynamics of pathogens spreading in a heterogeneous host population where selection varies periodically in space. We study both the transient dynamics taking place at the front of the epidemic and the long-term evolution far behind the front. We identify five types of epidemic profiles arising for different levels of spatial heterogeneity and different costs of adaptation. In particular, we identify the conditions where a generalist pathogen carrying multiple adaptations can outrace a coalition of specialist pathogens. We also show that finite host populations promote the spread of generalist pathogens because demographic stochasticity enhances the extinction of locally maladapted pathogens. But higher mutation rates between genotypes can rescue the coalition of specialists and speed up the spread of epidemics for intermediate levels of spatial heterogeneity. Our work provides a comprehensive analysis of the interplay between migration, local selection, mutation, and genetic drift on the spread and on the evolution of pathogens in heterogeneous environments. This work extends our fundamental understanding of the outcome of the competition between two specialists and a generalist strategy (single- vs. multiadapted pathogens). These results have practical implications for the design of more durable control strategies against multiadapted pathogens in agriculture and in public health.

摘要

病原体对多种选择压力的适应给我们控制其传播的能力带来了挑战。在此,我们分析了在宿主群体异质性环境中传播的病原体的进化动态,其中选择在空间上呈周期性变化。我们研究了疫情前沿发生的瞬态动态以及前沿后方的长期进化。我们确定了因不同程度的空间异质性和不同适应成本而产生的五种疫情模式。特别是,我们确定了携带多种适应性的通才病原体能够超越专性病原体联盟的条件。我们还表明,有限的宿主群体促进了通才病原体的传播,因为人口统计学随机性增强了局部适应不良病原体的灭绝。但是,基因型之间较高的突变率可以拯救专性病原体联盟,并在中等程度的空间异质性水平下加速疫情传播。我们的工作全面分析了迁移、局部选择、突变和遗传漂变在异质环境中病原体传播和进化过程中的相互作用。这项工作扩展了我们对两种专性病原体与通才策略(单适应与多适应病原体)之间竞争结果的基本理解。这些结果对于设计针对农业和公共卫生中多适应病原体的更持久控制策略具有实际意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57a4/11134468/20e9b0deab47/qrad073_fig1.jpg

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