具有异质免疫反应的宿主群体的毒力进化:不常见的弱的减弱。

IF 2.3 4区 数学 Q2 BIOLOGY
Carles Barril, Marina Vegué
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引用次数: 0

摘要

病原体-宿主动力学中不同因素如何以及在多大程度上形成毒力一直存在很大争议,因为进化力的作用方向相反。在这里,我们提出了一个病原体-宿主动力学模型,目的是研究病原体之间的竞争和宿主的免疫反应如何影响毒力。该模型描述了个体宿主内部的病原体动态以及宿主种群中易感和感染个体的动态,并将其联系起来。我们首先表明,当宿主有足够的免疫反应(使它们在短时间内完全从感染中恢复)时,病原体往往会增加其毒力。相反,如果宿主很脆弱(意味着它们最终会死于感染),则会选择低毒力的病毒。然后,我们转向更丰富的情景,其中宿主人口是混合的,并且包含一小部分脆弱个体。我们看到,当p取中间值时,所选择的毒力表现出与生物学相关的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Virulence Evolution in Host Populations with Heterogeneous Immune Responses: The Weakening of the Uncommon Weak.

How and to what extent different factors in pathogen-host dynamics shape virulence has been largely debated due to evolutionary forces acting in opposite directions. Here we present a model of pathogen-host dynamics with the aim of studying how competition between pathogens and the immune response of the host affect virulence. The model describes, and links, the pathogen dynamics inside individual hosts and the dynamics of the susceptible and infected individuals in the host population. We first show that when the hosts have an adequate immune response (so that they completely recover from the infection on a short time scale), pathogens tend to increase their virulence. On the contrary, if the hosts are vulnerable (meaning that they will eventually die from the infection), low virulences will be selected. We then move to a richer scenario in which the host population is mixed and contains a fraction p of vulnerable individuals. We see that the selected virulence exhibits biologically relevant behaviors as p takes intermediate values.

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来源期刊
CiteScore
3.90
自引率
8.60%
发文量
123
审稿时长
7.5 months
期刊介绍: The Bulletin of Mathematical Biology, the official journal of the Society for Mathematical Biology, disseminates original research findings and other information relevant to the interface of biology and the mathematical sciences. Contributions should have relevance to both fields. In order to accommodate the broad scope of new developments, the journal accepts a variety of contributions, including: Original research articles focused on new biological insights gained with the help of tools from the mathematical sciences or new mathematical tools and methods with demonstrated applicability to biological investigations Research in mathematical biology education Reviews Commentaries Perspectives, and contributions that discuss issues important to the profession All contributions are peer-reviewed.
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