Wang Mengyue, Jiang Wen
Department of Mechanics Huazhong University of Science and Technology Wuhan China.
Hubei Key Laboratory for Engineering Structural Analysis and Safety Assessment Wuhan China.
Evol Appl. 2023 Jan 23;16(3):721-737. doi: 10.1111/eva.13530. eCollection 2023 Mar.
Current research on the virulence evolution of is mainly conducted via experiments, and studies using mathematical models are still limited. Here, we constructed a complex cycle model of in a multi-host system considering multiple transmission routes and cat-mouse interaction. Based on this model, we studied how the virulence of evolves with the factors related to transmission routes and the regulation of infection on host behavior under an adaptive dynamics framework. The study shows that all factors that enhance the role of mice favored decreased virulence of , except the decay rate of oocysts that led to different evolutionary trajectories under different vertical transmission. The same was true of the environmental infection rate of cats, whose effect was different under different vertical transmission. The effect of the regulation factor on the virulence evolution of was the same as that of the inherent predation rate depending on its net effect on direct and vertical transmissions. The global sensitivity analysis on the evolutionary outcome suggests that changing the vertical infection rate and decay rate was most effective in regulating the virulence of . Furthermore, the presence of coinfection would favor virulent and make evolutionary bifurcation easy to occur. The results reveal that the virulence evolution of had a compromise between adapting to different transmission routes and maintaining the cat-mouse interaction thereby leading to different evolutionary scenarios. This highlights the significance of evolutionary ecological feedback to evolution. In addition, the qualitative verification of virulence evolution in different areas by the present framework will provide a new perspective for the study of evolution.
目前关于[病原体名称]毒力进化的研究主要通过实验进行,而使用数学模型的研究仍然有限。在此,我们构建了一个多宿主系统中[病原体名称]的复杂循环模型,该模型考虑了多种传播途径以及猫 - 鼠相互作用。基于此模型,我们在适应性动力学框架下研究了[病原体名称]的毒力如何随与传播途径相关的因素以及宿主行为感染调节而演变。研究表明,除了卵囊衰减率在不同垂直传播情况下导致不同进化轨迹外,所有增强小鼠作用的因素都有利于降低[病原体名称]的毒力。猫的环境感染率情况相同,其在不同垂直传播下的影响有所不同。调节因子对[病原体名称]毒力进化的影响与固有捕食率的影响相同,这取决于其对直接传播和垂直传播的净效应。对进化结果的全局敏感性分析表明,改变垂直感染率和衰减率对调节[病原体名称]的毒力最为有效。此外,共感染的存在有利于毒性较强的[病原体名称],并容易导致进化分支的发生。结果表明,[病原体名称]的毒力进化在适应不同传播途径和维持猫 - 鼠相互作用之间存在权衡,从而导致不同的进化情景。这突出了进化生态反馈对进化的重要性。此外,本框架对不同区域[病原体名称]毒力进化的定性验证将为进化研究提供新的视角。