Modeling host-parasite coevolution: A nested approach based on mechanistic models
Modeling host-parasite coevolution: A nested approach based on mechanistic models
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DOI：
10.1006/jtbi.2002.3076
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发表时间：
2002-10-07
影响因子：
2
通讯作者：
Sasaki, A
中科院分区：
文献类型：
--
作者：
Gilchrist, MA;Sasaki, A
在这项研究中，我们介绍了一个使用嵌套建模方法来模拟宿主-寄生虫协同进化的机制框架。该方法的第一步是构建宿主内寄生虫种群动态的机制模型。第二步是定义一个流行病学模型，用于推导宿主和寄生虫的适应度函数。然后，通过将流行病学参数（例如感染传播率或额外宿主死亡率）与宿主内模型的动态联系起来，将宿主内模型嵌套在流行病学模型中。将宿主内部模型嵌套到流行病学模型中，使我们能够评估每个相互作用者的适应度函数，从而使我们能够确定系统的共同进化动力学。这种嵌套方法比其他方法具有优势，因为宿主寄生虫生物学的机械描述用于导出而不是强加生活史权衡。我们通过分析一个简单的宿主-寄生虫系统来说明这个框架。在这个特定的系统中，我们发现共同进化平衡始终是稳定的，并且宿主的存活率和寄生虫的适应性随着免疫反应和寄生虫生长的成本而变化很大。 (C) 2002 Elsevier Science Ltd. 保留所有权利。
In this study we introduce a mechanistic framework for modeling host-parasite coevolution using a nested modeling approach. The first step in this approach is to construct a mechanistic model of the parasite population dynamics within a host. The second step is to define an epidemiological model which is used to derive the fitness functions for both the host and the parasite. The within-host model is then nested within the epidemiological model by linking the epidemiological parameters such as the transmission rate of the infection or the additional host mortality rate to the dynamics of the within-host model. Nesting the within host model into an epidemiological model allows us to evaluate the fitness functions for each interactor which in turn allows us to determine the coevolutionary dynamics of the system. This nested approach has the advantage over other approaches in that mechanistic descriptions of the host-parasite biology are used to derive, rather than impose, life-history trade-offs. We illustrate this framework by analysing a simple host-parasite system. In this particular system we find that the coevolutionary equilibrium is always stable and that host survivorship and parasite fitness vary greatly with the cost of the immune response and parasite growth. (C) 2002 Elsevier Science Ltd. All rights reserved.