Biology Program, Bard College, Annandale-on-Hudson, New York.
Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas.
Ann N Y Acad Sci. 2020 Jun;1469(1):65-85. doi: 10.1111/nyas.14325. Epub 2020 Mar 13.
In many natural systems, diverse host communities can reduce disease risk, though less is known about the mechanisms driving this "dilution effect." We relate feedback theory, which focuses on pathogen-mediated coexistence, to mechanisms of dilution derived from epidemiological models, with the central goal of gaining insights into host-pathogen interactions in a community context. We first compare the origin, structure, and application of epidemiological and feedback models. We then explore the mechanisms of dilution, which are grounded in single-pathogen, single-host epidemiological models, from the perspective of feedback theory. We also draw on feedback theory to examine how coinfecting pathogens, and pathogens that vary along a host specialist-generalist continuum, apply to dilution theory. By identifying synergies among the feedback and epidemiological approaches, we reveal ways in which organisms occupying different trophic levels contribute to diversity-disease relationships. Additionally, using feedbacks to distinguish dilution in disease incidence from dilution in the net effect of disease on host fitness allows us to articulate conditions under which definitions of dilution may not align. After ascribing dilution mechanisms to macro- or microorganisms, we propose ways in which each contributes to diversity-disease and productivity-diversity relationships. Our analyses lead to predictions that can guide future research efforts.
在许多自然系统中,多样化的宿主群落可以降低疾病风险,但人们对驱动这种“稀释效应”的机制知之甚少。我们将关注病原体介导的共存的反馈理论与源自流行病学模型的稀释机制联系起来,其核心目标是深入了解社区背景下的宿主-病原体相互作用。我们首先比较了流行病学和反馈模型的起源、结构和应用。然后,我们从反馈理论的角度探讨了基于单病原体、单宿主流行病学模型的稀释机制。我们还借鉴反馈理论来研究同时感染的病原体以及沿着宿主特化-泛化连续体变化的病原体如何适用于稀释理论。通过识别反馈和流行病学方法之间的协同作用,我们揭示了不同营养水平的生物体如何为多样性-疾病关系做出贡献。此外,使用反馈来区分疾病发病率的稀释和疾病对宿主适应性的净效应的稀释,使我们能够阐明稀释定义可能不一致的条件。将稀释机制归因于宏观或微生物后,我们提出了每种机制如何有助于多样性-疾病和生产力-多样性关系。我们的分析得出了可以指导未来研究工作的预测。