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基于寄生虫共享的多宿主网络中的潜在寄生虫传播。

Potential parasite transmission in multi-host networks based on parasite sharing.

作者信息

Pilosof Shai, Morand Serge, Krasnov Boris R, Nunn Charles L

机构信息

Mitrani Department of Desert Ecology, Albert Katz International School for Desert Studies, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Midreshet Ben-Gurion, Israel.

Institut des Sciences de l'Evolution de Montpellier (ISEM), Centre National de la Recherche Scientifique (CNRS), Montpellier, France; Unité de Recherche Animal et Gestion Intégrée des Risques, Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Montpellier, France; Centre d'Infectiologie Christophe Mérieux du Laos (CICML), Ministry of Health of Lao PDR, Vientiane, Lao PDR.

出版信息

PLoS One. 2015 Mar 6;10(3):e0117909. doi: 10.1371/journal.pone.0117909. eCollection 2015.

Abstract

Epidemiological networks are commonly used to explore dynamics of parasite transmission among individuals in a population of a given host species. However, many parasites infect multiple host species, and thus multi-host networks may offer a better framework for investigating parasite dynamics. We investigated the factors that influence parasite sharing--and thus potential transmission pathways--among rodent hosts in Southeast Asia. We focused on differences between networks of a single host species and networks that involve multiple host species. In host-parasite networks, modularity (the extent to which the network is divided into subgroups of rodents that interact with similar parasites) was higher in the multi-species than in the single-species networks. This suggests that phylogeny affects patterns of parasite sharing, which was confirmed in analyses showing that it predicted affiliation of individuals to modules. We then constructed "potential transmission networks" based on the host-parasite networks, in which edges depict the similarity between a pair of individuals in the parasites they share. The centrality of individuals in these networks differed between multi- and single-species networks, with species identity and individual characteristics influencing their position in the networks. Simulations further revealed that parasite dynamics differed between multi- and single-species networks. We conclude that multi-host networks based on parasite sharing can provide new insights into the potential for transmission among hosts in an ecological community. In addition, the factors that determine the nature of parasite sharing (i.e. structure of the host-parasite network) may impact transmission patterns.

摘要

流行病学网络通常用于探究特定宿主物种群体中个体间寄生虫传播的动态情况。然而,许多寄生虫会感染多种宿主物种,因此多宿主网络可能为研究寄生虫动态提供更好的框架。我们调查了影响东南亚啮齿动物宿主间寄生虫共享(以及潜在传播途径)的因素。我们重点关注单一宿主物种网络与涉及多种宿主物种网络之间的差异。在宿主 - 寄生虫网络中,多物种网络的模块性(网络被划分为与相似寄生虫相互作用的啮齿动物亚组的程度)高于单一物种网络。这表明系统发育会影响寄生虫共享模式,分析结果证实了这一点,即系统发育预测了个体与模块的归属关系。然后,我们基于宿主 - 寄生虫网络构建了“潜在传播网络”,其中边表示一对个体在共享寄生虫方面的相似性。这些网络中个体的中心性在多物种网络和单一物种网络之间存在差异,物种身份和个体特征会影响它们在网络中的位置。模拟进一步揭示,多物种网络和单一物种网络中的寄生虫动态有所不同。我们得出结论,基于寄生虫共享的多宿主网络能够为生态群落中宿主间的潜在传播提供新的见解。此外,决定寄生虫共享性质的因素(即宿主 - 寄生虫网络的结构)可能会影响传播模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ecd/4352066/b0fba3623878/pone.0117909.g001.jpg

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