Fundação Oswaldo Cruz de Mato Grosso do Sul, Campo Grande, MS, Brazil.
Laboratório de Imunoparasitologia, Departamento de Patologia, Reprodução e Saúde Única, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual "Júlio de Mesquita Filho" (UNESP), Jaboticabal, SP, Brazil.
Microb Ecol. 2023 Aug;86(2):1292-1306. doi: 10.1007/s00248-022-02108-3. Epub 2022 Sep 27.
The importance of species that connect the different types of interactions is becoming increasingly recognized, and this role may be related to specific attributes of these species. Multilayer networks have two or more layers, which represent different types of interactions, for example, between different parasites and hosts that are nonetheless connected. The understanding of the ecological relationship between bats, ectoparasites, and vector-borne bacteria could shed some light on the complex transmission cycles of these pathogens. In this study, we investigated a multilayer network in Brazil formed by interactions between bat-bacteria, bat-ectoparasite, and ectoparasite-bacteria, and asked how these interactions overlap considering different groups and transmission modes. The multilayer network was composed of 31 nodes (12 bat species, 14 ectoparasite species, and five bacteria genera) and 334 links, distributed over three layers. The multilayer network has low modularity and shows a core-periphery organization, that is, composed of a few generalist species with many interactions and many specialist species participating in few interactions in the multilayer network. The three layers were needed to accurately describe the multilayer structure, while aggregation leads to loss of information. Our findings also demonstrated that the multilayer network is influenced by a specific set of species that can easily be connected to the behavior, life cycle, and type of existing interactions of these species. Four bat species (Artibeus lituratus, A. planirostris, Phyllostomus discolor, and Platyrrhinus lineatus), one ectoparasite species (Steatonyssus) and three bacteria genera (Ehrlichia, hemotropic Mycoplasma and Neorickettsia) are the most important species for the multilayer network structure. Finally, our study brings an ecological perspective under a multilayer network approach on the interactions between bats, ectoparasites, and pathogens. By using a multilayer approach (different types of interactions), it was possible to better understand these different ecological interactions and how they affect each other, advancing our knowledge on the role of bats and ectoparasites as potential pathogen vectors and reservoirs, as well as the modes of transmission of these pathogens.
连接不同类型相互作用的物种的重要性正日益受到重视,而这种作用可能与这些物种的特定属性有关。多层网络有两个或更多层,代表不同类型的相互作用,例如,不同寄生虫和宿主之间的相互作用,但它们是相互连接的。了解蝙蝠、外寄生虫和媒介传播细菌之间的生态关系,可以揭示这些病原体复杂的传播周期。在这项研究中,我们调查了巴西由蝙蝠-细菌、蝙蝠-外寄生虫和外寄生虫-细菌相互作用组成的多层网络,并询问了在考虑不同组和传播模式时,这些相互作用如何重叠。多层网络由 31 个节点(12 种蝙蝠物种、14 种外寄生虫物种和 5 个细菌属)和 334 条链接组成,分布在三个层上。多层网络的模块性低,表现出核心-边缘组织,即由少数具有许多相互作用的通用物种和许多参与多层网络中少数相互作用的专业物种组成。需要三层才能准确描述多层结构,而聚合会导致信息丢失。我们的研究结果还表明,多层网络受一组特定物种的影响,这些物种很容易与这些物种的行为、生命周期和现有相互作用类型联系起来。四种蝙蝠物种(A. lituratus、A. planirostris、Phyllostomus discolor 和 Platyrrhinus lineatus)、一种外寄生虫物种(Steatonyssus)和三种细菌属(Ehrlichia、嗜血支原体和 Neorickettsia)是对多层网络结构最重要的物种。最后,我们的研究从多层网络方法的生态角度出发,研究了蝙蝠、外寄生虫和病原体之间的相互作用。通过使用多层方法(不同类型的相互作用),可以更好地理解这些不同的生态相互作用以及它们如何相互影响,从而提高我们对蝙蝠和外寄生虫作为潜在病原体媒介和宿主的作用以及这些病原体传播模式的认识。