Department of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, USA.
Jacob Blaustein Center for Scientific Cooperation, The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Beersheva, Midreshet Ben-Gurion, Israel.
J Anim Ecol. 2024 Oct;93(10):1541-1555. doi: 10.1111/1365-2656.14167. Epub 2024 Sep 8.
Host populations often vary in the magnitude of coinfection they experience across environmental gradients. Furthermore, coinfection often occurs sequentially, with a second parasite infecting the host after the first has established a primary infection. Because the local environment and interactions between coinfecting parasites can both drive patterns of coinfection, it is important to disentangle the relative contributions of environmental factors and within-host interactions to patterns of coinfection. Here, we develop a conceptual framework and present an empirical case study to disentangle these facets of coinfection. Across multiple lakes, we surveyed populations of five damselfly (host) species and quantified primary parasitism by aquatic, ectoparasitic water mites and secondary parasitism by terrestrial, endoparasitic gregarines. We first asked if coinfection is predicted by abiotic and biotic factors within the local environment, finding that the probability of coinfection decreased for all host species as pH increased. We then asked if primary infection by aquatic water mites mediated the relationship between pH and secondary infection by terrestrial gregarines. Contrary to our expectations, we found no evidence for a water mite-mediated relationship between pH and gregarines. Instead, the intensity of gregarine infection correlated solely with the local environment, with the magnitude and direction of these relationships varying among environmental predictors. Our findings emphasize the role of the local environment in shaping infection dynamics that set the stage for coinfection. Although we did not detect within-host interactions, the approach herein can be applied to other systems to elucidate the nature of interactions between hosts and coinfecting parasites within complex ecological communities.
宿主群体在不同环境梯度下所经历的共感染程度往往存在差异。此外,共感染通常是顺序发生的,即在第一种寄生虫建立原发性感染后,第二种寄生虫会感染宿主。由于局部环境和共感染寄生虫之间的相互作用都可以驱动共感染模式,因此,重要的是要厘清环境因素和宿主内相互作用对共感染模式的相对贡献。在这里,我们提出了一个概念框架,并通过一个实证案例研究来阐明共感染的这些方面。在多个湖泊中,我们调查了五种豆娘(宿主)物种的种群,并量化了水生、外寄生的水螨的原发性寄生和陆生、内寄生的球虫的继发性寄生。我们首先询问共感染是否可以由当地环境中的非生物和生物因素来预测,发现所有宿主物种的共感染概率随着 pH 值的升高而降低。然后,我们询问了水生水螨的原发性感染是否介导了 pH 值与陆生球虫继发性感染之间的关系。与我们的预期相反,我们没有发现水螨介导的 pH 值与球虫之间的关系的证据。相反,球虫感染的强度仅与当地环境相关,这些关系的大小和方向因环境预测因子而异。我们的研究结果强调了当地环境在塑造感染动态方面的作用,这些动态为共感染奠定了基础。虽然我们没有检测到宿主内的相互作用,但本文所述的方法可以应用于其他系统,以阐明宿主和共感染寄生虫之间在复杂生态群落中的相互作用的性质。