Henrichs Brian, Oosthuizen Marinda C, Troskie Milana, Gorsich Erin, Gondhalekar Carmen, Beechler Brianna R, Ezenwa Vanessa O, Jolles Anna E
Department of Integrative Biology, Oregon State University, Corvallis, OR, 97331, USA.
Department of Veterinary Tropical Diseases, Faculty of Veterinary Sciences, University of Pretoria, Onderstepoort, 0110, South Africa.
J Anim Ecol. 2016 Jul;85(4):1025-34. doi: 10.1111/1365-2656.12535. Epub 2016 May 26.
Experimental studies in laboratory settings have demonstrated a critical role of parasite interactions in shaping parasite communities. The sum of these interactions can produce diverse effects on individual hosts as well as influence disease emergence and persistence at the population level. A predictive framework for the effects of parasite interactions in the wild remains elusive, largely because of limited longitudinal or experimental data on parasite communities of free-ranging hosts. This 4-year study followed a community of haemoparasites in free-ranging African buffalo (Syncerus caffer). We detected infection by 11 haemoparasite species using PCR-based diagnostic techniques, and analyzed drivers of infection patterns using generalized linear mixed models to understand the role of host characteristics and season on infection likelihood. We tested for (i) effects of co-infection by other haemoparasites (within guild) and (ii) effects of parasites infecting different tissue types (across guild). We found that within guild co-infections were the strongest predictors of haemoparasite infections in the buffalo; but that seasonal and host characteristics also had important effects. In contrast, the evidence for across-guild effects of parasites utilizing different tissue on haemoparasite infection was weak. These results provide a nuanced view of the role of co-infections in determining haemoparasite infection patterns in free living mammalian hosts. Our findings suggest a role for interactions among parasites infecting a single tissue type in determining infection patterns.
实验室环境下的实验研究表明,寄生虫相互作用在塑造寄生虫群落方面起着关键作用。这些相互作用的总和会对个体宿主产生多种影响,同时也会在种群层面影响疾病的出现和持续存在。由于关于自由放养宿主的寄生虫群落的纵向或实验数据有限,目前仍难以建立一个预测野生环境中寄生虫相互作用影响的框架。这项为期4年的研究跟踪了自由放养的非洲水牛(非洲野水牛)体内的血液寄生虫群落。我们使用基于PCR的诊断技术检测了11种血液寄生虫的感染情况,并使用广义线性混合模型分析了感染模式的驱动因素,以了解宿主特征和季节对感染可能性的作用。我们测试了(i)其他血液寄生虫(在同一类群内)共同感染的影响,以及(ii)感染不同组织类型的寄生虫(跨类群)的影响。我们发现,在同一类群内的共同感染是水牛血液寄生虫感染最强的预测因素;但季节和宿主特征也有重要影响。相比之下,利用不同组织的寄生虫对血液寄生虫感染的跨类群影响的证据较弱。这些结果为共同感染在确定自由生活的哺乳动物宿主血液寄生虫感染模式中的作用提供了一个细致入微的观点。我们的研究结果表明,感染单一组织类型的寄生虫之间的相互作用在确定感染模式中发挥了作用。