Department of Biological and Environmental Science, University of Jyvaskyla, Jyvaskyla, Finland.
J Evol Biol. 2019 Jun;32(6):572-579. doi: 10.1111/jeb.13438. Epub 2019 Mar 25.
Within-host interactions between co-infecting parasites can significantly influence the evolution of key parasite traits, such as virulence (pathogenicity of infection). The type of interaction is expected to predict the direction of selection, with antagonistic interactions favouring more virulent genotypes and synergistic interactions less virulent genotypes. Recently, it has been suggested that virulence can further be affected by the genetic identity of co-infecting partners (G × G interactions), complicating predictions on disease dynamics. Here, we used a natural host-parasite system including a fish host and a trematode parasite to study the effects of G × G interactions on infection virulence. We exposed rainbow trout (Oncorhynchus mykiss) either to single genotypes or to mixtures of two genotypes of the eye fluke Diplostomum pseudospathaceum and estimated parasite infectivity (linearly related to pathogenicity of infection, measured as coverage of eye cataracts) and relative cataract coverage (controlled for infectivity). We found that both traits were associated with complex G × G interactions, including both increases and decreases from single infection to co-infection, depending on the genotype combination. In particular, combinations where both genotypes had low average infectivity and relative cataract coverage in single infections benefited from co-infection, while the pattern was opposite for genotypes with higher performance. Together, our results show that infection outcomes vary considerably between single and co-infections and with the genetic identity of the co-infecting parasites. This can result in variation in parasite fitness and consequently impact evolutionary dynamics of host-parasite interactions.
宿主内同时感染的寄生虫之间的相互作用会显著影响寄生虫关键特征的进化,例如毒力(感染的致病性)。预计相互作用的类型将预测选择的方向,拮抗相互作用有利于更具毒力的基因型,协同相互作用则有利于毒力较弱的基因型。最近,有人提出,寄生虫的毒力还可以受到共同感染的寄生虫伙伴的遗传身份(G×G 相互作用)的影响,这使得对疾病动态的预测变得更加复杂。在这里,我们使用包括鱼类宿主和一种吸虫寄生虫在内的天然宿主-寄生虫系统来研究 G×G 相互作用对感染毒力的影响。我们将虹鳟鱼(Oncorhynchus mykiss)暴露于单一基因型或两种吸虫 Diplostomum pseudospathaceum 的两种基因型混合物中,并估计寄生虫感染力(与感染的致病性呈线性相关,以眼部白内障的覆盖率衡量)和相对白内障覆盖率(控制感染力)。我们发现,这两个特征都与复杂的 G×G 相互作用有关,包括从单一感染到混合感染的感染性和相对白内障覆盖率的增加和减少,具体取决于基因型组合。特别是,在单一感染中具有低平均感染力和相对白内障覆盖率的基因型组合从混合感染中受益,而在单一感染中表现较好的基因型组合则相反。总之,我们的研究结果表明,感染结果在单一感染和混合感染之间以及共同感染的寄生虫的遗传身份之间存在很大差异。这可能导致寄生虫适应性的变化,从而影响宿主-寄生虫相互作用的进化动态。