Zueva Ksenia J, Lumme Jaakko, Veselov Alexey E, Kent Matthew P, Primmer Craig R
Department of Biology, University of Turku, Turku, Finland.
Department of Biology, University of Oulu, Oulu, Finland.
Mar Genomics. 2018 Jun;39:26-38. doi: 10.1016/j.margen.2018.01.001. Epub 2018 Apr 10.
Understanding the genomic basis of host-parasite adaptation is important for predicting the long-term viability of species and developing successful management practices. However, in wild populations, identifying specific signatures of parasite-driven selection often presents a challenge, as it is difficult to unravel the molecular signatures of selection driven by different, but correlated, environmental factors. Furthermore, separating parasite-mediated selection from similar signatures due to genetic drift and population history can also be difficult. Populations of Atlantic salmon (Salmo salar L.) from northern Europe have pronounced differences in their reactions to the parasitic flatworm Gyrodactylus salaris Malmberg 1957 and are therefore a good model to search for specific genomic regions underlying inter-population differences in pathogen response. We used a dense Atlantic salmon SNP array, along with extensive sampling of 43 salmon populations representing the two G. salaris response extremes (extreme susceptibility vs resistant), to screen the salmon genome for signatures of directional selection while attempting to separate the parasite effect from other factors. After combining the results from two independent genome scan analyses, 57 candidate genes potentially under positive selection were identified, out of which 50 were functionally annotated. This candidate gene set was shown to be functionally enriched for lymph node development, focal adhesion genes and anti-viral response, which suggests that the regulation of both innate and acquired immunity might be an important mechanism for salmon response to G. salaris. Overall, our results offer insights into the apparently complex genetic basis of pathogen susceptibility in salmon and highlight methodological challenges for separating the effects of various environmental factors.
了解宿主 - 寄生虫适应性的基因组基础对于预测物种的长期生存能力以及制定成功的管理措施至关重要。然而,在野生种群中,识别寄生虫驱动选择的特定特征往往具有挑战性,因为很难解开由不同但相关的环境因素驱动的选择的分子特征。此外,将寄生虫介导的选择与由于遗传漂变和种群历史导致的类似特征区分开来也可能很困难。来自北欧的大西洋鲑(Salmo salar L.)种群对寄生扁虫鲑三代虫(Gyrodactylus salaris Malmberg 1957)的反应存在明显差异,因此是寻找病原体反应种群间差异潜在特定基因组区域的良好模型。我们使用了密集的大西洋鲑单核苷酸多态性(SNP)阵列,以及对代表鲑三代虫两种反应极端情况(极端易感性与抗性)的43个鲑鱼种群进行广泛采样,来筛选鲑鱼基因组中的定向选择特征,同时试图将寄生虫效应与其他因素区分开来。在结合两项独立的基因组扫描分析结果后,鉴定出57个可能处于正选择下的候选基因,其中50个进行了功能注释。该候选基因集在淋巴结发育、粘着斑基因和抗病毒反应方面显示出功能富集,这表明先天免疫和后天免疫的调节可能是鲑鱼对鲑三代虫反应的重要机制。总体而言,我们的结果为鲑鱼病原体易感性明显复杂的遗传基础提供了见解,并突出了区分各种环境因素影响的方法学挑战。