Parratt Steven R, Barrès Benoit, Penczykowski Rachel M, Laine Anna-Liisa
Metapopulation Research Centre, Department of Biosciences, University of Helsinki, Viikinkaari 1, 00014, Helsinki, Finland.
Mol Ecol. 2017 Apr;26(7):1964-1979. doi: 10.1111/mec.13928. Epub 2016 Dec 24.
Predicting and controlling infectious disease epidemics is a major challenge facing the management of agriculture, human and wildlife health. Co-evolutionarily derived patterns of local adaptation among pathogen populations have the potential to generate variation in disease epidemiology; however, studies of local adaptation in disease systems have mostly focused on interactions between competing pathogens or pathogens and their hosts. In nature, parasites and pathogens are also subject to attack by hyperparasitic natural enemies that can severely impact upon their infection dynamics. However, few studies have investigated whether this interaction varies across combinations of pathogen-hyperparasite strains, and whether this influences hyperparasite incidence in natural pathogen populations. Here, we test whether the association between a hyperparasitic fungus, Ampelomyces, and a single powdery mildew host, Podosphaera plantaginis, varies among genotype combinations, and whether this drives hyperparasite incidence in nature. Laboratory inoculation studies reveal that genotype, genotype × genotype interactions and local adaptation affect hyperparasite infection. However, observations of a natural pathogen metapopulation reveal that spatial rather than genetic factors predict the risk of hyperparasite presence. Our results highlight how sensitive the outcome of biocontrol using hyperparasites is to selection of hyperparasite strains.
预测和控制传染病的流行是农业、人类和野生动物健康管理面临的一项重大挑战。病原体种群之间共同进化产生的局部适应模式有可能导致疾病流行病学的变化;然而,疾病系统中局部适应的研究大多集中在竞争性病原体或病原体与其宿主之间的相互作用上。在自然界中,寄生虫和病原体也会受到超寄生性天敌的攻击,这些天敌会严重影响它们的感染动态。然而,很少有研究调查这种相互作用是否因病原体 - 超寄生物菌株组合的不同而有所变化,以及这是否会影响自然病原体种群中超寄生物的发生率。在这里,我们测试超寄生真菌白粉寄生孢(Ampelomyces)与单一白粉病宿主车前白粉菌(Podosphaera plantaginis)之间的关联是否因基因型组合而异,以及这是否会推动自然界中超寄生物的发生率。实验室接种研究表明,基因型、基因型×基因型相互作用和局部适应会影响超寄生物的感染。然而,对一个自然病原体集合种群的观察表明,空间因素而非遗传因素预测了超寄生物存在的风险。我们的结果凸显了使用超寄生物进行生物防治的结果对超寄生物菌株选择的敏感性。