Marchetto Katherine M, Power Alison G
Am Nat. 2018 Feb;191(2):173-183. doi: 10.1086/695316. Epub 2017 Dec 13.
Infections of one host by multiple parasites are common, and several studies have found that the order of parasite invasion can affect both within-host competition and disease severity. However, it is unclear to what extent coinfection timing might be important to consider when modeling parasite impacts on host populations. Using a model system of two viruses infecting barley, we found that simultaneous infections of the two viruses were significantly more damaging to hosts than sequential coinfections. While priority effects were evident in within-host concentrations of sequential coinfections, priority did not influence any parameters (such as virulence or transmission rate) that affect host population dynamics. We built a susceptible-infected model to examine whether the observed difference in coinfection virulence could impact host population dynamics under a range of scenarios. We found that coinfection timing can have an important but context-dependent effect on projected host population dynamics. Studies that examine only simultaneous coinfections could inflate disease impact predictions.
一个宿主被多种寄生虫感染的情况很常见,多项研究发现寄生虫入侵的顺序会影响宿主体内的竞争以及疾病的严重程度。然而,在建立寄生虫对宿主种群影响的模型时,共感染时间在多大程度上需要考虑尚不清楚。利用两种病毒感染大麦的模型系统,我们发现两种病毒同时感染对宿主的损害明显大于相继共感染。虽然在相继共感染的宿主体内浓度中优先效应明显,但优先顺序并未影响任何影响宿主种群动态的参数(如毒力或传播率)。我们构建了一个易感-感染模型,以检验在一系列情况下共感染毒力的观察差异是否会影响宿主种群动态。我们发现共感染时间对预测的宿主种群动态可能有重要但依赖于具体情况的影响。仅研究同时共感染的研究可能会夸大疾病影响预测。