Elderd Bret D, Dushoff Jonathan, Dwyer Greg
Department of Ecology and Evolution, University of Chicago, Chicago, Illinois 60637, USA.
Am Nat. 2008 Dec;172(6):829-42. doi: 10.1086/592403.
The theory of insect population dynamics has shown that heterogeneity in natural-enemy attack rates is strongly stabilizing. We tested the usefulness of this theory for outbreaking insects, many of which are attacked by infectious pathogens. We measured heterogeneity among gypsy moth larvae in their risk of infection with a nucleopolyhedrovirus, which is effectively heterogeneity in the pathogen's attack rate. Our data show that heterogeneity in infection risk in this insect is so high that it leads to a stable equilibrium in the models, which is inconsistent with the outbreaks seen in North American gypsy moth populations. Our data further suggest that infection risk declines after epidemics, in turn suggesting that the model assumption of constant infection risk is incorrect. We therefore constructed an alternative model in which natural selection drives fluctuations in infection risk, leading to reductions after epidemics because of selection for resistance and increases after epidemics because of a cost of resistance. This model shows cycles even for high heterogeneity, and experiments confirm that infection risk is indeed heritable. The model is very general, and so we argue that natural selection for disease resistance may play a role in many insect outbreaks.
昆虫种群动态理论表明,天敌攻击率的异质性具有很强的稳定性。我们检验了这一理论对爆发性昆虫的适用性,其中许多昆虫会受到传染性病原体的攻击。我们测量了舞毒蛾幼虫感染核多角体病毒风险的异质性,这实际上就是病原体攻击率的异质性。我们的数据表明,这种昆虫感染风险的异质性非常高,以至于在模型中会导致稳定的平衡,这与北美舞毒蛾种群中出现的爆发情况不一致。我们的数据进一步表明,疫情过后感染风险会下降,这反过来表明感染风险恒定的模型假设是不正确的。因此,我们构建了一个替代模型,在该模型中自然选择驱动感染风险的波动,由于对抗性的选择,疫情过后感染风险降低,而由于抗性成本,疫情过后感染风险又会增加。即使对于高度异质性的情况,该模型也显示出周期性,实验证实感染风险确实是可遗传的。该模型具有很强的通用性,因此我们认为对疾病抗性的自然选择可能在许多昆虫爆发中起作用。