Lewnard Joseph A, Townsend Jeffrey P
Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06520.
Department of Biostatistics, Yale School of Public Health, New Haven, CT 06510;
Proc Natl Acad Sci U S A. 2016 Dec 20;113(51):14601-14608. doi: 10.1073/pnas.1604985113. Epub 2016 Oct 24.
Immune heterogeneity in wild host populations indicates that disease-mediated selection is common in nature. However, the underlying dynamic feedbacks involving the ecology of disease transmission, evolutionary processes, and their interaction with environmental drivers have proven challenging to characterize. Plague presents an optimal system for interrogating such couplings: Yersinia pestis transmission exerts intense selective pressure driving the local persistence of disease resistance among its wildlife hosts in endemic areas. Investigations undertaken in colonial India after the introduction of plague in 1896 suggest that, only a decade after plague arrived, a heritable, plague-resistant phenotype had become prevalent among commensal rats of cities undergoing severe plague epidemics. To understand the possible evolutionary basis of these observations, we developed a mathematical model coupling environmentally forced plague dynamics with evolutionary selection of rats, capitalizing on extensive archival data from Indian Plague Commission investigations. Incorporating increased plague resistance among rats as a consequence of intense natural selection permits the model to reproduce observed changes in seasonal epidemic patterns in several cities and capture experimentally observed associations between climate and flea population dynamics in India. Our model results substantiate Victorian era claims of host evolution based on experimental observations of plague resistance and reveal the buffering effect of such evolution against environmental drivers of transmission. Our analysis shows that historical datasets can yield powerful insights into the transmission dynamics of reemerging disease agents with which we have limited contemporary experience to guide quantitative modeling and inference.
野生宿主种群中的免疫异质性表明,疾病介导的选择在自然界中很常见。然而,涉及疾病传播生态学、进化过程及其与环境驱动因素相互作用的潜在动态反馈已被证明难以描述。鼠疫是研究此类耦合的理想系统:鼠疫耶尔森菌的传播施加了强大的选择压力,促使其在流行地区的野生宿主中局部保持抗病性。1896年鼠疫传入后,在英属印度进行的调查表明,鼠疫出现仅十年后,一种可遗传的抗鼠疫表型就在遭受严重鼠疫流行的城市的家鼠中普遍存在。为了理解这些观察结果可能的进化基础,我们利用印度鼠疫委员会调查的大量档案数据,开发了一个将环境驱动的鼠疫动态与大鼠进化选择相结合的数学模型。将由于强烈自然选择导致的大鼠抗鼠疫能力增强纳入模型,使得该模型能够重现几个城市中观察到的季节性流行模式变化,并捕捉到印度气候与跳蚤种群动态之间实验观察到的关联。我们的模型结果证实了维多利亚时代基于鼠疫抗性实验观察得出的宿主进化观点,并揭示了这种进化对传播环境驱动因素的缓冲作用。我们的分析表明,历史数据集可以为重新出现的病原体的传播动态提供有力见解,而对于这些病原体,我们目前的当代经验有限,难以指导定量建模和推断。