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Molecular evolutionary signatures reveal the role of host ecological dynamics in viral disease emergence and spread

机译:分子进化特征揭示宿主生态动力学在病毒性疾病出现和传播中的作用

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摘要

RNA viruses account for numerous emerging and perennial infectious diseases, and are characterized by rapid rates of molecular evolution. The ecological dynamics of most emerging RNA viruses are still poorly understood and difficult to ascertain. The availability of genome sequence data for many RNA viruses, in principle, could be used to infer ecological dynamics if changes in population numbers produced a lasting signature within the pattern of genome evolution. As a result, the rapidly emerging phylogeographic structure of a pathogen, shaped by the rise and fall in the number of infections and their spatial distribution, could be used as a surrogate for direct ecological assessments. Based on rabies virus as our example, we use a model combining ecological and evolutionary processes to test whether variation in the rate of host movement results in predictive diagnostic patterns of pathogen genetic structure. We identify several linearizable relationships between host dispersal rate and measures of phylogenetic structure suggesting genetic information can be used to directly infer ecological process. We also find phylogenetic structure may be more revealing than demography for certain ecological processes. Our approach extends the reach of current analytic frameworks for infectious disease dynamics by linking phylogeography back to underlying ecological processes.
机译:RNA病毒是许多新兴和多年生传染病的诱因,其特征是分子进化迅速。大多数新兴的RNA病毒的生态动力学仍然知之甚少,并且难以确定。如果种群数量的变化在基因组进化模式中产生了持久的特征,那么从原理上讲,许多RNA病毒的基因组序列数据的可用性可用于推断生态动力学。结果,由感染数量及其空间分布的上升和下降决定的病原体快速出现的地理学结构可以用作直接生态评估的替代物。以狂犬病病毒为例,我们使用结合生态和进化过程的模型来测试宿主运动速度的变化是否导致病原体遗传结构的预测诊断模式。我们确定主机扩散率和系统发育结构的措施之间的几个线性关系,表明遗传信息可用于直接推断生态过程。我们还发现,在某些生态过程中,系统发育结构可能比人口统计学更具启发性。通过将系统地理学与基础生态过程联系起来,我们的方法扩展了当前传染病动态分析框架的范围。

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