Toward a quantitative understanding of viral phylogeography
Toward a quantitative understanding of viral phylogeography
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DOI：
10.1016/j.coviro.2011.10.003
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发表时间：
2011-11-01
影响因子：
5.9
通讯作者：
Lemey, Philippe
中科院分区：
文献类型：
--
作者：
Faria, Nuno Rodrigues;Suchard, Marc A.;Lemey, Philippe
系统地理学方法有助于揭示空间流行病学过程在快速进化的病毒基因组中留下的印记。最近考虑离散和连续分布性状的系统发育扩散的贝叶斯推理方法为更详细地探索基因型和表型进化提供了独特的机会。为了了解病毒传播方法的最新进展，我们重点介绍了在宿主内、当地和全球流行病学规模上出现的关键发现。我们还概述了未来的研究领域，并讨论了这些领域如何有助于定量理解 RNA 病毒的系统动力学。
Phylogeographic approaches help uncover the imprint that spatial epidemiological processes leave in the genomes of fast evolving viruses. Recent Bayesian inference methods that consider phylogenetic diffusion of discretely and continuously distributed traits offer a unique opportunity to explore genotypic and phenotypic evolution in greater detail. To provide a taste of the recent advances in viral diffusion approaches, we highlight key findings arising at the intrahost, local and global epidemiological scales. We also outline future areas of research and discuss how these may contribute to a quantitative understanding of the phylodynamics of RNA viruses.