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严重急性呼吸综合征冠状病毒2(SARS-CoV-2)大流行的新出现的系统发育结构。

Emerging phylogenetic structure of the SARS-CoV-2 pandemic.

作者信息

Fountain-Jones Nicholas M, Appaw Raima Carol, Carver Scott, Didelot Xavier, Volz Erik, Charleston Michael

机构信息

School of Natural Sciences, University of Tasmania, Hobart, 7001, Australia.

School of Life Sciences and Department of Statistics, University of Warwick, Coventry CV47AL, UK.

出版信息

Virus Evol. 2020 Nov 10;6(2):veaa082. doi: 10.1093/ve/veaa082. eCollection 2020 Jul.

Abstract

Since spilling over into humans, SARS-CoV-2 has rapidly spread across the globe, accumulating significant genetic diversity. The structure of this genetic diversity and whether it reveals epidemiological insights are fundamental questions for understanding the evolutionary trajectory of this virus. Here, we use a recently developed phylodynamic approach to uncover phylogenetic structures underlying the SARS-CoV-2 pandemic. We find support for three SARS-CoV-2 lineages co-circulating, each with significantly different demographic dynamics concordant with known epidemiological factors. For example, Lineage C emerged in Europe with a high growth rate in late February, just prior to the exponential increase in cases in several European countries. Non-synonymous mutations that characterize Lineage C occur in functionally important gene regions responsible for viral replication and cell entry. Even though Lineages A and B had distinct demographic patterns, they were much more difficult to distinguish. Continuous application of phylogenetic approaches to track the evolutionary epidemiology of SARS-CoV-2 lineages will be increasingly important to validate the efficacy of control efforts and monitor significant evolutionary events in the future.

摘要

自溢出传播给人类以来,严重急性呼吸综合征冠状病毒2(SARS-CoV-2)已在全球迅速传播,积累了显著的遗传多样性。这种遗传多样性的结构以及它是否能揭示流行病学见解,是理解该病毒进化轨迹的基本问题。在此,我们使用一种最近开发的系统发育动力学方法来揭示SARS-CoV-2大流行背后的系统发育结构。我们发现三种SARS-CoV-2谱系共同传播得到了支持,每种谱系都有与已知流行病学因素一致的显著不同的人口动态。例如,C谱系于2月下旬在欧洲出现,增长率很高,就在几个欧洲国家病例呈指数增长之前。表征C谱系的非同义突变发生在负责病毒复制和细胞进入的功能重要基因区域。尽管A谱系和B谱系有不同的人口模式,但它们更难区分。持续应用系统发育方法来追踪SARS-CoV-2谱系的进化流行病学,对于验证控制措施的有效性和监测未来重大进化事件将变得越来越重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7dd/7733608/cdcd8deb439a/veaa082f1.jpg

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