典型文献
Lack of evolutionary changes identified in SARS-CoV-2 for the re-emerging outbreak of COVID-19 in Beijing, China
文献摘要：
Although significant achievements have shown that the coronavirus disease 2019 (COVID-19) resurgence in Beijing, China, was initiated by contaminated frozen products and transported via cold chain transportation, international travelers with asymptomatic symptoms or false-negative nucleic acid may have another possible transmission mode that spread the virus to Beijing. One of the key differences between these two assumptions was whether the virus actively replicated since, so far, no reports showed viruses could stop evolution in alive hosts. We studied severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequences in this outbreak by a modified leaf-dating method with the Bayes factor. The numbers of single nucleotide variants (SNVs) found in SARS-CoV-2 sequences were significantly lower than those called from B.1.1 records collected at the matching time worldwide (
P = 0.047). In addition, results of the leaf-dating method showed ages of viruses sampled from this outbreak were earlier than their recorded dates of collection (Bayes factors > 10), while control sequences (selected randomly with ten replicates) showed no differences in their collection dates (Bayes factors < 10). Our results which indicated that the re-emergence of SARS-CoV-2 in Beijing in June 2020 was caused by a virus that exhibited a lack of evolutionary changes compared to viruses collected at the corresponding time, provided evolutionary evidence to the contaminated imported frozen food should be responsible for the reappearance of COVID-19 cases in Beijing. The method developed here might also be helpful to provide the very first clues for potential sources of COVID-19 cases in the future.
文献关键词：
Molecular clock;Frozen virus;Leaf-dating;Bayes factors;SARS-CoV-2
中图分类号：
作者姓名：
Li Yang;Zhang Yunjun;Liang Mifang;Zhang Yi;Ma Xuejun;Zhang Yong;Zhou Xiaohua
作者机构：
NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China;Chongqing School, University of Chinese Academy of Sciences (UCAS), Chongqing 400020, China;Department of Biostatistics, School of Public Health, Peking University, Beijing 100876, China;Beijing International Center for Mathematical Research, Peking University, Beijing 100876, China;Center for Statistical Science, Peking University, Beijing 100876, China
文献出处：
引用格式：
[1]Li Yang;Zhang Yunjun;Liang Mifang;Zhang Yi;Ma Xuejun;Zhang Yong;Zhou Xiaohua-.Lack of evolutionary changes identified in SARS-CoV-2 for the re-emerging outbreak of COVID-19 in Beijing, China)[J].生物安全与健康 （英文）,2022(01):1-5
A类：
SNVs
B类：
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AB值：
0.5929
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机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
