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2020年在北京新发地市场再次出现的新冠疫情中鉴定出的严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的基因组特征。

Genomic characterization of SARS-CoV-2 identified in a reemerging COVID-19 outbreak in Beijing's Xinfadi market in 2020.

作者信息

Zhang Yong, Pan Yang, Zhao Xiang, Shi Weifeng, Chen Zhixiao, Zhang Sheng, Liu Peipei, Xiao Jinbo, Tan Wenjie, Wang Dayan, Liu William J, Xu Wenbo, Wang Quanyi, Wu Guizhen

机构信息

NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.

Beijing Center for Disease Control and Prevention, Beijing 100013, China.

出版信息

Biosaf Health. 2020 Dec;2(4):202-205. doi: 10.1016/j.bsheal.2020.08.006. Epub 2020 Sep 2.

DOI:10.1016/j.bsheal.2020.08.006
PMID:32895643
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7467064/
Abstract

After 56 days without coronavirus disease 2019 (COVID-19) cases, reemergent cases were reported in Beijing, China on June 11, 2020. Here, we report the genetic characteristics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequenced from the clinical specimens of 4 human cases and 2 environmental samples. The nucleotide similarity among six SARS-CoV-2 genomes ranged from 99.98% to 99.99%. Compared with the reference strain of SARS-CoV-2 (GenBank No. NC_045512), all six genome sequences shared the same substitutions at nt241 (C → T), nt3037 (C → T), nt14408 (C → T), nt23403 (A → G), nt28881 (G → A), nt28882 (G → A), and nt28883 (G → C), which are the characteristic nucleotide substitutions of L-lineage European branch I. This was also proved by the maximum likelihood phylogenetic tree based on the full-length genome of SARS-CoV-2. They also have a unique shared nucleotide substitution, nt6026 (C → T), which is the characteristic nucleotide substitution of SARS-CoV-2 in Beijing's Xinfadi outbreak. It is noteworthy that there is an amino acid D614G mutation caused by nt23403 substitution in all six genomes, which may enhance the virus's infectivity in humans and help it become the leading strain of the virus to spread around the world today. It is necessary to continuously monitor the genetic variation of SARS-CoV-2, focusing on the influence of key mutation sites of SARS-CoV-2 on viral transmission, clinical manifestations, severity, and course of disease.

摘要

在连续56天无新型冠状病毒肺炎(COVID-19)病例后,2020年6月11日中国北京报告了病例复现情况。在此,我们报告了从4例人类病例和2份环境样本的临床标本中测序得到的严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的基因特征。6个SARS-CoV-2基因组之间的核苷酸相似性在99.98%至99.99%之间。与SARS-CoV-2参考毒株(GenBank编号:NC_045512)相比,所有6个基因组序列在核苷酸241(C→T)、核苷酸3037(C→T)、核苷酸14408(C→T)、核苷酸23403(A→G)、核苷酸28881(G→A)、核苷酸28882(G→A)和核苷酸28883(G→C)处具有相同的替换,这些是L系欧洲分支I的特征性核苷酸替换。基于SARS-CoV-2全长基因组构建的最大似然系统发育树也证明了这一点。它们还具有一个独特的共享核苷酸替换,核苷酸6026(C→T),这是北京新发地疫情中SARS-CoV-2的特征性核苷酸替换。值得注意的是,所有6个基因组中均存在由核苷酸23403替换导致的氨基酸D614G突变,这可能增强病毒在人类中的传染性,并使其成为当今在全球传播的病毒优势毒株。有必要持续监测SARS-CoV-2的基因变异,重点关注SARS-CoV-2关键突变位点对病毒传播、临床表现、严重程度和病程的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db86/7467064/75af49c39ded/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db86/7467064/ffb0a88b5465/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db86/7467064/75af49c39ded/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db86/7467064/ffb0a88b5465/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db86/7467064/75af49c39ded/gr2_lrg.jpg

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本文引用的文献

1
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China CDC Wkly. 2020 Jul 3;2(27):502-504. doi: 10.46234/ccdcw2020.132.
2
Tracking Changes in SARS-CoV-2 Spike: Evidence that D614G Increases Infectivity of the COVID-19 Virus.追踪 SARS-CoV-2 刺突蛋白的变化:D614G 增加 COVID-19 病毒感染力的证据。
Cell. 2020 Aug 20;182(4):812-827.e19. doi: 10.1016/j.cell.2020.06.043. Epub 2020 Jul 3.
3
Could the D614G substitution in the SARS-CoV-2 spike (S) protein be associated with higher COVID-19 mortality?
Food Technol Biotechnol. 2023 Jun;61(2):250-258. doi: 10.17113/ftb.61.02.23.8018.
4
Explainable artificial intelligence model for identifying COVID-19 gene biomarkers.用于识别 COVID-19 基因生物标志物的可解释人工智能模型。
Comput Biol Med. 2023 Mar;154:106619. doi: 10.1016/j.compbiomed.2023.106619. Epub 2023 Feb 1.
5
Correlation Analysis between Urban Elements and COVID-19 Transmission Using Social Media Data.基于社交媒体数据的城市要素与新冠病毒传播的相关性分析。
Int J Environ Res Public Health. 2022 Apr 25;19(9):5208. doi: 10.3390/ijerph19095208.
6
The Analysis of Patterns of Two COVID-19 Outbreak Clusters in China.中国两起 COVID-19 暴发聚集性疫情的模式分析。
Int J Environ Res Public Health. 2022 Apr 17;19(8):4876. doi: 10.3390/ijerph19084876.
7
Do spatiotemporal units matter for exploring the microgeographies of epidemics?时空单位对探索流行病的微观地理情况重要吗?
Appl Geogr. 2022 May;142:102692. doi: 10.1016/j.apgeog.2022.102692. Epub 2022 Apr 5.
8
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6
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