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Evolutionary analysis and lineage designation of SARS-CoV-2 genomes.
Tang, Xiaolu; Ying, Ruochen; Yao, Xinmin; Li, Guanghao; Wu, Changcheng; Tang, Yiyuli; Li, Zhida; Kuang, Bishan; Wu, Feng; Chi, Changsheng; Du, Xiaoman; Qin, Yi; Gao, Shenghan; Hu, Songnian; Ma, Juncai; Liu, Tiangang; Pang, Xinghuo; Wang, Jianwei; Zhao, Guoping; Tan, Wenjie; Zhang, Yaping; Lu, Xuemei; Lu, Jian.
  • Tang X; State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China.
  • Ying R; State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China.
  • Yao X; State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China.
  • Li G; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China.
  • Wu C; Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  • Tang Y; State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China.
  • Li Z; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China.
  • Kuang B; Yuxi Rongjian Information Technology Co., Ltd., Yuxi 653100, China.
  • Wu F; Yuxi Rongjian Information Technology Co., Ltd., Yuxi 653100, China.
  • Chi C; Yuxi Rongjian Information Technology Co., Ltd., Yuxi 653100, China.
  • Du X; Yuxi Rongjian Information Technology Co., Ltd., Yuxi 653100, China.
  • Qin Y; Yuxi Rongjian Information Technology Co., Ltd., Yuxi 653100, China.
  • Gao S; Yuxi Rongjian Information Technology Co., Ltd., Yuxi 653100, China.
  • Hu S; State Key Laboratory of Microbial Resources (SKLMR), The Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
  • Ma J; State Key Laboratory of Microbial Resources (SKLMR), The Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
  • Liu T; The Microresource and Big Data Center, The Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
  • Pang X; Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education and Wuhan University School of Pharmaceutical Sciences, Wuhan 430071, China.
  • Wang J; Beijing Center for Disease Prevention and Control (CDC) & Research Center for Preventive Medicine of Beijing, Beijing 100013, China.
  • Zhao G; NHC Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux Laboratory, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
  • Tan W; Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
  • Zhang Y; Key Laboratory of Synthetic Biology, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China.
  • Lu X; NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
  • Lu J; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China.
Sci Bull (Beijing) ; 66(22): 2297-2311, 2021 Nov 30.
Article in English | MEDLINE | ID: covidwho-1065574
ABSTRACT
The pandemic due to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiological agent of coronavirus disease 2019 (COVID-19), has caused immense global disruption. With the rapid accumulation of SARS-CoV-2 genome sequences, however, thousands of genomic variants of SARS-CoV-2 are now publicly available. To improve the tracing of the viral genomes' evolution during the development of the pandemic, we analyzed single nucleotide variants (SNVs) in 121,618 high-quality SARS-CoV-2 genomes. We divided these viral genomes into two major lineages (L and S) based on variants at sites 8782 and 28144, and further divided the L lineage into two major sublineages (L1 and L2) using SNVs at sites 3037, 14408, and 23403. Subsequently, we categorized them into 130 sublineages (37 in S, 35 in L1, and 58 in L2) based on marker SNVs at 201 additional genomic sites. This lineage/sublineage designation system has a hierarchical structure and reflects the relatedness among the subclades of the major lineages. We also provide a companion website (www.covid19evolution.net) that allows users to visualize sublineage information and upload their own SARS-CoV-2 genomes for sublineage classification. Finally, we discussed the possible roles of compensatory mutations and natural selection during SARS-CoV-2's evolution. These efforts will improve our understanding of the temporal and spatial dynamics of SARS-CoV-2's genome evolution.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Etiology study Topics: Variants Language: English Journal: Sci Bull (Beijing) Year: 2021 Document Type: Article Affiliation country: J.scib.2021.02.012

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Etiology study Topics: Variants Language: English Journal: Sci Bull (Beijing) Year: 2021 Document Type: Article Affiliation country: J.scib.2021.02.012