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Evolution and molecular characteristics of SARS-CoV-2 genome
Yunmeng Bai; Dawei Jiang; Jerome R Lon; Xiaoshi Chen; Meiling Hu; Shudai Lin; Zixi Chen; Xiaoning Wang; Yuhuan Meng; Hongli Du.
Afiliação
  • Yunmeng Bai; South China University of Technology
  • Dawei Jiang; South China University of Technology
  • Jerome R Lon; South China University of Technology
  • Xiaoshi Chen; South China University of Technology
  • Meiling Hu; South China University of Technology
  • Shudai Lin; South China University of Technology
  • Zixi Chen; South China University of Technology
  • Xiaoning Wang; State Clinic Center of Gearitic, Chinese PLA General Hospital
  • Yuhuan Meng; Guangzhou KingMed Transformative Medicine Institute Co., Ltd
  • Hongli Du; South China University of Technology
Preprint em Inglês | bioRxiv | ID: ppbiorxiv-058933
ABSTRACT
ObjectivesTo reveal epidemic trend and possible origins of SARS-CoV-2 by exploring its evolution and molecular characteristics based on a large number of genomes since it has infected millions of people and spread quickly all over the world. MethodsVarious evolution analysis methods were employed. ResultsThe estimated Ka/Ks ratio of SARS-CoV-2 is 1.008 or 1.094 based on 622 or 3624 SARS-CoV-2 genomes, and the time to the most recent common ancestor (tMRCA) was inferred in late September 2019. Further 9 key specific sites of highly linkage and four major haplotypes H1, H2, H3 and H4 were found. The Ka/Ks, detected population size and development trends of each major haplotype showed H3 and H4 subgroups were going through a purify evolution and almost disappeared after detection, indicating H3 and H4 might have existed for a long time, while H1 and H2 subgroups were going through a near neutral or neutral evolution and globally increased with time. Notably the frequency of H1 was generally high in Europe and correlated to death rate (r>0.37). ConclusionsIn this study, the evolution and molecular characteristics of more than 16000 genomic sequences provided a new perspective for revealing epidemiology of SARS-CoV-2.
Licença
cc_no
Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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