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Genomic, geographic and temporal distributions of SARS-CoV-2 mutations
Hsin-Chou Yang; Chun-houh Chen; Jen-Hung Wang; Hsiao-Ch Liao; Chih-Ting Yang; Chia-Wei Chen; Yin-Chun Lin; Chiun-How Kao; James C. Liao.
Afiliação
  • Hsin-Chou Yang; Institute of Statistical Science, Academia Sinica
  • Chun-houh Chen; Institute of Statistical Science, Academia Sinica
  • Jen-Hung Wang; Institute of Statistical Science, Academia Sinica
  • Hsiao-Ch Liao; Institute of Statistical Science, Academia Sinica
  • Chih-Ting Yang; Institute of Statistical Science, Academia Sinica
  • Chia-Wei Chen; Institute of Statistical Science, Academia Sinica
  • Yin-Chun Lin; Institute of Statistical Science, Academia Sinica
  • Chiun-How Kao; Institute of Statistical Science, Academia Sinica
  • James C. Liao; Institute of Biological Chemistry, Academia Sinica
Preprint em Inglês | bioRxiv | ID: ppbiorxiv-055863
ABSTRACT
The COVID-19 pandemic is the most significant public health issue in recent history. Its causal agent, SARS-CoV-2, has evolved rapidly since its first emergence in December 2019. Mutations in the viral genome have critical impacts on the adaptation of viral strains to the local environment, and may alter the characteristics of viral transmission, disease manifestation, and the efficacy of treatment and vaccination. Using the complete sequences of 1,932 SARS-CoV-2 genomes, we examined the genomic, geographic and temporal distributions of aged, new, and frequent mutations of SARS-CoV-2, and identified six phylogenetic clusters of the strains, which also exhibit a geographic preference in different continents. Mutations in the form of single nucleotide variations (SNVs) provide a direct interpretation for the six phylogenetic clusters. Linkage disequilibrium, haplotype structure, evolutionary process, global distribution of mutations unveiled a sketch of the mutational history. Additionally, we found a positive correlation between the average mutation count and case fatality, and this correlation had strengthened with time, suggesting an important role of SNVs on disease outcomes. This study suggests that SNVs may become an important consideration in virus detection, clinical treatment, drug design, and vaccine development to avoid target shifting, and that continued isolation and sequencing is a crucial component in the fight against this pandemic. Significance StatementMutation is the driving force of evolution for viruses like SARS-CoV-2, the causal agent of COVID-19. In this study, we discovered that the genome of SARS-CoV-2 is changing rapidly from the originally isolated form. These mutations have been spreading around the world and caused more than 2.5 million of infected cases and 170 thousands of deaths. We found that fourteen frequent mutations identified in this study can characterize the six main clusters of SARS-CoV-2 strains. In addition, we found the mutation burden is positively correlated with the fatality of COVID-19 patients. Understanding mutations in the SARS-CoV-2 genome will provide useful insight for the design of treatment and vaccination.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Tipo de estudo: Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Tipo de estudo: Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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