Your browser doesn't support javascript.
loading
Emerging SARS-CoV-2 mutation hotspots associated with clinical outcomes
Xianwu Pang; Pu Li; Lifeng Zhang; Lusheng Que; Min Dong; Qihui Wang; Yinfeng Wei; Bo Xie; Xing Xie; Lanxiang Li; Chunyue Yin; Liuchun Wei; Qingniao Zhou; Yingfang Li; Lei Yu; Weidong Li; Zengnan Mo; Jing Leng; Yanling Hu.
Afiliação
  • Xianwu Pang; Guangxi Collaborative Innovation Center for Biomedicine (Guangxi-ASEAN Collaborative Innovation Center for Major Disease Prevention and Treatment), Guangxi Medi
  • Pu Li; PFOMIC Bioinformatics Company, Nanning 530004, China.
  • Lifeng Zhang; Guangxi Key Laboratory of Translational Medicine for Treating High-Incidence Infectious Diseases with Integrative Medicine, Guangxi University of Chinese Medici
  • Lusheng Que; no institution
  • Min Dong; School of Pharmacy, Guangxi Medical University, Nanning, Guangxi 530021, China.
  • Qihui Wang; School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, China.
  • Yinfeng Wei; Life Sciences Institute, Guangxi Medical University, Nanning, Guangxi 530021, China.
  • Bo Xie; School of Information and Management, Guangxi Medical University, Nanning, Guangxi 530021, China.
  • Xing Xie; Life Sciences Institute, Guangxi Medical University, Nanning, Guangxi 530021, China
  • Lanxiang Li; School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, China.
  • Chunyue Yin; The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, Guangxi 530021, China.
  • Liuchun Wei; The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, Guangxi 530021, China.
  • Qingniao Zhou; School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, China.
  • Yingfang Li; The Second Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, Guangxi 530021, China.
  • Lei Yu; Guangxi Medical University, Nanning, Guangxi 530021, China.
  • Weidong Li; Life Sciences Institute, Guangxi Medical University, Nanning, Guangxi 530021, China.
  • Zengnan Mo; Genomic Laboratoty Medical Research Centre, Guangxi Medical University, Nanning, Guangxi 530021, China.
  • Jing Leng; Guangxi Key Laboratory of Translational Medicine for Treating High-Incidence Infectious Diseases with Integrative Medicine, Guangxi University of Chinese Medici
  • Yanling Hu; Guangxi Collaborative Innovation Center for Biomedicine , Life Sciences Institute, School of Information and Management, Guangxi Medical University, Nanning, G
Preprint em Inglês | bioRxiv | ID: ppbiorxiv-437666
ABSTRACT
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of the ongoing coronavirus disease 2019 (COVID-19) pandemic. Understanding the influence of mutations in the SARS-CoV-2 gene on clinical outcomes and related factors is critical for treatment and prevention. Here, we analyzed 209,551 high-coverage complete virus sequences and 321 RNA-seq samples to mine the mutations associated with clinical outcome in the SARS-CoV-2 genome. Several important hotspot variants were found to be associated with severe clinical outcomes. Q57H variant in ORF3a protein were found to be associated with higher mortality rate, and was high proportion in severe cases (39.36%) and 501Y.V2 strains (100%) but poorly proportional to asymptomatic cases (10.04%). T265I could change nsp2 structure and mitochondrial permeability, and evidently higher in severe cases (20.12%) and 501Y.V2 strains (100%) but lower in asymptomatic cases (1.43%). Additionally, R203K and G204R could decrease the flexibility and immunogenic property of N protein with high frequency among severe cases, VUI 202012/01 and 484K.V2 strains. Interestingly, the SARS-CoV-2 genome was more susceptible to mutation because of the high frequency of nt14408 mutation (which located in RNA polymerase) and the high expression levels of ADAR and APOBEC in severe clinical outcomes. In conclusion, several important mutation hotspots in the SARS-CoV-2 genome associated with clinical outcomes was found in our study, and that might correlate with different SARS-CoV-2 mortality rates.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Tipo de estudo: Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Tipo de estudo: Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
...