Cargando…
Molecular epidemiology analysis of early variants of SARS-CoV-2 reveals the potential impact of mutations P504L and Y541C (NSP13) in the clinical COVID-19 outcomes
Since severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused global pandemic with alarming speed, comprehensively analyzing the mutation and evolution of early SARS-CoV-2 strains contributes to detect and prevent such virus. Here, we explored 1962 high-quality genomes of early SARS-...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier B.V.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010360/ https://www.ncbi.nlm.nih.gov/pubmed/33798758 http://dx.doi.org/10.1016/j.meegid.2021.104831 |
_version_ | 1783673047490756608 |
---|---|
author | Cao, Canhui He, Liang Tian, Yuan Qin, Yu Sun, Haiyin Ding, Wencheng Gui, Lingli Wu, Peng |
author_facet | Cao, Canhui He, Liang Tian, Yuan Qin, Yu Sun, Haiyin Ding, Wencheng Gui, Lingli Wu, Peng |
author_sort | Cao, Canhui |
collection | PubMed |
description | Since severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused global pandemic with alarming speed, comprehensively analyzing the mutation and evolution of early SARS-CoV-2 strains contributes to detect and prevent such virus. Here, we explored 1962 high-quality genomes of early SARS-CoV-2 strains obtained from 42 countries before April 2020. The changing trends of genetic variations in SARS-CoV-2 strains over time and country were subsequently identified. In addition, viral genotype mapping and phylogenetic analysis were performed to identify the variation features of SARS-CoV-2. Results showed that 57.89% of genetic variations involved in ORF1ab, most of which (68.85%) were nonsynonymous. Haplotype maps and phylogenetic tree analysis showed that amino acid variations in ORF1ab (p.5828P > L and p.5865Y > C, also NSP13: P504L and NSP13: Y541C) were the important characteristics of such clade. Furthermore, these variants showed more significant aggregation in the United States (P = 2.92E-66, 95%) than in Australia or Canada, especially in strains from Washington State (P = 1.56E-23, 77.65%). Further analysis demonstrated that the report date of the variants was associated with the date of increased infections and the date of recovery and fatality rate change in the United States. More importantly, the fatality rate in Washington State was higher (4.13%) and showed poorer outcomes (P = 4.12E-21 in fatality rate, P = 3.64E-29 in death and recovered cases) than found in other states containing a small proportion of strains with such variants. Using sequence alignment, we found that variations at the 504 and 541 sites had functional effects on NSP13. In this study, we comprehensively analyzed genetic variations in SARS-CoV-2, gaining insights into amino acid variations in ORF1ab and COVID-19 outcomes. |
format | Online Article Text |
id | pubmed-8010360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80103602021-03-31 Molecular epidemiology analysis of early variants of SARS-CoV-2 reveals the potential impact of mutations P504L and Y541C (NSP13) in the clinical COVID-19 outcomes Cao, Canhui He, Liang Tian, Yuan Qin, Yu Sun, Haiyin Ding, Wencheng Gui, Lingli Wu, Peng Infect Genet Evol Research Paper Since severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused global pandemic with alarming speed, comprehensively analyzing the mutation and evolution of early SARS-CoV-2 strains contributes to detect and prevent such virus. Here, we explored 1962 high-quality genomes of early SARS-CoV-2 strains obtained from 42 countries before April 2020. The changing trends of genetic variations in SARS-CoV-2 strains over time and country were subsequently identified. In addition, viral genotype mapping and phylogenetic analysis were performed to identify the variation features of SARS-CoV-2. Results showed that 57.89% of genetic variations involved in ORF1ab, most of which (68.85%) were nonsynonymous. Haplotype maps and phylogenetic tree analysis showed that amino acid variations in ORF1ab (p.5828P > L and p.5865Y > C, also NSP13: P504L and NSP13: Y541C) were the important characteristics of such clade. Furthermore, these variants showed more significant aggregation in the United States (P = 2.92E-66, 95%) than in Australia or Canada, especially in strains from Washington State (P = 1.56E-23, 77.65%). Further analysis demonstrated that the report date of the variants was associated with the date of increased infections and the date of recovery and fatality rate change in the United States. More importantly, the fatality rate in Washington State was higher (4.13%) and showed poorer outcomes (P = 4.12E-21 in fatality rate, P = 3.64E-29 in death and recovered cases) than found in other states containing a small proportion of strains with such variants. Using sequence alignment, we found that variations at the 504 and 541 sites had functional effects on NSP13. In this study, we comprehensively analyzed genetic variations in SARS-CoV-2, gaining insights into amino acid variations in ORF1ab and COVID-19 outcomes. Published by Elsevier B.V. 2021-08 2021-03-31 /pmc/articles/PMC8010360/ /pubmed/33798758 http://dx.doi.org/10.1016/j.meegid.2021.104831 Text en © 2021 Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Research Paper Cao, Canhui He, Liang Tian, Yuan Qin, Yu Sun, Haiyin Ding, Wencheng Gui, Lingli Wu, Peng Molecular epidemiology analysis of early variants of SARS-CoV-2 reveals the potential impact of mutations P504L and Y541C (NSP13) in the clinical COVID-19 outcomes |
title | Molecular epidemiology analysis of early variants of SARS-CoV-2 reveals the potential impact of mutations P504L and Y541C (NSP13) in the clinical COVID-19 outcomes |
title_full | Molecular epidemiology analysis of early variants of SARS-CoV-2 reveals the potential impact of mutations P504L and Y541C (NSP13) in the clinical COVID-19 outcomes |
title_fullStr | Molecular epidemiology analysis of early variants of SARS-CoV-2 reveals the potential impact of mutations P504L and Y541C (NSP13) in the clinical COVID-19 outcomes |
title_full_unstemmed | Molecular epidemiology analysis of early variants of SARS-CoV-2 reveals the potential impact of mutations P504L and Y541C (NSP13) in the clinical COVID-19 outcomes |
title_short | Molecular epidemiology analysis of early variants of SARS-CoV-2 reveals the potential impact of mutations P504L and Y541C (NSP13) in the clinical COVID-19 outcomes |
title_sort | molecular epidemiology analysis of early variants of sars-cov-2 reveals the potential impact of mutations p504l and y541c (nsp13) in the clinical covid-19 outcomes |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010360/ https://www.ncbi.nlm.nih.gov/pubmed/33798758 http://dx.doi.org/10.1016/j.meegid.2021.104831 |
work_keys_str_mv | AT caocanhui molecularepidemiologyanalysisofearlyvariantsofsarscov2revealsthepotentialimpactofmutationsp504landy541cnsp13intheclinicalcovid19outcomes AT heliang molecularepidemiologyanalysisofearlyvariantsofsarscov2revealsthepotentialimpactofmutationsp504landy541cnsp13intheclinicalcovid19outcomes AT tianyuan molecularepidemiologyanalysisofearlyvariantsofsarscov2revealsthepotentialimpactofmutationsp504landy541cnsp13intheclinicalcovid19outcomes AT qinyu molecularepidemiologyanalysisofearlyvariantsofsarscov2revealsthepotentialimpactofmutationsp504landy541cnsp13intheclinicalcovid19outcomes AT sunhaiyin molecularepidemiologyanalysisofearlyvariantsofsarscov2revealsthepotentialimpactofmutationsp504landy541cnsp13intheclinicalcovid19outcomes AT dingwencheng molecularepidemiologyanalysisofearlyvariantsofsarscov2revealsthepotentialimpactofmutationsp504landy541cnsp13intheclinicalcovid19outcomes AT guilingli molecularepidemiologyanalysisofearlyvariantsofsarscov2revealsthepotentialimpactofmutationsp504landy541cnsp13intheclinicalcovid19outcomes AT wupeng molecularepidemiologyanalysisofearlyvariantsofsarscov2revealsthepotentialimpactofmutationsp504landy541cnsp13intheclinicalcovid19outcomes |