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Genomic surveillance, evolution and global transmission of SARS-CoV-2 during 2019–2022
In spite of the availability of vaccine, the health burden associated with the COVID-19 pandemic continues to increase. An estimated 5 million people have died with SARS-CoV-2 infection. Analysis of evolution and genomic diversity can provide sufficient information to reduce the health burden of the...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9342790/ https://www.ncbi.nlm.nih.gov/pubmed/35913920 http://dx.doi.org/10.1371/journal.pone.0271074 |
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author | Sharif, Nadim Alzahrani, Khalid J. Ahmed, Shamsun Nahar Khan, Afsana Banjer, Hamsa Jameel Alzahrani, Fuad M. Parvez, Anowar Khasru Dey, Shuvra Kanti |
author_facet | Sharif, Nadim Alzahrani, Khalid J. Ahmed, Shamsun Nahar Khan, Afsana Banjer, Hamsa Jameel Alzahrani, Fuad M. Parvez, Anowar Khasru Dey, Shuvra Kanti |
author_sort | Sharif, Nadim |
collection | PubMed |
description | In spite of the availability of vaccine, the health burden associated with the COVID-19 pandemic continues to increase. An estimated 5 million people have died with SARS-CoV-2 infection. Analysis of evolution and genomic diversity can provide sufficient information to reduce the health burden of the pandemic. This study focused to conduct worldwide genomic surveillance. About 7.6 million genomic data were analyzed during 2019 to 2022. Multiple sequence alignment was conducted by using maximum likelihood method. Clade GK (52%) was the most predominant followed by GRY (12%), GRA (11%), GR (8%), GH (7%), G (6%), GV (3%), and O (1%), respectively. VOC Delta (66%) was the most prevalent variant followed by VOC Alpha (18%), VOC Omicron (13%), VOC Gamma (2%) and VOC Beta (1%), respectively. The frequency of point mutations including E484K, N501Y, N439K, and L452R at spike protein has increased 10%-92%. Evolutionary rate of the variants was 23.7 substitution per site per year. Substitution mutations E484K and N501Y had significant correlation with cases (r = .45, r = .23), fatalities (r = .15, r = .44) and growth rate R(0) (r = .28, r = .54). This study will help to understand the genomic diversity, evolution and the impact of the variants on the outcome of the COVID-19 pandemic. |
format | Online Article Text |
id | pubmed-9342790 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-93427902022-08-02 Genomic surveillance, evolution and global transmission of SARS-CoV-2 during 2019–2022 Sharif, Nadim Alzahrani, Khalid J. Ahmed, Shamsun Nahar Khan, Afsana Banjer, Hamsa Jameel Alzahrani, Fuad M. Parvez, Anowar Khasru Dey, Shuvra Kanti PLoS One Research Article In spite of the availability of vaccine, the health burden associated with the COVID-19 pandemic continues to increase. An estimated 5 million people have died with SARS-CoV-2 infection. Analysis of evolution and genomic diversity can provide sufficient information to reduce the health burden of the pandemic. This study focused to conduct worldwide genomic surveillance. About 7.6 million genomic data were analyzed during 2019 to 2022. Multiple sequence alignment was conducted by using maximum likelihood method. Clade GK (52%) was the most predominant followed by GRY (12%), GRA (11%), GR (8%), GH (7%), G (6%), GV (3%), and O (1%), respectively. VOC Delta (66%) was the most prevalent variant followed by VOC Alpha (18%), VOC Omicron (13%), VOC Gamma (2%) and VOC Beta (1%), respectively. The frequency of point mutations including E484K, N501Y, N439K, and L452R at spike protein has increased 10%-92%. Evolutionary rate of the variants was 23.7 substitution per site per year. Substitution mutations E484K and N501Y had significant correlation with cases (r = .45, r = .23), fatalities (r = .15, r = .44) and growth rate R(0) (r = .28, r = .54). This study will help to understand the genomic diversity, evolution and the impact of the variants on the outcome of the COVID-19 pandemic. Public Library of Science 2022-08-01 /pmc/articles/PMC9342790/ /pubmed/35913920 http://dx.doi.org/10.1371/journal.pone.0271074 Text en © 2022 Sharif et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Sharif, Nadim Alzahrani, Khalid J. Ahmed, Shamsun Nahar Khan, Afsana Banjer, Hamsa Jameel Alzahrani, Fuad M. Parvez, Anowar Khasru Dey, Shuvra Kanti Genomic surveillance, evolution and global transmission of SARS-CoV-2 during 2019–2022 |
title | Genomic surveillance, evolution and global transmission of SARS-CoV-2 during 2019–2022 |
title_full | Genomic surveillance, evolution and global transmission of SARS-CoV-2 during 2019–2022 |
title_fullStr | Genomic surveillance, evolution and global transmission of SARS-CoV-2 during 2019–2022 |
title_full_unstemmed | Genomic surveillance, evolution and global transmission of SARS-CoV-2 during 2019–2022 |
title_short | Genomic surveillance, evolution and global transmission of SARS-CoV-2 during 2019–2022 |
title_sort | genomic surveillance, evolution and global transmission of sars-cov-2 during 2019–2022 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9342790/ https://www.ncbi.nlm.nih.gov/pubmed/35913920 http://dx.doi.org/10.1371/journal.pone.0271074 |
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