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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...

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Autores principales: Sharif, Nadim, Alzahrani, Khalid J., Ahmed, Shamsun Nahar, Khan, Afsana, Banjer, Hamsa Jameel, Alzahrani, Fuad M., Parvez, Anowar Khasru, Dey, Shuvra Kanti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
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.
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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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