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Basic Characteristics of Mutations
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Mutation Site
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T85I |
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Mutation Site Sentence
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In Americas, one peak of frequency of Q57H at NS3, one peak of frequency of T85I at NSP2 and another one of P323L at NSP12 were confined in a period of three months, April to June 2020 (Fig 4 part C). |
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Mutation Level
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Amino acid level |
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Mutation Type
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Nonsynonymous substitution |
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Gene/Protein/Region
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NSP2 |
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Standardized Encoding Gene
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ORF1a
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Genotype/Subtype
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- |
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Viral Reference
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NC_045512
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Functional Impact and Mechanisms
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Disease
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COVID-19
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Immune
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- |
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Target Gene
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-
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Clinical and Epidemiological Correlations
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Clinical Information
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- |
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Treatment
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- |
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Location
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- |
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Literature Information
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PMID
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35913920
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Title
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Genomic surveillance, evolution and global transmission of SARS-CoV-2 during 2019-2022
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Author
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Sharif N,Alzahrani KJ,Ahmed SN,Khan A,Banjer HJ,Alzahrani FM,Parvez AK,Dey SK
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Journal
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PloS one
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Journal Info
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2022 Aug 1;17(8):e0271074
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Abstract
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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 R0 (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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Sequence Data
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-
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