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Basic Characteristics of Mutations
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Mutation Site
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G15S |
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Mutation Site Sentence
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The number of common substitution and deletion mutations (N P13L, N R203K, N S194L, N G204R, NSP6 L37F, NSP2 T85I, NS3 Q57H, NS3 V13L, NSP5 G15S, NS8 Q27stop, NS8 L84S, and NSP12 P323L) reduced to 54% (12/22) from 77% (17/22) in during July to December, 2021 (Fig 5 part H). |
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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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NSP5 |
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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
|
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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Clinical and Epidemiological Correlations
|
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Clinical Information
|
- |
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Treatment
|
- |
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Location
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- |
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Literature Information
|
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PMID
|
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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