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      Annotating Spike Protein Polymorphic Amino Acids of Variants of SARS-CoV-2, Including Omicron

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          Abstract

          The prolonged global spread and community transmission of severe acute respiratory syndrome virus 2 (SARS-CoV-2) has led to the emergence of variants and brought questions regarding disease severity and vaccine effectiveness. We conducted simple bioinformatics on the spike gene of a representative of each variant. The data show that a number of polymorphic amino acids are located mostly on the amino-terminal side of the S1/S2 cleavage site. The Omicron variant diverges from the others, with the highest number of amino acid substitutions, including the receptor-binding site (RBS), epitopes, S1/S2 cleavage site, fusion peptide, and heptad repeat 1. The current sharp global increase in the frequency of the Omicron genome constitutes evidence of its high community transmissibility. In conclusion, the proposed guideline could give an immediate insight of the probable biological nature of any variant of SARS-Cov-2. As the Omicron diverged the farthest from the original pandemic strain, Wuhan-Hu-1, we expect different epidemiological and clinical patterns of Omicron cases. On vaccine efficacy, slight changes in some epitopes while others are conserved should not lead to a significant reduction in the effectiveness of an approved vaccine.

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          Most cited references37

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          MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

          The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
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            A new coronavirus associated with human respiratory disease in China

            Emerging infectious diseases, such as severe acute respiratory syndrome (SARS) and Zika virus disease, present a major threat to public health 1–3 . Despite intense research efforts, how, when and where new diseases appear are still a source of considerable uncertainty. A severe respiratory disease was recently reported in Wuhan, Hubei province, China. As of 25 January 2020, at least 1,975 cases had been reported since the first patient was hospitalized on 12 December 2019. Epidemiological investigations have suggested that the outbreak was associated with a seafood market in Wuhan. Here we study a single patient who was a worker at the market and who was admitted to the Central Hospital of Wuhan on 26 December 2019 while experiencing a severe respiratory syndrome that included fever, dizziness and a cough. Metagenomic RNA sequencing 4 of a sample of bronchoalveolar lavage fluid from the patient identified a new RNA virus strain from the family Coronaviridae, which is designated here ‘WH-Human 1’ coronavirus (and has also been referred to as ‘2019-nCoV’). Phylogenetic analysis of the complete viral genome (29,903 nucleotides) revealed that the virus was most closely related (89.1% nucleotide similarity) to a group of SARS-like coronaviruses (genus Betacoronavirus, subgenus Sarbecovirus) that had previously been found in bats in China 5 . This outbreak highlights the ongoing ability of viral spill-over from animals to cause severe disease in humans.
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              The neighbor-joining method: a new method for reconstructing phylogenetic trees.

              N Saitou, M Nei (1987)
              A new method called the neighbor-joining method is proposed for reconstructing phylogenetic trees from evolutionary distance data. The principle of this method is to find pairs of operational taxonomic units (OTUs [= neighbors]) that minimize the total branch length at each stage of clustering of OTUs starting with a starlike tree. The branch lengths as well as the topology of a parsimonious tree can quickly be obtained by using this method. Using computer simulation, we studied the efficiency of this method in obtaining the correct unrooted tree in comparison with that of five other tree-making methods: the unweighted pair group method of analysis, Farris's method, Sattath and Tversky's method, Li's method, and Tateno et al.'s modified Farris method. The new, neighbor-joining method and Sattath and Tversky's method are shown to be generally better than the other methods.
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                Author and article information

                Contributors
                Journal
                Biochem Res Int
                Biochem Res Int
                BRI
                Biochemistry Research International
                Hindawi
                2090-2247
                2090-2255
                2022
                11 April 2022
                : 2022
                : 2164749
                Affiliations
                1The Animal Biomedical and Molecular Biology Laboratory, Udayana University, Jl. Sesetan-Markisa 6A, Denpasar 80223, Bali, Indonesia
                2The Department of Obstetrics and Genecology, The Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia
                3The Animal Biomedical and Molecular Biology Laboratory, Udayana University, Jl. Sesetan-Markisa 6A, Denpasar 80223, Bali, Indonesia
                4Virology Laboratory, The Faculty of Veterinary Medicine, Udayana University, Denpasar, Bali, Indonesia
                5The Biology Study Program, The Faculty of Mathematic and Natural Science, Udayana University, Kampus Bukit Jimbaran, Badung, Bali, Indonesia
                Author notes

                Academic Editor: Saleh Ahmed Mohamed

                Author information
                https://orcid.org/0000-0001-5525-0793
                https://orcid.org/0000-0001-9336-8186
                https://orcid.org/0000-0002-8551-2675
                https://orcid.org/0000-0002-7385-5240
                https://orcid.org/0000-0002-3064-4582
                Article
                10.1155/2022/2164749
                9017565
                35450296
                956adf4d-95ad-442f-b205-d20165dd9008
                Copyright © 2022 Gusti Ngurah Mahardika et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 30 January 2022
                : 24 March 2022
                Funding
                Funded by: Research, Technology and Higher Education (RISTEKDIKTI) of Indonesia
                Categories
                Research Article

                Biochemistry
                Biochemistry

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