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      Genome characterization, phylogenomic assessment and spatio-temporal dynamics study of highly mutated BA variants from India

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          Abstract

          Purpose

          The emergence of highly mutated and transmissible BA variants has caused an unprecedented surge in COVID-19 infections worldwide. Thorough analysis of its genome structure and phylogenomic evolutionary details will serve as scientific reference for future research.

          Method

          Here, we have analyzed the BA variants from India using whole-genome sequencing, spike protein mutation study, spatio-temporal surveillance, phylogenomic assessment and epitope mapping.

          Results

          The predominance of BA.2/BA.2-like was observed in India during COVID-19 third wave. Genome analysis and mutation study highlighted the existence of 2128 amino acid changes within BA as compared to NC_045512.2. Presence of 23 unknown mutation sites (spanning region 61–831) were observed among the Indian BA variants as compared to the global BA strains. Unassigned probable Omicron showed the highest number of mutations (370) followed by BA.1 (104), BA.2.3 (56), and BA.2 (27). Presence of mutations ‘Q493R ​+ ​Q498R ​+ ​N501Y’, and ‘K417 ​N ​+ ​E484A ​+ ​N501Y’ remained exclusive to BA.2 as well as unassigned probable Omicron. The time-tree and phylogenomic network assessed the evolutionary relationship of the BA variants. Existence of 424 segregating sites and 113 parsimony informative sites within BA genomes were observed through haplotype network analysis. Epitope mapping depicted the presence of unique antigenic sites within the receptor binding domain of the BA variants that could be exploited for robust vaccine development.

          Conclusion

          These findings provide important scientific insights about the nature, diversity, and evolution of Indian BA variants. The study further divulges in the avenues of therapeutic upgradation for better management and eventual eradication of COVID-19.

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          Most cited references41

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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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            Tracking changes in SARS-CoV-2 Spike: evidence that D614G increases infectivity of the COVID-19 virus

            Summary A SARS-CoV-2 variant carrying the Spike protein amino acid change D614G has become the most prevalent form in the global pandemic. Dynamic tracking of variant frequencies revealed a recurrent pattern of G614 increase at multiple geographic levels: national, regional and municipal. The shift occurred even in local epidemics where the original D614 form was well established prior to the introduction of the G614 variant. The consistency of this pattern was highly statistically significant, suggesting that the G614 variant may have a fitness advantage. We found that the G614 variant grows to higher titer as pseudotyped virions. In infected individuals G614 is associated with lower RT-PCR cycle thresholds, suggestive of higher upper respiratory tract viral loads, although not with increased disease severity. These findings illuminate changes important for a mechanistic understanding of the virus, and support continuing surveillance of Spike mutations to aid in the development of immunological interventions.
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              popart: full-feature software for haplotype network construction

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                Author and article information

                Journal
                Indian J Med Microbiol
                Indian J Med Microbiol
                Indian Journal of Medical Microbiology
                Indian Association of Medical Microbiologists. Published by Elsevier B.V.
                0255-0857
                1998-3646
                15 November 2022
                15 November 2022
                Affiliations
                [a ]CSIR-Indian Institute of Chemical Biology (IICB), Kolkata, WB 700032, India
                [b ]IICB-Translational Research Unit of Excellence, Salt Lake, WB 700091, India
                [c ]MEDICA Super-specialty Hospital, Kolkata, India
                Author notes
                []Corresponding author. CSIR-Indian Institute of Chemical Biology (IICB), Kolkata, WB-700032, India
                Article
                S0255-0857(22)00232-8
                10.1016/j.ijmmb.2022.10.006
                9664238
                36400646
                b6d11fe4-03d8-4271-ad3a-5635357226d8
                © 2022 Indian Association of Medical Microbiologists. Published by Elsevier B.V. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 9 June 2022
                : 8 September 2022
                : 19 October 2022
                Categories
                Original Research Article

                ba.2/ba.2-like,omicron,sars-cov-2,whole genome sequencing (wgs),phylogenomic network

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