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Genome characterization, phylogenomic assessment and spatio-temporal dynamics study of highly mutated BA variants from India
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 ana...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Indian Association of Medical Microbiologists. Published by Elsevier B.V.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664238/ https://www.ncbi.nlm.nih.gov/pubmed/36400646 http://dx.doi.org/10.1016/j.ijmmb.2022.10.006 |
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author | Sarkar, Poulomi Banerjee, Sarthak Chakrabarti, Saikat Chakrabarti, Partha Bandyopadhyay, Arun Mitra, Arpita Ghosh Saha, Soumen Roy, Aviral Sarkar, Siddik |
author_facet | Sarkar, Poulomi Banerjee, Sarthak Chakrabarti, Saikat Chakrabarti, Partha Bandyopadhyay, Arun Mitra, Arpita Ghosh Saha, Soumen Roy, Aviral Sarkar, Siddik |
author_sort | Sarkar, Poulomi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9664238 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Indian Association of Medical Microbiologists. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96642382022-11-14 Genome characterization, phylogenomic assessment and spatio-temporal dynamics study of highly mutated BA variants from India Sarkar, Poulomi Banerjee, Sarthak Chakrabarti, Saikat Chakrabarti, Partha Bandyopadhyay, Arun Mitra, Arpita Ghosh Saha, Soumen Roy, Aviral Sarkar, Siddik Indian J Med Microbiol Original Research Article 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. Indian Association of Medical Microbiologists. Published by Elsevier B.V. 2023 2022-11-15 /pmc/articles/PMC9664238/ /pubmed/36400646 http://dx.doi.org/10.1016/j.ijmmb.2022.10.006 Text en © 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. |
spellingShingle | Original Research Article Sarkar, Poulomi Banerjee, Sarthak Chakrabarti, Saikat Chakrabarti, Partha Bandyopadhyay, Arun Mitra, Arpita Ghosh Saha, Soumen Roy, Aviral Sarkar, Siddik Genome characterization, phylogenomic assessment and spatio-temporal dynamics study of highly mutated BA variants from India |
title | Genome characterization, phylogenomic assessment and spatio-temporal dynamics study of highly mutated BA variants from India |
title_full | Genome characterization, phylogenomic assessment and spatio-temporal dynamics study of highly mutated BA variants from India |
title_fullStr | Genome characterization, phylogenomic assessment and spatio-temporal dynamics study of highly mutated BA variants from India |
title_full_unstemmed | Genome characterization, phylogenomic assessment and spatio-temporal dynamics study of highly mutated BA variants from India |
title_short | Genome characterization, phylogenomic assessment and spatio-temporal dynamics study of highly mutated BA variants from India |
title_sort | genome characterization, phylogenomic assessment and spatio-temporal dynamics study of highly mutated ba variants from india |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664238/ https://www.ncbi.nlm.nih.gov/pubmed/36400646 http://dx.doi.org/10.1016/j.ijmmb.2022.10.006 |
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