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Genomic epidemiology of SARS-CoV-2 from Uttar Pradesh, India

The various strains and mutations of SARS-CoV-2 have been tracked using several forms of genomic classification systems. The present study reports high-throughput sequencing and analysis of 99 SARS-CoV-2 specimens from Western Uttar Pradesh using sequences obtained from the GISAID database, followed...

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Autores principales: Misra, Gauri, Manzoor, Ashrat, Chopra, Meenu, Upadhyay, Archana, Katiyar, Amit, Bhushan, Brij, Anvikar, Anup
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491582/
https://www.ncbi.nlm.nih.gov/pubmed/37684328
http://dx.doi.org/10.1038/s41598-023-42065-6
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author Misra, Gauri
Manzoor, Ashrat
Chopra, Meenu
Upadhyay, Archana
Katiyar, Amit
Bhushan, Brij
Anvikar, Anup
author_facet Misra, Gauri
Manzoor, Ashrat
Chopra, Meenu
Upadhyay, Archana
Katiyar, Amit
Bhushan, Brij
Anvikar, Anup
author_sort Misra, Gauri
collection PubMed
description The various strains and mutations of SARS-CoV-2 have been tracked using several forms of genomic classification systems. The present study reports high-throughput sequencing and analysis of 99 SARS-CoV-2 specimens from Western Uttar Pradesh using sequences obtained from the GISAID database, followed by phylogeny and clade classification. Phylogenetic analysis revealed that Omicron lineages BA-2-like (55.55%) followed by Delta lineage-B.1.617.2 (45.5%) were predominantly circulating in this area Signature substitution at positions S: N501Y, S: D614G, S: T478K, S: K417N, S: E484A, S: P681H, and S: S477N were commonly detected in the Omicron variant-BA-2-like, however S: D614G, S: L452R, S: P681R and S: D950N were confined to Delta variant-B.1.617.2. We have also identified three escape variants in the S gene at codon position 19 (T19I/R), 484 (E484A/Q), and 681 (P681R/H) during the fourth and fifth waves in India. Based on the phylogenetic diversification studies and similar changes in other lineages, our analysis revealed indications of convergent evolution as the virus adjusts to the shifting immunological profile of its human host. To the best of our knowledge, this study is an approach to comprehensively map the circulating SARS-CoV-2 strains from Western Uttar Pradesh using an integrated approach of whole genome sequencing and phylogenetic analysis. These findings will be extremely valuable in developing a structured approach toward pandemic preparedness and evidence-based intervention plans in the future.
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spelling pubmed-104915822023-09-10 Genomic epidemiology of SARS-CoV-2 from Uttar Pradesh, India Misra, Gauri Manzoor, Ashrat Chopra, Meenu Upadhyay, Archana Katiyar, Amit Bhushan, Brij Anvikar, Anup Sci Rep Article The various strains and mutations of SARS-CoV-2 have been tracked using several forms of genomic classification systems. The present study reports high-throughput sequencing and analysis of 99 SARS-CoV-2 specimens from Western Uttar Pradesh using sequences obtained from the GISAID database, followed by phylogeny and clade classification. Phylogenetic analysis revealed that Omicron lineages BA-2-like (55.55%) followed by Delta lineage-B.1.617.2 (45.5%) were predominantly circulating in this area Signature substitution at positions S: N501Y, S: D614G, S: T478K, S: K417N, S: E484A, S: P681H, and S: S477N were commonly detected in the Omicron variant-BA-2-like, however S: D614G, S: L452R, S: P681R and S: D950N were confined to Delta variant-B.1.617.2. We have also identified three escape variants in the S gene at codon position 19 (T19I/R), 484 (E484A/Q), and 681 (P681R/H) during the fourth and fifth waves in India. Based on the phylogenetic diversification studies and similar changes in other lineages, our analysis revealed indications of convergent evolution as the virus adjusts to the shifting immunological profile of its human host. To the best of our knowledge, this study is an approach to comprehensively map the circulating SARS-CoV-2 strains from Western Uttar Pradesh using an integrated approach of whole genome sequencing and phylogenetic analysis. These findings will be extremely valuable in developing a structured approach toward pandemic preparedness and evidence-based intervention plans in the future. Nature Publishing Group UK 2023-09-08 /pmc/articles/PMC10491582/ /pubmed/37684328 http://dx.doi.org/10.1038/s41598-023-42065-6 Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Misra, Gauri
Manzoor, Ashrat
Chopra, Meenu
Upadhyay, Archana
Katiyar, Amit
Bhushan, Brij
Anvikar, Anup
Genomic epidemiology of SARS-CoV-2 from Uttar Pradesh, India
title Genomic epidemiology of SARS-CoV-2 from Uttar Pradesh, India
title_full Genomic epidemiology of SARS-CoV-2 from Uttar Pradesh, India
title_fullStr Genomic epidemiology of SARS-CoV-2 from Uttar Pradesh, India
title_full_unstemmed Genomic epidemiology of SARS-CoV-2 from Uttar Pradesh, India
title_short Genomic epidemiology of SARS-CoV-2 from Uttar Pradesh, India
title_sort genomic epidemiology of sars-cov-2 from uttar pradesh, india
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491582/
https://www.ncbi.nlm.nih.gov/pubmed/37684328
http://dx.doi.org/10.1038/s41598-023-42065-6
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