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Genomic Surveillance and Phylodynamic Analyses Reveal the Emergence of Novel Mutations and Co-mutation Patterns Within SARS-CoV-2 Variants Prevalent in India
Identification of the genomic diversity and the phylodynamic profiles of prevalent variants is critical to understand the evolution and spread of SARS-CoV-2 variants. We performed whole-genome sequencing of 54 SARS-CoV-2 variants collected from COVID-19 patients in Kolkata, West Bengal during August...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358439/ https://www.ncbi.nlm.nih.gov/pubmed/34394051 http://dx.doi.org/10.3389/fmicb.2021.703933 |
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author | Biswas, Nupur Mallick, Priyanka Maity, Sujay Krishna Bhowmik, Debaleena Mitra, Arpita Ghosh Saha, Soumen Roy, Aviral Chakrabarti, Partha Paul, Sandip Chakrabarti, Saikat |
author_facet | Biswas, Nupur Mallick, Priyanka Maity, Sujay Krishna Bhowmik, Debaleena Mitra, Arpita Ghosh Saha, Soumen Roy, Aviral Chakrabarti, Partha Paul, Sandip Chakrabarti, Saikat |
author_sort | Biswas, Nupur |
collection | PubMed |
description | Identification of the genomic diversity and the phylodynamic profiles of prevalent variants is critical to understand the evolution and spread of SARS-CoV-2 variants. We performed whole-genome sequencing of 54 SARS-CoV-2 variants collected from COVID-19 patients in Kolkata, West Bengal during August–October 2020. Phylogeographic and phylodynamic analyses were performed using these 54 and other sequences from India and abroad that are available in the GISAID database. We estimated the clade dynamics of the Indian variants and compared the clade-specific mutations and the co-mutation patterns across states and union territories of India over the time course. Frequent mutations and co-mutations observed within the major clades across time periods do not show much overlap, indicating the emergence of newer mutations in the viral population prevailing in the country. Furthermore, we explored the possible association of specific mutations and co-mutations with the infection outcomes manifested in Indian patients. |
format | Online Article Text |
id | pubmed-8358439 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83584392021-08-13 Genomic Surveillance and Phylodynamic Analyses Reveal the Emergence of Novel Mutations and Co-mutation Patterns Within SARS-CoV-2 Variants Prevalent in India Biswas, Nupur Mallick, Priyanka Maity, Sujay Krishna Bhowmik, Debaleena Mitra, Arpita Ghosh Saha, Soumen Roy, Aviral Chakrabarti, Partha Paul, Sandip Chakrabarti, Saikat Front Microbiol Microbiology Identification of the genomic diversity and the phylodynamic profiles of prevalent variants is critical to understand the evolution and spread of SARS-CoV-2 variants. We performed whole-genome sequencing of 54 SARS-CoV-2 variants collected from COVID-19 patients in Kolkata, West Bengal during August–October 2020. Phylogeographic and phylodynamic analyses were performed using these 54 and other sequences from India and abroad that are available in the GISAID database. We estimated the clade dynamics of the Indian variants and compared the clade-specific mutations and the co-mutation patterns across states and union territories of India over the time course. Frequent mutations and co-mutations observed within the major clades across time periods do not show much overlap, indicating the emergence of newer mutations in the viral population prevailing in the country. Furthermore, we explored the possible association of specific mutations and co-mutations with the infection outcomes manifested in Indian patients. Frontiers Media S.A. 2021-07-29 /pmc/articles/PMC8358439/ /pubmed/34394051 http://dx.doi.org/10.3389/fmicb.2021.703933 Text en Copyright © 2021 Biswas, Mallick, Maity, Bhowmik, Mitra, Saha, Roy, Chakrabarti, Paul and Chakrabarti. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Biswas, Nupur Mallick, Priyanka Maity, Sujay Krishna Bhowmik, Debaleena Mitra, Arpita Ghosh Saha, Soumen Roy, Aviral Chakrabarti, Partha Paul, Sandip Chakrabarti, Saikat Genomic Surveillance and Phylodynamic Analyses Reveal the Emergence of Novel Mutations and Co-mutation Patterns Within SARS-CoV-2 Variants Prevalent in India |
title | Genomic Surveillance and Phylodynamic Analyses Reveal the Emergence of Novel Mutations and Co-mutation Patterns Within SARS-CoV-2 Variants Prevalent in India |
title_full | Genomic Surveillance and Phylodynamic Analyses Reveal the Emergence of Novel Mutations and Co-mutation Patterns Within SARS-CoV-2 Variants Prevalent in India |
title_fullStr | Genomic Surveillance and Phylodynamic Analyses Reveal the Emergence of Novel Mutations and Co-mutation Patterns Within SARS-CoV-2 Variants Prevalent in India |
title_full_unstemmed | Genomic Surveillance and Phylodynamic Analyses Reveal the Emergence of Novel Mutations and Co-mutation Patterns Within SARS-CoV-2 Variants Prevalent in India |
title_short | Genomic Surveillance and Phylodynamic Analyses Reveal the Emergence of Novel Mutations and Co-mutation Patterns Within SARS-CoV-2 Variants Prevalent in India |
title_sort | genomic surveillance and phylodynamic analyses reveal the emergence of novel mutations and co-mutation patterns within sars-cov-2 variants prevalent in india |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358439/ https://www.ncbi.nlm.nih.gov/pubmed/34394051 http://dx.doi.org/10.3389/fmicb.2021.703933 |
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