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Hotspot Mutations in SARS-CoV-2
Since its emergence in Wuhan, China, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has spread very rapidly around the world, resulting in a global pandemic. Though the vaccination process has started, the number of COVID-affected patients is still quite large. Hence, an analysis of ho...
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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/PMC8667557/ https://www.ncbi.nlm.nih.gov/pubmed/34912372 http://dx.doi.org/10.3389/fgene.2021.753440 |
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author | Saha, Indrajit Ghosh, Nimisha Sharma , Nikhil Nandi, Suman |
author_facet | Saha, Indrajit Ghosh, Nimisha Sharma , Nikhil Nandi, Suman |
author_sort | Saha, Indrajit |
collection | PubMed |
description | Since its emergence in Wuhan, China, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has spread very rapidly around the world, resulting in a global pandemic. Though the vaccination process has started, the number of COVID-affected patients is still quite large. Hence, an analysis of hotspot mutations of the different evolving virus strains needs to be carried out. In this regard, multiple sequence alignment of 71,038 SARS-CoV-2 genomes of 98 countries over the period from January 2020 to June 2021 is performed using MAFFT followed by phylogenetic analysis in order to visualize the virus evolution. These steps resulted in the identification of hotspot mutations as deletions and substitutions in the coding regions based on entropy greater than or equal to 0.3, leading to a total of 45 unique hotspot mutations. Moreover, 10,286 Indian sequences are considered from 71,038 global SARS-CoV-2 sequences as a demonstrative example that gives 52 unique hotspot mutations. Furthermore, the evolution of the hotspot mutations along with the mutations in variants of concern is visualized, and their characteristics are discussed as well. Also, for all the non-synonymous substitutions (missense mutations), the functional consequences of amino acid changes in the respective protein structures are calculated using PolyPhen-2 and I-Mutant 2.0. In addition to this, SSIPe is used to report the binding affinity between the receptor-binding domain of Spike protein and human ACE2 protein by considering L452R, T478K, E484Q, and N501Y hotspot mutations in that region. |
format | Online Article Text |
id | pubmed-8667557 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86675572021-12-14 Hotspot Mutations in SARS-CoV-2 Saha, Indrajit Ghosh, Nimisha Sharma , Nikhil Nandi, Suman Front Genet Genetics Since its emergence in Wuhan, China, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has spread very rapidly around the world, resulting in a global pandemic. Though the vaccination process has started, the number of COVID-affected patients is still quite large. Hence, an analysis of hotspot mutations of the different evolving virus strains needs to be carried out. In this regard, multiple sequence alignment of 71,038 SARS-CoV-2 genomes of 98 countries over the period from January 2020 to June 2021 is performed using MAFFT followed by phylogenetic analysis in order to visualize the virus evolution. These steps resulted in the identification of hotspot mutations as deletions and substitutions in the coding regions based on entropy greater than or equal to 0.3, leading to a total of 45 unique hotspot mutations. Moreover, 10,286 Indian sequences are considered from 71,038 global SARS-CoV-2 sequences as a demonstrative example that gives 52 unique hotspot mutations. Furthermore, the evolution of the hotspot mutations along with the mutations in variants of concern is visualized, and their characteristics are discussed as well. Also, for all the non-synonymous substitutions (missense mutations), the functional consequences of amino acid changes in the respective protein structures are calculated using PolyPhen-2 and I-Mutant 2.0. In addition to this, SSIPe is used to report the binding affinity between the receptor-binding domain of Spike protein and human ACE2 protein by considering L452R, T478K, E484Q, and N501Y hotspot mutations in that region. Frontiers Media S.A. 2021-11-29 /pmc/articles/PMC8667557/ /pubmed/34912372 http://dx.doi.org/10.3389/fgene.2021.753440 Text en Copyright © 2021 Saha, Ghosh, Sharma and Nandi. 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 | Genetics Saha, Indrajit Ghosh, Nimisha Sharma , Nikhil Nandi, Suman Hotspot Mutations in SARS-CoV-2 |
title | Hotspot Mutations in SARS-CoV-2 |
title_full | Hotspot Mutations in SARS-CoV-2 |
title_fullStr | Hotspot Mutations in SARS-CoV-2 |
title_full_unstemmed | Hotspot Mutations in SARS-CoV-2 |
title_short | Hotspot Mutations in SARS-CoV-2 |
title_sort | hotspot mutations in sars-cov-2 |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667557/ https://www.ncbi.nlm.nih.gov/pubmed/34912372 http://dx.doi.org/10.3389/fgene.2021.753440 |
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