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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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Autores principales: Saha, Indrajit, Ghosh, Nimisha, Sharma , Nikhil, Nandi, Suman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
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.
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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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