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Emerging Mutations in Nsp1 of SARS-CoV-2 and Their Effect on the Structural Stability

The genome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) encodes 16 non-structural (Nsp) and 4 structural proteins. Among the Nsps, Nsp1 inhibits host gene expression and also evades the immune system. This protein has been proposed as a target for vaccine development and also for...

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Autores principales: Mou, Kejie, Mukhtar, Farwa, Khan, Muhammad Tahir, Darwish, Doaa B., Peng, Shaoliang, Muhammad, Shabbir, Al-Sehemi, Abdullah G., Wei, Dong-Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8539063/
https://www.ncbi.nlm.nih.gov/pubmed/34684233
http://dx.doi.org/10.3390/pathogens10101285
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author Mou, Kejie
Mukhtar, Farwa
Khan, Muhammad Tahir
Darwish, Doaa B.
Peng, Shaoliang
Muhammad, Shabbir
Al-Sehemi, Abdullah G.
Wei, Dong-Qing
author_facet Mou, Kejie
Mukhtar, Farwa
Khan, Muhammad Tahir
Darwish, Doaa B.
Peng, Shaoliang
Muhammad, Shabbir
Al-Sehemi, Abdullah G.
Wei, Dong-Qing
author_sort Mou, Kejie
collection PubMed
description The genome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) encodes 16 non-structural (Nsp) and 4 structural proteins. Among the Nsps, Nsp1 inhibits host gene expression and also evades the immune system. This protein has been proposed as a target for vaccine development and also for drug design. Owing to its important role, the current study aimed to identify mutations in Nsp1 and their effect on protein stability and flexibility. This is the first comprehensive study in which 295,000 complete genomes have been screened for mutations after alignment with the Wuhan-Hu-1 reference genome (Accession NC_045512), using the CoVsurver app. The sequences harbored 933 mutations in the entire coding region of Nsp1. The most frequently occurring mutation in the 180-amino-acid Nsp1 protein was R24C (n = 1122), followed by D75E (n = 890), D48G (n = 881), H110Y (n = 860), and D144A (n = 648). Among the 933 non-synonymous mutations, 529 exhibited a destabilizing effect. Similarly, a gain in flexibility was observed in 542 mutations. The majority of the most frequent mutations were detected in the loop regions. These findings imply that Nsp1 mutations might be useful to exploit SARS-CoV-2′s pathogenicity. Genomic sequencing of SARS-CoV-2 on a regular basis will further assist in analyzing variations among the drug targets and to test the diagnostic accuracy. This wide range of mutations and their effect on Nsp1’s stability may have some consequences for the host’s innate immune response to SARS-CoV-2 infection and also for the vaccines’ efficacy. Based on this mutational information, geographically strain-specific drugs, vaccines, and antibody combinations could be a useful strategy against SARS-CoV-2 infection.
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spelling pubmed-85390632021-10-24 Emerging Mutations in Nsp1 of SARS-CoV-2 and Their Effect on the Structural Stability Mou, Kejie Mukhtar, Farwa Khan, Muhammad Tahir Darwish, Doaa B. Peng, Shaoliang Muhammad, Shabbir Al-Sehemi, Abdullah G. Wei, Dong-Qing Pathogens Article The genome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) encodes 16 non-structural (Nsp) and 4 structural proteins. Among the Nsps, Nsp1 inhibits host gene expression and also evades the immune system. This protein has been proposed as a target for vaccine development and also for drug design. Owing to its important role, the current study aimed to identify mutations in Nsp1 and their effect on protein stability and flexibility. This is the first comprehensive study in which 295,000 complete genomes have been screened for mutations after alignment with the Wuhan-Hu-1 reference genome (Accession NC_045512), using the CoVsurver app. The sequences harbored 933 mutations in the entire coding region of Nsp1. The most frequently occurring mutation in the 180-amino-acid Nsp1 protein was R24C (n = 1122), followed by D75E (n = 890), D48G (n = 881), H110Y (n = 860), and D144A (n = 648). Among the 933 non-synonymous mutations, 529 exhibited a destabilizing effect. Similarly, a gain in flexibility was observed in 542 mutations. The majority of the most frequent mutations were detected in the loop regions. These findings imply that Nsp1 mutations might be useful to exploit SARS-CoV-2′s pathogenicity. Genomic sequencing of SARS-CoV-2 on a regular basis will further assist in analyzing variations among the drug targets and to test the diagnostic accuracy. This wide range of mutations and their effect on Nsp1’s stability may have some consequences for the host’s innate immune response to SARS-CoV-2 infection and also for the vaccines’ efficacy. Based on this mutational information, geographically strain-specific drugs, vaccines, and antibody combinations could be a useful strategy against SARS-CoV-2 infection. MDPI 2021-10-06 /pmc/articles/PMC8539063/ /pubmed/34684233 http://dx.doi.org/10.3390/pathogens10101285 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mou, Kejie
Mukhtar, Farwa
Khan, Muhammad Tahir
Darwish, Doaa B.
Peng, Shaoliang
Muhammad, Shabbir
Al-Sehemi, Abdullah G.
Wei, Dong-Qing
Emerging Mutations in Nsp1 of SARS-CoV-2 and Their Effect on the Structural Stability
title Emerging Mutations in Nsp1 of SARS-CoV-2 and Their Effect on the Structural Stability
title_full Emerging Mutations in Nsp1 of SARS-CoV-2 and Their Effect on the Structural Stability
title_fullStr Emerging Mutations in Nsp1 of SARS-CoV-2 and Their Effect on the Structural Stability
title_full_unstemmed Emerging Mutations in Nsp1 of SARS-CoV-2 and Their Effect on the Structural Stability
title_short Emerging Mutations in Nsp1 of SARS-CoV-2 and Their Effect on the Structural Stability
title_sort emerging mutations in nsp1 of sars-cov-2 and their effect on the structural stability
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8539063/
https://www.ncbi.nlm.nih.gov/pubmed/34684233
http://dx.doi.org/10.3390/pathogens10101285
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