Literature DB >> 34749522

Structural analysis of SARS-Cov-2 nonstructural protein 1 polymorphisms found in the Brazilian Amazon.

Fernando Berton Zanchi1,2,3, Luis André Mariúba4,5,6,7, Valdinete Nascimento6,7,8, Victor Souza6,7,8, André Corado6,7, Fernanda Nascimento6,9, Ágatha Kelly Costa6, Débora Duarte6, George Silva6, Matilde Mejía6, Karina Pessoa6,9, Luciana Gonçalves10, Maria Júlia Brandão6, Michele Jesus6, Juliane Glória4,6, Marineide Silva10, Tirza Mattos10, Cristiano da Costa10, Felipe Gomes Naveca5,6,7,8,9.   

Abstract

The coronavirus disease COVID-19 has been the cause of millions of deaths worldwide. Among the SARS-CoV-2 proteins, the non-structural protein 1 (NSP1) has great importance during the virus infection process and is present in both alpha and beta-CoVs. Therefore, monitoring of NSP1 polymorphisms is crucial in order to understand their role during infection and virus-induced pathogenicity. Herein, we analyzed how mutations detected in the circulating SARS-CoV-2 in the population of the city of Manaus, Amazonas state, Brazil could modify the tertiary structure of the NSP1 protein. Three mutations were detected in the SARS-CoV-2 NSP1 gene: deletion of the amino acids KSF from positions 141 to 143 (delKSF), SARS-CoV-2, lineage B.1.195; and two substitutions, R29H and R43C, SARS-CoV-2 lineage B.1.1.28 and B.1.1.33, respectively. The delKSF was found in 47 samples, whereas R29H and R43C were found in two samples, one for each mutation. The NSP1 structures carrying the mutations R43C and R29H on the N-terminal portion (e.g. residues 10 to 127) showed minor backbone divergence compared to the Wuhan model. However, the NSP1 C-terminal region (residues 145 to 180) was severely affected in the delKSF and R29H mutants. The intermediate variable region (residues 144 to 148) leads to changes in the C-terminal region, particularly in the delKSF structure. New investigations must be carried out to analyze how these changes affect NSP1 activity during the infection. Our results reinforce the need for continuous genomic surveillance of SARS-CoV-2 to better understand virus evolution and assess the potential impact of the viral mutations on the approved vaccines and future therapies.

Entities:  

Keywords:  3D structure modeling; COVID-19; NSP1; SARS-CoV-2; coronavirus; polymorphism

Mesh:

Substances:

Year:  2021        PMID: 34749522      PMCID: PMC8581826          DOI: 10.1177/15353702211021348

Source DB:  PubMed          Journal:  Exp Biol Med (Maywood)        ISSN: 1535-3699


  23 in total

1.  Novel beta-barrel fold in the nuclear magnetic resonance structure of the replicase nonstructural protein 1 from the severe acute respiratory syndrome coronavirus.

Authors:  Marcius S Almeida; Margaret A Johnson; Torsten Herrmann; Michael Geralt; Kurt Wüthrich
Journal:  J Virol       Date:  2007-01-03       Impact factor: 5.103

2.  Comparative Protein Structure Modeling Using MODELLER.

Authors:  Benjamin Webb; Andrej Sali
Journal:  Curr Protoc Bioinformatics       Date:  2016-06-20

3.  Structures of the human and Drosophila 80S ribosome.

Authors:  Andreas M Anger; Jean-Paul Armache; Otto Berninghausen; Michael Habeck; Marion Subklewe; Daniel N Wilson; Roland Beckmann
Journal:  Nature       Date:  2013-05-02       Impact factor: 49.962

4.  SARS-CoV-2 genetic diversity in Venezuela: Predominance of D614G variants and analysis of one outbreak.

Authors:  Carmen L Loureiro; Rossana C Jaspe; Pierina D Angelo; José L Zambrano; Lieska Rodriguez; Víctor Alarcon; Mariangel Delgado; Marwan Aguilar; Domingo Garzaro; Héctor R Rangel; Flor H Pujol
Journal:  PLoS One       Date:  2021-02-19       Impact factor: 3.240

5.  Nonstructural Protein 1 of SARS-CoV-2 Is a Potent Pathogenicity Factor Redirecting Host Protein Synthesis Machinery toward Viral RNA.

Authors:  Shuai Yuan; Lei Peng; Jonathan J Park; Yingxia Hu; Swapnil C Devarkar; Matthew B Dong; Qi Shen; Shenping Wu; Sidi Chen; Ivan B Lomakin; Yong Xiong
Journal:  Mol Cell       Date:  2020-10-29       Impact factor: 17.970

6.  Resurgence of COVID-19 in Manaus, Brazil, despite high seroprevalence.

Authors:  Ester C Sabino; Lewis F Buss; Maria P S Carvalho; Carlos A Prete; Myuki A E Crispim; Nelson A Fraiji; Rafael H M Pereira; Kris V Parag; Pedro da Silva Peixoto; Moritz U G Kraemer; Marcio K Oikawa; Tassila Salomon; Zulma M Cucunuba; Márcia C Castro; Andreza Aruska de Souza Santos; Vítor H Nascimento; Henrique S Pereira; Neil M Ferguson; Oliver G Pybus; Adam Kucharski; Michael P Busch; Christopher Dye; Nuno R Faria
Journal:  Lancet       Date:  2021-01-27       Impact factor: 79.321

7.  Comprehensive analysis of loops at protein-protein interfaces for macrocycle design.

Authors:  Jason Gavenonis; Bradley A Sheneman; Timothy R Siegert; Matthew R Eshelman; Joshua A Kritzer
Journal:  Nat Chem Biol       Date:  2014-07-20       Impact factor: 15.040

8.  Computational search for potential COVID-19 drugs from FDAapproved drugs and small molecules of natural origin identifies several anti-virals and plant products.

Authors:  Abhishek Sharma; Vikas Tiwari; Ramanathan Sowdhamini
Journal:  J Biosci       Date:  2020       Impact factor: 1.826

9.  Genomic and phylogenetic characterisation of an imported case of SARS-CoV-2 in Amazonas State, Brazil.

Authors:  Valdinete Alves do Nascimento; André de Lima Guerra Corado; Fernanda Oliveira do Nascimento; Ágatha Kelly Araújo da Costa; Debora Camila Gomes Duarte; Sérgio Luiz Bessa Luz; Luciana Mara Fé Gonçalves; Michele Silva de Jesus; Cristiano Fernandes da Costa; Edson Delatorre; Felipe Gomes Naveca
Journal:  Mem Inst Oswaldo Cruz       Date:  2020-09-25       Impact factor: 2.743

10.  Identification of potential drugs against SARS-CoV-2 non-structural protein 1 (nsp1).

Authors:  Gabriela de Lima Menezes; Roosevelt Alves da Silva
Journal:  J Biomol Struct Dyn       Date:  2020-07-13
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.