Cargando…
Mutations in SARS-CoV-2 structural proteins: a global analysis
BACKGROUND: Emergence of new variants mainly variants of concerns (VOC) is caused by mutations in main structural proteins of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Therefore, we aimed to investigate the mutations among structural proteins of SARS-CoV-2 globally. METHODS: We a...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759450/ https://www.ncbi.nlm.nih.gov/pubmed/36528612 http://dx.doi.org/10.1186/s12985-022-01951-7 |
_version_ | 1784852234846076928 |
---|---|
author | Abavisani, Mohammad Rahimian, Karim Mahdavi, Bahar Tokhanbigli, Samaneh Mollapour Siasakht, Mahsa Farhadi, Amin Kodori, Mansoor Mahmanzar, Mohammadamin Meshkat, Zahra |
author_facet | Abavisani, Mohammad Rahimian, Karim Mahdavi, Bahar Tokhanbigli, Samaneh Mollapour Siasakht, Mahsa Farhadi, Amin Kodori, Mansoor Mahmanzar, Mohammadamin Meshkat, Zahra |
author_sort | Abavisani, Mohammad |
collection | PubMed |
description | BACKGROUND: Emergence of new variants mainly variants of concerns (VOC) is caused by mutations in main structural proteins of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Therefore, we aimed to investigate the mutations among structural proteins of SARS-CoV-2 globally. METHODS: We analyzed samples of amino-acid sequences (AASs) for envelope (E), membrane (M), nucleocapsid (N), and spike (S) proteins from the declaration of the coronavirus 2019 (COVID-19) as pandemic to January 2022. The presence and location of mutations were then investigated by aligning the sequences to the reference sequence and categorizing them based on frequency and continent. Finally, the related human genes with the viral structural genes were discovered, and their interactions were reported. RESULTS: The results indicated that the most relative mutations among the E, M, N, and S AASs occurred in the regions of 7 to 14, 66 to 88, 164 to 205, and 508 to 635 AAs, respectively. The most frequent mutations in E, M, N, and S proteins were T9I, I82T, R203M/R203K, and D614G. D614G was the most frequent mutation in all six geographical areas. Following D614G, L18F, A222V, E484K, and N501Y, respectively, were ranked as the most frequent mutations in S protein globally. Besides, A-kinase Anchoring Protein 8 Like (AKAP8L) was shown as the linkage unit between M, E, and E cluster genes. CONCLUSION: Screening the structural protein mutations can help scientists introduce better drug and vaccine development strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12985-022-01951-7. |
format | Online Article Text |
id | pubmed-9759450 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97594502022-12-19 Mutations in SARS-CoV-2 structural proteins: a global analysis Abavisani, Mohammad Rahimian, Karim Mahdavi, Bahar Tokhanbigli, Samaneh Mollapour Siasakht, Mahsa Farhadi, Amin Kodori, Mansoor Mahmanzar, Mohammadamin Meshkat, Zahra Virol J Research BACKGROUND: Emergence of new variants mainly variants of concerns (VOC) is caused by mutations in main structural proteins of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Therefore, we aimed to investigate the mutations among structural proteins of SARS-CoV-2 globally. METHODS: We analyzed samples of amino-acid sequences (AASs) for envelope (E), membrane (M), nucleocapsid (N), and spike (S) proteins from the declaration of the coronavirus 2019 (COVID-19) as pandemic to January 2022. The presence and location of mutations were then investigated by aligning the sequences to the reference sequence and categorizing them based on frequency and continent. Finally, the related human genes with the viral structural genes were discovered, and their interactions were reported. RESULTS: The results indicated that the most relative mutations among the E, M, N, and S AASs occurred in the regions of 7 to 14, 66 to 88, 164 to 205, and 508 to 635 AAs, respectively. The most frequent mutations in E, M, N, and S proteins were T9I, I82T, R203M/R203K, and D614G. D614G was the most frequent mutation in all six geographical areas. Following D614G, L18F, A222V, E484K, and N501Y, respectively, were ranked as the most frequent mutations in S protein globally. Besides, A-kinase Anchoring Protein 8 Like (AKAP8L) was shown as the linkage unit between M, E, and E cluster genes. CONCLUSION: Screening the structural protein mutations can help scientists introduce better drug and vaccine development strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12985-022-01951-7. BioMed Central 2022-12-18 /pmc/articles/PMC9759450/ /pubmed/36528612 http://dx.doi.org/10.1186/s12985-022-01951-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Abavisani, Mohammad Rahimian, Karim Mahdavi, Bahar Tokhanbigli, Samaneh Mollapour Siasakht, Mahsa Farhadi, Amin Kodori, Mansoor Mahmanzar, Mohammadamin Meshkat, Zahra Mutations in SARS-CoV-2 structural proteins: a global analysis |
title | Mutations in SARS-CoV-2 structural proteins: a global analysis |
title_full | Mutations in SARS-CoV-2 structural proteins: a global analysis |
title_fullStr | Mutations in SARS-CoV-2 structural proteins: a global analysis |
title_full_unstemmed | Mutations in SARS-CoV-2 structural proteins: a global analysis |
title_short | Mutations in SARS-CoV-2 structural proteins: a global analysis |
title_sort | mutations in sars-cov-2 structural proteins: a global analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759450/ https://www.ncbi.nlm.nih.gov/pubmed/36528612 http://dx.doi.org/10.1186/s12985-022-01951-7 |
work_keys_str_mv | AT abavisanimohammad mutationsinsarscov2structuralproteinsaglobalanalysis AT rahimiankarim mutationsinsarscov2structuralproteinsaglobalanalysis AT mahdavibahar mutationsinsarscov2structuralproteinsaglobalanalysis AT tokhanbiglisamaneh mutationsinsarscov2structuralproteinsaglobalanalysis AT mollapoursiasakhtmahsa mutationsinsarscov2structuralproteinsaglobalanalysis AT farhadiamin mutationsinsarscov2structuralproteinsaglobalanalysis AT kodorimansoor mutationsinsarscov2structuralproteinsaglobalanalysis AT mahmanzarmohammadamin mutationsinsarscov2structuralproteinsaglobalanalysis AT meshkatzahra mutationsinsarscov2structuralproteinsaglobalanalysis |