Mutations in SARS-CoV-2 structural proteins: a global analysis
Abstract 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. Metho...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-12-01
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| Series: | Virology Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12985-022-01951-7 |
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| author | Mohammad Abavisani Karim Rahimian Bahar Mahdavi Samaneh Tokhanbigli Mahsa Mollapour Siasakht Amin Farhadi Mansoor Kodori Mohammadamin Mahmanzar Zahra Meshkat |
| author_facet | Mohammad Abavisani Karim Rahimian Bahar Mahdavi Samaneh Tokhanbigli Mahsa Mollapour Siasakht Amin Farhadi Mansoor Kodori Mohammadamin Mahmanzar Zahra Meshkat |
| author_sort | Mohammad Abavisani |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-13T04:45:21Z |
| format | Article |
| id | doaj.art-bfbd35344ae646b0b7e310e6509d22a8 |
| institution | Directory Open Access Journal |
| issn | 1743-422X |
| language | English |
| last_indexed | 2024-04-13T04:45:21Z |
| publishDate | 2022-12-01 |
| publisher | BMC |
| record_format | Article |
| series | Virology Journal |
| spelling | doaj.art-bfbd35344ae646b0b7e310e6509d22a82022-12-22T03:01:51ZengBMCVirology Journal1743-422X2022-12-0119111910.1186/s12985-022-01951-7Mutations in SARS-CoV-2 structural proteins: a global analysisMohammad Abavisani0Karim Rahimian1Bahar Mahdavi2Samaneh Tokhanbigli3Mahsa Mollapour Siasakht4Amin Farhadi5Mansoor Kodori6Mohammadamin Mahmanzar7Zahra Meshkat8Student Research Committee, Mashhad University of Medical SciencesInstitute of Biochemistry and Biophysics (IBB), University of TehranDepartment of Molecular Biotechnology, Cell Science Research Center, Royan Institute for Biotechnology, ACECRDepartment of Molecular and Cellular Sciences, Faculty of Advanced Sciences and Technology, Pharmaceutical Sciences Branch, Islamic Azad UniversityDepartment of Biochemistry, Erasmus University Medical CenterDepartment of Biology, Payame Noor UniversityNon Communicable Diseases Research Center, Bam University of Medical SciencesDepartment of Bioinformatics, Kish International Campus University of TehranDepartment of Microbiology and Virology, School of Medicine, Faculty of Medicine, Mashhad University of Medical SciencesAbstract 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.https://doi.org/10.1186/s12985-022-01951-7COVID-19Evolutionary analysisGenome-wide mutationsMutationsSARS-CoV-2 |
| spellingShingle | Mohammad Abavisani Karim Rahimian Bahar Mahdavi Samaneh Tokhanbigli Mahsa Mollapour Siasakht Amin Farhadi Mansoor Kodori Mohammadamin Mahmanzar Zahra Meshkat Mutations in SARS-CoV-2 structural proteins: a global analysis Virology Journal COVID-19 Evolutionary analysis Genome-wide mutations Mutations SARS-CoV-2 |
| 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 | COVID-19 Evolutionary analysis Genome-wide mutations Mutations SARS-CoV-2 |
| url | https://doi.org/10.1186/s12985-022-01951-7 |
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