Document Type : Original Research

Authors

1 Department of Genetics and Molecular Biology, Faculty of Medicine, Iran University of Medical Science, Tehran, Iran

2 Department of Medical Genetics, Ali-Asghar Children's Hospital, Tehran, Iran

3 Department of Pathobiology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

Abstract

Background & Objective: Coronavirus disease 2019 (COVID‐19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), resulting in a worldwide pandemic. The first case of COVID‐19 was reported from Wuhan in the Hubei Province of China in December 2019; however, the disease's origin is still mysterious. Whole-genome sequence analysis is essential for monitoring the spread of infectious diseases as well as studying the pathogenesis and evolution of viruses. In this study, analysis of 198 fully sequenced genomes from Iran and West Asia was carried out to study mutations, phylogeny, amino acid changes, clades, and lineages of these genomes as well as comparison of these sequences with those of reference Wuhan genome of NC_045512.2.
Methods: In total, 198 completely sequenced genome data from Iran and West Asia were collected from GenBank. Mutation detection was carried out using a trial version of CLC Genomics Workbench v.21.0 (QIAGEN, Germany). Online tools such as GISAID Mutations App and Pangolin were used for further analysis of the results.
Results: In this study, several unique mutation sites were identified in the Iranian genomes (n = 8); positions 1397 G>A and 29742 G>T were the most frequent changes in more than 85% of the Iranian genomes. Mutation rate, mutation per sequence, and transition versus transversion for the Iranian genomes included 4.73, 14.14, and 1.6, respectively. Generally, C>T alteration was the most common substitution in all the sequences.
Conclusion: The ORF1ab, N, and S were the genes with the most changes. The current data can help researchers predict future epidemics and establish better strategies to control viral pandemics.

Keywords

Main Subjects

  1. Koyama T, Platt D, Parida L. Variant analysis of SARS-CoV-2 genomes. Bulletin of the World Health Organization. 2020;98(7):495. [DOI:10.2471/BLT.20.253591] [PMID] [PMCID]
  2. Wang C, Horby PW, Hayden FG, Gao GF. A novel coronavirus outbreak of global health concern. Lancet. 2020;395(10223):470-3. [DOI:10.1016/S0140-6736(20)30185-9] [PMID]
  3. Guo Y-R, Cao Q-D, Hong Z-S, Tan Y-Y, Chen S-D, Jin H-J, et al. The origin, transmission and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak-an update on the status. Mil Med Res. 2020;7(1):1-10. [PMCID] [DOI:10.1186/s40779-020-00240-0] [PMID]
  4. Singhal T. A review of coronavirus disease-2019 (COVID-19). Indian J Pediatr. 2020;87(4):281-6. [DOI:10.1007/s12098-020-03263-6] [PMID] [PMCID]
  5. Wang L-F, Shi Z, Zhang S, Field H, Daszak P, Eaton BT. Review of bats and SARS. Emerg Infect Dis. 2006;12(12):1834. [PMID] [PMCID] [DOI:10.3201/eid1212.060401]
  6. Chan JF-W, Yuan S, Kok K-H, To KK-W, Chu H, Yang J, et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet. 2020;395(10223):514-23. [DOI:10.1016/S0140-6736(20)30154-9] [PMID]
  7. Badgujar KC, Badgujar VC, Badgujar SB. Vaccine development against coronavirus (2003 to present): An overview, recent advances, current scenario, opportunities and challenges. Diabetes and Metabolic Syndrome: Clin Res Rev. 2020;14(5):1361-76. [PMID] [PMCID] [DOI:10.1016/j.dsx.2020.07.022]
  8. Wang Y, Wang Y, Chen Y, Qin Q. Unique epidemiological and clinical features of the emerging 2019 novel coronavirus pneumonia (COVID‐19) implicate special control measures. J Med Virol. 2020;92(6):568-76. [DOI:10.1002/jmv.25748] [PMID] [PMCID]
  9. Coronavirus Outbreak. Available at: https://g.co/kgs/ZzvFkY. Accessed July 11, 2021.
  10. Singh A, Shaikh A, Singh R, Singh AK. COVID-19: From bench to bed side. Diabetes & Metabolic Syndrome: Clin Res Rev. 2020;14(4):277-81. [PMID] [PMCID] [DOI:10.1016/j.dsx.2020.04.011]
  11. Yurdaisik I. Effectiveness of computed tomography in the diagnosis of novel Coronavirus-2019. Cureus. 2020;12(5). [DOI:10.7759/cureus.8134]
  12. Al-Shamrani A, Al-Harbi AS, Alhaider S, Alharbi S, Al-Harbi NS, Alanazi A, et al. Approach to childhood asthma in the era of COVID-19: The official statement endorsed by the Saudi Pediatric Pulmonology Association (SPPA). Int J Pediatr Adolesc Med. 2020;7(3):103-6. [PMID] [PMCID] [DOI:10.1016/j.ijpam.2020.07.001]
  13. Malik YA. Properties of coronavirus and SARS-CoV-2. Malays J Pathol. 2020;42(1):3-11.
  14. Wei X, Li X, Cui J. Evolutionary perspectives on novel coronaviruses identified in pneumonia cases in China. Natl Sci Rev. 2020 Feb;7(2):239-242. [DOI:10.1093/nsr/nwaa009] [PMID] [PMCID]
  15. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al. China Novel Coronavirus Investigating and Research Team. A Novel Coronavirus from Patients with Pneumonia in China, 2019. N Engl J Med. 2020;382(8):727-733. [PMID] [PMCID] [DOI:10.1056/NEJMoa2001017]
  16. Ahmed SF, Quadeer AA, McKay MR. Preliminary identification of potential vaccine targets for the COVID-19 coronavirus (SARS-CoV-2) based on SARS-CoV immunological studies. Viruses. 2020;12(3):254. [DOI:10.3390/v12030254] [PMID] [PMCID]
  17. Shi W, Lv J, Lin L. Coagulopathy in COVID-19: Focus on vascular thrombotic events. J Mol Cell Cardiol. 2020;146:32-40. [PMID] [PMCID] [DOI:10.1016/j.yjmcc.2020.07.003]
  18. Lu R, Zhao X, Li J, Niu P, Yang B, Wu H, et al. Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet. 2020;395(10224):565-74. [DOI:10.1016/S0140-6736(20)30251-8] [PMID]
  19. Li B, Li X, Wang Y, Han Y, Wang Y, Wang C, et al. Diagnostic value and key features of computed tomography in Coronavirus Disease 2019. Emerg Microbes Infect. 2020;9(1):787-93. [DOI:10.1080/22221751.2020.1750307] [PMID] [PMCID]
  20. Menter T, Haslbauer JD, Nienhold R, Savic S, Hopfer H, Deigendesch N, et al. Postmortem examination of COVID‐19 patients reveals diffuse alveolar damage with severe capillary congestion and variegated findings in lungs and other organs suggesting vascular dysfunction. Histopathology. 2020;77(2):198-209. [DOI:10.1111/his.14134] [PMID] [PMCID]
  21. Li W, Moore MJ, Vasilieva N, Sui J, Wong SK, Berne MA, et al. Angiotensin-converting enzyme 2 is a functional receptor for the SARS coronavirus. Nature. 2003;426(6965):450-4. [DOI:10.1038/nature02145] [PMID] [PMCID]
  22. Hamming I, Timens W, Bulthuis M, Lely A, Navis Gv, van Goor H. Tissue distribution of ACE2 protein, the functional receptor for SARS coronavirus. A first step in understanding SARS pathogenesis. J Pathol. 2004;203(2):631-7. [DOI:10.1002/path.1570] [PMID] [PMCID]
  23. Maitra A, Sarkar MC, Raheja H, Biswas NK, Chakraborti S, Singh AK, et al. Mutations in SARS-CoV-2 viral RNA identified in Eastern India: Possible implications for the ongoing outbreak in India and impact on viral structure and host susceptibility. J Biosci. 2020;45(1):1-18. [DOI:10.1007/s12038-020-00046-1] [PMID] [PMCID]
  24. Sengupta A, Hassan SS, Choudhury PP. Clade GR and clade GH isolates of SARS-CoV-2 in Asia show highest amount of SNPs. Infect Genet Evol. 2021;89:104724. [PMID] [PMCID] [DOI:10.1016/j.meegid.2021.104724]
  25. Krafcikova P, Silhan J, Nencka R, Boura E. Structural analysis of the SARS-CoV-2 methyltransferase complex involved in coronaviral RNA cap creation. BioRxiv. 2020. [DOI:10.1101/2020.05.15.097980]
  26. McBride R, Van Zyl M, Fielding BC. The coronavirus nucleocapsid is a multifunctional protein. Viruses. 2014;6(8):2991-3018. [DOI:10.3390/v6082991] [PMID] [PMCID]
  27. Korber B, Fischer WM, Gnanakaran S, Yoon H, Theiler J, Abfalterer W, et al. Tracking changes in SARS-CoV-2 Spike: evidence that D614G increases infectivity of the COVID-19 virus. Cell. 2020;182(4):812-27. e19. [PMID] [PMCID] [DOI:10.1016/j.cell.2020.06.043]