Title of article :
A Novel Genetic classification of SARS coronavirus-2 following whole nucleic acid and protein alignment of the isolated viruses
Author/Authors :
Sanchooli, Alireza Razi Vaccine and Serum Research Institute - Agricultural Research - Education and Extension Organization (AREEO), Karaj, Iran , Shahkarami, Mohammad Kazem Razi Vaccine and Serum Research Institute - Agricultural Research - Education and Extension Organization (AREEO), Karaj, Iran , Thekkiniath, Jose Fuller Laboratories, Fullerton, USA , Karimi Naghlani, Shahla Razi Vaccine and Serum Research Institute - Agricultural Research - Education and Extension Organization (AREEO), Karaj, Iran , Kamali, Mahboubeh Department of Biology - Islamic Azad University - North Tehran Branch, Tehran, Iran , Cheraghi, Mahdi Razi Vaccine and Serum Research Institute - Agricultural Research - Education and Extension Organization (AREEO), Karaj, Iran , Shojaei, Mohammad Razi Vaccine and Serum Research Institute - Agricultural Research - Education and Extension Organization (AREEO), Karaj, Iran
Pages :
8
From page :
7
To page :
14
Abstract :
Background and aims: The end of 2019 has marked the year, which the human population encountered a novel virus; SARS-CoV-2 that causes a disease namely COVID-19. Here we focused on the genome and protein mutations and subsequently suggested a new classification of the SARS-CoV-2. Materials and Methods: Our study showed that some extra positions in the virus genome play a key role in the SARS-CoV-2 classification. Based on the analysis of the whole genome sequences of 93 viruses. Results: mutations were classified into nine divisions including IA-1, IA-2, IA-3, IB, II, L1, L2, L3 and S. Totally, 279 mutations were found in the SARS-CoV-2 genomes. 24 mutations lead to the amino acid frame shifting, of which 15 mutations lead to positive frame shifting in amino acids sequences. Conclusion: Sequence alignment of these positions with that of ancestors showed no change suggesting that they might have occurred in the SARS-CoV-2 genomes to adapt itself to humans.
Farsi abstract :
فاقد چكيده فارسي
Keywords :
SARS-coronavirus-2 , COVID-19 , classification , Phylogenetic tree analysis , Mutations , Evolution
Journal title :
Iranian Journal of Virology
Serial Year :
2021
Record number :
2711754
Link To Document :
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