Bioinformatic Analysis of Codon Usage and Phylogenetic Relationships in Different Genotypes of the Hepatitis C Virus.

Mortazavi, Mojtaba and Zarenezhad, Mohammad and Alavian, Seyed Moayed and Gholamzadeh, Saeed and Malekpour, Abdorrasoul and Ghorbani, Mohammad and Torkzadeh Mahani, Masoud and Lotfi, Safa and Fakhrzad, Ali (2016) Bioinformatic Analysis of Codon Usage and Phylogenetic Relationships in Different Genotypes of the Hepatitis C Virus. Hepatitis monthly, 16 (10). e39196. ISSN 1735-143X

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Abstract

BACKGROUND The hepatitis C virus (HCV) has six major genotypes. The purpose of this study was to phylogenetically investigate the differences between the genotypes of HCV, and to determine the types of amino acid codon usage in the structure of the virus in order to discover new methods for treatment regimes. METHODS The codon usage of the six genotypes of the HCV nucleotide sequence was investigated through the online application available on the website Gene Infinity. Also, phylogenetic analysis and the evolutionary relationship of HCV genotypes were analyzed with MEGA 7 software. RESULTS The six genotypes of HCV were divided into two groups based on their codon usage properties. In the first group, genotypes 1 and 5 (74.02%), and in the second group, genotypes 2 and 6 (72.43%) were shown to have the most similarity in terms of codon usage. Unlike the results with respect to determining the similarity of codon usage, the phylogenetic analysis showed the closest resemblance and correlation between genotypes 1 and 4. The results also showed that HCV has a GC (guanine-cytosine) abundant genome structure and prefers codons with GC for translation. CONCLUSIONS Genotypes 1 and 4 demonstrated remarkable similarity in terms of genome sequences and proteins, but surprisingly, in terms of the preferred codons for gene expression, they showed the greatest difference. More studies are therefore needed to confirm the results and select the best approach for treatment of these genotypes based on their codon usage properties.

Item Type: Article
Divisions: School of Medicine
Depositing User: Unnamed user with email eprints@fums.ac.ir
Date Deposited: 09 Mar 2017 20:05
Last Modified: 09 Mar 2017 20:05
URI: http://eprints.fums.ac.ir/id/eprint/351

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