Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share By
Evaluation and Phylogenetic Analysis of Regular Rabies Virus Vaccine Strains Pubmed



Ajorloo M1, 2 ; Mirzaei H1, 3 ; Sadeghi Y4 ; Tarban N5 ; Soltani S4 ; Mohammadi FS6 ; Davarinejad P7 ; Roudy MA8 ; Jahantigh HR6 ; Abouhamzeh K9 ; Mohammadhosayni M10 ; Nikoo HR11, 12 ; Alamdary A13 ; Norouzi M8, 14
Authors

Source: Archives of Iranian Medicine Published:2018


Abstract

Background: This study aimed to evaluate Rabies virus vaccine strains. The obtained results may be helpful for vaccine producers and researchers to compare the strains with wild type and other vaccine strains and select the correct strain to challenge their products. Methods: Fourteen rabies virus vaccine strains were compared with each other. The full genomes of the selected strains were taken from the GenBank and the N, P and G genes were labeled. The major and minor antigenic sites of these sequences were identified and contrasted with each other. The identity matrix was designed for rabies virus full genome, N and G genes. In addition, the phylogenetic tree was drawn based on rabies virus N gene for deep analysis. Results: Although there were no significant differences between antigenic sites in N, P, and G genes, there were noticeable differences for full genome identity matrix and this significant difference can also be observed in N and G identity matrix. In the phylogenetic tree, the Iranian sequences were distant from currently applied vaccine strains. Conclusion: It is necessary to pay attention to the results shown in phylogenetic tree because they warn us about distance between the Iranian sequences and current strains used in applied vaccines. In addition, the obtained results help vaccine producers to choose a correct strain to challenge their product and evaluate their vaccine potency. © 2018 The Author(s).
Other Related Docs
13. Diversity of Vp7 Genes of G1 Rotaviruses Isolated in Iran, 2009-2013, Infection# Genetics and Evolution (2016)