Molecular genetic characterization of street rabies virus isolates selected in Ukraine
Journal Title: Бюлетень "Ветеринарна біотехнологія" - Year 2017, Vol 30, Issue
Abstract
Introduction. Studies of molecular genetic characteristics of different isolates of rabies virus, and in particular their nucleotide sequences allows to determine phylogenetic relationships within phylogroup and genotypes, establish their evolutionary history. Also, an important aspect of molecular genetic studies is the prediction of possible changes and the acquisition of new properties of isolates, circulating in a specific area. So, molecular genetic studies should be an integral part of modern laboratory diagnosis of rabies with RNA extraction and subsequent phylogenetic analysis. The goal of the work. To conduct phylogenetic analysis of Ukrainian rabies isolates using molecular genetic techniquesMaterials and methods. We used 82 pathological materials were obtained from 12 animal species (cat, dog, fox, raccoon dog, badger, rat, wolf, moose, marten, cattle, bats, lynx) and two samples from people from 20 oblasts of Ukraine (except Volyn, Sumy, Poltava, Kirovohrad and Odesa oblast) from 2009 to 2013. Results of research and discussion. Obtained results indicated the existence of pronounced geographical distribution of genetic variants of street rabies virus. On the right-bank of Ukraine dominated rabies virus, which belong to the cluster number 1 and 2. On the left bank - cluster number 3 and 4. Street isolate from bat from the Kharkiv oblast by its characteristics belonged to the European bat Lyssavirus type 1. Conclusions and prospects for further research: The results of phylogenetic studies have shown that 81 from 82 street rabies isolates from Ukraine belonged to the phylogroup 1, genotype 1 of animals Lyssavirus. Sample from bat from Kharkiv oblast by its characteristics belonged to the first phylogroup, fifth genotypes Lyssavirus of animals. According to the results of phylogenetic analysis, conducted distribution of rabies isolates into four clusters, according to the geographical affiliation.
Authors and Affiliations
Nikolai Mazur, Ivan Polupan
Keywords
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- EP ID EP271574
- DOI 10.31073/vet_biotech30-19
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