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Virus Research
Article . 2012
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Virus Research
Article . 2012 . Peer-reviewed
License: Elsevier TDM
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Complete genomic characterization of two tick-borne encephalitis viruses isolated from China

Authors: Yu, Zhang; Bing-Yin, Si; Bo-Hua, Liu; Guo-Hui, Chang; Yin-Hui, Yang; Qiu-Bo, Huo; Yuan-Chun, Zheng; +1 Authors

Complete genomic characterization of two tick-borne encephalitis viruses isolated from China

Abstract

Tick-borne encephalitis (TBEV) is prevalent over a wide area of the Eurasian continent. TBE viruses cause severe encephalitis in humans, with serious sequelae, and have a significant impact on public health in these endemic regions. To gain insight into genetic evolution of tick-borne encephalitis virus (TBEV) in China, the complete genomic sequences of two TBEV strains Senzhang and MDJ01, which were isolated in 1953 and 2001 respectively, were characterized. The complete genome sequences of two strains were all consist 10,784 nucleotides and there are 364 nucleotides deletion in the 3' nontranslated region. Compared with other TBEV strains, homology range from 85.2% (Zausaev) to 99.6% (MDJ02 and MDJ03) on the level of nucleotide. Phylogenetic trees based on the complete genome, open reading frame and E gene nucleotide sequences all showed that the strains Senzhang and MDJ01 belong to Far-Eastern subtype and cluster with other Chinese TBEV strains. All these implied that TBEVs prevalent in China were highly conservative, other measurement should be taken to improve protective efficacy of present vaccine.

Keywords

China, Molecular Sequence Data, Genome, Viral, Sequence Analysis, DNA, Encephalitis Viruses, Tick-Borne, Sequence Homology, Nucleic Acid, Cluster Analysis, Humans, RNA, Viral, Phylogeny, Sequence Deletion

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Top 10%
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