"886-84-like" tick-borne encephalitis virus strains: Intraspecific status elucidated by comparative genomics.

  title={"886-84-like" tick-borne encephalitis virus strains: Intraspecific status elucidated by comparative genomics.},
  author={Renat V. Adelshin and Elena A. Sidorova and Artem N. Bondaryuk and A. G. Trukhina and Dmitry Sherbakov and Richard Allen White Iii and Evgeny I. Andaev and S. V. Balakhonov},
  journal={Ticks and tick-borne diseases},

Delimitation of the Tick-Borne Flaviviruses. Resolving the Tick-Borne Encephalitis and Louping-Ill Virus Paraphyletic Taxa

This study aimed to apply different bioinformatic approaches to analyze all available complete genome amino acid sequences to delineate TBFV members at the species level and showed that the European subtype of TBEV (TBEV-E) is a distinct species unit and LIV, in turn, should be separated into two species.

Rescue and in vitro characterization of a divergent TBEV-Eu strain from the Netherlands

The current study serves as the first in vitro characterization of the novel, divergent TBEV-Eu strain Salland, which infected primary human monocyte-derived dendritic cells to a similar extent and interacted with the type I interferon system in a similar manner.

Evolutionary traits of Tick-borne encephalitis virus: Pervasive non-coding RNA structure conservation and molecular epidemiology

An updated phylogeny of TBEV is provided, building on more than 220 publicly available complete genomes, and the molecular epidemiology and phylodynamics are investigated with Nextstrain, a web-based visualization framework for real-time pathogen evolution.

[Biological properties and phylogenetic relationships of tick-borne encephalitis virus (Flaviviridae, Flavivirus) isolates of siberian subtype isolated in the south of East siberia in modern period].

The phylogenetic analysis has shown that TBEV of siberian subtype that circulates in natural foci of the studied territory belong to two genetic lines, «Vasilchenko» and «Zausaev» with a strong predominance of the first.

Phylogenetic Analysis of European Subtype Strains of Tick-Borne Encephalitis Virus Isolated in the Territory of Siberia (Russia)

TBEV-Eur was recently transmitted to the territory of Siberia, according to the obtained tree topology, divergence time estimates, and the results of phylogeographic analysis.

TBEV Subtyping in Terms of Genetic Distance

The nucleotide/amino-acid space of all known TBEV sequences was analyzed and Amino-acid sequence p-distances could not reliably distinguish T BEV subtypes.

Phylogenetic Analysis of European Subtype Strains of Tick-Borne Encephalitis Virus Isolated in the Territory of Siberia (Russia)

Based on the obtained tree topology, divergence time estimates, and the results of phylogeographic analysis, it is concluded that TBEV-Eur was recently transmitted to the territory of Siberia.



Reconsidering the classification of tick-borne encephalitis virus within the Siberian subtype gives new insights into its evolutionary history.

  • S. KovalevT. Mukhacheva
  • Biology
    Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
  • 2017

[Genetic characteristics of the causative agent of tick-borne encephalitis in Mongolia].

The paper is the first to describe the causative agent of tick-borne encephalitis on the territory of Mongolia and to discuss the evolution and pathogenicity of TBEV.

Genotyping and characterization of the geographical distribution of tick‐borne encephalitis virus variants with a set of molecular probes

It is confirmed that five genotypes of TBEV co‐circulate in Eastern Siberia, and the distribution of its genotypes and subgenotypes of genotype 3 was made more precise in the territory of Eurasia.

Sequence analysis and genetic classification of tick-borne encephalitis viruses from Europe and Asia.

The epidemiology of tick-borne encephalitis virus was investigated by comparative sequence analysis of virus strains isolated in endemic areas of Europe and Asia and three genetic lineages could be clearly distinguished, corresponding to a European, a Far Eastern and a Siberian subtype.

Revisiting the Clinal Concept of Evolution and Dispersal for the Tick-Borne Flaviviruses by Using Phylogenetic and Biogeographic Analyses

C climatic and ecological changes may have played a greater role in TBF dispersal than humans, and BEAST analysis suggested that TBF emerged and dispersed more than 16,000 years ago, significantly earlier than previously predicted.

[Analysis of genetic variability of strains of tick-borne encephalitis virus by primary structure of a fragment of the membrane protein E gene].

Analysis of homology of nucleotide sequences of 29 tick-borne encephalitis strains showed that they can be divided into 6 groups (genotypes) by the following gene typing criteria: strain structure within the genotypes differing by no more than 9%, differences between strains of different genotypes are at least 12%.

Tick-borne encephalitis: A review of epidemiology, clinical characteristics, and management.

Clinical spectrum of the disease ranges from mild meningitis to severe meningoencephalitis with or without paralysis, and age of patients (increasing age is associated with less favorable outcome), and host genetic factors vary by subtype of tick-borne encephalitis virus.

A new method for calculating evolutionary substitution rates

It is found that the method applies satisfactorily to the three former species, while the last appears to be outside the scope of the present approach.

Bayesian Phylogenetics with BEAUti and the BEAST 1.7

The Bayesian Evolutionary Analysis by Sampling Trees (BEAST) software package version 1.7 is presented, which implements a family of Markov chain Monte Carlo algorithms for Bayesian phylogenetic inference, divergence time dating, coalescent analysis, phylogeography and related molecular evolutionary analyses.

Improving the accuracy of demographic and molecular clock model comparison while accommodating phylogenetic uncertainty.

It is shown that PS and SS sampling substantially outperform these estimators and adjust the conclusions made concerning previous analyses for the three real-world data sets that were reanalyzed.