Identifying New Clusterons: Application of TBEV Analyzer 3.0

Author:

Forghani Majid12ORCID,Kovalev Sergey2ORCID,Khachay Michael1ORCID,Ramsay Edward3ORCID,Bolkov Mikhail4ORCID,Vasev Pavel1ORCID

Affiliation:

1. N. N. Krasovsky Institute of Mathematics and Mechanics, Yekaterinburg 620108, Russia

2. Institute of Natural Sciences and Mathematics, Ural Federal University, Yekaterinburg 620075, Russia

3. Saint Petersburg Pasteur Institute, Saint Petersburg 197101, Russia

4. Institute of Immunology and Physiology, Yekaterinburg 620049, Russia

Abstract

Early knowledge about novel emerging viruses and rapid determination of their characteristics are crucial for public health. In this context, development of theoretical approaches to model viral evolution are important. The clusteron approach is a recent bioinformatics tool which analyzes genetic patterns of a specific E protein fragment and provides a hierarchical network structure of the viral population at three levels: subtype, lineage, and clusteron. A clusteron is a group of strains with identical amino acid (E protein fragment) signatures; members are phylogenetically closely related and feature a particular territorial distribution. This paper announces TBEV Analyzer 3.0, an analytical platform for rapidly characterizing tick-borne encephalitis virus (TBEV) strains based on the clusteron approach, workflow optimizations, and simplified parameter settings. Compared with earlier versions of TBEV Analyzer, we provide theoretical and practical enhancements to the platform. Regarding the theoretical aspect, the model of the clusteron structure, which is the core of platform analysis, has been updated by analyzing all suitable TBEV strains available in GenBank, while the practical enhancements aim at improving the platform’s functionality. Here, in addition to expanding the strain sets of prior clusterons, we introduce eleven novel clusterons through our experimental results, predominantly of the European subtype. The obtained results suggest effective application of the proposed platform as an analytical and exploratory tool in TBEV surveillance.

Funder

Russian Foundation for Basic Research

Publisher

MDPI AG

Subject

Virology,Microbiology (medical),Microbiology

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5. Tick-borne encephalitis virus, United Kingdom;Holding;Emerg. Infect. Dis.,2020

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