Next Article in Journal
Effect of Optimal Alcohol-Based Hand Rub among Nurse Students Compared with Everyday Practice among Random Adults; Can Water-Based Hand Rub Combined with a Hand Dryer Machine Be an Alternative to Remove E. coli Contamination from Hands?
Next Article in Special Issue
Tracking the Source of Human Q Fever from a Southern French Village: Sentinel Animals and Environmental Reservoir
Previous Article in Journal
Listeria monocytogenes, Escherichia coli and Coagulase Positive Staphylococci in Cured Raw Milk Cheese from Alentejo Region, Portugal
Previous Article in Special Issue
Streptococcus equi subsp. equi in Retropharyngeal Abscess: Case Report and Review of Literature
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Identifying New Clusterons: Application of TBEV Analyzer 3.0

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
*
Author to whom correspondence should be addressed.
Microorganisms 2023, 11(2), 324; https://doi.org/10.3390/microorganisms11020324
Submission received: 15 October 2022 / Revised: 9 January 2023 / Accepted: 25 January 2023 / Published: 27 January 2023
(This article belongs to the Special Issue Pathogen Transmission among Animals and Humans: A One Health Approach)

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.
Keywords: TBEV analyzer; monitoring; clusteron approach; epidemiology; evolution TBEV analyzer; monitoring; clusteron approach; epidemiology; evolution

Share and Cite

MDPI and ACS Style

Forghani, M.; Kovalev, S.; Khachay, M.; Ramsay, E.; Bolkov, M.; Vasev, P. Identifying New Clusterons: Application of TBEV Analyzer 3.0. Microorganisms 2023, 11, 324. https://doi.org/10.3390/microorganisms11020324

AMA Style

Forghani M, Kovalev S, Khachay M, Ramsay E, Bolkov M, Vasev P. Identifying New Clusterons: Application of TBEV Analyzer 3.0. Microorganisms. 2023; 11(2):324. https://doi.org/10.3390/microorganisms11020324

Chicago/Turabian Style

Forghani, Majid, Sergey Kovalev, Michael Khachay, Edward Ramsay, Mikhail Bolkov, and Pavel Vasev. 2023. "Identifying New Clusterons: Application of TBEV Analyzer 3.0" Microorganisms 11, no. 2: 324. https://doi.org/10.3390/microorganisms11020324

APA Style

Forghani, M., Kovalev, S., Khachay, M., Ramsay, E., Bolkov, M., & Vasev, P. (2023). Identifying New Clusterons: Application of TBEV Analyzer 3.0. Microorganisms, 11(2), 324. https://doi.org/10.3390/microorganisms11020324

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop