Genomic characterization of Volzhskoe tick virus (Bunyaviricetes) from a Hyalomma marginatum tick, Hungary

Hyalomma marginatum, a vector for the high-consequence pathogen, the Crimean-Congo hemorrhagic fever virus (CCHFV), needs particular attention due to its impact on public health. Although it is a known vector for CCHFV, its general virome is largely unexplored. Here, we report findings from a citizen science monitoring program aimed to understand the prevalence and diversity of tick-borne pathogens, particularly focusing on Hyalomma ticks in Hungary. In 2021, we identified one adult specimen of Hyalomma marginatum and subjected it to Illumina-based viral metagenomic sequencing. Our analysis revealed sequences of the uncharacterized Volzhskoe tick virus, an unclassified member of the class Bunyaviricetes. The in silico analysis uncovered key genetic regions, including the glycoprotein and the RNA-dependent RNA polymerase (RdRp) coding regions. Phylogenetic analysis indicated a close relationship between our Volzhskoe tick virus sequences and other unclassified Bunyaviricetes species. These related species of unclassified Bunyaviricetes were detected in vastly different geolocations. These findings highlight the remarkable diversity of tick specific viruses and emphasize the need for further research to understand the transmissibility, seroreactivity or the potential pathogenicity of Volzhskoe tick virus and related species.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-08-15
DOI
https://doi.org/10.1038/s41598-024-69776-8
Citations
6
Primary Topic
Viral Infections and Vectors
Type
article
Field-Weighted Citation Impact
2.33

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genomic characterization of Volzhskoe tick virus (Bunyaviricetes) from a Hyalomma marginatum tick, Hungary

Fanni Földes, Gábor Endre Tóth, Gábor Földvári, Dániel Cadar et al.
6 citations
Scientific Reports
Viral Infections and Vectors
2.33
article

Genomic characterization of Volzhskoe tick virus (Bunyaviricetes) from a Hyalomma marginatum tick, Hungary

Fanni Földes, Gábor Endre Tóth, Gábor Földvári, Dániel Cadar, Zsófia Tauber, Zsófia Lanszki, Gábor Kemenesi, Zsaklin Varga, Balázs Horváth, Éva Szabó, Brigitta Zana, Alexandra Bialonski
article en
6 citations

Abstract

Hyalomma marginatum, a vector for the high-consequence pathogen, the Crimean-Congo hemorrhagic fever virus (CCHFV), needs particular attention due to its impact on public health. Although it is a known vector for CCHFV, its general virome is largely unexplored. Here, we report findings from a citizen science monitoring program aimed to understand the prevalence and diversity of tick-borne pathogens, particularly focusing on Hyalomma ticks in Hungary. In 2021, we identified one adult specimen of Hyalomma marginatum and subjected it to Illumina-based viral metagenomic sequencing. Our analysis revealed sequences of the uncharacterized Volzhskoe tick virus, an unclassified member of the class Bunyaviricetes. The in silico analysis uncovered key genetic regions, including the glycoprotein and the RNA-dependent RNA polymerase (RdRp) coding regions. Phylogenetic analysis indicated a close relationship between our Volzhskoe tick virus sequences and other unclassified Bunyaviricetes species. These related species of unclassified Bunyaviricetes were detected in vastly different geolocations. These findings highlight the remarkable diversity of tick specific viruses and emphasize the need for further research to understand the transmissibility, seroreactivity or the potential pathogenicity of Volzhskoe tick virus and related species.

Scientific ReportsVol. 14(1)
Eötvös Loránd University (HU), HUN-REN Centre for Ecological Research (HU), National Center for Epidemiology (HU), University of Pecs (HU), University of Plymouth (GB), Bernhard Nocht Institute for Tropical Medicine (DE)
European Cooperation in Science and Technology, Bundesministerium für Bildung und Forschung, Magyar Tudományos Akadémia, National Research, Development and Innovation Office
Openalex Percentile: Top 11%
Viral Infections and Vectors
2.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.