Real-Time Polymerase Chain Reaction Systems for Detection and Differentiation of Unclassified Viruses of the Phenuiviridae Family

The family <i>Phenuiviridae</i>, part of the order <i>Hareavirales</i>, includes arboviruses and arthropod-associated viruses, with sandflies, mosquitoes, and ticks as primary vectors. Historically, only sandfly/mosquito-borne phenuiviruses were associated with human diseases, but the emergence of severe fever with thrombocytopenia syndrome (SFTS) has highlighted the potential of tick-borne phenuiviruses as human pathogens. Recent discoveries of new arthropod-associated viruses, some of which remain unclassified, underscore the need for sensitive detection and differentiation methods, particularly in regions where these viruses may co-circulate. This study aimed to develop real-time PCR test systems for identifying and differentiating unclassified viruses within the <i>Phenuiviridae</i> family. In this study, tick suspensions containing phenuiviruses, previously obtained during the screening of ticks from various regions of Russia using pan-phenuivirus primers, were used. Specific primers and probes were designed to differentiate five <i>Phenuiviridae</i> viruses of genera <i>Uukuvirus</i>, <i>Ixovirus</i>, <i>Phlebovirus</i> and one unclassified phenuivirus, and their analytical sensitivity and specificity were evaluated. These PCR-based tools provide a robust method for detecting and classifying uncharacterized phenuiviruses, contributing to improved surveillance and understanding their potential epidemiological and epizootological impacts.

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Publication Details

Journal
Methods and Protocols
Published
2025-02-18
DOI
https://doi.org/10.3390/mps8010020
Citations
3
Primary Topic
Viral Infections and Vectors
Type
article
Field-Weighted Citation Impact
4.19
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article

Real-Time Polymerase Chain Reaction Systems for Detection and Differentiation of Unclassified Viruses of the Phenuiviridae Family

Oxana A. Belova, Alena V. Dereventsova, Ivan S. Kholodilov, Butenko Am et al.
3 citations
Methods and Protocols
Viral Infections and Vectors
4.19
article

Real-Time Polymerase Chain Reaction Systems for Detection and Differentiation of Unclassified Viruses of the Phenuiviridae Family

Oxana A. Belova, Alena V. Dereventsova, Ivan S. Kholodilov, Butenko Am, Galina G. Karganova, Alexander S. Klimentov
article en
3 citations

Abstract

The family <i>Phenuiviridae</i>, part of the order <i>Hareavirales</i>, includes arboviruses and arthropod-associated viruses, with sandflies, mosquitoes, and ticks as primary vectors. Historically, only sandfly/mosquito-borne phenuiviruses were associated with human diseases, but the emergence of severe fever with thrombocytopenia syndrome (SFTS) has highlighted the potential of tick-borne phenuiviruses as human pathogens. Recent discoveries of new arthropod-associated viruses, some of which remain unclassified, underscore the need for sensitive detection and differentiation methods, particularly in regions where these viruses may co-circulate. This study aimed to develop real-time PCR test systems for identifying and differentiating unclassified viruses within the <i>Phenuiviridae</i> family. In this study, tick suspensions containing phenuiviruses, previously obtained during the screening of ticks from various regions of Russia using pan-phenuivirus primers, were used. Specific primers and probes were designed to differentiate five <i>Phenuiviridae</i> viruses of genera <i>Uukuvirus</i>, <i>Ixovirus</i>, <i>Phlebovirus</i> and one unclassified phenuivirus, and their analytical sensitivity and specificity were evaluated. These PCR-based tools provide a robust method for detecting and classifying uncharacterized phenuiviruses, contributing to improved surveillance and understanding their potential epidemiological and epizootological impacts.

Methods and ProtocolsVol. 8(1)
Sechenov University (RU), Ministry of Health of the Russian Federation (RU), Chumakov Institute of Poliomyelitis and Viral Encephalitides (RU)
Good health and well-being
Openalex Percentile: Top 7%
Viral Infections and Vectors
4.19
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