Litov, A.; Okhezin, E.; Kholodilov, I.; Polienko, A.; Karganova, G. qPCR System for Alongshan Virus Detection. Preprints2023, 2023050869. https://doi.org/10.20944/preprints202305.0869.v1
APA Style
Litov, A., Okhezin, E., Kholodilov, I., Polienko, A., & Karganova, G. (2023). qPCR System for Alongshan Virus Detection. Preprints. https://doi.org/10.20944/preprints202305.0869.v1
Chicago/Turabian Style
Litov, A., Alexandra Polienko and Galina Karganova. 2023 "qPCR System for Alongshan Virus Detection" Preprints. https://doi.org/10.20944/preprints202305.0869.v1
Abstract
The recently discovered Jingmenvirus group includes viruses with a segmented genome, RNA of a positive polarity, and several proteins with distant homology to the proteins of the members of the genus Flavivirus. Some Jingmenvirus group members, namely Alongshan virus (ALSV) and Jingmen tick virus, are reported to be tick-borne human pathogens, causing a wide variety of symptoms. ALSV is widely distributed in Eurasia, yet there is no reliable assay for its detection. Here, we describe a qPCR system for the detection of ALSV. Our data show that this system can detect as low as 104 copies of ALSV in the probe. It shows no amplification with common tick-borne viruses circulating in Eurasia, Yanggou tick virus—another member of the Jingmenvirus group—or some known members of the genus Flavivirus. The qPCR system was tested have no non-specific signal for Ixodes ricinus,I. persulcatus, Dermacentor reticulatus, D. marginatus, Haemaphysalis concinna,and H. japonica ticks. Overall, the qPCR system described here can be used for reliable and quantitative ALSV detection.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
