Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Jingmen tick virus (JMTV) is a recently discovered segmented RNA virus, closely related to flaviviruses. It was identified for the first time in 2014, in China and subsequently in Brazil. Following this discovery, JMTV-related sequences have been identified in arthropods, vertebrates (including humans), plants, fungus and environmental samples from Asia, America, Africa, Europe and Oceania. Several studies suggest an association between these segmented flavi-like viruses, termed jingmenviruses, and febrile illness in humans. The development of rapid diagnostic assays for these viruses is therefore crucial to be prepared for a potential epidemic, for the early detection of these viruses via vector surveillance or hospital diagnosis. In this study, we designed a RT-qPCR assay to detect tick-associated jingmenviruses, validated it and tested its range and limit of detection with six tick-associated jingmenviruses using transcripts. Then we screened ticks collected in Corsica (France) from different livestock species, in order to determine the distribution of these viruses on the island. In total, 6,269 ticks from eight species were collected from 763 cattle, 538 horses, 106 sheep and 218 wild boars and grouped in 1,715 pools. We report the first detection of JMTV in Corsica, in and ticks collected from cattle and sheep. The highest prevalence was found in the genus. The complete genome of a Corsican JMTV was obtained from a pool of ticks and shares between 94.7% and 95.1% nucleotide identity with a JMTV sequence corresponding to a human patient in Kosovo and groups phylogenetically with European JMTV strains. These results show that a Mediterranean island such as Corsica could act as a sentinel zone for future epidemics.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10996808PMC
http://dx.doi.org/10.21203/rs.3.rs-4136487/v1DOI Listing

Publication Analysis

Top Keywords

tick-associated jingmenviruses
12
jingmen tick
8
tick virus
8
corsica france
8
ticks collected
8
detection
5
jmtv
5
detection jingmen
4
corsica
4
virus corsica
4

Similar Publications

First detection of Jingmen tick virus in Corsica with a new generic RTqPCR system.

Npj Viruses

September 2024

Unite des Virus Emergents, (UVE: Aix-Marseille Univ, Universita di Corsica, IRD 190, Inserm 1207, IRBA), Marseille, France.

Jingmen tick virus (JMTV) is a recently discovered segmented RNA virus, closely related to flaviviruses. It was identified for the first time in 2014, in China and subsequently in Brazil. Following this discovery, JMTV-related sequences have been identified in arthropods, vertebrates (including humans), plants, fungus, and environmental samples from Asia, America, Africa, Europe, and Oceania.

View Article and Find Full Text PDF
Article Synopsis
  • Jingmen tick virus (JMTV) is a segmented RNA virus discovered in 2014, linked to febrile illnesses in humans, and found in various species and environments globally.
  • Researchers developed a RT-qPCR assay to detect these viruses in ticks, testing its effectiveness on samples collected from livestock in Corsica, France.
  • The study reports the first detection of JMTV in Corsican ticks, revealing a significant genetic similarity to strains found in human patients elsewhere, highlighting the island's potential role in future epidemic monitoring.
View Article and Find Full Text PDF

Viromics of extant insect orders unveil the evolution of the flavi-like superfamily.

Virus Evol

January 2021

Institute of Virology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Chariteplatz 1, 10117 Berlin, Germany.

Insects are the most diversified and species-rich group of animals and harbor an immense diversity of viruses. Several taxa in the flavi-like superfamily, such as the genus , are associated with insects; however, systematic studies on insect virus genetic diversity are lacking, limiting our understanding of the evolution of the flavi-like superfamily. Here, we examined the diversity of flavi-like viruses within the most complete and up-to-date insect transcriptome collection comprising 1,243 insect species by employing a RdRp profile hidden Markov model search.

View Article and Find Full Text PDF