Evidence map›Paper›PMID 40375193›Full record

ArticleVirology journal2025

Molecular detection of novel Jingmen tick virus in hard ticks from diverse hosts in Guangxi, southwestern China.

Panyu Chen, Xihua Wei, Tengcheng Que, Tengyue Yan, Shousheng Li, Yanli Zhong, Yingjiao Li, Meihong He, Wenjian Liu, Yanling Hu

Abstract read
In one paragraph

Article in Virology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Panyu Chen *Terrestrial Wildlife Rescue and Epidemic Diseases Surveillance Center of Guangxi, Nanning, Guangxi, 530003, China.
Xihua Wei *Life Sciences Institute, Guangxi Medical University, Nanning, Guangxi, 530021, China.
Tengcheng Que *Faculty of Data Science, City University of Macau, Macau, 999078, China.
Tengyue YanLife Sciences Institute, Guangxi Medical University, Nanning, Guangxi, 530021, China.
Shousheng LiTerrestrial Wildlife Rescue and Epidemic Diseases Surveillance Center of Guangxi, Nanning, Guangxi, 530003, China.
Yanli ZhongTerrestrial Wildlife Rescue and Epidemic Diseases Surveillance Center of Guangxi, Nanning, Guangxi, 530003, China.
Yingjiao LiTerrestrial Wildlife Rescue and Epidemic Diseases Surveillance Center of Guangxi, Nanning, Guangxi, 530003, China.
Meihong HeTerrestrial Wildlife Rescue and Epidemic Diseases Surveillance Center of Guangxi, Nanning, Guangxi, 530003, China.
Wenjian LiuFaculty of Data Science, City University of Macau, Macau, 999078, China. andylau@cityu.edu.mo.
Yanling HuFaculty of Data Science, City University of Macau, Macau, 999078, China. huyanling@gxmu.edu.cn.

Funding

Guangxi Key Research and Development Program No. Guike AB22035027National Natural Science Foundation of China 2023YFC2605400Natural Science Foundation of Guangxi Province 2023GXNSFAA026517
6 · The paper itself

Abstract

backgroundTicks are the second most important vectors of arboviruses after mosquitoes, and they also serve as reservoir hosts for some zoonotic diseases. It is essential to understand the prevalence of tick-borne viruses in ticks from different sampling sites and vectors, as this information can facilitate the surveillance and prevention of arboviral infectious diseases.

methodsWe systematically collected ticks from a variety of animals, including wildlife and domestic livestock, across 18 distinct regions in Guangxi Zhuang Autonomous Region(Guangxi). We then identified the ticks using traditional morphological classification and molecular biology methods to investigate the diversity of ticks in the regionWe also systematically examined the diversity of viruses carried by ticks using comprehensive virological methods based on viral metagenomics. We performed phylogenetic and recombination analyses for the assembled viral sequences.

resultsWe collected 1286 Ixodidae from 18 sampling sites in 17 districts of Guangxi. We identified 4 genera and 6 species of Ixodidae. We annotated 2 unclassified viruses and 13 known viral families. We assembled 208 nucleotide sequences and obtained six near full-length sequences of Jingmen tick virus (JMTV). Among these sequences, GXTV-PC4.2 and GXTV-43 were new mutant strains of JMTV. We detected genetic recombination of JMTV in segments 2, 3, and 4 of JMTV.

conclusionsOur study uncovers a diverse tick fauna in Guangxi, including 4 genera and 6 species, and a broad virome with 13 viral families and 2 novel viruses. The JMTV, in particular, shows significant genetic diversity and potential for cross-species transmission, marked by new strains and recombination events. These findings underscore the need for vigilant tick-borne disease surveillance in Guangxi.

Indexed as

IxodidaeAnimalsChinaGenetic VariationGenome, ViralMetagenomicsPhylogenyRecombination, GeneticSequence Analysis, DNADiversityGenetic evolutionary analysisIxodidaeJingmen tick virusViral Metagenomics

Identifiers

PMID40375193
PMCPMC12080052

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.