Evidence map›Paper›PMID 40906773›Full record

ArticlePLoS neglected tropical diseases2025

Surveillance of tick-borne viruses in the border regions of the Tumen River Basin: Co-circulation in ticks and livestock.

Zhe Liu, Shengwei Ji, Qiaocheng Chang, Jinqi Wang, Eloiza May Galon, Ying Xu, Guolu Yin, Jixu Li, Xu Gao, Wannian Tian and 5 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. First Report ofViruses · 2026
    Article
  2. Article
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

15 authors.

Zhe LiuDepartment of Veterinary Medicine, Agricultural College of Yanbian University, Yanji, China.
Shengwei JiDepartment of Veterinary Medicine, Agricultural College of Yanbian University, Yanji, China.
Qiaocheng ChangSchool of Public Health, Shantou University, Shantou, China.
Jinqi WangDepartment of Veterinary Medicine, Agricultural College of Yanbian University, Yanji, China.
Eloiza May GalonCollege of Veterinary Medicine and Biomedical Sciences, Cavite State University, Cavite, Philippines.
Ying XuDepartment of Veterinary Medicine, Agricultural College of Yanbian University, Yanji, China.
Guolu YinDepartment of Veterinary Medicine, Agricultural College of Yanbian University, Yanji, China.
Jixu LiYanbian Center for Disease Control and Prevention, Yanji, China.
Xu GaoDepartment of Veterinary Medicine, Agricultural College of Yanbian University, Yanji, China.
Wannian TianCollege of Animal Science, Jilin Agricultural Science and Technology College, Jilin, China.
Zhenzhen HanAnimal Health and Epidemic Prevention Center, Huludao, China.
Chenghui LiDepartment of Veterinary Medicine, Agricultural College of Yanbian University, Yanji, China.
Zhiqiang XuDepartment of Veterinary Medicine, Agricultural College of Yanbian University, Yanji, China.
Rui DuDepartment of Veterinary Medicine, Agricultural College of Yanbian University, Yanji, China.
Shujiang XueDepartment of Veterinary Medicine, Agricultural College of Yanbian University, Yanji, China.ORCID 0009-0000-1251-6651

Funding

Department of Education of Jilin ProvinceNational Natural Science Foundation of ChinaNatural Science Foundation of Jilin Province
6 · The paper itself

Abstract

backgroundThe unique eco-geographical patterns and climatic conditions of the China-Tumen River border region, combined with frequent cross-border tourism and trade activities, collectively establish this area as a recognized hotspot for tick-borne disease outbreaks. However, critical knowledge gaps persist regarding the eco-epidemiology of emerging tick-borne viruses and the distribution of their potential reservoir hosts within this trinational ecosystem spanning China, North Korea, and Russia.

methodsWe collected a total of 2,004 ticks from the study area, along with blood samples obtained from 42 sheep and 45 cattle. Following viral metagenomic analysis of the ticks, dual verification of target pathogens in all samples was performed using qRT-PCR and RT-PCR assays. Phylogenetic trees were constructed and nucleotide sequences were analyzed to delineate relationships between the obtained virus strains and reference sequences.

resultsViral metagenomics identified three viruses in ticks: Dabieshan tick virus (DBTV), Songling virus (SGLV), and Yanggou tick virus (YGTV). PCR analysis detected DBTV exclusively in Hunchun ticks (minimum infection rates, MIR:4.73%) and YGTV in Antu specimens (MIR:0.97%). Conversely, SGLV was detected in ticks from all four regions, with MIR of 1.68% (Helong), 0.74% (Hunchun), 1.61% (Antu), and 4.79% (Longjing). Concurrently, SGLV was detected in 19 sheep blood samples from Longjing, yielding a positivity rate of 45.24%, while YGTV was identified in 13 cattle blood samples from Antu, with a positivity rate of 28.89%. Phylogenetically, the DBTV strain clustered with previously reported DBTV and Yongjia tick virus 1 isolates. Sheep-derived SGLV strains shared close evolutionary ties with tick-borne SGLV, whereas YGTV from cattle and ticks formed a distinct cluster with Russian strains but diverged into two branches from Chinese variants, suggesting evolutionary instability.

conclusionThese findings address critical knowledge gaps in the transmission dynamics and genetic diversity of emerging arboviruses while providing vital insights for developing cross-border surveillance strategies with significant public health implications.

Indexed as

Cattle DiseasesLivestockSheep DiseasesTick-Borne DiseasesTicksAnimalsCattleChinaMetagenomicsPhylogenyRiversRussiaSheep

Identifiers

PMID40906773
PMCPMC12419658

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Registered trials

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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 OpenQuestion graph.