Evidence map›Paper›PMID 40588758›Full record

ArticleVirology journal2025

The silent spread: uncovering the diversity and evolution of poxviruses in ticks across Western China's host landscapes.

Yuxi Wang, Zhenhua Lu, Jingjing Hu, Xiaojie Yuan, Weijie Chen, Shuiping Lu, Yue Pan, Qi Chen, Siru Hu, Weilu Zhang and 1 more

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 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. 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

11 authors.

Yuxi Wang *Department of Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, 200433, China.
Zhenhua Lu *Department of Epidemiology, Ministry of Education Key Laboratory of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, 710032, China.
Jingjing Hu *Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, 200433, China.
Xiaojie YuanDepartment of Epidemiology, Ministry of Education Key Laboratory of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, 710032, China.
Weijie ChenDepartment of Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, 200433, China.
Shuiping LuDepartment of Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, 200433, China.
Yue PanDepartment of Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, 200433, China.
Qi ChenShanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, 200433, China.
Siru HuDepartment of Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, 200433, China.
Weilu ZhangDepartment of Epidemiology, Ministry of Education Key Laboratory of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, 710032, China. zhangweilu@126.com.
Chenglong XiongDepartment of Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, 200433, China. xiongchenglong@fudan.edu.cn.

Funding

the Shanghai New Three-year Action Plan for Public Health Grant No. GWVI-11.1-03
6 · The paper itself

Abstract

backgroundPoxviruses are a diverse group of pathogens with significant implications for both human and animal health. Ticks, as hematophagous arthropods, are capable of switching hosts during their life cycle. Although previous research has suggested the potential for parapoxviral transmission via ticks, the poxviral transmission dynamics remain poorly understood, particularly regarding the role of ticks as vectors.

methodsTick samples were collected from western China, followed by metagenomic sequencing. The diversity of potential blood-feeding hosts and the prevalence of poxviruses were assessed using BWA. Poxviral sequences were assembled using MetaSPAdes and TGICL, and phylogenetic analysis was conducted to examine the origin of prevalent poxviruses and the unblasted poxviral fragments in ticks.

resultsA total of 61 poxvirus species across 22 genera were identified, with 387 distinct poxviral sequences assembled. Of these, viral and host abundance were relatively higher in Tibet than in samples from Shaanxi and Gansu. Notably, unblasted gene fragments were identified within the assembled poxviral genomes, originating from a broad range of hosts, including mammals (e.g., rodents), fish, and arthropods. Phylogenetic analysis of the parapoxviruses revealed ongoing mutations, particularly in the Parapoxvirus orf, suggesting an increase in adaptability and potential pathogenicity. The results indicate that environmental factors such as altitude, host availability and host sensitivity may significantly shape viral diversity and transmission dynamics.

conclusionsTicks may contribute to the ecological circulation of poxviruses by switching hosts during their life cycle, potentially influencing viral genetic diversity. It underscores the risks of zoonotic spillover, particularly in regions with frequent human-animal interactions.

Indexed as

Evolution, MolecularGenetic VariationPoxviridaePoxviridae InfectionsTicksAnimalsChinaGenome, ViralHumansPhylogenyEvolutionGene gainHostPoxvirusTick

Identifiers

PMID40588758
PMCPMC12207798

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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.