Evidence map›Paper›PMID 40814027›Full record

ArticleBMC infectious diseases2025

The differences in microbial communities and Tick-Borne pathogens between Dermacentor marginatus and Hyalomma asiaticum collected from the Northwestern Xinjiang Uygur Autonomous Region, China.

Like Duan, Xiaona Yang, Lin Zhang, Xuexia Hou, Lijuan He, Jingwen Li, Qin Hao

Abstract read
In one paragraph

Article in BMC infectious 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. Article
  2. Metagenomic Profile of Bacterial Communities ofPathogens (Basel, Switzerland) · 2025
    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

7 authors.

Like Duan *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiaona Yang *Daxing District Center for Disease Control and Prevention, Beijing, China.
Lin ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xuexia HouNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Lijuan HeNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jingwen LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Qin HaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. haoqin@icdc.cn.

Funding

an autonomous project of the National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention 32055Development of Two Chinese Lyme Disease-Specific Detection Kits 2019HX007the National Science and Technology Major Project of China 2017ZX10303404006003
6 · The paper itself

Abstract

backgroundTicks are important vectors for the transmission of pathogens, including viruses, bacteria, and protozoa. This study investigated the microbial communities and the dominant tick-borne bacteria carried by ticks collected from Wenquan County and Gurtu Town, northwestern Xinjiang Uygur Autonomous Region (XUAR), China.

methodsMore than 600 questing ticks were collected each from Gurtu and Wenquan by using the flagging method in 2020. Genomic DNA was extracted from 100 ticks randomly selected from each collection site. High-throughput sequencing of the 16S rDNA V3-V4 region was performed to analyze the composition of the microbial communities. Subsequently, species-specific polymerase chain reaction (PCR) was conducted to confirm the presence of pathogenic bacteria.

resultsThe ticks collected from Wenquan and Gurtu were identified as Dermacentor marginatus and Hyalomma asiaticum, respectively. High-throughput sequencing of the 16S rDNA V3-V4 region identified Acinetobacter, Rickettsia and Coxiella as the three genera with the highest relative abundance in D. marginatus, while Francisella was the most abundant genus in H. asiaticum. PCR detected the presence of spotted fever group rickettsiae (SFGR) (55/100), Borrelia burgdorferi (6/100), and B. miyamotoi (4/100) in D. marginatus, as well as B. miyamotoi (1/100) in H. asiaticum. Phylogenetic analysis revealed that SFGR were genotyped as Rickettsia raoultii (36/55) and R. sibirica (19/55). Borrelia burgdorferi was clustered with B. bavariensis (2/6), B. afzelii (2/6), and B. yangtzensis (2/6). Co-infections of B. burgdorferi and SFGR (3/100) as well as B. miyamotoi and SFGR (3/100) were detected in D. marginatus.

conclusionsThe present study demonstrated that SFGR were the dominant tick-borne bacteria in D. marginatus collected from Wenquan. Particularly, this study reported for the first time the presence of B. bavariensis, B. yangtzensis, and B. miyamotoi in D. marginatus in China. Extensive and comprehensive investigations into the prevalence of tick-borne pathogens in ticks, host animals, and local populations in XUAR should be conducted.

Indexed as

Arachnid VectorsBorrelia burgdorferiDermacentorRickettsiaTick-Borne DiseasesAnimalsChinaCoinfectionMicrobiotaBorrelia burgdorferiBorrelia miyamotoiDermacentor marginatusHigh-throughput sequencingHyalomma asiaticumSpotted fever group Rickettsia

Identifiers

PMID40814027
PMCPMC12355748

What OpenQuestion holds

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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 OpenQuestion graph.