Evidence map›Paper›PMID 41331487›Full record

ArticleParasites & vectors2025

Molecular characterization of livestock-associated ticks and tick-borne bacteria in Xinjiang, northwestern China.

Haipeng Tan, Xiaonan Dong, Jiamei Kang, Nan Bu, Yishuai Zhang, Zehao Qi, Zixuan Li, Zilong Zhang, Xuyang Zhang, Huidong Wang and 3 more

Abstract read
In one paragraph

Article in Parasites & vectors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Molecular surveillance ofInternational journal for parasitology. Parasites and wildlife · 2026
    Article
  3. Article
  4. 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

13 authors.

Haipeng TanCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Xiaonan DongCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Jiamei KangCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Nan BuCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Yishuai ZhangCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Zehao QiCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Zixuan LiCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Zilong ZhangCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Xuyang ZhangCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Huidong WangCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Yulin DingCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Yonghong LiuCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China. lyhdky@126.com.ORCID http://orcid.org/0000-0003-4432-9433
Li ZhaoCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China. zhaolidky@126.com.ORCID http://orcid.org/0000-0001-8538-5605

Funding

Foundation for Innovative Research Groups of the National Natural Science Foundation of China 32260887Scientific Innovation Team Project BR251303
6 · The paper itself

Abstract

backgroundXinjiang Uygur Autonomous Region represents a critical pastoral zone at the livestock-tick-human interface in northwestern China, yet molecular data on tick-borne pathogens in this region remain scarce.

methodsBetween 2017 and 2018, 6172 ticks were collected from cattle, sheep, goats, horses, and dogs across 18 counties in Xinjiang. Tick species identification was performed through morphological examination and cytochrome oxidase I (COI) gene barcoding. Pooled samples (n = 55) were screened using polymerase chain reaction (PCR) and sequencing targeting Rickettsia (glutamate transporter A [gltA], outer membrane protein A [ompA] genes), Anaplasma (16S ribosomal RNA [16S rRNA]), Borrelia (heat shock protein GroEL [groEL]), and broad-range bacterial diversity (16S rRNA).

resultsSeven tick species were identified: Alveonasus lahorensis (33.7%), Dermacentor marginatus (32.3%), Rhipicephalus turanicus (21.9%), Dermacentor silvarum (5.7%), Hyalomma asiaticum (4.0%), and Haemaphysalis sulcata (2.5%). Rickettsia DNA was detected in 28 of 55 pools (50.9%), with sequences showing relatedness to Rickettsia raoultii, Rickettsia massiliae, and Rickettsia barbariae. Anaplasma capra was identified in D. marginatus collected from goats (1.8% of pools), while Borrelia miyamotoi was detected in R. turanicus from sheep (1.8% of pools). Additional bacterial genera detected included Arsenophonus in D. marginatus, Coxiella in R. turanicus, and Francisella in H. asiaticum. Notably, R. massiliae was detected in both eggs and unfed larvae of R. turanicus, consistent with transovarial transmission.

conclusionsThis study represents the first comprehensive molecular survey of livestock-associated ticks in Xinjiang, revealing high prevalence of spotted fever group rickettsiae and the presence of emerging tick-borne pathogens. Our findings underscore potential zoonotic risks within pastoral systems and emphasize the critical need for enhanced One Health surveillance strategies at the livestock-human interface in this region.

Indexed as

BacteriaLivestockTick-Borne DiseasesTick InfestationsTicksAnaplasmaAnimalsBorreliaCattleChinaDNA, BacterialDogsGoatsHorsesPhylogenyRickettsiaDNA, BacterialRNA, Ribosomal, 16SAnaplasmaBorreliaChinaLivestockRickettsiaTickXinjiang

Identifiers

PMID41331487
PMCPMC12777473

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.