Evidence map›Paper›PMID 42743369›Full record

ArticlePLoS neglected tropical diseases2026

Metagenomic insights into pathogen diversity and public health risk of Haemaphysalis longicornis in Gansu Province of China.

Biao Yang, Qiaoyun Ren, Junwei Wang, Xinxin Zhang, Hong Yin, Jinming Wang, Guiquan Guan

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Biao YangState Key Laboratory of Animal Disease Control and Prevention, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China.ORCID https://orcid.org/0009-0004-5391-0726
Qiaoyun RenState Key Laboratory of Animal Disease Control and Prevention, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China.
Junwei WangState Key Laboratory of Animal Disease Control and Prevention, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China.
Xinxin ZhangState Key Laboratory of Animal Disease Control and Prevention, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China.
Hong YinState Key Laboratory of Animal Disease Control and Prevention, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China.
Jinming WangState Key Laboratory of Animal Disease Control and Prevention, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China.ORCID https://orcid.org/0000-0002-2076-3764
Guiquan GuanState Key Laboratory of Animal Disease Control and Prevention, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China.ORCID https://orcid.org/0000-0002-1631-2274

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tick Haemaphysalis longicornis vectors numerous zoonotic pathogens, yet its pathogen diversity and associated spatial health risks are not fully characterized. To profile this vector, we performed metagenomic sequencing on 290 H. longicornis ticks across 29 sites in Gansu Province, China. We resolved 25 bacterial and one protozoan genera, with computational analyses revealing population-level distribution patterns and identifying environmental factors as key drivers of spatial variation.We detected marker genes associated with 12 pathogenic microorganisms. Alongside established threats (Rickettsia conorii, R. rickettsii, Coxiella burnetii, and Francisella novicida), we additionally identified several pathogens not previously reported in this vector, including Candidatus Bartonella merieuxii, Acinetobacter lwoffii, Shigella flexneri, Staphylococcus chromogenes, Moraxella atlantae, Pseudomonas alabamensis, and Trypanosoma spp. Furthermore, four potentially novel strains were identified within R. conorii, Escherichia coli, and Acinetobacter pseudolwoffii. Spatial Bayesian risk modeling localized the highest exposure risks to the Linxia, Zhangye, and Wuwei regions. The tick microbiome contained 31 clinically prioritized antibiotic resistance genes (ARGs), many of which co-localized with mobile genetic elements (MGEs). Overall, these findings reveal the diversity of pathogens associated with H. longicornis and their public health relevance, supporting future efforts in disease surveillance and risk assessment.

Indexed as

BacteriaHaemaphysalis longicornisMetagenomeAnimalsChinaHumansMetagenomicsPublic Health

Identifiers

PMID42743369
PMCPMC13588528

What OpenQuestion holds

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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.