Evidence map›Paper›PMID 38978113›Full record

ArticleBMC veterinary research2024

Investigation of Babesia spp. and Theileria spp. in ticks from Western China and identification of a novel genotype of Babesia caballi.

Bing Zhang, Niuniu Zhang, Chunyan Gao, Mengyun Liu, Runda Jie, Miao Lu, Yanran Ma, Fanming Meng, Jingjing Huang, Xiao Wang and 1 more

Abstract read
In one paragraph

Article in BMC veterinary research, 2024. 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. Tropical medicine and infectious disease · 2026
    Article
  2. Article
  3. Article
  4. Rapid and sensitive detection of bovineFrontiers in microbiology · 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

11 authors.

Bing Zhang *Key Laboratory of Forensic Medicine, Institute of Medical Sciences, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi City, 830011, China.
Niuniu Zhang *Xinjiang Key Laboratory of Molecular Biology for Endemic Diseases, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi City, 830011, China.
Chunyan Gao *Yanjing Medical College, Capital Medical University, Shunyi District, Beijing City, 101300, China.
Mengyun LiuXinjiang 474 Hospital, China RongTong Medical Healthcare Group CO. LTD, Xinjiang Uygur Autonomous Region, Urumqi City, 830011, China.
Runda JieXinjiang Key Laboratory of Molecular Biology for Endemic Diseases, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi City, 830011, China.
Miao LuNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping Liuzi 5, Beijing, 102206, China.
Yanran MaXinjiang Key Laboratory of Molecular Biology for Endemic Diseases, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi City, 830011, China.
Fanming MengKey Laboratory of Forensic Medicine, Institute of Medical Sciences, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi City, 830011, China.
Jingjing HuangKey Laboratory of Forensic Medicine, Institute of Medical Sciences, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi City, 830011, China.
Xiao WangXinjiang 474 Hospital, China RongTong Medical Healthcare Group CO. LTD, Xinjiang Uygur Autonomous Region, Urumqi City, 830011, China. azeroth2022@163.com.
Kun LiNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping Liuzi 5, Beijing, 102206, China. likun@icdc.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Babesia spp. and Theileria spp. are tick-borne protozoan parasites with veterinary importance. In China, epidemiological and genetic investigations on many Babesia and Theileria species were still absent in many areas and many tick species. From Aug 2021 to May 2023, 645 ticks were collected from the body surface of domestic animals (camels, goats, sheep, and cattle) using tweezers in seven counties in three provinces including Xinjiang (Qitai, Mulei, Hutubi, and Shihezi counties), Chongqing (Youyang and Yunyang counties), and Qinghai (Huangzhong county). Three tick species were morphologically and molecularly identified (334 Hyalomma asiaticum from Xinjiang, 245 Rhipicephalus microplus from Chongqing, and 66 Haemaphysalis qinghaiensis from Qinghai). A total of three Babesia species and two Theileria species were detected targeting the 18S gene. The COI and cytb sequences were also recovered from Babesia strains for further identification. In R. microplus from Chongqing, Babesia bigemina, the agent of bovine babesiosis, was detected. Notably, in H. asiaticum ticks from Xinjiang, a putative novel genotype of Babesia caballi was identified (0.90%, 3/334), whose COI and cytb genes have as low as 85.82% and 90.64-90.91% nucleotide identities to currently available sequences. It is noteworthy whether the sequence differences of its cytb contribute to the drug resistance of this variant due to the involvement of cytb in the drug resistance of Babesia. In addition, Theileria orientalis and Theileria annulata were detected in R. microplus from Chongqing (12.20%, 31/245) and H. asiaticum from Xinjiang (1.50%, 5/334), respectively. These results suggest that these protozoan parasites may be circulating in domestic animals in these areas. The pathogenicity of the novel genotype of B. caballi also warrants further investigation.

Indexed as

BabesiaGenotypeTheileriaAnimalsBabesiosisCattleChinaGoatsIxodidaePhylogenySheepTheileriasisBabesia caballiHyalomma asiaticumNovel genotypeRhipicephalus microplusWestern China

Identifiers

PMID38978113
PMCPMC11229187

What Socratic holds

Textmetadata
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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 Socratic graph.