Evidence map›Paper›PMID 31752852›Full record

ArticleBMC veterinary research2019

Molecular characterization and distribution of Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi from yaks in Tibet, China.

Yayun Wu, Yankai Chang, Xiangqian Zhang, Yuancai Chen, Dongfang Li, Lu Wang, Shuangjian Zheng, Rongjun Wang, Sumei Zhang, Fuchun Jian and 3 more

Abstract read
In one paragraph

Article in BMC veterinary research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Molecular Characterization and Zoonotic Potential ofTransboundary and emerging diseases · 2026
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  3. Detection and genetic diversity ofFood and waterborne parasitology · 2025
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  4. Molecular Epidemiology ofMicroorganisms · 2025
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  10. Molecular Detection and Genotyping ofAnimals : an open access journal from MDPI · 2022
    Article
  11. Article
  12. Prevalence and new genotypes ofInternational journal for parasitology. Parasites and wildlife · 2022
    Article
  13. Article
  14. 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

13 authors.

Yayun WuCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan Province, China.
Yankai ChangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan Province, China.
Xiangqian ZhangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan Province, China.
Yuancai ChenCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan Province, China.
Dongfang LiCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan Province, China.
Lu WangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan Province, China.
Shuangjian ZhengCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan Province, China.
Rongjun WangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan Province, China.
Sumei ZhangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan Province, China.
Fuchun JianCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan Province, China.
Changshen NingCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan Province, China.
Jiakui LiCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, Hubei Province, China.
Longxian ZhangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan Province, China. zhanglongxian8999@foxmail.com.ORCID http://orcid.org/0000-0002-5706-131X

Funding

Chinese Agricultural Research Systems CARS-37Key Technologies Research and Development Program 2017YFD0500405Key Technologies Research and Development Program 2017YFD0501305National Natural Science Foundation of China 30600603National Natural Science Foundation of China 31672548Natural Science Foundation of Henan Province 162300410129
6 · The paper itself

Abstract

backgroundWith worldwide distribution and importance for veterinary medicine, Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi have been found in a wide variety of vertebrate hosts. At present, few available molecular data can be used to understand the features of genetic diversity of these pathogens in areas without or less intensive farming. Dominated by grazing, Tibet is a separate geographic unit in China and yaks are in frequent contact with local herdsmen and necessary for their daily life. Therefore, to investigate the distribution of these pathogens in yaks of Tibet, 577 fecal specimens were screened using nested PCR for the presence and genotypes of the three intestinal pathogens.

resultsThe overall prevalence of Cryptosporidium spp., G. duodenalis, and E. bieneusi were 1.4% (8/577), 1.7% (10/577), and 5.0% (29/577), respectively. Cryptosporidium andersoni (n = 7) and Cryptosporidium bovis (n = 1) were detected by sequence analysis of the SSU rRNA gene. Genotyping at the SSU rRNA and triosephosphate isomerase genes suggested that all G. duodenalis positive specimens belonged to assemblage E. Sequence analysis of the internal transcribed spacer gene identified six known E. bieneusi genotypes: BEB4 (n = 11), I (n = 6), D (n = 5), J (n = 2), CHC8 (n = 1), and BEB6 (n = 1). One subtype (A5,A4,A2,A1) for C. andersoni and three multilocus genotypes for E. bieneusi were identified by multilocus sequence typing.

conclusionsWe report for the first time the status of three enteric pathogens infection simultaneously for grazing yaks in Tibet. Yaks in our study are likely to impose a low zoonotic risk for humans. The molecular epidemiology data add to our knowledge of the characteristics of distribution and transmission for these pathogens in Tibet and their zoonotic potential and public health significance.

Indexed as

AnimalsCattleCattle DiseasesCryptosporidiosisCryptosporidiumEnterocytozoonGiardia lambliaGiardiasisMicrosporidiosisPhylogenySpecies SpecificityTibetCryptosporidium spp.Enterocytozoon bieneusiGiardia duodenalisGrazingTibetYaksZoonotic

Identifiers

PMID31752852
PMCPMC6873568

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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.