Evidence map›Paper›PMID 27737706›Full record

ArticleParasites & vectors2016

Prevalence and multilocus genotyping of Giardia duodenalis in dairy calves in Xinjiang, Northwestern China.

Meng Qi, Haiyan Wang, Bo Jing, Rongjun Wang, Fuchun Jian, Changshen Ning, Longxian Zhang

Abstract read
In one paragraph

Article in Parasites & vectors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
–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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Molecular Epidemiology ofMicroorganisms · 2025
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  5. Investigation of Infection ofVeterinary sciences · 2025
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  6. Prevalence and zoonotic potential ofFrontiers in veterinary science · 2025
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  7. Genetic Characterization and Zoonotic Potential ofTransboundary and emerging diseases · 2025
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  8. Article
  9. Article
  10. Prevalence and Molecular Characterization ofAnimals : an open access journal from MDPI · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Prevalence and multilocus genotyping ofFrontiers in veterinary science · 2022
    Article
  17. Zoonotic giardiasis: an update.Parasitology research · 2021
    Review
  18. Article
  19. Cryptosporidiosis and Giardiasis in Buffaloes (Frontiers in veterinary science · 2020
    Review
  20. 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.

Meng QiCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, 95 Wenhua Road, Zhengzhou, 450002, People's Republic of China.
Haiyan WangDepartment of Animal Science, Henan Vocational College of Agriculture, Zhongmu, 451450, People's Republic of China.
Bo JingCollege of Animal Science, Tarim University, 1487 Tarim Road, Alar, 843300, People's Republic of China.
Rongjun WangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, 95 Wenhua Road, Zhengzhou, 450002, People's Republic of China.
Fuchun JianCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, 95 Wenhua Road, Zhengzhou, 450002, People's Republic of China.
Changshen NingCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, 95 Wenhua Road, Zhengzhou, 450002, People's Republic of China.
Longxian ZhangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, 95 Wenhua Road, Zhengzhou, 450002, People's Republic of China. zhanglx8999@henau.edu.cn.ORCID 0000-0002-5706-131X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiardia duodenalis is an important protozoan parasite. It is an established zoonotic pathogen and dairy calves have been implicated as one of the most important sources of human infection. This study was conducted to assess the prevalence and multilocus genotyping of G. duodenalis in dairy calves in the Xinjiang Uyghur Autonomous Region, northwestern China.

findingsA total of 514 fresh fecal samples were randomly collected from dairy calves in 15 farms in Xinjiang, 13.4 % (69/514) tested positive for G. duodenalis by polymerase chain reaction (PCR) detection of the small subunit ribosomal RNA (SSU rRNA) gene, with the prevalence being 9.7 % (23/237) and 16.6 % (46/277) in pre- and post-weaned calves, respectively. Sequence analysis of the SSU rRNA gene predominantly detected G. duodenalis assemblage E (92.8 %, 64/69), whereas assemblage A was identified in five samples (7.2 %, 5/69). All G. duodenalis-positive samples were assayed with PCR followed by sequencing at β-giardin (bg), glutamate dehydrogenase (gdh) and triosephosphate isomerase (tpi) genes, and 29, 37 and 33 sequences were obtained, respectively. The presence of mixed G. duodenalis assemblage A and E was detected in only one sample. Multilocus genotyping yielded 15 multilocus genotypes (MLGs), one new assemblage A MLG, and 14 assemblage E MLGs. All assemblage E MLGs identified here differed genetically from those of cattle from Henan Province, Central China.

conclusionsOur data indicate that G. duodenalis is a common parasite in dairy calves in Xinjiang, China, and calves appear to be a reservoir of G. duodenalis that is infectious to humans. The differences in the distribution of G. duodenalis assemblage E MLGs from cattle were likely to be because of geographical segregation.

Indexed as

GenotypeAnimalsCattleCattle DiseasesChinaCluster AnalysisDNA, ProtozoanDNA, RibosomalGenotyping TechniquesGiardia lambliaGiardiasisMolecular EpidemiologyPhylogenyPolymerase Chain ReactionPrevalenceProtozoan ProteinsDNA, ProtozoanDNA, RibosomalProtozoan ProteinsRNA, Ribosomal, 18SDairy calvesGenotypingGiardia duodenalisPrevalence

Identifiers

PMID27737706
PMCPMC5064801

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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.