Evidence map›Paper›PMID 24885747›Full record

ArticleParasites & vectors2014

First report of Cryptosporidium spp. in white yaks in China.

Si-Yuan Qin, Xiao-Xuan Zhang, Guang-Hui Zhao, Dong-Hui Zhou, Ming-Yang Yin, Quan Zhao, Xing-Quan Zhu

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% of its field
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Prevalence ofFrontiers in cellular and infection microbiology · 2021
    Pooled it
  2. Molecular Epidemiological Survey ofAnimals : an open access journal from MDPI · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Prevalence and Characterization ofFrontiers in cellular and infection microbiology · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Prevalence and Genetic Characterization ofBioMed research international · 2017
    Article
  11. Review
  12. A Molecular Survey ofFrontiers in microbiology · 2017
    Article
  13. Review
  14. Public health significance of zoonoticInternational journal for parasitology. Parasites and wildlife · 2016
    Review
  15. Article
  16. Article
  17. Molecular characterization ofThe Pan African medical journal · 2016
    Article
  18. Article
  19. Article
  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 at 4 institutions in 1 country.

Si-Yuan Qin
Xiao-Xuan Zhang
Guang-Hui Zhao
Dong-Hui ZhouState Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu Province 730046, PR China. donghui822002@163.com.
Ming-Yang Yin
Quan Zhao
Xing-Quan Zhu
Jilin Agricultural University · CNChinese Academy of Agricultural Sciences · CNLanzhou Veterinary Research Institute · CNNorthwest A&F University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCryptosporidium is an enteric apicomplexan parasite, which can infect yaks, leading to reduction of milk production and poor weight gain. White yak (Bos grunniens) is a unique yak breed inhabiting only in Tianzhu Tibetan Autonomous County, Gansu province, northwestern China. The objective of the present study was to molecularly determine Cryptosporidium infection and species in white yaks.

findingsSeventy-six fecal samples from white yaks in Tianzhu Tibetan Autonomous County, Gansu province were collected. The small subunit ribosomal RNA (SSU rRNA) gene of each sample was amplified using nested PCR and sequenced. The Cryptosporidium species was determined by comparison of the obtained sequences with that of corresponding Cryptosporidium sequences available in GenBank by BLAST (http://www.ncbi.nlm.nih.gov/BLAST/) and phylogenetic analysis with maximum likelihood (ML) using PAUP*. The overall prevalence of Cryptosporidium infection in white yak was 5.26% (4/76). Species identification showed C. andersoni in one sample (collected in September), and C. bovis in three samples (one collected in November and two collected in September).

conclusionsThe present investigation revealed the existence of Cryptosporidium infection in white yaks in China, for the first time, and two Cryptosporidium species, namely C. andersoni and C. bovis, were identified. These findings extend the host range for Cryptosporidium spp., and also provide base-line information for further studies of molecular epidemiology and control of Cryptosporidium infection in the unique white yaks.

Indexed as

AnimalsCattleCattle DiseasesChinaCryptosporidiosisCryptosporidiumFecesMolecular Sequence DataPhylogenyPolymerase Chain ReactionPrevalenceRNA, ProtozoanRNA, RibosomalRNA, ProtozoanRNA, Ribosomal

Identifiers

PMID24885747
PMCPMC4033679
OpenAlexW2120432704

What OpenQuestion holds

Textmetadata
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.