Evidence map›Paper›PMID 34866074›Full record

ArticleThe Journal of veterinary medical science2022

Prevalence and molecular characterization of Cryptosporidium spp. and Enterocytozoon bieneusi from large-scale cattle farms in Anhui Province, China.

Xinchao Liu, Li Tang, Wenchao Li, Charles Li, Youfang Gu

Abstract read
In one paragraph

Article in The Journal of veterinary medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Molecular Prevalence andAnimals : an open access journal from MDPI · 2026
    Article
  2. Article
  3. Molecular Epidemiology ofMicroorganisms · 2025
    Article
  4. Investigation of Infection ofVeterinary sciences · 2025
    Article
  5. Article
  6. Article
  7. Prevalence and zoonotic potential ofFrontiers in veterinary science · 2025
    Article
  8. Current research in parasitology & vector-borne diseases · 2025
    Article
  9. Prevalence and molecular characterization ofFrontiers in veterinary science · 2025
    Article
  10. Article
  11. Prevalence and Molecular Characterization ofAnimals : an open access journal from MDPI · 2024
    Article
  12. Article
  13. Molecular prevalence and genotype identification ofFrontiers in veterinary science · 2024
    Article
  14. Molecular Identification and Genotyping ofAnimals : an open access journal from MDPI · 2023
    Article
  15. Article
  16. Molecular Detection and Genotyping ofAnimals : an open access journal from MDPI · 2022
    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

5 authors.

Xinchao LiuAnhui Province Key Laboratory of Animal Nutritional Regulation and Health, College of Animal Science, Anhui Science and Technology University, Fengyang, 233100, PR China.
Li TangAnhui Province Key Laboratory of Animal Nutritional Regulation and Health, College of Animal Science, Anhui Science and Technology University, Fengyang, 233100, PR China.
Wenchao LiAnhui Province Key Laboratory of Animal Nutritional Regulation and Health, College of Animal Science, Anhui Science and Technology University, Fengyang, 233100, PR China.
Charles LiAnimal Biosciences and Biotechnology Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, MD 20705, USA.
Youfang GuAnhui Province Key Laboratory of Animal Nutritional Regulation and Health, College of Animal Science, Anhui Science and Technology University, Fengyang, 233100, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the prevalence of Cryptosporidium spp. and Enterocytozoon bieneusi from large-scale cattle farms in Anhui Province, 955 fecal samples were collected from 16 cattle farms from March to October 2018, which included six dairy farms (526), seven yellow cattle farms (323), and three water buffalo farms (106) in different regions of Anhui Province. PCR was conducted on all fecal samples using the 18S ribosomal RNA of Cryptosporidium spp. and internal transcribed spacer gene of E. bieneusi to detect these two pathogens, and the positive samples were sequenced and analyzed. The results showed that 23 (2.4%) and 40 (4.2%) out of the 955 samples were positive for Cryptosporidium spp. and E. bieneusi, respectively. There were 11 (2.1%), 10 (3.1%), and 2 (1.9%) positive samples of Cryptosporidium spp. and 16 (3.0%), 23 (7.1%), and 1 (0.9%) positive samples of E. bieneusi collected from dairy cattle, yellow cattle, and water buffalo, respectively, and no co-infection was identified in this study. All positive samples of Cryptosporidium spp. were C. andersoni with some variations. Ten E. bieneusi genotypes were obtained, including two known genotypes, J and CHN11, and eight new genotypes, named AHDC1 and AHYC1-7. The genotype CHN11 belonged to zoonotic Group 1, and the other nine genotypes belonged to Group 2, which is mainly documented in ruminants. These results indicated that Cryptosporidium spp. and E. bieneusi infections were present in large-scale cattle farms in Anhui Province. Therefore, attention should be paid to the development of containment strategies of these two pathogens in cattle.

Indexed as

Cattle DiseasesCryptosporidiosisCryptosporidiumEnterocytozoonMicrosporidiosisAnimalsCattleChinaFarmsFecesGenotypePhylogenyPrevalenceAnhui ProvincecattleCryptosporidium spp.Enterocytozoon bieneusiprevalence

Identifiers

PMID34866074
PMCPMC8810317

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.