ArticleBMC veterinary research2023
Prevalence and molecular characterization of Cryptosporidium spp. in dairy cattle in Central Inner Mongolia, Northern China.
Article in BMC veterinary research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- Cryptosporidium spp. infections in Tunisia: Epidemiology and public health implications.Veterinary medicine and science · 2026Pooled it
- Cryptosporidium infections in animals across Asia (2015-2025): a systematic review and meta-analysis of prevalence, host range, geographic distribution, and molecular epidemiology.Veterinary research · 2026Pooled it
- Seasonal Prevalence and Molecular Characterization ofLife (Basel, Switzerland) · 2026Article
- Development of Multiplex Real-Time Quantitative PCR for the Detection ofAnimals : an open access journal from MDPI · 2026Article
- Prevalence and genetic diversity of intestinal parasites in Xilingol League herbivores, Inner Mongolia, Northern China.Microbiology spectrum · 2026Article
- Molecular Epidemiological Survey ofAnimals : an open access journal from MDPI · 2025Article
- Prevalence and distribution of Cryptosporidium spp. in cattle in central and western Inner Mongolia, China.BMC microbiology · 2025Article
- Investigation of Infection ofVeterinary sciences · 2025Article
- Prevalence and Molecular Characterization of Cryptosporidium spp., Giardia duodenalis and Enterocytozoon bieneusi in Donkeys of Inner Mongolia, Northern China.Acta parasitologica · 2025Article
- First nationwide investigation ofCurrent research in parasitology & vector-borne diseases · 2025Article
- Prevalence and molecular characterization ofFrontiers in veterinary science · 2025Article
- Article
- Review
- A one health study on phylogenetics and risk of pathogenic intestinal parasites at a ranch in Inner Mongolia.One health (Amsterdam, Netherlands) · 2024Article
- Prevalence and molecular characterization of Cryptosporidium spp. in pre-weaned diarrheic dairy calves and their bedding materials in northern China.Parasitology research · 2024Article
- Article
- Molecular characterization and zoonotic risk assessment ofOne health (Amsterdam, Netherlands) · 2024Article
- Prevalence and Molecular Characterization ofAnimals : an open access journal from MDPI · 2024Article
- Molecular characterization of common zoonotic protozoan parasites and bacteria causing diarrhea in dairy calves in Ningxia Hui Autonomous Region, China.Parasite (Paris, France) · 2024Article
- Prevalence and molecular characterization of Cryptosporidium spp. in dairy and beef cattle in Shanxi, China.Parasitology research · 2023Article
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15 authors at 2 institutions in 2 countries.
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Abstract
backgroundCryptosporidium is a gastrointestinal protozoan that widely exists in nature, it is an established zoonotic pathogen. Infected cattle are considered to be associated with cryptosporidiosis outbreaks in humans. In the present study, we aimed to assess the prevalence and species distribution of Cryptosporidium in dairy cattle in Central Inner Mongolia.
methodsWe focused on the small subunit ribosomal RNA gene (SSU rRNA) of Cryptosporidium and 60-kDa glycoprotein gene (gp60) of Cryptosporidium parvum. We collected 505 dairy cattle manure samples from 6 sampling sites in Inner Mongolia in 2021; the samples were divided into 4 groups based on age. DNA extraction, polymerase chain reaction (PCR), sequence analysis, and restriction fragment length polymorphism (RFLP) using SspI and MboII restriction endonucleases were performed. RFLP analysis was performed to determine the prevalence and species distribution of Cryptosporidium.
resultsSSU rRNA PCR revealed that the overall prevalence of Cryptosporidium infection was 29.90% (151/505), with a prevalence of 37.67% (55/146) and 26.74% (96/359) in diarrheal and nondiarrheal samples, respectively; these differences were significant. The overall prevalence of Cryptosporidium infection at the 6 sampling sites ranged from 0 to 47.06% and that among the 4 age groups ranged from 18.50 to 43.81%. SSU rRNA sequence analysis and RFLP analysis revealed the presence of 4 Cryptosporidium species, namely, C. bovis (44.37%), C. andersoni (35.10%), C. ryanae (21.85%), and C. parvum (11.92%), along with a mixed infection involving two or three Cryptosporidium species. Cryptosporidium bovis or C. andersoni was the most common cause of infection in the four age groups. The subtype of C. parvum was successfully identified as IIdA via gp60 analysis; all isolates were identified as the subtype IIdA19G1.
conclusionsTo the best of our knowledge, this is the first report of dairy cattle infected with four Cryptosporidium species in Inner Mongolia, China, along with a mixed infection involving two or three Cryptosporidium species, with C. bovis and C. andersoni as the dominant species. Moreover, this is the first study to identify C. parvum subtype IIdA19G1 in cattle in Inner Mongolia. Our study findings provide detailed information on molecular epidemiological investigation of bovine cryptosporidiosis in Inner Mongolia, suggesting that dairy cattle in this region are at risk of transmitting cryptosporidiosis to humans.
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