ArticleParasitology research2023
Prevalence and molecular characterization of Cryptosporidium spp. in dairy and beef cattle in Shanxi, China.
Article in Parasitology research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Seasonal Prevalence and Molecular Characterization ofLife (Basel, Switzerland) · 2026Article
- Molecular Epidemiological Survey ofAnimals : an open access journal from MDPI · 2025Article
- Occurrence and Molecular Characterization ofMicroorganisms · 2025Article
- Molecular analysis of cryptosporidiosis on cattle farms in Gran Canaria, Canary Islands (Spain).International journal of veterinary science and medicine · 2025Article
- Article
- Genetic Characterization and Zoonotic Potential ofTransboundary and emerging diseases · 2025Article
- Melatonin Treatment at Dry-off Reduces Postpartum Shedding of Coccidia in Primiparous Dairy Cows and Their Calves.Animals : an open access journal from MDPI · 2024Article
- Food and Waterborne Cryptosporidiosis from a One Health Perspective: A Comprehensive Review.Animals : an open access journal from MDPI · 2024Review
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Authors and funding
13 authors at 1 institution in 2 countries.
Funding
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Abstract
Cryptosporidium spp. are key gastrointestinal protists in humans and animals worldwide. Infected cattle are considered the main source of cryptosporidiosis outbreaks in humans. However, little is known about the genetic makeup of Cryptosporidium populations in Shanxi province, China. We analyzed 858 fecal samples collected from farms in Shanxi. The presence of Cryptosporidium spp. was determined via polymerase chain reaction and subsequent sequence analysis of the small subunit rRNA gene as well as restriction fragment length polymorphism analysis. Cryptosporidium parvum was subtyped following sequence analysis of the 60 kDa glycoprotein gene (gp60). The overall prevalence of Cryptosporidium in cattle was 11.19%, with a prevalence of 13.30% and 8.67% in Lingqiu and Yingxian, respectively. The overall prevalence of Cryptosporidium in dairy and beef cattle was 10.78% and 11.50%, respectively. Cryptosporidium infection was detected across all analyzed age groups. The overall prevalence of Cryptosporidium in diarrhea and nondiarrhea samples was 18.24% and 9.72%, respectively, whereas that in intensively farmed and free-range cattle was 17.40% and 3.41%, respectively. We identified five Cryptosporidium species, with C. andersoni being the dominant species. Further, two cases of mixed infections of Cryptosporidium species were detected. All identified C. parvum isolates belonged to the subtype IIdA17G1.
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