Prevalence and molecular characterization of Cryptosporidium spp. in dairy cattle in Central Inner Mongolia, Northern China

BMC Veterinary Research

Research

Bo Yang¹  Yong-Jie Zhan²  Li-Feng Wang²  Hai-Liang Chai²  Zhan-Sheng Zhang²  Ming-Yuan Wang²  Wei-Hong Zhao²  Yi-Min Ma²  Yan Wang²  Shan Zhang²  Yu-Lin Ding³  Li Zhao³  Jin-Ling Wang³  Yong-Hong Liu³  Wen-Xiong Han⁴ 

[1] Animal Disease Control Center of Ordos, Ordos, China;College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China;College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China;Key Laboratory of Clinical Diagnosis and Treatment Technology in Animal Disease, Ministry of Agriculture and Rural Affairs, Hohhot, China;Inner Mongolia Saikexing Reproductive Biotechnology (Group) Co.,Ltd, Hohhot, China;

关键词: Cryptosporidium;    Prevalence;    Molecular characterization;    China;   

DOI  :  10.1186/s12917-023-03696-z

 received in 2023-02-27, accepted in 2023-08-18,  发布年份 2023

来源: Springer

【 摘 要 】

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.

【 授权许可】

CC BY   
© BioMed Central Ltd., part of Springer Nature 2023

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