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ORIGINAL RESEARCH article
Front. Vet. Sci.
Sec. Veterinary Infectious Diseases
Volume 12 - 2025 | doi: 10.3389/fvets.2025.1561533
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Bovine rotavirus (BRV), bovine coronavirus (BCoV), Escherichia coli K99 + (E. coli K99 + ), and Cryptosporidium parvum (C. parvum) are the most common pathogens involved in calf production. These pathogens can cause calf diarrhoea, leading to significant economic losses in the cattle farming industry. These four pathogens have similar clinical symptoms, making them difficult to distinguish. Therefore, we established a one-step quadruple TaqMan fluorescence quantitative PCR method capable of simultaneously and rapidly detecting BRV, BCoV, E. coli K99 + , and C. parvum. Specific primers and TaqMan probes were designed for the BRV VP-6 gene, BCoV N gene, E. coli K99 + K99 gene, and C. parvum 18S rRNA gene. Standard positive plasmids were constructed, and the reaction conditions of the method were optimized. The sensitivity, specificity, and repeatability of the method were validated, and clinical samples were tested. The minimum detection limits of this method for BRV, BCoV, E. coli K99 + , and C. parvum were 5.8 × 10 1 , 2.3 × 10 1 , 4.5 × 10 2 , and 2.6 × 10 1 copies/μL, respectively. The intra-and intergroup coefficients of variation were all less than 1.2%. This method has the advantages of strong specificity, reproducibility, low cost, and no cross-reaction with other bovine pathogens.Compared with the commercial reagent kit method were used to analyse clinical samples, and both the diagnostic sensitivity (DSe) and diagnostic specificity (DSp) were above 90%, with kappa values greater than 0.9. The one-step multiplex RT-qPCR method developed in this study for detecting BRV, BCoV, E. coli K99 + , and C. parvum is expected to be an effective tool for the rapid and economical diagnosis and monitoring of diarrhoeal diseases in calves.
Keywords: BRV, BCoV, E. coli K99 +, C. parvum, Multiplex TaqMan real-time PCR
Received: 16 Jan 2025; Accepted: 10 Mar 2025.
Copyright: © 2025 Zhao, Li, Yang, Wang, Zheng, Yin, Gao, Li, Fu and Cao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Zhi Cao, Qingdao Agricultural University, Qingdao, Shandong Province, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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