ORIGINAL RESEARCH article

Front. Vet. Sci.

Sec. Veterinary Infectious Diseases

Volume 12 - 2025 | doi: 10.3389/fvets.2025.1594488

This article is part of the Research TopicSentinels of Health: Advancements in Monitoring and Surveillance of Vector-Borne Diseases in Domestic and Wild Animals and VectorsView all 15 articles

Establishment of a multiplex qPCR assay for the detection of pathogens associated with bovine respiratory diseases complex

Provisionally accepted
Linghao  LiLinghao Li1,2Qifeng  JiangQifeng Jiang1,2Siying  LiSiying Li1,2Xin  LiXin Li1,2Shenghe  SunShenghe Sun1,2Xiyi  WangXiyi Wang1Chuangqi  SunChuangqi Sun1,2Kun  JiaKun Jia1,2Shoujun  LiShoujun Li1,2*
  • 1College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong Province, China
  • 2Guangdong Technological Engineering Research Center for Pet, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China

The final, formatted version of the article will be published soon.

The bovine respiratory disease complex poses a significant threat to the cattle industry, necessitating a multifaceted approach to address its occurrenceetiology. The syndrome is caused by various pathogens such as bovine respiratory syncytial virus (BRSV), bovine parainfluenza virus type 3 (BPIV3), bovine viral diarrhea virus (BVDV), bovine adenovirus type 3 (BAV3), Mycoplasma bovis (Mb), and infectious bovine rhinotracheitis virus (IBRV). The confluence of these pathogens causes substantial economic losses to the cattle industry. Although preventive and control measures have been implemented, containment of bovine respiratory diseases continues to present a formidable challenge, highlighting the need for innovative diagnostic and intervention strategies. In this study, we designed specific primers targeting six conserved pathogen genes (N of BRSV, M of BPIV3, 5'UTR of BVDV, Hexon of BAV3, oppF of Mb, and gB of IBRV). Subsequently, we established a multiplexed fluorescent real-time quantitative PCR (qPCR) assay for simultaneous detection of these pathogens. The developed method exhibited high specificity and sensitivity, with the lowest detection limits for plasmid DNA standards of BRSV, BPIV3, BVDV, BAV3, Mb, and IBRV being 70.1, 40.4, 15.1, 74.4, 69.6, and 4.99 copies/μL, respectively. The coefficients of variation determined by the assay established in this study were <4%, and the amplification efficiency was 93.84%-111.60%, which showed the reliability and stability of the method. The detection rates for BRSV, BPIV3, BVDV, BAV3, Mb, and IBRV were 7.59% (17/224), 11.61% (26/224), 8.04% (18/224), 22.32% (50/224), 27.23% (61/224), and 8.04% (18/224), respectively. All 224 cows were cases of natural disease. Fifty-six diseased cattle were infected with a mixture of two or more of the six pathogens at a mixed infection rate of 25% (56/226224). Therefore, this study successfully developed a highly efficient, rapid, specific, and sensitive multiplex qPCR method to detect major pathogens associated with bovine respiratory diseases. This advancement is expected to significantly influence the future of the cattle industry and serve as a valuable reference for subsequent research in this field.

Keywords: Bovine respiratory syncytial virus, Bovine parainfluenza virus type 3, bovine viral diarrhea virus, Bovine Adenovirus type 3, Mycoplasma bovis, Infectious bovine rhinotracheitis virus, Highlight

Received: 16 Mar 2025; Accepted: 07 Apr 2025.

Copyright: © 2025 Li, Jiang, Li, Li, Sun, Wang, Sun, Jia and Li. 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: Shoujun Li, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, Guangdong 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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