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

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% (56/224). 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.

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Publication Details

Journal
Frontiers in Veterinary Science
Published
2025-04-22
DOI
https://doi.org/10.3389/fvets.2025.1594488
Citations
5
Primary Topic
Microbial infections and disease research
Type
article
Field-Weighted Citation Impact
5.92
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article

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

Linghao Li, Kun Jia, Xiyi Wang, Sheng Sun et al.
5 citations
Frontiers in Veterinary Science
Microbial infections and disease research
5.92
article

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

Linghao Li, Kun Jia, Xiyi Wang, Sheng Sun, Xin Li, Siying Li, Qifeng Jiang, Cheng Sun
article en
5 citations

Abstract

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% (56/224). 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.

Frontiers in Veterinary ScienceVol. 12
South China Agricultural University (CN)
Openalex Percentile: Top 4%
Microbial infections and disease research
5.92
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