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J Vet Med Sci. 2016 Mar;78(3):383-9. doi: 10.1292/jvms.15-0552. Epub 2015 Nov 30.

Development of a novel detection system for microbes from bovine diarrhea by real-time PCR.

Author information

1
The United Graduate School of Veterinary Sciences, Gifu University, Yanagito, Gifu 501-1193, Japan.

Abstract

Diarrhea in cattle is one of the most economically costly disorders, decreasing milk production and weight gain. In the present study, we established a novel simultaneous detection system using TaqMan real-time PCR designed as a system for detection of microbes from bovine diarrhea using real-time PCR (referred to as Dembo-PCR). Dembo-PCR simultaneously detects a total of 19 diarrhea-causing pathogens, including viruses, bacteria and protozoa. Specific primer-probe sets were newly designed for 7 pathogens and were synthesized on the basis of previous reports for 12 pathogens. Assays were optimized to react under the same reaction conditions. The PCR efficiency and correlation coefficient (R(2)) of standard curves for each assay were more than 80% and 0.9766, respectively. Furthermore, the sensitivity of Dembo-PCR in fecal sample analysis was measured with feces spiked with target pathogens or synthesized DNA that included specific nucleotide target regions. The resulting limits of detection (LOD) for virus-spiked samples, bacteria and DNA fragments were 0.16-1.6 TCID50 (PFU/reaction), 1.3-13 CFU/reaction and 10-100 copies/reaction, respectively. All reactions showed high sensitivity in pathogen detection. A total of 8 fecal samples, collected from 6 diarrheic cattle, 1 diarrheic calf and 1 healthy cow, were tested using Dembo-PCR to validate the assay's clinical performance. The results revealed that bovine coronavirus had infected all diarrheic adult cattle and that bovine torovirus had infected the diarrheic calf. These results suggest that Dembo-PCR may be a powerful tool for diagnosing infectious agents in cattle diarrhea.

PMID:
26616156
PMCID:
PMC4829504
DOI:
10.1292/jvms.15-0552
[Indexed for MEDLINE]
Free PMC Article

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