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Simultaneous detection and differentiation of porcine circovirus 3 and 4 using a SYBR Green І-based duplex quantitative PCR assay
- Source :
- Journal of Virological Methods. 293:114152
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Porcine circovirus 4 (PCV4) was a novel circovirus identified from diseased pigs in 2019 in Hunan Province, China, and PCV3 and PCV4 co-infection has been reported. In order to detect and differentiate PCV3 and PCV4 simultaneously, the SYBR Green І-based duplex quantitative PCR (qPCR) assay was established in the present study. The two viruses could be easily distinguished by different Tm values: 86.5°C for PCV3 and 79°C for PCV4, while other porcine pathogens did not shown specific melting peaks. The detection limits of this duplex qPCR assay were 51.7 copies/μL for PCV3 and 67.7 copies/μL for PCV4, and both of the intra-assay and inter-assay of the CV analysis of this assay were less than 2.0 %. Sixty-four clinical samples from 22 different swine farms were screened by the duplex qPCR assay. The results showed that the positive detection rate of PCV3 was 37.5 % (24/64) and PCV4 was 34.38 % (22/64), and PCV3 and PCV4 co-infection rate was 17.19 % (11/64). The detection rate of the duplex qPCR assay was higher than that of the conventional PCR assay. The duplex qPCR was of high sensitivity and specificity, being able to provide technical support for clinical detection, differential diagnosis and control of PCV3 and PCV4.
- Subjects :
- Circovirus
Swine Diseases
0301 basic medicine
Detection limit
China
biology
Swine
030106 microbiology
Pcr assay
Reproducibility of Results
Real-Time Polymerase Chain Reaction
biology.organism_classification
Molecular biology
03 medical and health sciences
Porcine circovirus
030104 developmental biology
Real-time polymerase chain reaction
Duplex (building)
Virology
Animals
Circoviridae Infections
Detection rate
Phylogeny
Subjects
Details
- ISSN :
- 01660934
- Volume :
- 293
- Database :
- OpenAIRE
- Journal :
- Journal of Virological Methods
- Accession number :
- edsair.doi.dedup.....9eaf4c968515113117c8e9eb7320fa18
- Full Text :
- https://doi.org/10.1016/j.jviromet.2021.114152