Article ; Online: Establishment and Application of a Triplex Real-Time RT-PCR Assay for Differentiation of PEDV, PoRV, and PDCoV.
2023 Volume 15, Issue 6
Abstract: Porcine viral diarrhea is very common in clinical practice and has caused huge losses to the pig industry. Porcine epidemic diarrhea virus (PEDV), porcine rotavirus (PoRV), and porcine deltacoronavirus (PDCoV) are important pathogens of porcine viral ... ...
Abstract | Porcine viral diarrhea is very common in clinical practice and has caused huge losses to the pig industry. Porcine epidemic diarrhea virus (PEDV), porcine rotavirus (PoRV), and porcine deltacoronavirus (PDCoV) are important pathogens of porcine viral diarrhea. Co-infection situations among these three viruses in clinics are common, which increases the difficulty of differential diagnosis. Currently, polymerase chain reaction (PCR) is commonly used to detect pathogens. TaqMan real-time PCR is more sensitive than conventional PCR and has better specificity and accuracy. In this study, a triplex real-time RT-PCR assay based on TaqMan probes was developed for differential detection of PEDV, PoRV, and PDCoV. The triplex real-time RT-PCR assay developed in this study could not detect unrelated pathogens and showed satisfactory specificity, sensitivity, repeatability, and reproducibility with a limit of detection (LOD) of 6.0 × 10 |
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MeSH term(s) | Animals ; Swine ; Porcine epidemic diarrhea virus/genetics ; Real-Time Polymerase Chain Reaction/veterinary ; Real-Time Polymerase Chain Reaction/methods ; Coronavirus Infections/diagnosis ; Coronavirus Infections/veterinary ; Coronavirus Infections/epidemiology ; Reverse Transcriptase Polymerase Chain Reaction ; Coinfection/diagnosis ; Coinfection/veterinary ; Reproducibility of Results ; Swine Diseases ; Diarrhea/diagnosis ; Diarrhea/veterinary ; Sensitivity and Specificity |
Language | English |
Publishing date | 2023-05-25 |
Publishing country | Switzerland |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2516098-9 |
ISSN | 1999-4915 ; 1999-4915 |
ISSN (online) | 1999-4915 |
ISSN | 1999-4915 |
DOI | 10.3390/v15061238 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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