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Updated: Aug 15, 2025

Detection of Tilapia Lake Virus Using Conventional RT-PCR and SYBR Green RT-qPCR
Published on: November 10, 2018
Development and application of a sensitive droplet digital PCR-based method to detect tilapia parvovirus
Haikuo Zhao1,2, Yong Zhou2, Yuding Fan2
1College of Oceanography, Hainan University, Haikou, China.
Abstract:
Tilapia parvovirus (TiPV) causes severe mortality rates in cultured tilapia, resulting in substantial losses to the fish industry. Droplet digital PCR (ddPCR) is a sensitive, accurate, and absolute quantitation method, plus it does not require a standard curve. Herein we report the development and application of a sensitive ddPCR-based method to rapidly detect and quantify TiPV. Optimal annealing temperature was determined to be 59.3°C, and optimal primer and probe concentrations were 900 nmol/L and 250 nmol/L, respectively. Our ddPCR method was highly specific to TiPV and showed no cross-reactivity with other viruses. Further, the detection limit of ddPCR was 0.07 copies/μl, being lower than that of real-time PCR (qPCR, 4.63 copies/μl). We also investigated the ability of ddPCR to detect TiPV in 50 samples and compared the outcome with qPCR data in terms of sensitivity and accuracy. The results showed that the positive detection rate of ddPCR (32%) was higher than that of qPCR (18%). To conclude, our ddPCR method was effective at detecting TiPV in samples with low viral loads. We believe that its application can facilitate the surveillance of sources and transmission routes of TiPV.
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