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Development of the Droplet Digital PCR Method for the Detection and Quantification of Erwinia pyrifoliae
Authors:Lin He  Seong Hwan Kim  Jun Myoung Yu
Affiliation:1.Department of Applied Biology, Chungnam National University, Daejeon 34134, Korea; 2.Department of Microbiology, Dankook University, Cheonan 31116, Korea
Abstract:Black shoot blight disease caused by Erwinia pyrifoliae has serious impacts on quality and yield in pear production in Korea; therefore, rapid and accurate methods for its detection are needed. However, traditional detection methods require a great deal of time and fail to achieve absolute quantification. In the present study, we developed a droplet digital polymerase chain reaction (ddPCR) method for the detection and absolute quantification of E. pyrifoliae using a pair of species-specific primers. The detection range was 103–107 copies/ml (DNA templates) and cfu/ml (cell culture templates). This new method exhibited good linearity and repeatability and was validated by absolute quantification of E. pyrifoliae DNA copies from samples of artificially inoculated immature pear fruits. Here, we present the first study of ddPCR assay for the detection and quantification of E. pyrifoliae. This method has potential applications in epidemiology and for the early prediction of black shoot blight outbreaks.
Keywords:black shoot blight   droplet digital polymerase chain reaction   Erwinia pyrifoliae
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