Development of the Droplet Digital PCR Method for the Detection and Quantification of Erwinia pyrifoliae

Author:

He Lin,Kim Seong HwanORCID,Yu Jun MyoungORCID

Abstract

Black shoot blight disease caused by <i>Erwinia pyrifoliae</i> 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 <i>E. pyrifoliae</i> using a pair of species-specific primers. The detection range was 10<sup>3</sup> - 10<sup>7</sup> 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 <i>E. pyrifoliae</i> 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 <i>E. pyrifoliae</i>. This method has potential applications in epidemiology and for the early prediction of black shoot blight outbreaks.

Funder

Ministry of Agriculture, Food and Rural Affairs

Publisher

Korean Society of Plant Pathology

Subject

Agronomy and Crop Science

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