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用于检测和定量梨火疫病菌的液滴数字PCR方法的开发。

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

作者信息

He Lin, Kim Seong Hwan, Yu Jun Myoung

机构信息

Department of Applied Biology, Chungnam National University, Daejeon 34134, Korea.

Department of Microbiology, Dankook University, Cheonan 31116, Korea.

出版信息

Plant Pathol J. 2023 Feb;39(1):141-148. doi: 10.5423/PPJ.NT.08.2022.0117. Epub 2023 Feb 1.

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.

摘要

由梨火疫病菌引起的黑枝枯病对韩国梨生产的质量和产量造成严重影响;因此,需要快速准确的检测方法。然而,传统检测方法耗时较长且无法实现绝对定量。在本研究中,我们开发了一种液滴数字聚合酶链反应(ddPCR)方法,使用一对物种特异性引物对梨火疫病菌进行检测和绝对定量。检测范围为10³ - 10⁷拷贝/毫升(DNA模板)和菌落形成单位/毫升(细胞培养模板)。这种新方法具有良好的线性和重复性,并通过对人工接种未成熟梨果实样本中的梨火疫病菌DNA拷贝进行绝对定量得到验证。在此,我们首次对用于检测和定量梨火疫病菌的ddPCR分析进行了研究。该方法在流行病学以及黑枝枯病爆发的早期预测方面具有潜在应用价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b304/9929165/3074712f087c/ppj-nt-08-2022-0117f1.jpg

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