Literature DB >> 34102255

Development of a reverse transcription droplet digital PCR assay for sensitive detection of peach latent mosaic viroid.

Hyo-Jeong Lee1, In-Sook Cho2, Ho-Jong Ju3, Rae-Dong Jeong4.   

Abstract

Peach latent mosaic viroid (PLMVd) represents a continuing threat to peach tree production worldwide. In this study, a sensitive and accurate quantification of PLMVd in peach leaves was established using a reverse transcription droplet digital polymerase chain reaction (RT-ddPCR) assay. The quantitative linearity, accuracy, and sensitivity of RT-ddPCR for the detection of PLMVd were comparatively assessed to those of reverse-transcription real-time quantitative polymerase chain reaction (RT-qPCR) assay. The specificity assay shows no amplification in major peach viruses, apple chlorotic leaf spot virus and prunus necrotic ring spot virus and negative control. Furthermore, the levels of PLMVd transcripts determined using RT-ddPCR and RT-qPCR showed a high degree of linearity and quantitative correlation. Our results also indicated that the RT-ddPCR assay is at least two-fold more sensitive than qPCR and could therefore, be used to detect PLMVd in field samples. Moreover, optimization of RT-ddPCR was found to enhance the sensitivity of PLMVd detection in the peach leaf samples with low viral loads. In summary, the established RT-ddPCR assay represents a promising alternative method for the precise quantitative detection of PLMVd; it would be particularly applicable for diagnosing PLMVd infections in plant quarantine inspection and PLMVd-free certification program.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Detection; Peach latent mosaic viroid; Reverse transcription droplet digital PCR; Reverse transcription quantitative polymerase chain amplification

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Year:  2021        PMID: 34102255     DOI: 10.1016/j.mcp.2021.101746

Source DB:  PubMed          Journal:  Mol Cell Probes        ISSN: 0890-8508            Impact factor:   2.365


  1 in total

1.  Detection and Quantification of Apple Stem Grooving Virus in Micropropagated Apple Plantlets Using Reverse-Transcription Droplet Digital PCR.

Authors:  Sung-Woong Kim; Hyo-Jeong Lee; Kang Hee Cho; Rae-Dong Jeong
Journal:  Plant Pathol J       Date:  2022-08-01       Impact factor: 2.321

  1 in total

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