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Development of the Droplet Digital PCR Method for the Detection and Quantification of Erwinia pyrifoliae
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 quantific...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Plant Pathology
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929165/ https://www.ncbi.nlm.nih.gov/pubmed/36760056 http://dx.doi.org/10.5423/PPJ.NT.08.2022.0117 |
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author | He, Lin Kim, Seong Hwan Yu, Jun Myoung |
author_facet | He, Lin Kim, Seong Hwan Yu, Jun Myoung |
author_sort | He, Lin |
collection | PubMed |
description | 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 10(3)–10(7) 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. |
format | Online Article Text |
id | pubmed-9929165 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Korean Society of Plant Pathology |
record_format | MEDLINE/PubMed |
spelling | pubmed-99291652023-02-16 Development of the Droplet Digital PCR Method for the Detection and Quantification of Erwinia pyrifoliae He, Lin Kim, Seong Hwan Yu, Jun Myoung Plant Pathol J Note 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 10(3)–10(7) 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. Korean Society of Plant Pathology 2023-02 2023-02-01 /pmc/articles/PMC9929165/ /pubmed/36760056 http://dx.doi.org/10.5423/PPJ.NT.08.2022.0117 Text en © The Korean Society of Plant Pathology https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Note He, Lin Kim, Seong Hwan Yu, Jun Myoung Development of the Droplet Digital PCR Method for the Detection and Quantification of Erwinia pyrifoliae |
title | Development of the Droplet Digital PCR Method for the Detection and Quantification of Erwinia pyrifoliae |
title_full | Development of the Droplet Digital PCR Method for the Detection and Quantification of Erwinia pyrifoliae |
title_fullStr | Development of the Droplet Digital PCR Method for the Detection and Quantification of Erwinia pyrifoliae |
title_full_unstemmed | Development of the Droplet Digital PCR Method for the Detection and Quantification of Erwinia pyrifoliae |
title_short | Development of the Droplet Digital PCR Method for the Detection and Quantification of Erwinia pyrifoliae |
title_sort | development of the droplet digital pcr method for the detection and quantification of erwinia pyrifoliae |
topic | Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929165/ https://www.ncbi.nlm.nih.gov/pubmed/36760056 http://dx.doi.org/10.5423/PPJ.NT.08.2022.0117 |
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