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Development qRT-PCR Protocol to Predict Strawberry Fusarium Wilt Occurrence

Strawberry Fusarium wilt disease, caused by Fusarium oxysporum f. sp. fragariae, is the most devastating disease in strawberry production. The pathogen produces chlamydospores which tolerate against harsh environment, fungicide and survive for decades in soil. Development of detection and quantifica...

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Autores principales: Hong, Sung Won, Kim, Da-Ran, Kim, Ji Su, Cho, Gyeongjun, Jeon, Chang Wook, Kwak, Youn-Sig
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Plant Pathology 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5985642/
https://www.ncbi.nlm.nih.gov/pubmed/29887772
http://dx.doi.org/10.5423/PPJ.OA.12.2017.0265
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author Hong, Sung Won
Kim, Da-Ran
Kim, Ji Su
Cho, Gyeongjun
Jeon, Chang Wook
Kwak, Youn-Sig
author_facet Hong, Sung Won
Kim, Da-Ran
Kim, Ji Su
Cho, Gyeongjun
Jeon, Chang Wook
Kwak, Youn-Sig
author_sort Hong, Sung Won
collection PubMed
description Strawberry Fusarium wilt disease, caused by Fusarium oxysporum f. sp. fragariae, is the most devastating disease in strawberry production. The pathogen produces chlamydospores which tolerate against harsh environment, fungicide and survive for decades in soil. Development of detection and quantification techniques are regarded significantly in many soilborne pathogens to prevent damage from diseases. In this study, we improved specific-quantitative primers for F. oxysporum f. sp. fragariae to reveal correlation between the pathogen density and the disease severity. Standard curve r(2) value of the specific-quantitative primers for qRT-PCR and meting curve were over 0.99 and 80.5°C, respectively. Over pathogen 10(5) cfu/g of soil was required to cause the disease in both lab and field conditions. With the minimum density to develop the wilt disease, the pathogen affected near 60% in nursery plantation. A biological control microbe agent and soil solarization reduced the pathogen population 2-fold and 1.5-fold in soil, respectively. The developed F. oxysporum f. sp. fragariae specific qRT-PCR protocol may contribute to evaluating soil healthiness and appropriate decision making to control the disease.
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spelling pubmed-59856422018-06-08 Development qRT-PCR Protocol to Predict Strawberry Fusarium Wilt Occurrence Hong, Sung Won Kim, Da-Ran Kim, Ji Su Cho, Gyeongjun Jeon, Chang Wook Kwak, Youn-Sig Plant Pathol J Research Article Strawberry Fusarium wilt disease, caused by Fusarium oxysporum f. sp. fragariae, is the most devastating disease in strawberry production. The pathogen produces chlamydospores which tolerate against harsh environment, fungicide and survive for decades in soil. Development of detection and quantification techniques are regarded significantly in many soilborne pathogens to prevent damage from diseases. In this study, we improved specific-quantitative primers for F. oxysporum f. sp. fragariae to reveal correlation between the pathogen density and the disease severity. Standard curve r(2) value of the specific-quantitative primers for qRT-PCR and meting curve were over 0.99 and 80.5°C, respectively. Over pathogen 10(5) cfu/g of soil was required to cause the disease in both lab and field conditions. With the minimum density to develop the wilt disease, the pathogen affected near 60% in nursery plantation. A biological control microbe agent and soil solarization reduced the pathogen population 2-fold and 1.5-fold in soil, respectively. The developed F. oxysporum f. sp. fragariae specific qRT-PCR protocol may contribute to evaluating soil healthiness and appropriate decision making to control the disease. Korean Society of Plant Pathology 2018-06 2018-06-01 /pmc/articles/PMC5985642/ /pubmed/29887772 http://dx.doi.org/10.5423/PPJ.OA.12.2017.0265 Text en © The Korean Society of Plant Pathology 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) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hong, Sung Won
Kim, Da-Ran
Kim, Ji Su
Cho, Gyeongjun
Jeon, Chang Wook
Kwak, Youn-Sig
Development qRT-PCR Protocol to Predict Strawberry Fusarium Wilt Occurrence
title Development qRT-PCR Protocol to Predict Strawberry Fusarium Wilt Occurrence
title_full Development qRT-PCR Protocol to Predict Strawberry Fusarium Wilt Occurrence
title_fullStr Development qRT-PCR Protocol to Predict Strawberry Fusarium Wilt Occurrence
title_full_unstemmed Development qRT-PCR Protocol to Predict Strawberry Fusarium Wilt Occurrence
title_short Development qRT-PCR Protocol to Predict Strawberry Fusarium Wilt Occurrence
title_sort development qrt-pcr protocol to predict strawberry fusarium wilt occurrence
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5985642/
https://www.ncbi.nlm.nih.gov/pubmed/29887772
http://dx.doi.org/10.5423/PPJ.OA.12.2017.0265
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