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CRISPR/Cas12a-based approaches for efficient and accurate detection of Phytophthora ramorum

INTRODUCTION: Phytophthora ramorum is a quarantine pathogen that causes leaf blight and shoot dieback of the crown, bark cankers and death on a number of both ornamental and forest trees, especially in North America and northern Europe, where it has produced severe outbreaks. Symptoms caused by P. r...

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Autores principales: Guo, Yufang, Xia, Hongming, Dai, Tingting, Liu, Tingli, Shamoun, Simon Francis, CuiPing, Wu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333691/
https://www.ncbi.nlm.nih.gov/pubmed/37441240
http://dx.doi.org/10.3389/fcimb.2023.1218105
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author Guo, Yufang
Xia, Hongming
Dai, Tingting
Liu, Tingli
Shamoun, Simon Francis
CuiPing, Wu
author_facet Guo, Yufang
Xia, Hongming
Dai, Tingting
Liu, Tingli
Shamoun, Simon Francis
CuiPing, Wu
author_sort Guo, Yufang
collection PubMed
description INTRODUCTION: Phytophthora ramorum is a quarantine pathogen that causes leaf blight and shoot dieback of the crown, bark cankers and death on a number of both ornamental and forest trees, especially in North America and northern Europe, where it has produced severe outbreaks. Symptoms caused by P. ramorum can be confused with those by other Phytophthora and fungal species. Early and accurate detection of the causal pathogen P. ramorum is crucial for effective prevention and control of Sudden Oak Death. METHODS: In this study, we developed a P. ramorum detection technique based on a combination of recombinase polymerase amplification (RPA) with CRISPR/Cas12a technology (termed RPACRISPR/ Cas12a). RESULTS: This novel method can be utilized for the molecular identification of P. ramorum under UV light and readout coming from fluorophores, and can specifically detect P. ramorum at DNA concentrations as low as 100 pg within 25 min at 37°C. DISCUSSION: We have developed a simple, rapid, sensitive, unaided-eye visualization, RPA CRISPR/Cas12a-based detection system for the molecular identification of P. ramorum that does not require technical expertise or expensive ancillary equipment. And this system is sensitive for both standard laboratory samples and samples from the field.
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spelling pubmed-103336912023-07-12 CRISPR/Cas12a-based approaches for efficient and accurate detection of Phytophthora ramorum Guo, Yufang Xia, Hongming Dai, Tingting Liu, Tingli Shamoun, Simon Francis CuiPing, Wu Front Cell Infect Microbiol Cellular and Infection Microbiology INTRODUCTION: Phytophthora ramorum is a quarantine pathogen that causes leaf blight and shoot dieback of the crown, bark cankers and death on a number of both ornamental and forest trees, especially in North America and northern Europe, where it has produced severe outbreaks. Symptoms caused by P. ramorum can be confused with those by other Phytophthora and fungal species. Early and accurate detection of the causal pathogen P. ramorum is crucial for effective prevention and control of Sudden Oak Death. METHODS: In this study, we developed a P. ramorum detection technique based on a combination of recombinase polymerase amplification (RPA) with CRISPR/Cas12a technology (termed RPACRISPR/ Cas12a). RESULTS: This novel method can be utilized for the molecular identification of P. ramorum under UV light and readout coming from fluorophores, and can specifically detect P. ramorum at DNA concentrations as low as 100 pg within 25 min at 37°C. DISCUSSION: We have developed a simple, rapid, sensitive, unaided-eye visualization, RPA CRISPR/Cas12a-based detection system for the molecular identification of P. ramorum that does not require technical expertise or expensive ancillary equipment. And this system is sensitive for both standard laboratory samples and samples from the field. Frontiers Media S.A. 2023-06-27 /pmc/articles/PMC10333691/ /pubmed/37441240 http://dx.doi.org/10.3389/fcimb.2023.1218105 Text en Copyright © 2023 Guo, Xia, Dai, Liu, Shamoun and CuiPing https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular and Infection Microbiology
Guo, Yufang
Xia, Hongming
Dai, Tingting
Liu, Tingli
Shamoun, Simon Francis
CuiPing, Wu
CRISPR/Cas12a-based approaches for efficient and accurate detection of Phytophthora ramorum
title CRISPR/Cas12a-based approaches for efficient and accurate detection of Phytophthora ramorum
title_full CRISPR/Cas12a-based approaches for efficient and accurate detection of Phytophthora ramorum
title_fullStr CRISPR/Cas12a-based approaches for efficient and accurate detection of Phytophthora ramorum
title_full_unstemmed CRISPR/Cas12a-based approaches for efficient and accurate detection of Phytophthora ramorum
title_short CRISPR/Cas12a-based approaches for efficient and accurate detection of Phytophthora ramorum
title_sort crispr/cas12a-based approaches for efficient and accurate detection of phytophthora ramorum
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333691/
https://www.ncbi.nlm.nih.gov/pubmed/37441240
http://dx.doi.org/10.3389/fcimb.2023.1218105
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