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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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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. |
format | Online Article Text |
id | pubmed-10333691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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
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title_full | CRISPR/Cas12a-based approaches for efficient and accurate detection of Phytophthora ramorum
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title_fullStr | CRISPR/Cas12a-based approaches for efficient and accurate detection of Phytophthora ramorum
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title_full_unstemmed | CRISPR/Cas12a-based approaches for efficient and accurate detection of Phytophthora ramorum
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title_short | CRISPR/Cas12a-based approaches for efficient and accurate detection of Phytophthora ramorum
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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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