CRISPR‐based platforms for the specific and dual detection of defoliating/nondefoliating strains of Verticillium dahliae

Author:

Chen Qi1,Wu Jin1,Tang Chen1,Wang Yonglin1ORCID

Affiliation:

1. State Key Laboratory of Efficient Production of Forest Resources, Beijing Key Laboratory for Forest Pest Control, College of Forestry Beijing Forestry University Beijing China

Abstract

AbstractBACKGROUNDVerticillium dahliae is a soil‐borne pathogenic fungus that causes Verticillium wilt disease on more than 400 plant species worldwide. Because of its broad host range and its ability to survive long term in the soil, there are few effective control measures for V. dahliae once it has become established. Accurate, sensitive, and rapid detection of V. dahliae is crucial for limiting pathogen entry into new regional environments and early management of Verticillium wilt.RESULTSIn this study, we developed a method to detect V. dahliae based on recombinase polymerase amplification (RPA) and CRISPR/Cas technology and used fluorescence and lateral flow test strips to monitor the outcomes. Through the establishment and optimization of RPA–CRISPR/Cas13a detection, the sensitivity of the fluorescence method was 1 am for genomic DNA (gDNA) within 20 min, whereas the sensitivity of the lateral flow strip method was 100 am for gDNA in 30 min. The field applicability of RPA–CRISPR/Cas13a was also validated by the detection of V. dahliae on smoke trees (Cotinus coggygria) in Xiangshan Park, Beijing, China. Finally, diplex detection for defoliating and nondefoliating pathotypes of V. dahliae was established by combining CRISPR–Cas12a/Cas13a with specific target genes.CONCLUSIONTaken together, this study achieved rapid, sensitive, and accurate detection of V. dahliae and the differentiation of defoliating and nondefoliating pathotypes and provides potential for field‐deployable diagnostic tools for rapid and ultrasensitive detection. © 2023 Society of Chemical Industry.

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Wiley

Subject

Insect Science,Agronomy and Crop Science,General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3