Rapid and Sensitive Detection of Verticillium dahliae from Complex Samples Using CRISPR/Cas12a Technology Combined with RPA

被引:8
|
作者
Wang, Qiang [1 ]
Qin, Ming [1 ]
Coleman, Jeffrey J. [2 ]
Shang, Wenjing [1 ]
Hu, Xiaoping [1 ]
机构
[1] Northwest A&F Univ, Coll Plant Protect, State Key Lab Crop Stress Biol Arid Areas, Yangling, Shaanxi, Peoples R China
[2] Auburn Univ, Dept Entomol & Plant Pathol, Auburn, AL USA
关键词
CRISPR; Cas12a technology; field crops; fungi; pathogen detection; WILT; ASSAY;
D O I
10.1094/PDIS-08-22-1790-SC
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Verticillium wilt is primarily caused by the fungus Verticillium dahliae and represents one of the most important worldwide soilborne plant diseases. The causal agent can be spread by microsclerotia and conidia attached to seeds during national/international trade or in soil between fields. Consequently, accurate, sensitive, and rapid detection of V. dahliae from complex samples is critical for restricting entry of the pathogen to a new region/environment and enforcing early management of Verticillium wilt. Based on CRISPR/Cas12a and recombinant polymerase amplification (RPA) technologies, we developed an accurate, sensitive, and rapid detection method for V. dahliae with paper-based lateral flow strips. A highly efficient and specific CRISPR RNA (crRNA) was designed for the GAPDH gene of V. dahliae and was validated using several closely related Verticillium spp. Excluding the time required for the DNA extraction from the complex samples, a minimum of 40 min was required for the detection time. The RPA-CRISPR/Cas12a detection system had a lower detection limit of similar to 10 copies of genomic DNA per reaction and was able to successfully detect as little as one microsclerotium per gram of soil. In addition, field samples displaying symptoms suggestive of V. dahliae were able to be positively identified for the presence of V. dahliae. Taken together, this study broadens the applications of CRISPR/Cas12a nucleic acid detection to soilborne crop diseases and will contribute to the future development of field-deployable diagnostic tools.
引用
收藏
页码:1664 / 1669
页数:6
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