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A Rapid Recombinase Polymerase Amplification-CRISPR/Cas12a Assay for Detecting Grapevine Black-Foot Pathogens
Wenwen Liang1,2, Baoyu Wang2, Junbo Peng2
1College of Plant Protection, Hebei Agricultural University, 2596 Lekai South Street, Lianchi District, Baoding 071000, China.
A new assay combines recombinase polymerase amplification (RPA) and CRISPR-Cas12a for rapid detection of grapevine black-foot disease pathogens. This method offers sensitive, visual results in under an hour, simplifying field diagnosis.
Area of Science:
- Plant Pathology
- Molecular Biology
- Biotechnology
Background:
- Grapevine black-foot disease poses a significant threat to vineyards.
- Complex and latent infections make early field diagnosis difficult.
- Existing diagnostic methods can be time-consuming and require specialized equipment.
Purpose of the Study:
- To develop a rapid, sensitive, and field-deployable nucleic acid assay for grapevine black-foot disease pathogens.
- To detect key genera, Ilyonectria and Dactylonectria, associated with the disease.
- To simplify the diagnostic workflow, reducing reliance on complex instrumentation.
Main Methods:
- Developed a nucleic acid assay integrating recombinase polymerase amplification (RPA) and CRISPR-Cas12a technology.
- Designed specific RPA primers and CRISPR RNAs targeting conserved histone H3 and β-tubulin genes.
- Integrated RPA with Cas12a-mediated recognition and lateral flow assay (LFA) for visual readout.
Main Results:
- The assay detected Ilyonectria DNA at concentrations as low as 3.6 ng/μL within 1 hour at 39 °C.
- The detection limit for Dactylonectria reached 80 fg/μL within 50 minutes at 41 °C.
- Lateral flow assay strips provided clear positive/negative results within minutes, demonstrating high specificity.
Conclusions:
- The developed RPA-CRISPR/Cas12a-LFA system enables rapid, visual, and sensitive detection of grapevine black-foot disease pathogens.
- This assay significantly reduces the need for specialized laboratory equipment, facilitating field application.
- The system offers a promising tool for timely diagnosis and management of grapevine trunk diseases.
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