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Development of a Rapid Visual Detection Method for Walnut Anthracnose Based on RPA-LFD
Yue Liu1, Weishan Zhang1, Jing Cao2
1State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing 100083, China.
A new recombinase polymerase amplification combined with a lateral flow dipstick (RPA-LFD) assay rapidly detects multiple Colletotrichum species causing walnut anthracnose. This broad-spectrum method overcomes limitations of single-pathogen assays, improving disease management.
Area of Science:
- Plant Pathology
- Molecular Diagnostics
- Mycology
Background:
- Walnut anthracnose, caused by Colletotrichum fungi, is difficult to detect accurately using current single-pathogen assays.
- Complex Colletotrichum populations in the field often lead to false negatives, hindering effective disease management.
Purpose of the Study:
- To develop a rapid, broad-spectrum detection method for Colletotrichum species responsible for walnut anthracnose.
- To overcome the limitations of existing assays in identifying diverse fungal populations.
Main Methods:
- Development of a recombinase polymerase amplification combined with a lateral flow dipstick (RPA-LFD) assay.
- Targeting the conserved internal transcribed spacer (ITS) region with specifically designed primers and probes.
- Systematic screening to select the optimal primer and probe set for specificity and sensitivity.
Main Results:
- The optimized RPA-LFD assay detected multiple Colletotrichum species within 10 minutes at 39°C.
- The assay demonstrated high specificity, with no cross-reactivity with other walnut-associated fungi.
- Sensitivity thresholds varied by species, detecting some at 10 pg/μL and others at 100 pg/μL.
Conclusions:
- The RPA-LFD system offers a simple, sensitive, and specific method for detecting Colletotrichum species.
- Visual result interpretation and rapid turnaround time make it suitable for field applications.
- This technology has significant potential for improving walnut anthracnose management strategies.
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