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DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
Published on: May 10, 2024
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Development of a rapid visual detection technology for BmNPV based on CRISPR/Cas13a system
Xue-Min Zhou1, Zhen-Yu Shen1, Yi-Xiang Wu1
1School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China.
Journal of Invertebrate Pathology
|February 10, 2024
Summary
A new CRISPR/Cas13a detection method offers a sensitive and specific way to identify Bombyx mori nucleopolyhedrovirus (BmNPV) in silkworms. This cost-effective technology aids in disease management for the sericulture industry.
Area of Science:
- Molecular biology
- Virology
- Agricultural science
Background:
- Bombyx mori nucleopolyhedrovirus (BmNPV) causes significant losses in the sericulture industry due to frequent outbreaks and high mortality.
- Current detection methods for BmNPV lack sensitivity, specificity, and accessibility for on-site applications.
- There is a critical need for a rapid, accurate, and field-deployable diagnostic tool for BmNPV.
Purpose of the Study:
- To develop a novel, highly sensitive, and specific visualized detection technology for BmNPV.
- To create a cost-effective and user-friendly diagnostic tool applicable in various sericulture settings.
- To address the limitations of existing BmNPV detection methods.
Main Methods:
- Integration of Recombinase Polymerase Amplification (RPA) with the CRISPR/Cas13a system.
- Development of a detection platform utilizing microplate lateral flow test strips and a portable fluorescence detector.
- Validation using positive standard plasmids and infected silkworm tissue samples.
Main Results:
- The established CRISPR/Cas13a BmNPV detection technology achieved a sensitivity of 1 copy/μL for plasmids and 1 fg/μL for the BmNPV genome.
- Detection was completed within a rapid timeframe of 30-45 minutes.
- The technology demonstrated high specificity when tested against various pathogens in silkworm tissues.
Conclusions:
- The developed visualized nucleic acid detection technology for BmNPV is highly sensitive, specific, cost-effective, and convenient.
- This method is suitable for field detection and integration into silkworm egg quality monitoring systems.
- The technology provides a valuable tool for managing BmNPV in sericulture, improving disease control and reducing economic losses.

