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Field-Deployable Candidatus Liberibacter asiaticus Detection Using Recombinase Polymerase Amplification Combined with CRISPR-Cas12a
Published on: December 23, 2022
Two CRISPR/Cas12a-based methods for fast and accurate detection of single-base mutations
Chao Ling1, Yanbin Chang1, Xingyue Wang1
1Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Two novel CRISPR/Cas12a methods rapidly and accurately detect single-base mutations. These approaches offer distinct advantages for diverse laboratory settings, improving mutation detection speed and precision.
Area of Science:
- Molecular Biology
- Biotechnology
- Genetics
Background:
- Current single-base mutation detection methods are inefficient, requiring significant time, labor, and cost.
- There is a critical need for rapid, accurate, and cost-effective technologies for detecting single-base alterations.
Purpose of the Study:
- To develop and validate two distinct CRISPR/Cas12a-based approaches for highly specific single-base mutation detection.
- To achieve 100% differentiation between mutant and wild-type strains using fluorescence-based detection.
Main Methods:
- Method 1: Combined Polymerase Chain Reaction (PCR) and CRISPR/Cas12a cleavage, utilizing 3' end primer mismatches to block wild-type amplification.
- Method 2: Isothermal Recombinase Polymerase Amplification (RPA) coupled with CRISPR/Cas12a, employing an introduced mismatched allele-specific (IMAS-RPA) strategy to prevent wild-type product cleavage.
Main Results:
- Method 1 demonstrated high sensitivity (one copy, approx. 6 copies/μL) with easily adjustable parameters.
- Method 2 provided a rapid (within 1 hour) and user-friendly alternative for mutation detection.
- Both methods successfully differentiated single-base mutations from wild-type strains via fluorescence signals.
Conclusions:
- Two distinct, highly specific, and efficient CRISPR/Cas12a-based methods for single-base mutation detection have been established.
- These methods offer flexibility, allowing selection based on laboratory environment and specific needs.
- The developed approaches hold promise for future applications in clinical diagnostics.
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