4.6 Article

Establishment and Application of CRISPR-Cas12a-Based Recombinase Polymerase Amplification and a Lateral Flow Dipstick and Fluorescence for the Detection and Distinction of Deformed Wing Virus Types A and B

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VIRUSES-BASEL
卷 15, 期 10, 页码 -

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MDPI
DOI: 10.3390/v15102041

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deformed wing virus; recombinase polymerase amplification assay; CRISPR-Cas12a; lateral flow dipstick; detection

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In this study, a visual detection assay for DWV-A and DWV-B was established using RPA-CRISPR-Cas12a-LFD technology. The method showed high specificity and sensitivity, with results obtained in a short period of time. Validation with traditional methods demonstrated the accuracy of this detection assay for DWV infection.
Deformed wing virus (DWV) is one of the important pathogens of the honey bee (Apis mellifera), which consists of three master variants: types A, B, and C. Among them, DWV types A (DWV-A) and B (DWV-B) are the most prevalent variants in honey bee colonies and have been linked to colony decline. DWV-A and DWV-B have different virulence, but it is difficult to distinguish them via traditional methods. In this study, we established a visual detection assay for DWV-A and DWV-B using recombinase polymerase amplification (RPA) and a lateral flow dipstick (LFD) coupled with the clustered regularly interspaced short palindromic repeats (CRISPR)-CRISPR-associated protein (Cas) 12a fluorescence system (RPA-CRISPR-Cas12a-LFD). The limit of detection of this system was similar to 6.5 x 10(0) and 6.2 x 10(1) copies/mu L for DWV-A and DWV-B, respectively. The assays were specific and non-cross-reactive against other bee viruses, and the results could be visualized within 1 h. The assays were validated by extracting cDNA from 36 clinical samples of bees that were suspected to be infected with DWV. The findings were consistent with those of traditional reverse transcription-quantitative polymerase chain reaction, and the RPA-CRISPR-Cas12a assay showed the specific, sensitive, simple, and appropriate detection of DWV-A and DWV-B. This method can facilitate the visual and qualitative detection of DWV-A and DWV-B as well as the monitoring of different subtypes, thereby providing potentially better control and preventing current and future DWV outbreaks.

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