Establishment of a Rapid and Efficient Method for the Detection of Avian Reovirus Based on RT-RAA-CRISPR/Cas12a Technology
Avian reovirus (ARV), a highly pathogenic agent in poultry, causes severe economic losses through immunosuppression and secondary infections. Traditional diagnostic methods like reverse transcription quantitative PCR (RT-qPCR) and enzyme-linked immunosorbent assay (ELISA) face limitations in resource-limited settings due to equipment dependency and prolonged processing. To address this, we developed a rapid, portable detection method integrating reverse transcription-recombinase-aided amplification (RT-RAA) with CRISPR/Cas12a. By targeting the conserved P17-coding region of the ARV S1 gene, this assay amplifies viral RNA isothermally (37 °C) within 20 min, followed by Cas12a-mediated collateral cleavage of fluorescent or lateral flow reporters for visual readout. The method achieved a sensitivity of 1 copy/μL, surpassing RT-qPCR (10 copies/μL), and completed detection in 40 min. Specificity tests against non-target pathogens confirmed zero cross-reactivity. Utilizing a portable incubator and low-cost visual tools, this platform eliminates reliance on thermocyclers and skilled personnel. Its field-deployable design enables on-site diagnosis, facilitating early ARV detection to mitigate outbreaks and economic losses in poultry farming. This study provides a paradigm shift in avian pathogen surveillance, combining speed, sensitivity, and accessibility for global agricultural and public health applications.
Authors
- Han Chen (ORCID: https://orcid.org/0000-0003-1396-4514)
- Jianzhu Liu (ORCID: https://orcid.org/0000-0003-3634-0712)
- Qi Zheng (ORCID: https://orcid.org/0000-0002-2582-1222)
- Michael Li (ORCID: https://orcid.org/0009-0006-2998-4201)
- Haoyi Zhang (ORCID: https://orcid.org/0009-0004-2980-2311)
- Zhiyuan Lu (ORCID: https://orcid.org/0000-0001-6840-7227)
- Ziqiang Cheng
Institutions
- Shandong Agricultural University (CN)
Publication Details
- Journal
- Animals
- Published
- 2025-10-16
- DOI
- https://doi.org/10.3390/ani15202994
- Primary Topic
- CRISPR and Genetic Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00