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On-Site and Visual Detection of the H5 Subtype Avian Influenza Virus Based on RT-RPA and CRISPR/Cas12a.
- Source :
-
Viruses [Viruses] 2024 May 10; Vol. 16 (5). Date of Electronic Publication: 2024 May 10. - Publication Year :
- 2024
-
Abstract
- Avian influenza viruses (AIVs) of the H5 subtype rank among the most serious pathogens, leading to significant economic losses in the global poultry industry and posing risks to human health. Therefore, rapid and accurate virus detection is crucial for the prevention and control of H5 AIVs. In this study, we established a novel detection method for H5 viruses by utilizing the precision of CRISPR/Cas12a and the efficiency of RT-RPA technologies. This assay facilitates the direct visualization of detection results through blue light and lateral flow strips, accurately identifying H5 viruses with high specificity and without cross-reactivity against other AIV subtypes, NDV, IBV, and IBDV. With detection thresholds of 1.9 copies/μL (blue light) and 1.9 × 10 <superscript>3</superscript> copies/μL (lateral flow strips), our method not only competes with but also slightly surpasses RT-qPCR, demonstrating an 80.70% positive detection rate across 81 clinical samples. The RT-RPA/CRISPR-based detection method is characterized by high sensitivity, specificity, and independence from specialized equipment. The immediate field applicability of the RT-RPA/CRISPR approach underscores its importance as an effective tool for the early detection and management of outbreaks caused by the H5 subtype of AIVs.
- Subjects :
- Animals
Influenza A Virus, H5N1 Subtype genetics
Influenza A Virus, H5N1 Subtype isolation & purification
Influenza A Virus, H5N1 Subtype classification
Influenza A virus genetics
Influenza A virus isolation & purification
Influenza A virus classification
Poultry virology
Poultry Diseases virology
Poultry Diseases diagnosis
Chickens virology
Birds virology
Influenza in Birds virology
Influenza in Birds diagnosis
CRISPR-Cas Systems
Sensitivity and Specificity
Subjects
Details
- Language :
- English
- ISSN :
- 1999-4915
- Volume :
- 16
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Viruses
- Publication Type :
- Academic Journal
- Accession number :
- 38793634
- Full Text :
- https://doi.org/10.3390/v16050753