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A Portable One-Tube Assay Integrating RT-RPA and CRISPR/Cas12a for Rapid Visual Detection of Eurasian Avian-like H1N1 Swine Influenza Virus in the Field

作者: Changhai Tian, Lulu Feng, Xu Zhou, Kailun Huang, Feifei Wang, Ru Luo, Fei Meng, Huanliang Yang, Chuanling Qiao, Xiurong Wang, Jianzhong Shi, Yan Chen
刊物名称: Viruses
DOI: 10.3390/v18010047
发布时间: 2026-01-30
摘要:

The widespread circulation of Eurasian avian-like H1N1 (EA H1N1) swine influenza virus poses significant zoonotic and pandemic risks worldwide. However, current diagnostic methods are difficult to deploy in the field, as they generally require specialized laboratory infrastructure and trained personnel. Here, we present a novel dual-signal detection platform that combines reverse transcription recombinase polymerase amplification (RT-RPA) with CRISPR/Cas12a technology for rapid, on-site EA H1N1 detection. We established an integrated one-tube assay by designing and optimizing RT-RPA primers targeting a conserved region of the hemagglutinin (HA) gene, together with engineered CRISPR/Cas12a guide RNAs exhibiting high specificity. The platform incorporates two complementary readout modes: real-time fluorescence monitoring and visual colorimetric detection using a smartphone. The assay shows excellent analytical specificity, with no cross-reactivity observed against other swine influenza virus subtypes or common swine pathogens, (including CSFV, PRRSV, PEDV, PCV, TGEV, and RV). The detection limit is 2 copies/μL, and the entire procedure can be completed within 30 mins using simple portable equipment. When evaluated on 86 clinical samples, the assay demonstrated 94.18% concordance with RT-qPCR. Compared with conventional diagnostic methods, this RT-RPA-CRISPR/Cas12a assay offers greater convenience and cost-effectiveness. Its strong potential for field-based rapid testing underscores promising application prospects in swine influenza surveillance and control programs.

Keywords: CRISPR; Cas12a; Eurasian Avian-like H1N1 swine influenza virus; RT-RPA; visual detection.



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