Rapid Visual Detection of Senecavirus A Based on RPA-CRISPR/Cas12a System with Canonical or Suboptimal PAM

Senecavirus A (SVA) is an emerging pathogen responsible for vesicular lesions and neonatal mortality in swine. In the absence of effective vaccines or therapeutics, early and accurate diagnosis is essential for controlling SVA outbreaks. Although nucleic acid-based detection methods are commonly employed, there remains a pressing need for rapid, convenient, highly sensitive, and specific diagnostic tools. Here, we developed a two-pot assay combining recombinase polymerase amplification (RPA) with CRISPR/Cas12a containing crRNA targeting canonical protospacer adjacent motifs (PAMs) for simple, rapid, and visual identification of SVA in clinical samples. Subsequently, we successfully streamlined this system into a one-pot assay by selecting a specially designed crRNA targeting suboptimal PAM and integrating RPA amplification reagents and CRISPR/Cas12a detection components into a single reaction system in one tube. The developed methods exhibited diagnostic specificity, showing no cross-reactivity with four major swine viruses, while showing remarkable sensitivity with a lower detection limit of just two copies. Clinical validation in field samples using these two methods revealed perfect agreement (100% concordance) with conventional quantitative PCR (qPCR) results (sample size, <i>n</i> = 28), with both assays completing detection within 30 min. These results demonstrate that both the one-pot and two-pot RPA-CRISPR/Cas12a assays offer a reliable and efficient method for detecting SVA in this pilot study. Despite the limited sample size, the assays combine rapid reaction time with high sensitivity and specificity, showing great potential for future diagnostic applications.

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Publication Details

Journal
Viruses
Published
2025-09-18
DOI
https://doi.org/10.3390/v17091264
Citations
3
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
2.42
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article

Rapid Visual Detection of Senecavirus A Based on RPA-CRISPR/Cas12a System with Canonical or Suboptimal PAM

Qingguo Ruan, Dedong Wang, Yuanyuan Qu, Xiaoyu Yang et al.
3 citations
Viruses
CRISPR and Genetic Engineering
2.42
article

Rapid Visual Detection of Senecavirus A Based on RPA-CRISPR/Cas12a System with Canonical or Suboptimal PAM

Qingguo Ruan, Dedong Wang, Yuanyuan Qu, Xiaoyu Yang, Lei Hou, Jue Liu, Xinrui Zhao, Jianwei Zhou, Yongyan Shi, Genghong Jiang
article en
3 citations

Abstract

Senecavirus A (SVA) is an emerging pathogen responsible for vesicular lesions and neonatal mortality in swine. In the absence of effective vaccines or therapeutics, early and accurate diagnosis is essential for controlling SVA outbreaks. Although nucleic acid-based detection methods are commonly employed, there remains a pressing need for rapid, convenient, highly sensitive, and specific diagnostic tools. Here, we developed a two-pot assay combining recombinase polymerase amplification (RPA) with CRISPR/Cas12a containing crRNA targeting canonical protospacer adjacent motifs (PAMs) for simple, rapid, and visual identification of SVA in clinical samples. Subsequently, we successfully streamlined this system into a one-pot assay by selecting a specially designed crRNA targeting suboptimal PAM and integrating RPA amplification reagents and CRISPR/Cas12a detection components into a single reaction system in one tube. The developed methods exhibited diagnostic specificity, showing no cross-reactivity with four major swine viruses, while showing remarkable sensitivity with a lower detection limit of just two copies. Clinical validation in field samples using these two methods revealed perfect agreement (100% concordance) with conventional quantitative PCR (qPCR) results (sample size, <i>n</i> = 28), with both assays completing detection within 30 min. These results demonstrate that both the one-pot and two-pot RPA-CRISPR/Cas12a assays offer a reliable and efficient method for detecting SVA in this pilot study. Despite the limited sample size, the assays combine rapid reaction time with high sensitivity and specificity, showing great potential for future diagnostic applications.

VirusesVol. 17(9)
Yangzhou University (CN)
Openalex Percentile: Top 10%
CRISPR and Genetic Engineering
2.42
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