DNA Fragment Fusion-Triggered Label-Free Detection of Listeria monocytogenes Subtypes via Fusion RAA and Hybrid Split G-Quadruplex
Abstract Bacterial subtype detection using multiplex amplification with multiple distinguishable labels is complex and costly, whereas recombinant DNA technology via fragment fusion provides a simpler, cheaper alternative. Here, we propose a label-free method for Listeria monocytogenes subtype detection based on a hybrid split G-quadruplex (G4) and fusion recombinase-aided amplification (RAA)-cascaded CRISPR/Cas13a (HGFRC) platform. Fusion RAA co-amplified species-specific and clonal complex (CC)-specific targets into 535 bp fusion products, which activated T7 transcription and Cas13a trans-cleavage activity. Activated Cas13a cleaved the RNA linker, disrupting G4 assembly and reducing fluorescence to generate a signal-off response. This design eliminated labeled probes, enabling single-signal detection. The assay achieved a sensitivity of 1.0 × 101 CFU/mL within 45 min, with good specificity and sample suitability. Overall, this study provides a label-free, sensitive, and specific method for detecting L. monocytogenes CC5, offering new insights for bacterial subtype biosensing.
Authors
- Di Wu (ORCID: https://orcid.org/0000-0002-5895-2237)
- Guoliang Li (ORCID: https://orcid.org/0000-0001-7951-9750)
- Rui Han (ORCID: https://orcid.org/0000-0003-4703-768X)
- Lihua Fan (ORCID: https://orcid.org/0000-0002-8534-0914)
- Baoqing Zhou
- Haorui Zhu
- Ruiting Yao
- Yiheng Shi (ORCID: https://orcid.org/0009-0001-0232-9251)
- Fan Li
- Xinxin Jiang
Institutions
- Queen's University Belfast (GB)
- Korea Testing Certification (KR)
- Shaanxi University of Science and Technology (CN)
Publication Details
- Journal
- Journal of Agricultural and Food Chemistry
- Published
- 2026-09-17
- DOI
- https://doi.org/10.1021/acs.jafc.6c09842
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Natural Science Foundation of Jiangxi Province
- Shaanxi Province Postdoctoral Science Foundation