A multi-channel CRISPR-based method for rapid, sensitive detection of four diseases of <i>Brassica rapa</i> in the field
Pathogens significantly restrict the production of <i>Brassica rapa</i> (<i>B. rapa</i> L. ssp. Pekinensis), with climate change and evolving planting patterns exacerbating disease prevalence. Multichannel rapid diagnostic methods in the field can facilitate the early detection and control of diseases in <i>B. rapa</i>. Here, we established a multichannel lateral flow biosensor (LFB) combined with a CRISPR/Cas12a cleavage assay for the simultaneous detection of four <i>B. rapa</i> diseases. Key innovations of this study include: (1) High specificity and sensitivity, down to pathogen concentrations of 1.5 pg/μl-due to the optimization of crRNA secondary structure: the more stable the crRNA, the higher its detection sensitivity. (2) Optimized visual detection parameters. We identified ideal concentration ratios for the visual fluorescence detection system: 50 nM Cas12a, 50 nM crRNA, and 500 nM ssDNA fluorescent probe. Furthermore, the optimal concentrations of components on the LFB detection system were 3 μl SA-GNPs, 500 nM ssDNA test strip probe, 0.5 mg/ml biotin-BSA as the test line, and 1 mg/ml anti-FITC as the control line. (3) Field-Ready Cas-AIRPA Platform. We developed the on-site Cas-AIRPA platform for the simultaneous detection of <i>B. rapa</i> pathogens by combining rapid nucleic acid extraction and a four-channel lateral flow biosensor (4-LFB), which quickly provides disease-related information through a specific 2D barcode. Analysis of <i>B. rapa</i> samples in the field confirmed the suitability of the Cas-AIRPA platform for rapid (~25 min) and simultaneous on-site detection of four diseases of <i>B. rapa</i>. This platform can also be adapted to detect other plant diseases in the field.
Authors
- Fenglan Zhang (ORCID: https://orcid.org/0000-0002-7155-0945)
- Pei‐Rong Li (ORCID: https://orcid.org/0000-0002-8839-1477)
- Xiuyun Zhao (ORCID: https://orcid.org/0000-0002-6396-2819)
- Tongbing Su (ORCID: https://orcid.org/0000-0002-3411-7341)
- Deshuang Zhang (ORCID: https://orcid.org/0000-0003-0640-632X)
- Miao Wang (ORCID: https://orcid.org/0000-0002-7102-4830)
- Jiao Wang (ORCID: https://orcid.org/0000-0001-7399-5705)
- Ning Li (ORCID: https://orcid.org/0000-0001-6168-9604)
- Weihong Wang (ORCID: https://orcid.org/0000-0002-8256-2183)
- Shuancang Yu (ORCID: https://orcid.org/0000-0001-7270-2472)
- Cancan Song (ORCID: https://orcid.org/0000-0001-6468-8148)
- Yangjun Yu
- Xiaoyun Xin
- Xiaojing Liu (ORCID: https://orcid.org/0000-0002-1164-0498)
Institutions
- Sinovac Biotech (CN)
- Chinese Academy of Agricultural Sciences (CN)
- Beijing Academy of Agricultural and Forestry Sciences (CN)
- Ministry of Agriculture and Rural Affairs (CN)
- Institute of Quality Standards and Testing Technology for Agro Products (CN)
Publication Details
- Journal
- Horticulture Research
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1093/hr/uhae351
- Primary Topic
- CRISPR and Genetic Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Beijing Academy of Agricultural and Forestry Sciences
- Beijing Nova Program
- National Key Research and Development Program of China