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.

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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

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article

A multi-channel CRISPR-based method for rapid, sensitive detection of four diseases of Brassica rapa in the field

Fenglan Zhang, Pei‐Rong Li, Xiuyun Zhao, Tongbing Su et al.
Horticulture Research
CRISPR and Genetic Engineering
article

A multi-channel CRISPR-based method for rapid, sensitive detection of four diseases of Brassica rapa in the field

Fenglan Zhang, Pei‐Rong Li, Xiuyun Zhao, Tongbing Su, Deshuang Zhang, Miao Wang, Jiao Wang, Ning Li, Weihong Wang, Shuancang Yu, Cancan Song, Yangjun Yu, Xiaoyun Xin, Xiaojing Liu
article en

Abstract

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.

Horticulture ResearchVol. 12(3)
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)
National Natural Science Foundation of China, Beijing Academy of Agricultural and Forestry Sciences, Beijing Nova Program, National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 80%
CRISPR and Genetic Engineering
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