{"title":"A multi-channel CRISPR-based method for rapid, sensitive detection of four diseases of Brassica rapa in the field","authors":"Xiaojing Liu, Tongbing Su, Xiaoyun Xin, Peirong Li, Weihong Wang, Cancan Song, Xiuyun Zhao, Deshuang Zhang, Yangjun Yu, Jiao Wang, Ning Li, Miao Wang, Fenglan Zhang, Shuancang Yu","doi":"10.1093/hr/uhae351","DOIUrl":null,"url":null,"abstract":"Pathogens significantly restrict the production of Brassica rapa (Brassica rapa L. ssp. Pekinensis), with climate change and evolving planting patterns exacerbating disease prevalence. Multi-channel rapid diagnostic methods in the field can facilitate the early detection and control of diseases in B. rapa. Here, we established a multi-channel lateral flow biosensor (LFB) combined with a CRISPR/Cas12a cleavage assay for the simultaneous detection of four B. rapa 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 B. rapa 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 two-dimensional barcode. Analysis of B. rapa 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 B. rapa. This platform can also be adapted to detect other plant diseases in the field.","PeriodicalId":13179,"journal":{"name":"Horticulture Research","volume":"11 1","pages":""},"PeriodicalIF":8.7000,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Horticulture Research","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1093/hr/uhae351","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Pathogens significantly restrict the production of Brassica rapa (Brassica rapa L. ssp. Pekinensis), with climate change and evolving planting patterns exacerbating disease prevalence. Multi-channel rapid diagnostic methods in the field can facilitate the early detection and control of diseases in B. rapa. Here, we established a multi-channel lateral flow biosensor (LFB) combined with a CRISPR/Cas12a cleavage assay for the simultaneous detection of four B. rapa 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 B. rapa 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 two-dimensional barcode. Analysis of B. rapa 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 B. rapa. This platform can also be adapted to detect other plant diseases in the field.
期刊介绍:
Horticulture Research, an open access journal affiliated with Nanjing Agricultural University, has achieved the prestigious ranking of number one in the Horticulture category of the Journal Citation Reports ™ from Clarivate, 2022. As a leading publication in the field, the journal is dedicated to disseminating original research articles, comprehensive reviews, insightful perspectives, thought-provoking comments, and valuable correspondence articles and letters to the editor. Its scope encompasses all vital aspects of horticultural plants and disciplines, such as biotechnology, breeding, cellular and molecular biology, evolution, genetics, inter-species interactions, physiology, and the origination and domestication of crops.