Nucleic Acid Detection of Plant Genes Using CRISPR-Cas13
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Show full item recordAbstract
Nucleic acid detection is vital for agricultural applications including trait detection during breeding, pest surveillance, and pathogen identification. Here, we use a modified version of the CRISPR-based nucleic acid detection platform SHERLOCK to quantify levels of a glyphosate resistance gene in a mixture of soybeans and to detect multiple plant genes in a single reaction. SHERLOCK is rapid (∼15 min), quantitative, and portable, and can process crude soybean extracts as input material for minimal nucleic acid sample preparation. This field-ready SHERLOCK platform with color-based lateral flow readout can be applied for detection and quantitation of genes in a range of agricultural applications.
Date issued
2019Department
Broad Institute of MIT and Harvard; McGovern Institute for Brain Research at MIT; Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences; Massachusetts Institute of Technology. Department of Biological Engineering; Harvard University--MIT Division of Health Sciences and TechnologyJournal
The CRISPR Journal
Publisher
Mary Ann Liebert Inc
Citation
Abudayyeh, Omar O, Gootenberg, Jonathan S, Kellner, Max J and Zhang, Feng. 2019. "Nucleic Acid Detection of Plant Genes Using CRISPR-Cas13." The CRISPR Journal, 2 (3).
Version: Final published version