Nucleic Acid Detection of Plant Genes Using CRISPR-Cas13

• Main Authors: Abudayyeh, Omar O. (Author), Gootenberg, Jonathan S (Author), Kellner, Max J. (Author), Zhang, Feng (Author)
• Other Authors: Broad Institute of MIT and Harvard (Contributor), McGovern Institute for Brain Research at MIT (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Harvard University- (Contributor)
• Format: Article
• Language: English
• Published: Mary Ann Liebert Inc, 2022-01-06T16:05:34Z.
• Subjects: Article
• Online Access: Get fulltext

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.