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)
• Format: Article
• Language: English
• Published: Mary Ann Liebert Inc, 2021-12-08T17:52:17Z.
• 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.