| Literature DB >> 31225754 |
Omar O Abudayyeh1,2,3,4,5, Jonathan S Gootenberg1,2,3,4,6, Max J Kellner1, Feng Zhang1,2,3,4.
Abstract
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.Entities:
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Year: 2019 PMID: 31225754 PMCID: PMC7001462 DOI: 10.1089/crispr.2019.0011
Source DB: PubMed Journal: CRISPR J ISSN: 2573-1599