核酸
清脆的
核酸检测
生物
基因
计算生物学
生物技术
遗传学
作者
Omar O. Abudayyeh,Jonathan S. Gootenberg,Max J. Kellner,Feng Zhang
出处
期刊:The CRISPR journal
[Mary Ann Liebert]
日期:2019-06-01
卷期号:2 (3): 165-171
被引量:84
标识
DOI:10.1089/crispr.2019.0011
摘要
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.
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