期刊
CRISPR JOURNAL
卷 2, 期 3, 页码 165-171出版社
MARY ANN LIEBERT, INC
DOI: 10.1089/crispr.2019.0011
关键词
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资金
- Paul and Daisy Soros Fellowship
- NIH [F30 NRSA 1F30-CA210382, 1R01-HG009761, 1R01-MH110049, 1DP1-HL141201]
- Howard Hughes Medical Institute
- New York Stem Cell and Mathers Foundations
- Poitras Center for Affective Disorders Research at MIT
- Hock E. Tan and K. Lisa Yang Center for Autism Research at MIT
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 (similar to 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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