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CRISPR J. 2019 Jun;2:165-171. doi: 10.1089/crispr.2019.0011.

Nucleic Acid Detection of Plant Genes Using CRISPR-Cas13.

Abudayyeh OO1,2,3,4,5, Gootenberg JS1,2,3,4,6, Kellner MJ1, Zhang F1,2,3,4.

Author information

1
1 Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Harvard Medical School, Boston, Massachusetts.
2
2 McGovern Institute for Brain Research at MIT, Cambridge, Massachusetts; Departments of Harvard Medical School, Boston, Massachusetts.
3
3 Brain and Cognitive Science, Harvard Medical School, Boston, Massachusetts.
4
4 Biological Engineering, and Harvard Medical School, Boston, Massachusetts.
5
5 Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Massachusetts; Harvard Medical School, Boston, Massachusetts.
6
6 Department of Systems Biology, Harvard Medical School, Boston, Massachusetts.

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.

PMID:
31225754
DOI:
10.1089/crispr.2019.0011

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