Nucleic Acid Detection of Plant Genes Using CRISPR-Cas13
Name
crispr.2019.0011.pdf
Description
Published version
Size
498.94 KB
Format
Unknown
Checksum (MD5)
f4cec53a9efc5ef6a509ecb96cf919b6
Author(s)
Abudayyeh, Omar O.
Gootenberg, Jonathan S
Kellner, Max J.
Zhang, Feng
Date Issued
2019
Journal
The CRISPR Journal
Publisher
Mary Ann Liebert Inc
Citation
Abudayyeh, Omar O, Gootenberg, Jonathan S, Kellner, Max J and Zhang, Feng. 2019. "Nucleic Acid Detection of Plant Genes Using CRISPR-Cas13." The CRISPR Journal, 2 (3).
Version
Final published version
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.
MIT Department
Broad Institute of MIT and Harvard
McGovern Institute for Brain Research at MIT
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Department of Biological Engineering
Harvard University--MIT Division of Health Sciences and Technology
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1089/CRISPR.2019.0011
