| dc.contributor.author | Abudayyeh, Omar O. | |
| dc.contributor.author | Gootenberg, Jonathan S | |
| dc.contributor.author | Kellner, Max J. | |
| dc.contributor.author | Zhang, Feng | |
| dc.date.accessioned | 2022-01-06T16:05:34Z | |
| dc.date.available | 2021-12-08T17:52:17Z | |
| dc.date.available | 2022-01-06T16:05:34Z | |
| dc.date.issued | 2019 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/138384.2 | |
| dc.description.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. | en_US |
| dc.language.iso | en | |
| dc.publisher | Mary Ann Liebert Inc | en_US |
| dc.relation.isversionof | 10.1089/CRISPR.2019.0011 | en_US |
| dc.rights | 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. | en_US |
| dc.source | Mary Ann Liebert | en_US |
| dc.title | Nucleic Acid Detection of Plant Genes Using CRISPR-Cas13 | en_US |
| dc.type | Article | en_US |
| dc.identifier.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). | en_US |
| dc.contributor.department | Broad Institute of MIT and Harvard | en_US |
| dc.contributor.department | McGovern Institute for Brain Research at MIT | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Biological Engineering | en_US |
| dc.contributor.department | Harvard University--MIT Division of Health Sciences and Technology | en_US |
| dc.relation.journal | The CRISPR Journal | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2021-12-08T17:49:10Z | |
| dspace.orderedauthors | Abudayyeh, OO; Gootenberg, JS; Kellner, MJ; Zhang, F | en_US |
| dspace.date.submission | 2021-12-08T17:49:11Z | |
| mit.journal.volume | 2 | en_US |
| mit.journal.issue | 3 | en_US |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Publication Information Needed | en_US |
