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GAGE is a method for identification of plant species based on whole genome analysis and genome editing
Whole genomes of plants should be ideal databases for their species identification, but unfortunately there was no such method before this exploration. Here we report a plant species identification method based on the whole Genome Analysis and Genome Editing (GAGE). GAGE searches for target sequence...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464240/ https://www.ncbi.nlm.nih.gov/pubmed/36088518 http://dx.doi.org/10.1038/s42003-022-03894-9 |
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author | Hao, Lijun Xu, Wenjie Qi, Guihong Xin, Tianyi Xu, Zhichao Lei, Hetian Song, Jingyuan |
author_facet | Hao, Lijun Xu, Wenjie Qi, Guihong Xin, Tianyi Xu, Zhichao Lei, Hetian Song, Jingyuan |
author_sort | Hao, Lijun |
collection | PubMed |
description | Whole genomes of plants should be ideal databases for their species identification, but unfortunately there was no such method before this exploration. Here we report a plant species identification method based on the whole Genome Analysis and Genome Editing (GAGE). GAGE searches for target sequences from the whole genome of the subject plant and specifically detects them by employing a CRISPR/Cas12a system. Similar to how Mendel chose Pisum sativum (pea), we selected Crocus sativus (saffron) to establish GAGE, in which we constructed a library containing all candidate target sequences. Taking a target sequence in the ITS2 region as an example, we confirmed the feasibility, specificity, and sensitivity of GAGE. Consequently, we succeeded in not only using GAGE to identify Cr. sativus and its adulterants, but also executing GAGE in the plants from different classes including angiosperms, gymnosperms, ferns, and lycophytes. This sensitive and rapid method is the first plant species identification method based on the whole genome and provides new insights into the application of the whole genome in species identification. |
format | Online Article Text |
id | pubmed-9464240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-94642402022-09-12 GAGE is a method for identification of plant species based on whole genome analysis and genome editing Hao, Lijun Xu, Wenjie Qi, Guihong Xin, Tianyi Xu, Zhichao Lei, Hetian Song, Jingyuan Commun Biol Article Whole genomes of plants should be ideal databases for their species identification, but unfortunately there was no such method before this exploration. Here we report a plant species identification method based on the whole Genome Analysis and Genome Editing (GAGE). GAGE searches for target sequences from the whole genome of the subject plant and specifically detects them by employing a CRISPR/Cas12a system. Similar to how Mendel chose Pisum sativum (pea), we selected Crocus sativus (saffron) to establish GAGE, in which we constructed a library containing all candidate target sequences. Taking a target sequence in the ITS2 region as an example, we confirmed the feasibility, specificity, and sensitivity of GAGE. Consequently, we succeeded in not only using GAGE to identify Cr. sativus and its adulterants, but also executing GAGE in the plants from different classes including angiosperms, gymnosperms, ferns, and lycophytes. This sensitive and rapid method is the first plant species identification method based on the whole genome and provides new insights into the application of the whole genome in species identification. Nature Publishing Group UK 2022-09-10 /pmc/articles/PMC9464240/ /pubmed/36088518 http://dx.doi.org/10.1038/s42003-022-03894-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Hao, Lijun Xu, Wenjie Qi, Guihong Xin, Tianyi Xu, Zhichao Lei, Hetian Song, Jingyuan GAGE is a method for identification of plant species based on whole genome analysis and genome editing |
title | GAGE is a method for identification of plant species based on whole genome analysis and genome editing |
title_full | GAGE is a method for identification of plant species based on whole genome analysis and genome editing |
title_fullStr | GAGE is a method for identification of plant species based on whole genome analysis and genome editing |
title_full_unstemmed | GAGE is a method for identification of plant species based on whole genome analysis and genome editing |
title_short | GAGE is a method for identification of plant species based on whole genome analysis and genome editing |
title_sort | gage is a method for identification of plant species based on whole genome analysis and genome editing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464240/ https://www.ncbi.nlm.nih.gov/pubmed/36088518 http://dx.doi.org/10.1038/s42003-022-03894-9 |
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