ArticleCommunications biology2022
GAGE is a method for identification of plant species based on whole genome analysis and genome editing.
Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- DNA Barcoding for Identification and Traceability in the Entire Industrial Chain of Lonicerae Japonicae Flos.Plants (Basel, Switzerland) · 2026Article
- Development of a MIRA-CRISPR/Cas12a-based nucleic acid detection system for the discrimination ofJournal of ginseng research · 2026Article
- A genomic approach for accurate identification of closely related species with next-generation sequencing samples.Scientific reports · 2026Article
- A comprehensive ruminant microbial catalog (CRMC) reveals convergent selection for key vitamin-synthesizing pathways and genes across ruminants and human.GigaScience · 2026Article
- Analysis of Whole-Genome forJournal of fungi (Basel, Switzerland) · 2025Article
- PubPlant - a continuously updated online resource for sequenced and published plant genomes.Frontiers in plant science · 2025Article
- From Species to Varieties: How Modern Sequencing Technologies Are Shaping Medicinal Plant Identification.Genes · 2024Review
- Analysis of Whole-Genome for Identification of SevenInternational journal of molecular sciences · 2024Article
- Analysis of Whole-Genome as a Novel Strategy for Animal Species Identification.International journal of molecular sciences · 2024Article
- Identification of closely related species inFrontiers in microbiology · 2024Article
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7 authors.
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Abstract
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.
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