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Updated: May 10, 2026
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Rapid High-throughput Species Identification of Botanical Material Using Direct Analysis in Real Time High Resolution Mass Spectrometry
Published on: October 2, 2016
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plantMASST - Community-driven chemotaxonomic digitization of plants
Paulo Wender P Gomes1,2, Helena Mannochio-Russo1,2, Robin Schmid1,2,3
1Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA.
Biorxiv : the Preprint Server for Biology
|May 27, 2024
Summary
We created plantMASST, a new database of plant metabolite data from 19,075 extracts. This resource aids in exploring plant molecules using mass spectrometry for drug discovery and understanding plant evolution.
Area of Science:
- * Metabolomics
- * Bioinformatics
- * Plant Science
Background:
- * The vast diversity of plant metabolites poses challenges for understanding their distribution.
- * Exploring plant-derived molecules requires efficient data management and analysis tools.
Purpose of the Study:
- * To develop a comprehensive, taxonomically focused database of plant metabolites.
- * To facilitate the exploration and analysis of plant-derived molecules using tandem mass spectrometry (MS/MS) spectra.
- * To support research in drug discovery, biosynthesis, (chemo)taxonomy, and evolutionary ecology.
Main Methods:
- * Curated publicly available liquid chromatography-tandem mass spectrometry (LC-MS/MS) data.
- * Developed the plantMASST reference database.
- * Included data from 19,075 plant extracts across 246 botanical families, 1,469 genera, and 2,793 species.
Main Results:
- * The plantMASST database provides a valuable resource for plant metabolite exploration.
- * The database enables analysis of MS/MS spectra for identifying plant-derived molecules.
- * Facilitates taxonomic and evolutionary studies of plant chemical diversity.
Conclusions:
- * plantMASST is a significant advancement for plant metabolomics research.
- * The database supports diverse applications, including drug discovery and ecological studies.
- * Enhances the ability to investigate plant chemical diversity and evolution.
