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Medicinal Plants: A Public Resource for Metabolomics and Hypothesis Development
Metabolites
  • Eve Syrkin Wurtele, Iowa State University
  • Joe Chappell, University of Kentucky
  • A. Daniel Jones, Michigan State University
  • Mary Dawn Celiz, Michigan State University
  • Nick Ransom, Iowa State University
  • Manhoi Hur, Iowa State University
  • Ludmila Rizshsky, Iowa State University
  • Matthew Crispin, Iowa State University
  • Philip Dixon, Iowa State University
  • Jia Liu, Iowa State University
  • Mark P. Widrlechner, Iowa State University
  • Basil J. Nikolau, Iowa State University
Abstract

Specialized compounds from photosynthetic organisms serve as rich resources for drug development. From aspirin to atropine, plant-derived natural products have had a profound impact on human health. Technological advances provide new opportunities to access these natural products in a metabolic context. Here, we describe a database and platform for storing, visualizing and statistically analyzing metabolomics data from fourteen medicinal plant species. The metabolomes and associated transcriptomes (RNAseq) for each plant species, gathered from up to twenty tissue/organ samples that have experienced varied growth conditions and developmental histories, were analyzed in parallel. Three case studies illustrate different ways that the data can be integrally used to generate testable hypotheses concerning the biochemistry, phylogeny and natural product diversity of medicinal plants. Deep metabolomics analysis of Camptotheca acuminata exemplifies how such data can be used to inform metabolic understanding of natural product chemical diversity and begin to formulate hypotheses about their biogenesis. Metabolomics data from Prunella vulgaris, a species that contains a wide range of antioxidant, antiviral, tumoricidal and anti-inflammatory constituents, provide a case study of obtaining biosystematic and developmental fingerprint information from metabolite accumulation data in a little studied species. Digitalis purpurea, well known as a source of cardiac glycosides, is used to illustrate how integrating metabolomics and transcriptomics data can lead to identification of candidate genes encoding biosynthetic enzymes in the cardiac glycoside pathway. Medicinal Plant Metabolomics Resource (MPM) [1] provides a framework for generating experimentally testable hypotheses about the metabolic networks that lead to the generation of specialized compounds, identifying genes that control their biosynthesis and establishing a basis for modeling metabolism in less studied species. The database is publicly available and can be used by researchers in medicine and plant biology.

Document Type
Article
Publication Date
11-21-2012
Notes/Citation Information

Published in Metabolites, v. 2, no. 4, p. 1031-1059.

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Digital Object Identifier (DOI)
http://dx.doi.org/10.3390/metabo2041031
Citation Information
Eve Syrkin Wurtele, Joe Chappell, A. Daniel Jones, Mary Dawn Celiz, et al.. "Medicinal Plants: A Public Resource for Metabolomics and Hypothesis Development" Metabolites Vol. 2 Iss. 4 (2012) p. 1031 - 1059
Available at: http://works.bepress.com/philip-dixon/20/