Planta Med 2009; 75(2): 178-183
DOI: 10.1055/s-0028-1112199
Analytical Studies
Original Paper
© Georg Thieme Verlag KG Stuttgart · New York

Metabolic Profiling of Echinacea Genotypes and a Test of Alternative Taxonomic Treatments

Lankun Wu1 , Philip M. Dixon2 , Basil J. Nikolau3 , George A. Kraus4 , Mark P. Widrlechner5 , Eve Syrkin Wurtele1
  • 1Department of Genetics, Development, and Cell Biology, Iowa State University, Ames, Iowa, USA
  • 2Department of Statistics, Iowa State University, Ames, Iowa, USA
  • 3Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, Iowa, USA
  • 4Department of Chemistry, Iowa State University, Ames, Iowa, USA
  • 5USDA-ARS North Central Regional Plant Introduction Station, Ames, Iowa, USA
Weitere Informationen

Publikationsverlauf

Received: September 23, 2007 Revised: September 25, 2008

Accepted: October 16, 2008

Publikationsdatum:
19. Dezember 2008 (online)

Abstract

The genus Echinacea is used as an herbal medicine to treat a variety of ailments. To better understand its potential chemical variation, 40 Echinacea accessions encompassing broad geographical and morphological diversity were evaluated under controlled conditions. Metabolites of roots from these accessions were analyzed by HPLC-photo diode array (HPLC-PDA), GC-MS, and multivariate statistical methods. In total, 43 lipophilic metabolites, including 24 unknown compounds, were detected. Weighted principal component analysis (WPCA) and clustering analysis of the levels of these metabolites across Echinacea accessions, based on Canberra distances, allowed us to test two alternative taxonomic treatments of the genus, with the further goal of facilitating accession identification. A widely used system developed by McGregor based primarily on morphological features was more congruent with the dendrogram generated from the lipophilic metabolite data than the system more recently developed by Binns et al. Our data support the hypothesis that Echinacea pallida is a diverse allopolyploid, incorporating the genomes of Echinacea simulata and another taxon, possibly Echinacea sanguinea. Finally, most recognized taxa of Echinacea can be identified by their distinct lipophilic metabolite fingerprints.

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Eve Syrkin Wurtele

Department of Genetics, Development, and Cell Biology

Iowa State University

50011 Ames

Iowa

USA

Telefon: +1-515-294-8989

Fax: +1-515-294-1337

eMail: mash@iastate.edu