Abstract
Chemotaxonomy (secondary metabolite profiling) has been shown to be of great value in the classification and differentiation in Ascomycota. However, few studies have investigated the use of metabolite production for classification and identification purposes of plant pathogenic Alternaria species. The purpose of the present study was to describe the methodology behind metabolite profiling in chemotaxonomy using A. dauci, A. porri, A. solani, and A. tomatophila strains as examples of the group. The results confirmed that A. dauci, A. solani, and A. tomatophila are three distinct species each with their own specific metabolite profiles, and that A. solani and A. tomatophila both produce altersolanol A, altertoxin I, and macrosporin. By using automated chemical image analysis and other multivariate statistic analyses, three sets of species-specific metabolites could be selected, one each for A. dauci, A. solani, and A. tomatophila.
| Original language | English |
|---|---|
| Journal | Mycological Research |
| Volume | 112 |
| Issue number | 2 |
| Pages (from-to) | 241-250 |
| Number of pages | 10 |
| ISSN | 0953-7562 |
| DOIs | |
| Publication status | Published - Feb 2008 |
Bibliographical note
Funding Information:B.A. thanks Emory G. Simmons for ex-type, representative, and other Alternaria cultures, and A.D. thanks Ilona Walcz for cultures and encouragement during A.D.'s PhD study. This project was conducted at BioCentrum-DTU and partly supported by a CIRIUS grant to A.D. from the Danish Ministry of Education.
Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
Keywords
- Chemical image analysis
- Chemosystematics
- Multivariate statistics
- Taxonomy