期刊
MYCOLOGICAL RESEARCH
卷 112, 期 -, 页码 241-250出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.mycres.2007.09.004
关键词
chemical image analysis; chemosystematics; taxonomy; multivariate statistics
类别
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 1, 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. (C) 2007 The British Mycological Society. Published by Elsevier Ltd. All rights reserved.
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