Abstract
Hyphal anastomosis testing and molecular methods have been the primary criteria employed to understand the evolutionary and taxonomic relationships of the soil-borne fungal plant pathogen Rhizoctonia solani species complex. In this study, a metabolomics-based approach for characterizing and identifying isolates of R. solani using gas chromatography/mass spectrometry (GC/MS) metabolite profiling and footprinting was developed. Multivariate and hierarchical cluster analyses of GC/MS data provided resolution of isolates belonging to anastomosis groups (AGs) 1–6, 9, and 10 of R. solani. Clustering of R. solani AG-3 isolates, based on host origin, was also observed and attributed to metabolite-biomarkers belonging to amino, carboxylic and fatty acids. The chemotaxonomic approach using metabolomics is a high-throughput methodology that complements existing molecular approaches for the taxonomic investigation of Rhizoctonia isolates and monitoring of fungal metabolism.
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