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Genetic Manipulation of the Plant Pathogen Ustilago maydis to Study Fungal Biology and Plant Microbe Interactions
Published on: September 30, 2016
In vitro interactions between Fusarium verticillioides and Ustilago maydis through real-time PCR and metabolic
Alma E Rodriguez Estrada1, Adrian Hegeman, H Corby Kistler
1Department of Ecology, Evolution and Behavior, University of Minnesota, 1987 Upper Buford Circle, St. Paul, MN 55108, USA.
Abstract:
The goal of this research was to determine mechanisms of interaction between endophytic strains of Fusarium verticillioides (Sacc.) Nirenberg and the pathogen, Ustilago maydis (DC) (Corda). Endophytic strains of the fungus F. verticillioides are commonly found in association with maize (Zea mays) and when co-inoculated with U. maydis, often lead to decreased disease severity caused by the pathogen. Here, we developed methods (liquid chromatography-mass spectrometry) to evaluate changes in relative concentration of metabolites produced during in vitro interactions between the endophyte and pathogen. Fungi were grown on two different media, in single and in confronted cultures. We used real-time PCR (qPCR) assays to measure relative changes in fungal biomass, that occurred in confronted cultures compared to single cultures. The results showed that most secondary metabolites are constitutively produced by each species. Metabolite profiles are complex for U. maydis (twenty chromatographic peaks detected) while relatively fewer compounds were detected for F. verticillioides (six chromatographic peaks). In confronted cultures, metabolite ratio (metabolite concentration/biomass) generally increases for U. maydis metabolites while no significant changes were observed for most F. verticillioides metabolites. The results show that F. verticillioides is a strong antagonist of U. maydis as its presence leads to large reductions in U. maydis biomass. We infer that few U. maydis metabolites likely serve antibiotic functions against F. verticillioides. The methods described here are sufficiently sensitive to detect small changes in biomass and metabolite concentration associated with differing genotypes of the interacting species.
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