Key research themes
1. How can molecular and phenotypic techniques improve the accuracy and speed of yeast species identification in clinical and industrial settings?
This theme investigates the efficacy and optimization of various molecular, biochemical, and culture-based methods for the reliable identification of yeast species, especially in clinical diagnostics and biotechnological processes. Accurate species identification is critical for targeted antifungal treatment, detection of mixed infections, and quality control in fermentation, as different yeast species can differ significantly in pathogenicity, drug resistance, and technological traits.
2. What is the ecological diversity and biotechnological potential of yeast species isolated from natural, food, and industrial environments?
This theme explores the discovery, molecular identification, and characterization of yeast strains from diverse environments such as marine ecosystems, fermented food matrices, forest soils, and bio-waste residues. Insights include the taxonomic diversity present, adaptation to environmental stresses, biochemical profiles relevant for biotechnology (e.g., lipid content, enzyme activities), and utilization as starter cultures or single cell proteins/oils. Understanding these characteristics enhances strain selection for industrial applications like bioethanol production, food fermentation, and oleochemical synthesis.
3. What is the clinical and environmental distribution of opportunistic and pathogenic yeast species, and how does this impact infection risk and diagnosis?
This research area focuses on identifying pathogenic yeast species beyond clinical settings, understanding their environmental reservoirs, assessing their role in infections, and improving detection in clinical samples. It addresses the rising clinical importance of non-albicans Candida and other novel yeasts, their antifungal resistance profiles, and the implications for infection management. This theme underscores the complexity of yeast ecology in natural carriers and fomites, which affects disease epidemiology and diagnostic accuracy.