Metabolic footprinting as a tool for discriminating between brewing yeasts

Area of Science:

• Microbiology
• Biotechnology
• Analytical Chemistry

Background:

• Industrial yeast strain characterization is crucial for brewing consistency.
• Genomic methods are standard but may not capture phenotypic differences.
• Metabolic profiling offers an alternative approach to assess yeast strain variations.

Purpose of the Study:

• To compare the discriminatory power of metabolic footprinting (exometabolomics) versus genome-based methods for industrial yeast strains.
• To evaluate the effectiveness of metabolomics in distinguishing between closely related brewing yeast.
• To assess the utility of various genomic and metabolomic techniques for yeast strain analysis.

Main Methods:

• Metabolic footprinting using direct injection mass spectrometry (DIMS) and gas chromatography time-of-flight mass spectrometry (GC-TOF-MS).
• Genomic analysis including PCR-restriction fragment length polymorphism (PCR-RFLP), amplified fragment length polymorphism (AFLP), and comparative genome hybridizations (CGH).
• Statistical analysis of metabolomic data using principal components analysis (PCA) and canonical variates analysis (CVA).

Main Results:

• Metabolomic analysis successfully differentiated between nine industrial brewing yeast strains.
• Metabolomics provided discrimination for some strains that were indistinguishable by genomic analysis.
• Both DIMS and GC-TOF-MS, coupled with PCA/CVA, were effective for metabolomic profiling.

Conclusions:

• Metabolomics is a powerful tool for characterizing and differentiating industrial yeast strains.
• Exometabolome analysis complements genomic data, revealing phenotypic distinctions.
• Metabolic footprinting offers a valuable approach for quality control and strain selection in the brewing industry.