In response to the growing need for functional beverages, this study aimed to harness yeast metabolism to optimize elderberry juice fermentation, targeting sugar reduction and enrichment of bioactive compounds with enhanced functional properties. Initially, ten yeast strains were screened in synthetic medium and elderberry juice for sugar consumption and ethanol production. Five yeasts with distinct metabolic profiles were selected to generate seven binary cultures (pairing high-with low-to-intermediate-performing strains) for juice fermentation at 30 °C for 36 h. Monocultures and binary cultures were comparatively evaluated for sugar utilization, ethanol production, and the modulation of bioactive compounds. The co-culture of Hanseniaspora uvarum and Metschnikowia pulcherrima with Hanseniaspora opuntiae, resulted in a more balanced metabolic profile, achieving high sugar reduction (80-88 %) and modulating ethanol levels (1.4-1.6 %). The same cultures significantly released phenolics (including chlorogenic acid, quercetin, hyperoside, and isoquercetin) with biological activity. Most binary cultures displayed synergistic proteolytic activity, increasing free amino acids and promoting the release of bioactive amino acid derivatives such as gamma-aminobutyric acid, especially when H. opuntiae was paired with H. uvarum and Saccharomyces cerevisiae with H. uvarum. The shaping of volatile organic compounds by S. cerevisiae favoring alcohol and acids production or non-Saccharomyces strains enhancing ester synthesis, further diversified the sensory profile when combined, contributing to aromatic complexity. In conclusion, binary yeast cultures offer an effective way to enrich low-sugar elderberry beverage with bioactive metabolites and appealing flavor. Future research should focus on in vivo validation of bioactivities, product stability, and consumer acceptability to support industrial application.
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Evidence ID | Analyze ID | Gene/Complex | Systematic Name/Complex Accession | Qualifier | Gene Ontology Term ID | Gene Ontology Term | Aspect | Annotation Extension | Evidence | Method | Source | Assigned On | Reference |
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Evidence ID | Analyze ID | Gene | Gene Systematic Name | Phenotype | Experiment Type | Experiment Type Category | Mutant Information | Strain Background | Chemical | Details | Reference |
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Evidence ID | Analyze ID | Gene | Gene Systematic Name | Disease Ontology Term | Disease Ontology Term ID | Qualifier | Evidence | Method | Source | Assigned On | Reference |
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Evidence ID | Analyze ID | Regulator | Regulator Systematic Name | Target | Target Systematic Name | Direction | Regulation of | Happens During | Regulator Type | Direction | Regulation Of | Happens During | Method | Evidence | Strain Background | Reference |
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Site | Modification | Modifier | Source | Reference |
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Evidence ID | Analyze ID | Interactor | Interactor Systematic Name | Interactor | Interactor Systematic Name | Allele | Assay | Annotation | Action | Phenotype | SGA score | P-value | Source | Reference | Note |
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Evidence ID | Analyze ID | Interactor | Interactor Systematic Name | Interactor | Interactor Systematic Name | Assay | Annotation | Action | Modification | Source | Reference | Note |
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Complement ID | Locus ID | Gene | Species | Gene ID | Strain background | Direction | Details | Source | Reference |
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Evidence ID | Analyze ID | Dataset | Description | Keywords | Number of Conditions | Reference |
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