Yeast optimisation has been crucial in improving the quality and efficiency of beer production, one of the world's most widely consumed beverages. In this context, rare mating hybridisation is a promising technique for yeast optimization to generate novel and improved non-GMO strains. The limitation of this technique is the lack of knowledge and comparable data on yeast strains hybridisable to Saccharomyces cerevisiae, probably the most important yeast species in beer production. Yeast from the genera Saccharomyces, Naumovozyma, Nakaseomyces and Kazachstania have been described to be able to form hybrids with S. cerevisiae. In the present study, 242 yeast strains were analysed under brewing conditions, including Saccharomyces species (S. cerevisiae, S. kudriavzevii, S. uvarum, S. eubayanus, S. paradoxus, S. mikatae, S. jurei and S. arboricola) and non-Saccharomyces species (Naumovozyma, Nakaseomyces and Kazaschtania), representing the full genetic variability (species and subpopulations) described up to the start of the study. The fermentation profile was analysed by monitoring weight loss during fermentation to determine kinetic parameters and CO2 production. Metabolic analysis was performed to determine the concentration of sugars (maltotriose, maltose and glucose), alcohols (ethanol, glycerol and 2,3-butanediol) and organic acids (malic acid, succinic acid and acetic acid). Maltose and maltotriose are the predominant sugars in beer wort. The ability to consume these sugars determines the characteristics of the final product. Dataset comparisons were then made at species, subpopulation and isolation source level. The results obtained in this study demonstrate the great phenotypic variability that exists within the genus Saccharomyces and within each species of this genus, which could be useful in the generation of optimised brewing hybrids. Yeasts with different fermentative capacities and fermentative behaviours can be found under brewing conditions. S. cerevisiae, S. uvarum and S. eubayanus are the species that contain strains with similar fermentation performance to commercial strains.
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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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