Integrative computational approaches reveal the Saccharomyces cerevisiae pheno-metabolomic profile.

Genome sequencing is essential to understand individual variation and to study the mechanisms that explain relations between genotype and phenotype. The accumulated knowledge from large-scale genome sequencing projects of Saccharomyces cerevisiae isolates is being used to study the mechanisms that explain such relations. In our previous work we undertook genetic and phenotypic characterization of 172 S. cerevisiae strains from different geographical origins and technological groups, using 11 polymorphic microsatellites and 30 phenotypic tests with biotechnological relevance. We confirm the strength of these associations by construction and cross-validation of computational models that can estimate a strain technological group and phenotype from microsatellite allelic combinations as tools for preliminary yeast strain selection. From these results a subset of the most diverse strains were chosen, and whole-genome sequencing was performed in order to obtain an holistic view of the genome variability associated with the differences observed previously.