New integrative computational approaches unveil the Saccharomyces cerevisiae pheno-metabolomic fermentative profile and allow strain selection for winemaking.
During must fermentation by Saccharomyces cerevisiae strains thousands of volatile aroma compounds are formed. The objective of the present work was to adapt computational approaches to analyze pheno-metabolomic diversity of a S. cerevisiae strain collection with different origins. Phenotypic and genetic characterization together with individual must fermentations were performed, and metabolites relevant to aromatic profiles were determined. Experimental results were projected onto a common coordinates system, revealing 17 statistical-relevant multi-dimensional modules, combining sets of most-correlated features of noteworthy biological importance. The present method allowed, as a breakthrough, to combine genetic, phenotypic and metabolomic data, which has not been possible so far due to difficulties in comparing different types of data. Therefore, the proposed computational approach revealed as successful to shed light into the holistic characterization of S. cerevisiae pheno-metabolome in must fermentative conditions. This will allow the identification of combined relevant features with application in selection of good winemaking strains.
CBMA - Molecular and Environmental Research Centre, Department of Biology, University of Minho, Braga, Portugal. Electronic address: ricardofilipeduarte@bio.uminho.pt.
Ricardo
R
Franco-Duarte
Faculty of Administration, University of Ljubljana, Ljubljana, Slovenia.
Lan
L
Umek
CBMA - Molecular and Environmental Research Centre, Department of Biology, University of Minho, Braga, Portugal.
Inês
I
Mendes
IBB - Institute for Biotechnology and Bioengineering, Centre of Biological Engineering, University of Minho, Braga, Portugal.
Cristiana C
CC
Castro
CBMA - Molecular and Environmental Research Centre, Department of Biology, University of Minho, Braga, Portugal.
Nuno
N
Fonseca
Escola Superior de Biotecnologia, Universidade Católica Portuguesa, Porto, Portugal.
Rosa
R
Martins
Escola Superior de Biotecnologia, Universidade Católica Portuguesa, Porto, Portugal.
António C
AC
Silva-Ferreira
CBMA - Molecular and Environmental Research Centre, Department of Biology, University of Minho, Braga, Portugal.
Paula
P
Sampaio
CBMA - Molecular and Environmental Research Centre, Department of Biology, University of Minho, Braga, Portugal.
Célia
C
Pais
CBMA - Molecular and Environmental Research Centre, Department of Biology, University of Minho, Braga, Portugal.
Dorit
D
Schuller
D019295:Computational Biology; D005285:Fermentation; D005511:Food Handling; D014644:Genetic Variation; D055442:Metabolome; D012441:Saccharomyces cerevisiae / Q000235:genetics / Q000378:metabolism*; D014920:Wine / Q000032:analysis / Q000382:microbiology*
Data-fusion; Matrix factorization; Metabolomics; Saccharomyces cerevisiae; Wine yeasts