Data integration uncovers the metabolic bases of phenotypic variation in yeast.

ABSTRACT: The relationship between different levels of integration is a key feature for understanding the genotype-phenotype map. Here, we describe a novel method of integrated data analysis that incorporates protein abundance data into constraint-based modeling to elucidate the biological mechanisms underlying phenotypic variation. Specifically, we studied yeast genetic diversity at three levels of phenotypic complexity in a population of yeast obtained by pairwise crosses of eleven strains belonging to two species, Saccharomyces cerevisiae and S. uvarum. The data included protein abundances, integrated traits (life-history/fermentation) and computational estimates of metabolic fluxes. Results highlighted that the negative correlation between production traits such as population carrying capacity (

SUBMITTER: Petrizzelli MS 

PROVIDER: S-EPMC8315545 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature