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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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RNA-seq of wine yeast strains, parental and adaptively evolved for selective increase in aroma compounds originating in branched-chain or aromatic amino acid pathway

ABSTRACT: Adaptive laboratory evolution is highly effective for improving desired traits through natural selection. However, its applicability is inherently constrained to growth-correlated traits precluding traits of interest that incur a fitness cost, such as metabolite secretion. Here, we introduce the concept of tacking trait enabling natural selection of fitness-costly metabolic traits. The concept is inspired from the tacking maneuver used in sailing for traversing upwind. We use first-principle metabolic models to design an evolution niche wherein the tacking trait and fitness become correlated. Adaptive evolution in this niche, when followed by the reversal to the original niche, manifests in the improvement of the desired trait due to biochemical coupling between the tacking and the desired trait. We experimentally demonstrated this strategy, termed EvolveX, by evolving wine yeasts for increased aroma production. RNA-sequencing was performed for parental and evolved strains in the respective evolution niche and in natural grape must.

INSTRUMENT(S): NextSeq 500

ORGANISM(S): Saccharomyces cerevisiae

SUBMITTER: Filipa Pereira

PROVIDER: E-MTAB-10019 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Trait tacking for predictive evolution of metabolic pheotypes

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