Literature DB >> 29534903

Laboratory evolution reveals regulatory and metabolic trade-offs of glycerol utilization in Saccharomyces cerevisiae.

Tomas Strucko1, Katharina Zirngibl2, Filipa Pereira2, Eleni Kafkia2, Elsayed T Mohamed3, Mandy Rettel2, Frank Stein2, Adam M Feist4, Paula Jouhten2, Kiran Raosaheb Patil5, Jochen Forster3.   

Abstract

Most microbial species, including model eukaryote Saccharomyces cerevisiae, possess genetic capability to utilize many alternative nutrient sources. Yet, it remains an open question whether these manifest into assimilatory phenotypes. Despite possessing all necessary pathways, S. cerevisiae grows poorly or not at all when glycerol is the sole carbon source. Here we discover, through multiple evolved lineages, genetic determinants underlying glycerol catabolism and the associated fitness trade-offs. Most evolved lineages adapted through mutations in the HOG pathway, but showed hampered osmotolerance. In the other lineages, we find that only three mutations cause the improved phenotype. One of these contributes counter-intuitively by decoupling the TCA cycle from oxidative phosphorylation, and thereby hampers ethanol utilization. Transcriptomics, proteomics and metabolomics analysis of the re-engineered strains affirmed the causality of the three mutations at molecular level. Introduction of these mutations resulted in improved glycerol utilization also in industrial strains. Our findings not only have a direct relevance for improving glycerol-based bioprocesses, but also illustrate how a metabolic pathway can remain unexploited due to fitness trade-offs in other, ecologically important, traits.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adaptive laboratory evolution; Causal mutations; Multi-omics analysis

Mesh:

Substances:

Year:  2018        PMID: 29534903     DOI: 10.1016/j.ymben.2018.03.006

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  14 in total

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Journal:  Metab Eng       Date:  2019-08-08       Impact factor: 9.783

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10.  Adaptive laboratory evolution of microbial co-cultures for improved metabolite secretion.

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Journal:  Mol Syst Biol       Date:  2021-08       Impact factor: 11.429

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