1
|
Šoštarić N, Arslan A, Carvalho B, Plech M, Voordeckers K, Verstrepen KJ, van Noort V. Integrated Multi-Omics Analysis of Mechanisms Underlying Yeast Ethanol Tolerance. J Proteome Res 2021; 20:3840-3852. [PMID: 34236875 PMCID: PMC8353626 DOI: 10.1021/acs.jproteome.1c00139] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
![]()
For yeast cells,
tolerance to high levels of ethanol is vital both
in their natural environment and in industrially relevant conditions.
We recently genotyped experimentally evolved yeast strains adapted
to high levels of ethanol and identified mutations linked to ethanol
tolerance. In this study, by integrating genomic sequencing data with
quantitative proteomics profiles from six evolved strains (data set
identifier PXD006631) and construction of protein interaction networks,
we elucidate exactly how the genotype and phenotype are related at
the molecular level. Our multi-omics approach points to the rewiring
of numerous metabolic pathways affected by genomic and proteomic level
changes, from energy-producing and lipid pathways to differential
regulation of transposons and proteins involved in cell cycle progression.
One of the key differences is found in the energy-producing metabolism,
where the ancestral yeast strain responds to ethanol by switching
to respiration and employing the mitochondrial electron transport
chain. In contrast, the ethanol-adapted strains appear to have returned
back to energy production mainly via glycolysis and ethanol fermentation,
as supported by genomic and proteomic level changes. This work is
relevant for synthetic biology where systems need to function under
stressful conditions, as well as for industry and in cancer biology,
where it is important to understand how the genotype relates to the
phenotype.
Collapse
Affiliation(s)
- Nikolina Šoštarić
- Centre of Microbial and Plant Genetics, KU Leuven, Kasteelpark Arenberg 22, B-3001 Leuven, Belgium
| | - Ahmed Arslan
- Centre of Microbial and Plant Genetics, KU Leuven, Kasteelpark Arenberg 22, B-3001 Leuven, Belgium
| | - Bernardo Carvalho
- Centre of Microbial and Plant Genetics, KU Leuven, Kasteelpark Arenberg 22, B-3001 Leuven, Belgium
| | - Marcin Plech
- Centre of Microbial and Plant Genetics, KU Leuven, Kasteelpark Arenberg 22, B-3001 Leuven, Belgium.,VIB-KU Leuven Center for Microbiology, Bioincubator, Gaston Geenslaan 1, B-3001 Leuven, Belgium
| | - Karin Voordeckers
- Centre of Microbial and Plant Genetics, KU Leuven, Kasteelpark Arenberg 22, B-3001 Leuven, Belgium.,VIB-KU Leuven Center for Microbiology, Bioincubator, Gaston Geenslaan 1, B-3001 Leuven, Belgium
| | - Kevin J Verstrepen
- Centre of Microbial and Plant Genetics, KU Leuven, Kasteelpark Arenberg 22, B-3001 Leuven, Belgium.,VIB-KU Leuven Center for Microbiology, Bioincubator, Gaston Geenslaan 1, B-3001 Leuven, Belgium
| | - Vera van Noort
- Centre of Microbial and Plant Genetics, KU Leuven, Kasteelpark Arenberg 22, B-3001 Leuven, Belgium.,Institute of Biology Leiden, Faculty of Science, Leiden University, Sylviusweg 72, 2333 BE Leiden, The Netherlands
| |
Collapse
|