Evidence mapPaperPMID 41313322Full record

ArticleFEMS yeast research2025

Adaptive laboratory evolution of Saccharomyces cerevisiae CEN.PK 113-7D to enhance ethanol tolerance.

Fatemeh Sheikhi, Mahsa Babaei, Khosrow Rostami, Mehrdad Azin, Mohammad Ali Asadollahi, Payam Ghiaci, Mansour Ebrahimi, Amir Feizi, Irina Borodina

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Article in FEMS yeast research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Fatemeh SheikhiDepartment of Biotechnology, Iranian Research Organization for Science and Technology (IROST), Tehran 331319-3685, Iran.ORCID 0000-0001-9263-1464
Mahsa BabaeiThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark.ORCID 0000-0002-7862-0811
Khosrow RostamiDepartment of Biotechnology, Iranian Research Organization for Science and Technology (IROST), Tehran 331319-3685, Iran.
Mehrdad AzinDepartment of Biotechnology, Iranian Research Organization for Science and Technology (IROST), Tehran 331319-3685, Iran.
Mohammad Ali AsadollahiDepartment of Biotechnology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan 81746-73441, Iran.
Payam GhiaciDepartment of Biorefinery and Energy, High-throughput Centre, Research Institutes of Sweden, Örnsköldsvik 89250, Sweden.
Mansour EbrahimiBioinformatics Research Group, Green Research Center, University of Qom, Qom 3716133779, Iran.
Amir FeiziOMass Therapeutics, Oxford, OX4 2GX  United Kingdom.
Irina BorodinaThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark.

Funding

Horizon 2020 814408Ministry of Science Research and TechnologyNovo Nordisk Foundation NNF20CC0035580Novo Nordisk Foundation NNF20OC0060809Novo Nordisk Foundation NNF21OC0072559Sugarcane Training and Research Institute of Khuzestan, Iran 12599407
6 · The paper itself

Abstract

Saccharomyces cerevisiae is a widely used yeast for industrial production of ethanol. However, elevated ethanol, temperature, and osmotic stress adversely affect fermentation efficiency. In this study, adaptive laboratory evolution for S. cerevisiae CEN.PK 113-7D on higher concentrations of ethanol was performed. After 144 days, the maximum specific growth rate (µmax) increased from 0.0240 to 0.1150 h-1 for the strain evolved on 9% v/v ethanol, and from 0.0002 to 0.0530 h-1 for the strain evolved on 11% v/v ethanol, and the specific glucose uptake rate increased by 30%. The strain evolved on 11% ethanol produced 94.5 g/L ethanol in a fermentation as compared to 78.5 g/L production by a non-evolved strain. By whole-genome sequencing of the evolved clones, we identified multiple coding mutations in genes involved in processes such as stress response, cell growth regulation, pentose phosphate pathway, lipid synthesis, and redox balance. The selected mutations in RKI1, CYC2, ANR2, RGA2, RGA1, LPX1, and LRE1 genes were validated by introducing them in the nonevolved yeast, showing 1.7-5-fold growth improvement at 9% ethanol (P < 0.05). Notably, RGA2, RGA1 and LPX 1 carried an identical missense mutation across three independent clones. The RKI1I208V mutant showed the highest ethanol tolerance, while CYC2N342A achieved the highest ethanol production.

Indexed as

Directed Molecular EvolutionEthanolSaccharomyces cerevisiaeFermentationGlucoseMutationSaccharomyces cerevisiae ProteinsWhole Genome SequencingEthanolGlucoseSaccharomyces cerevisiae ProteinsAdaptive laboratory evolutionCRISPR-Cas9ethanol tolerancereverse engineeringSaccharomyces cerevisiaestrain improvement

Identifiers

PMID41313322
PMCPMC12671053

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.