ArticlePLoS genetics2015
Adaptation to High Ethanol Reveals Complex Evolutionary Pathways.
Article in PLoS genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
93 citing papers in PubMed, 186 citations in OpenAlex.
- Adaptive laboratory evolution of Saccharomyces cerevisiae enhances butyric acid tolerance and enables co-cultivation with Clostridium tyrobutyricum.Microbial cell factories · 2026Article
- Challenges and Technological Strategies to Enhance Probiotic Viability in Non-Dairy Food Matrices.Molecules (Basel, Switzerland) · 2026Review
- Combinatorial effects of multiple genes contribute to beneficial aneuploidy phenotypes.EMBO reports · 2026Article
- Strength of selection potentiates distinct adaptive responses in an evolution experiment with outcrossing yeast.G3 (Bethesda, Md.) · 2026Article
- Yeast Stress Response to Synthetic Constructs.ACS synthetic biology · 2026Review
- QTL mapping, breeding, and debugging Saccharomyces cerevisiae strains through Reiterated Mass Selection and backcrosSing (ReMaSSing).Biotechnology for biofuels and bioproducts · 2026Article
- De novo genome assembly of a native Saccharomyces cerevisiae strain isolated from spontaneous fermentation of vineyard must in the Atacama Desert (Chile).FEMS yeast research · 2026Article
- Chromosome III Aneuploidy Enhances Ethanol Tolerance in Industrial Saccharomyces cerevisiae by Increasing the TUP1 Copy Number.Microbial biotechnology · 2025Article
- Wine Fermentation as a Model System for Microbial Ecology and Evolution.Environmental microbiology · 2025Review
- Article
- Spontaneous and environment induced genomic alterations in yeast model.Cell insight · 2025Review
- Adaptive laboratory evolution of Saccharomyces cerevisiae CEN.PK 113-7D to enhance ethanol tolerance.FEMS yeast research · 2025Article
- A chromatographic approach for investigating the proliferation ability of nativeFrontiers in fungal biology · 2025Article
- Optimal trade-off between boosted tolerance and growth fitness during adaptive evolution of yeast to ethanol shocks.Biotechnology for biofuels and bioproducts · 2024Article
- Whole-genome duplication in the Multicellularity Long Term Evolution Experiment.bioRxiv : the preprint server for biology · 2024Article
- Recombination, admixture and genome instability shape the genomic landscape of Saccharomyces cerevisiae derived from spontaneous grape ferments.PLoS genetics · 2024Article
- New biomarkers underlying acetic acid tolerance in the probiotic yeast Saccharomyces cerevisiae var. boulardii.Applied microbiology and biotechnology · 2024Article
- Have you tried turning it off and on again? Oscillating selection to enhance fitness-landscape traversal in adaptive laboratory evolution experiments.Metabolic engineering communications · 2023Review
- Ethanol tolerance in engineered strains of Clostridium thermocellum.Biotechnology for biofuels and bioproducts · 2023Article
- Contributions of Adaptive Laboratory Evolution towards the Enhancement of the Biotechnological Potential of Non-Conventional Yeast Species.Journal of fungi (Basel, Switzerland) · 2023Review
33 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tolerance to high levels of ethanol is an ecologically and industrially relevant phenotype of microbes, but the molecular mechanisms underlying this complex trait remain largely unknown. Here, we use long-term experimental evolution of isogenic yeast populations of different initial ploidy to study adaptation to increasing levels of ethanol. Whole-genome sequencing of more than 30 evolved populations and over 100 adapted clones isolated throughout this two-year evolution experiment revealed how a complex interplay of de novo single nucleotide mutations, copy number variation, ploidy changes, mutator phenotypes, and clonal interference led to a significant increase in ethanol tolerance. Although the specific mutations differ between different evolved lineages, application of a novel computational pipeline, PheNetic, revealed that many mutations target functional modules involved in stress response, cell cycle regulation, DNA repair and respiration. Measuring the fitness effects of selected mutations introduced in non-evolved ethanol-sensitive cells revealed several adaptive mutations that had previously not been implicated in ethanol tolerance, including mutations in PRT1, VPS70 and MEX67. Interestingly, variation in VPS70 was recently identified as a QTL for ethanol tolerance in an industrial bio-ethanol strain. Taken together, our results show how, in contrast to adaptation to some other stresses, adaptation to a continuous complex and severe stress involves interplay of different evolutionary mechanisms. In addition, our study reveals functional modules involved in ethanol resistance and identifies several mutations that could help to improve the ethanol tolerance of industrial yeasts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.