ArticleGenetics2012
Transcriptional regulation and the diversification of metabolism in wine yeast strains.
Article in Genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Uncorking wine yeast genomics from grape to glass.FEMS yeast research · 2026Review
- Influence ofFood chemistry. Molecular sciences · 2025Article
- TimesVector-Web: A Web Service for Analysing Time Course Transcriptome Data with Multiple Conditions.Genes · 2021Article
- Different Wines from Different Yeasts? "Microorganisms · 2021Article
- Comparative transcriptional analysis of flavour-biosynthetic genes of a nativeJournal of biological research (Thessalonike, Greece) · 2019Article
- QTL mapping of volatile compound production in Saccharomyces cerevisiae during alcoholic fermentation.BMC genomics · 2018Article
- Key role of lipid management in nitrogen and aroma metabolism in an evolved wine yeast strain.Microbial cell factories · 2016Article
- Genomic expression program of Saccharomyces cerevisiae along a mixed-culture wine fermentation with Hanseniaspora guilliermondii.Microbial cell factories · 2015Article
- Article
- Genetic architecture of ethanol-responsive transcriptome variation in Saccharomyces cerevisiae strains.Genetics · 2014Article
- Flavour-active wine yeasts.Applied microbiology and biotechnology · 2012Review
- QTL mapping of the production of wine aroma compounds by yeast.BMC genomics · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transcription factors and their binding sites have been proposed as primary targets of evolutionary adaptation because changes to single transcription factors can lead to far-reaching changes in gene expression patterns. Nevertheless, there is very little concrete evidence for such evolutionary changes. Industrial wine yeast strains, of the species Saccharomyces cerevisiae, are a geno- and phenotypically diverse group of organisms that have adapted to the ecological niches of industrial winemaking environments and have been selected to produce specific styles of wine. Variation in transcriptional regulation among wine yeast strains may be responsible for many of the observed differences and specific adaptations to different fermentative conditions in the context of commercial winemaking. We analyzed gene expression profiles of wine yeast strains to assess the impact of transcription factor expression on metabolic networks. The data provide new insights into the molecular basis of variations in gene expression in industrial strains and their consequent effects on metabolic networks important to wine fermentation. We show that the metabolic phenotype of a strain can be shifted in a relatively predictable manner by changing expression levels of individual transcription factors, opening opportunities to modify transcription networks to achieve desirable outcomes.
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.