Evidence map›Paper›PMID 24970865›Full record

ArticleGenetics2014

Genetic architecture of ethanol-responsive transcriptome variation in Saccharomyces cerevisiae strains.

Jeffrey A Lewis, Aimee T Broman, Jessica Will, Audrey P Gasch

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 74 citations in OpenAlex.

  1. Article
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  7. Article
  8. Integrative Analysis of the Ethanol Tolerance ofInternational journal of molecular sciences · 2023
    Article
  9. Article
  10. Functional mining of novel terpene synthases from metagenomes.Biotechnology for biofuels and bioproducts · 2022
    Article
  11. Article
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  15. Article
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  19. Article
  20. Membrane Fluidity of Saccharomyces cerevisiae fromApplied and environmental microbiology · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Jeffrey A LewisDepartment of Biological Sciences, University of Arkansas, Fayetteville, Arkansas 72701 Laboratory of Genetics, University of Wisconsin, Madison, Wisconsin 53704 Great Lakes Bioenergy Research Center, University of Wisconsin, Madison, Wisconsin 53704.
Aimee T BromanDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, Wisconsin 53704.
Jessica WillLaboratory of Genetics, University of Wisconsin, Madison, Wisconsin 53704.
Audrey P GaschLaboratory of Genetics, University of Wisconsin, Madison, Wisconsin 53704 Great Lakes Bioenergy Research Center, University of Wisconsin, Madison, Wisconsin 53704 agasch@wisc.edu.
University of Wisconsin–Madison · USGreat Lakes Bioenergy Research Center · US

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
NCATS NIH HHS UL1 TR000427NCATS NIH HHS UL1TR000427
6 · The paper itself

Abstract

Natural variation in gene expression is pervasive within and between species, and it likely explains a significant fraction of phenotypic variation between individuals. Phenotypic variation in acute systemic responses can also be leveraged to reveal physiological differences in how individuals perceive and respond to environmental perturbations. We previously found extensive variation in the transcriptomic response to acute ethanol exposure in two wild isolates and a common laboratory strain of Saccharomyces cerevisiae. Many expression differences persisted across several modules of coregulated genes, implicating trans-acting systemic differences in ethanol sensing and/or response. Here, we conducted expression QTL mapping of the ethanol response in two strain crosses to identify the genetic basis for these differences. To understand systemic differences, we focused on "hotspot" loci that affect many transcripts in trans. Candidate causal regulators contained within hotspots implicate upstream regulators as well as downstream effectors of the ethanol response. Overlap in hotspot targets revealed additive genetic effects of trans-acting loci as well as "epi-hotspots," in which epistatic interactions between two loci affected the same suites of downstream targets. One epi-hotspot implicated interactions between Mkt1p and proteins linked to translational regulation, prompting us to show that Mkt1p localizes to P bodies upon ethanol stress in a strain-specific manner. Our results provide a glimpse into the genetic architecture underlying natural variation in a stress response and present new details on how yeast respond to ethanol stress.

Indexed as

Genetic VariationTranscriptomeEpistasis, GeneticEthanolGenome, FungalQuantitative Trait LociSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsEthanolMKT1 protein, S cerevisiaeSaccharomyces cerevisiae Proteinsenvironmental stresseQTL mappinggene expressionnatural variationSaccharomyces cerevisiae

Identifiers

PMID24970865
PMCPMC4174948
OpenAlexW2149055360

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.