Evidence map›Paper›PMID 23019066›Full record

ArticleGenome biology and evolution2012

Abundant gene-by-environment interactions in gene expression reaction norms to copper within Saccharomyces cerevisiae.

Andrea Hodgins-Davis, Aleksandra B Adomas, Jonas Warringer, Jeffrey P Townsend

Erratum issuedAbstract read
In one paragraph

Article in Genome biology and evolution, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

23 citing papers in PubMed.

  1. Species-wide quantitative transcriptomes and proteomes reveal distinct genetic control of gene expression variation in yeast.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  5. The somatic molecular evolution of cancer: Mutation, selection, and epistasis.Progress in biophysics and molecular biology · 2021
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  12. Role ofFrontiers in microbiology · 2017
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  15. Review
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  18. How do environmental factors influence life cycles and development? An experimental framework for early-diverging metazoans.BioEssays : news and reviews in molecular, cellular and developmental biology · 2014
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

4 authors.

Andrea Hodgins-DavisDepartment of Ecology and Evolutionary Biology, Yale University, USA.
Aleksandra B Adomas
Jonas Warringer
Jeffrey P Townsend

Funding

PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007499 · NIGMS · YALE UNIVERSITY · PI CARLSON, JOHN R, REINKE, VALERIE J · 1985 to 2022
$13.9M
NIGMS NIH HHS T32 GM007499
6 · The paper itself

Abstract

Genetic variation for plastic phenotypes potentially contributes phenotypic variation to populations that can be selected during adaptation to novel ecological contexts. However, the basis and extent of plastic variation that manifests in diverse environments remains elusive. Here, we characterize copper reaction norms for mRNA abundance among five Saccharomyces cerevisiae strains to 1) describe population variation across the full range of ecologically relevant copper concentrations, from starvation to toxicity, and 2) to test the hypothesis that plastic networks exhibit increased population variation for gene expression. We find that although the vast majority of the variation is small in magnitude (considerably <2-fold), not just some, but most genes demonstrate variable expression across environments, across genetic backgrounds, or both. Plastically expressed genes included both genes regulated directly by copper-binding transcription factors Mac1 and Ace1 and genes indirectly responding to the downstream metabolic consequences of the copper gradient, particularly genes involved in copper, iron, and sulfur homeostasis. Copper-regulated gene networks exhibited more similar behavior within the population in environments where those networks have a large impact on fitness. Nevertheless, expression variation in genes like Cup1, important to surviving copper stress, was linked with variation in mitotic fitness and in the breadth of differential expression across the genome. By revealing a broader and deeper range of population variation, our results provide further evidence for the interconnectedness of genome-wide mRNA levels, their dependence on environmental context and genetic background, and the abundance of variation in gene expression that can contribute to future evolution.

Indexed as

Gene-Environment InteractionCluster AnalysisCopperDNA-Binding ProteinsDose-Response Relationship, DrugGene Expression ProfilingGene Expression Regulation, FungalGenes, FungalGenetic VariationMetabolic Networks and PathwaysMicroarray AnalysisNuclear ProteinsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscription FactorsTranscriptomeCopperCUP2 protein, S cerevisiaeDNA-Binding ProteinsMAC1 protein, S cerevisiaeNuclear ProteinsSaccharomyces cerevisiae ProteinsTranscription Factors

Identifiers

PMID23019066
PMCPMC3514956

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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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 OpenQuestion graph.