Evidence map›Paper›PMID 27572163›Full record

ArticleNature microbiology2016

The metabolic background is a global player in Saccharomyces gene expression epistasis.

Mohammad Tauqeer Alam, Aleksej Zelezniak, Michael Mülleder, Pavel Shliaha, Roland Schwarz, Floriana Capuano, Jakob Vowinckel, Elahe Radmanesfahar, Antje Krüger, Enrica Calvani and 7 more

Abstract read
In one paragraph

Article in Nature microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

53 citing papers in PubMed, 91 citations in OpenAlex.

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  9. 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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  18. Give and take in the exometabolome.Nature microbiology · 2022
    Article
  19. Article
  20. Saccharomyces cerevisiae as a Heterologous Host for Natural Products.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 6 institutions in 4 countries.

Mohammad Tauqeer Alam *Department of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, 80 Tennis Court Rd, Cambridge, United Kingdom.
Aleksej Zelezniak *Department of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, 80 Tennis Court Rd, Cambridge, United Kingdom.
Michael Mülleder *Department of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, 80 Tennis Court Rd, Cambridge, United Kingdom.
Pavel ShliahaDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, 80 Tennis Court Rd, Cambridge, United Kingdom.
Roland SchwarzEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, United Kingdom.
Floriana CapuanoDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, 80 Tennis Court Rd, Cambridge, United Kingdom.
Jakob VowinckelDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, 80 Tennis Court Rd, Cambridge, United Kingdom.
Elahe RadmanesfaharDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, 80 Tennis Court Rd, Cambridge, United Kingdom.
Antje KrügerMax Planck Institute for Molecular Genetics, Ihnestrasse 73, Berlin, Germany.
Enrica CalvaniDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, 80 Tennis Court Rd, Cambridge, United Kingdom.
Steve MichelMax Planck Institute for Molecular Genetics, Ihnestrasse 73, Berlin, Germany.
Stefan BörnoMax Planck Institute for Molecular Genetics, Ihnestrasse 73, Berlin, Germany.
Stefan ChristenDepartment of Molecular Systems Biology, Eidgenoessische Technische Hochschule, Zurich, Switzerland.
Kiran Raosaheb PatilEuropean Molecular Biology Laboratory, EMBL, Heidelberg, Germany.
Bernd TimmermannMax Planck Institute for Molecular Genetics, Ihnestrasse 73, Berlin, Germany.
Kathryn S LilleyDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, 80 Tennis Court Rd, Cambridge, United Kingdom.
Markus RalserDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, 80 Tennis Court Rd, Cambridge, United Kingdom.
University of Cambridge · GBMax Planck Institute for Molecular Genetics · DEBoard of the Swiss Federal Institutes of Technology · CHEuropean Bioinformatics Institute · GBEuropean Molecular Biology Laboratory · DEThe Francis Crick Institute · GB

Funding

European Research Council 260809Wellcome Trust 093735Wellcome Trust FC001134
6 · The paper itself

Abstract

The regulation of gene expression in response to nutrient availability is fundamental to the genotype-phenotype relationship. The metabolic-genetic make-up of the cell, as reflected in auxotrophy, is hence likely to be a determinant of gene expression. Here, we address the importance of the metabolic-genetic background by monitoring transcriptome, proteome and metabolome in a repertoire of 16 Saccharomyces cerevisiae laboratory backgrounds, combinatorially perturbed in histidine, leucine, methionine and uracil biosynthesis. The metabolic background affected up to 85% of the coding genome. Suggesting widespread confounding, these transcriptional changes show, on average, 83% overlap between unrelated auxotrophs and 35% with previously published transcriptomes generated for non-metabolic gene knockouts. Background-dependent gene expression correlated with metabolic flux and acted, predominantly through masking or suppression, on 88% of transcriptional interactions epistatically. As a consequence, the deletion of the same metabolic gene in a different background could provoke an entirely different transcriptional response. Propagating to the proteome and scaling up at the metabolome, metabolic background dependencies reveal the prevalence of metabolism-dependent epistasis at all regulatory levels. Urging a fundamental change of the prevailing laboratory practice of using auxotrophs and nutrient supplemented media, these results reveal epistatic intertwining of metabolism with gene expression on the genomic scale.

Indexed as

Epistasis, GeneticGene Expression Regulation, FungalMetabolismGene Regulatory NetworksSaccharomyces cerevisiae

Identifiers

PMID27572163
PMCPMC5131842
OpenAlexW2256126804

What OpenQuestion holds

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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.