Evidence map›Paper›PMID 31413260›Full record

ArticleNature communications2019

Harmonious genetic combinations rewire regulatory networks and flip gene essentiality.

Aaron M New, Ben Lehner

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  4. Review
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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

2 authors.

Aaron M NewCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Dr. Aiguader 88, 08003, Barcelona, Spain.ORCID http://orcid.org/0000-0002-4097-1835
Ben LehnerCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Dr. Aiguader 88, 08003, Barcelona, Spain. ben.lehner@crg.eu.ORCID http://orcid.org/0000-0002-8817-1124

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We lack an understanding of how the full range of genetic variants that occur in individuals can interact. To address this shortcoming, here we combine diverse mutations between genes in a model regulatory network, the galactose (GAL) switch of budding yeast. The effects of thousands of pairs of mutations fall into a limited number of phenotypic classes. While these effects are mostly predictable using simple rules that capture the 'stereotypical' genetic interactions of the network, some double mutants have unexpected outcomes including constituting alternative functional switches. Each of these 'harmonious' genetic combinations exhibits altered dependency on other regulatory genes. These cases illustrate how both pairwise and higher epistasis determines gene essentiality and how combinations of mutations rewire regulatory networks. Together, our results provide an overview of how broad spectra of mutations interact, how these interactions can be predicted, and how diverse genetic solutions can achieve 'wild-type' phenotypic behavior.

Indexed as

DNA-Binding ProteinsEpistasis, GeneticGalactokinaseGalactoseGene Expression Regulation, FungalGene Regulatory NetworksMonosaccharide Transport ProteinsMutationRepressor ProteinsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSystems BiologyTrans-ActivatorsTranscription FactorsDNA-Binding ProteinsGAL10 protein, S cerevisiaeGAL1 protein, S cerevisiaeGAL2 protein, S cerevisiaeGal3 protein, S cerevisiaeGAL4 protein, S cerevisiaeGAL80 protein, S cerevisiaeGalactokinaseGalactoseMonosaccharide Transport ProteinsRepressor ProteinsSaccharomyces cerevisiae ProteinsTrans-ActivatorsTranscription Factors

Identifiers

PMID31413260
PMCPMC6694120

What OpenQuestion holds

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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.