Evidence map›Paper›PMID 29130883›Full record

ArticleeLife2017

Regulatory network structure determines patterns of intermolecular epistasis.

Mato Lagator, Srdjan Sarikas, Hande Acar, Jonathan P Bollback, Călin C Guet

Abstract read
In one paragraph

Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
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  11. Review
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  13. The causes of evolvability and their evolution.Nature reviews. Genetics · 2019
    Review
  14. 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

5 authors.

Mato LagatorInstitute of Science and Technology Austria, Klosterneuburg, Austria.ORCID http://orcid.org/0000-0001-7847-3594
Srdjan SarikasInstitute of Science and Technology Austria, Klosterneuburg, Austria.
Hande AcarInstitute of Science and Technology Austria, Klosterneuburg, Austria.ORCID http://orcid.org/0000-0003-1986-9753
Jonathan P BollbackInstitute of Science and Technology Austria, Klosterneuburg, Austria.ORCID https://orcid.org/0000-0002-4624-4612
Călin C GuetInstitute of Science and Technology Austria, Klosterneuburg, Austria.ORCID http://orcid.org/0000-0001-6220-2052

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most phenotypes are determined by molecular systems composed of specifically interacting molecules. However, unlike for individual components, little is known about the distributions of mutational effects of molecular systems as a whole. We ask how the distribution of mutational effects of a transcriptional regulatory system differs from the distributions of its components, by first independently, and then simultaneously, mutating a transcription factor and the associated promoter it represses. We find that the system distribution exhibits increased phenotypic variation compared to individual component distributions - an effect arising from intermolecular epistasis between the transcription factor and its DNA-binding site. In large part, this epistasis can be qualitatively attributed to the structure of the transcriptional regulatory system and could therefore be a common feature in prokaryotes. Counter-intuitively, intermolecular epistasis can alleviate the constraints of individual components, thereby increasing phenotypic variation that selection could act on and facilitating adaptive evolution.

Indexed as

Biological Variation, PopulationEpistasis, GeneticMutationPromoter Regions, GeneticDNA-Directed RNA PolymerasesMutant ProteinsRepressor ProteinsSigma FactorViral Regulatory and Accessory ProteinsDNA-Directed RNA PolymerasesMutant Proteinsphage repressor proteinsRepressor ProteinsRNA polymerase sigma 70Sigma FactorViral Regulatory and Accessory Proteinsdistributions of mutational effectsE. coliepistasisevolutionary biologygene regulationgenomics

Identifiers

PMID29130883
PMCPMC5699867

What OpenQuestion holds

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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.