Evidence map›Paper›PMID 37224262›Full record

ArticleScience advances2023

Environment-dependent epistasis increases phenotypic diversity in gene regulatory networks.

Florian Baier, Florence Gauye, Ruben Perez-Carrasco, Joshua L Payne, Yolanda Schaerli

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Using supervised machine-learning approaches to understand abiotic stress tolerance and design resilient crops.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  6. Article
  7. Article
  8. Bioengineering hybrid artificial life.Frontiers in bioinformatics · 2025
    Review
  9. Article
  10. Understanding developmental system drift.Development (Cambridge, England) · 2024
    Review
  11. Morphogens in the evolution of size, shape and patterning.Development (Cambridge, England) · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Two Distinct Regulatory Systems Control Pulcherrimin Biosynthesis inbioRxiv : the preprint server for biology · 2024
    Article
  16. Review
  17. Article
  18. 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.

Florian BaierDepartment of Fundamental Microbiology, University of Lausanne, Biophore Building, 1015 Lausanne, Switzerland.ORCID 0000-0002-1323-9833
Florence GauyeDepartment of Fundamental Microbiology, University of Lausanne, Biophore Building, 1015 Lausanne, Switzerland.ORCID 0000-0002-5564-7237
Ruben Perez-CarrascoDepartment of Life Sciences, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0001-5348-8829
Joshua L PayneInstitute of Integrative Biology, ETH Zurich, 8092 Zurich, Switzerland.ORCID 0000-0002-2978-8423
Yolanda SchaerliDepartment of Fundamental Microbiology, University of Lausanne, Biophore Building, 1015 Lausanne, Switzerland.ORCID 0000-0002-9083-7343

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations to gene regulatory networks can be maladaptive or a source of evolutionary novelty. Epistasis confounds our understanding of how mutations affect the expression patterns of gene regulatory networks, a challenge exacerbated by the dependence of epistasis on the environment. We used the toolkit of synthetic biology to systematically assay the effects of pairwise and triplet combinations of mutant genotypes on the expression pattern of a gene regulatory network expressed in

Indexed as

Epistasis, GeneticGene Regulatory NetworksBiological AssayEscherichia coliGenotypePhenotype

Identifiers

PMID37224262
PMCPMC10208579

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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.