Evidence map›Paper›PMID 39946496›Full record

ArticlePLoS computational biology2025

Bimodality in E. coli gene expression: Sources and robustness to genome-wide stresses.

Ines S C Baptista, Suchintak Dash, Amir M Arsh, Vinodh Kandavalli, Carlo Maria Scandolo, Barry C Sanders, Andre S Ribeiro

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. bioRxiv : the preprint server for biology · 2025
    Article
  2. 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

7 authors.

Ines S C BaptistaFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0001-7041-4135
Suchintak DashFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0003-2108-5448
Amir M ArshFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Vinodh KandavalliDepartment of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden.
Carlo Maria ScandoloDepartment of Mathematics & Statistics, University of Calgary, Calgary, Canada.ORCID 0000-0001-6972-4881
Barry C SandersInstitute for Quantum Science and Technology, University of Calgary, Calgary, Canada.
Andre S RibeiroFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0002-7255-5211

Funding

Discovery Launch SupplementFinnish Cultural FoundationJane and Aatos Erkko FoundationNatural Sciences and Engineering Research Council of Canada (NSERC)Sigrid Jusélius FoundationSuomalainen Tiedeakatemia
6 · The paper itself

Abstract

Bacteria evolved genes whose single-cell distributions of expression levels are broad, or even bimodal. Evidence suggests that they might enhance phenotypic diversity for coping with fluctuating environments. We identified seven genes in E. coli with bimodal (low and high) single-cell expression levels under standard growth conditions and studied how their dynamics are modified by environmental and antibiotic stresses known to target gene expression. We found that all genes lose bimodality under some, but not under all, stresses. Also, bimodality can reemerge upon cells returning to standard conditions, which suggests that the genes can switch often between high and low expression rates. As such, these genes could become valuable components of future multi-stable synthetic circuits. Next, we proposed models of bimodal transcription dynamics with realistic parameter values, able to mimic the outcome of the perturbations studied. We explored several models' tunability and boundaries of parameter values, beyond which it shifts to unimodal dynamics. From the model results, we predict that bimodality is robust, and yet tunable, not only by RNA and protein degradation rates, but also by the fraction of time that promoters remain unavailable for new transcription events. Finally, we show evidence that, although the empirical expression levels are influenced by many factors, the bimodality emerges during transcription initiation, at the promoter regions and, thus, may be evolvable and adaptable.

Indexed as

Escherichia coliGene Expression Regulation, BacterialGenome, BacterialStress, PhysiologicalComputational BiologyEscherichia coli ProteinsModels, GeneticTranscription, GeneticEscherichia coli Proteins

Identifiers

PMID39946496
PMCPMC11825099

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.