Evidence map›Paper›PMID 39514668›Full record

ArticleScience advances2024

Progressive decline in old pole gene expression signal enhances phenotypic heterogeneity in bacteria.

Audrey M Proenca, Murat Tuğrul, Arpita Nath, Ulrich K Steiner

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. A link between aging and persistence.Antimicrobial agents and chemotherapy · 2025
    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

4 authors.

Audrey M ProencaInstitute of Biology, Evolutionary Demography Group, Freie Universität Berlin, Königin-Luise-Str. 1-3, 14195 Berlin, Germany.ORCID 0000-0002-3747-9719
Murat TuğrulInstitute of Biology, Evolutionary Demography Group, Freie Universität Berlin, Königin-Luise-Str. 1-3, 14195 Berlin, Germany.ORCID 0000-0002-8523-0758
Arpita NathInstitute of Biology, Evolutionary Demography Group, Freie Universität Berlin, Königin-Luise-Str. 1-3, 14195 Berlin, Germany.ORCID 0000-0002-7173-0671
Ulrich K SteinerInstitute of Biology, Evolutionary Demography Group, Freie Universität Berlin, Königin-Luise-Str. 1-3, 14195 Berlin, Germany.ORCID 0000-0002-1778-5989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell growth and gene expression are heterogeneous processes at the single-cell level, leading to the emergence of multiple physiological states within bacterial populations. Aging is a known deterministic driver of growth asymmetry; however, its role in gene expression heterogeneity remains elusive. Here, we show that aging mother cells undergo a progressive decline in old pole activity, generating asymmetry in protein partitioning, gene expression, and cell morphology. We demonstrate that mother cells, when compared to their daughters, exhibit lower product inheritance and gene expression rates independently of promoter dynamics. The declining activity of maternal old poles generates gene expression gradients that manifest as mother-daughter asymmetry upon division, showing that asymmetry is progressively built over time within the maternal intracellular environment. Moreover, old pole aging correlates with a gradual increase in cell length, leading to morphological asymmetry. These findings provide further evidence for aging as a mechanism to enhance phenotypic heterogeneity in bacterial populations, with possible consequences for stress response and survival.

Indexed as

Gene Expression Regulation, BacterialPhenotypeBacteriaCell DivisionEscherichia coliPromoter Regions, Genetic

Identifiers

PMID39514668
PMCPMC11546803

What OpenQuestion holds

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LicenceCC BY-NC
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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.