Evidence map›Paper›PMID 24987115›Full record

ArticleMolecular systems biology2014

Phenotypic bistability in Escherichia coli's central carbon metabolism.

Oliver Kotte, Benjamin Volkmer, Jakub L Radzikowski, Matthias Heinemann

Abstract read
In one paragraph

Article in Molecular systems biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
140citing papers in PubMed, 1 pooled it
–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

140 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
  4. A Ratiometric pH Sensor for Gram-Positive and Gram-Negative Bacteria.Journal of the American Chemical Society · 2026
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  16. (p)ppGpp mediates persister formation inFrontiers in microbiology · 2025
    Article
  17. Article
  18. Review
  19. Article
  20. Article

80 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Oliver KotteInstitute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Benjamin VolkmerInstitute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Jakub L RadzikowskiMolecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands.
Matthias HeinemannInstitute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands m.heinemann@rug.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluctuations in intracellular molecule abundance can lead to distinct, coexisting phenotypes in isogenic populations. Although metabolism continuously adapts to unpredictable environmental changes, and although bistability was found in certain substrate-uptake pathways, central carbon metabolism is thought to operate deterministically. Here, we combine experiment and theory to demonstrate that a clonal Escherichia coli population splits into two stochastically generated phenotypic subpopulations after glucose-gluconeogenic substrate shifts. Most cells refrain from growth, entering a dormant persister state that manifests as a lag phase in the population growth curve. The subpopulation-generating mechanism resides at the metabolic core, overarches the metabolic and transcriptional networks, and only allows the growth of cells initially achieving sufficiently high gluconeogenic flux. Thus, central metabolism does not ensure the gluconeogenic growth of individual cells, but uses a population-level adaptation resulting in responsive diversification upon nutrient changes.

Indexed as

Adaptation, PhysiologicalAnti-Bacterial AgentsCarbonEscherichia coliEscherichia coli ProteinsGene Expression Regulation, BacterialGlucosePhenotypeStress, PhysiologicalAnti-Bacterial AgentsCarbonEscherichia coli ProteinsGlucosebistabilityflux sensingmetabolismnoisepersisters

Identifiers

PMID24987115
PMCPMC4299493

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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.