Evidence map›Paper›PMID 20212527›Full record

ArticleMolecular systems biology2010

Bacterial adaptation through distributed sensing of metabolic fluxes.

Oliver Kotte, Judith B Zaugg, Matthias Heinemann

Abstract read
In one paragraph

Article in Molecular systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers.

0numbers the graph read from it
0cells of the map it votes in
115citing 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

115 citing papers in PubMed.

  1. Review
  2. Glucose repression ofbioRxiv : the preprint server for biology · 2026
    Article
  3. The return of metabolism: biochemistry and physiology of glycolysis.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Building the Bacterial Divisome at the Septum.Sub-cellular biochemistry · 2024
    Review
  15. Review
  16. Review
  17. Regulation of phosphate starvation-specific responses inMicrobiology (Reading, England) · 2023
    Review
  18. What remains from living cells in bacterial lysate-based cell-free systems.Computational and structural biotechnology journal · 2023
    Review
  19. Article
  20. Article

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

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

3 authors.

Oliver KotteInstitute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Judith B Zaugg
Matthias Heinemann

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recognition of carbon sources and the regulatory adjustments to recognized changes are of particular importance for bacterial survival in fluctuating environments. Despite a thorough knowledge base of Escherichia coli's central metabolism and its regulation, fundamental aspects of the employed sensing and regulatory adjustment mechanisms remain unclear. In this paper, using a differential equation model that couples enzymatic and transcriptional regulation of E. coli's central metabolism, we show that the interplay of known interactions explains in molecular-level detail the system-wide adjustments of metabolic operation between glycolytic and gluconeogenic carbon sources. We show that these adaptations are enabled by an indirect recognition of carbon sources through a mechanism we termed distributed sensing of intracellular metabolic fluxes. This mechanism uses two general motifs to establish flux-signaling metabolites, whose bindings to transcription factors form flux sensors. As these sensors are embedded in global feedback loop architectures, closed-loop self-regulation can emerge within metabolism itself and therefore, metabolic operation may adapt itself autonomously (not requiring upstream sensing and signaling) to fluctuating carbon sources.

Indexed as

Adaptation, PhysiologicalCarbonEscherichia coliFeedback, PhysiologicalKineticsModels, BiologicalSignal TransductionTranscription FactorsCarbonTranscription Factors

Identifiers

PMID20212527
PMCPMC2858440

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.