Evidence map›Paper›PMID 19096502›Full record

ArticlePLoS computational biology2008

Dependence of bacterial chemotaxis on gradient shape and adaptation rate.

Nikita Vladimirov, Linda Løvdok, Dirk Lebiedz, Victor Sourjik

Abstract read
In one paragraph

Article in PLoS computational biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. A Multi-Scale Approach to ModelingEntropy (Basel, Switzerland) · 2020
    Article
  13. Article
  14. Effective Exploration Behavior for Chemical-Sensing Robots.Biomimetics (Basel, Switzerland) · 2019
    Article
  15. Blue Light Is a Universal Signal forJournal of bacteriology · 2019
    Article
  16. Article
  17. A hydrodynamic-stochastic model of chemotactic ciliated microorganisms.The European physical journal. E, Soft matter · 2019
    Article
  18. Review
  19. Article
  20. Drift and Behavior of E. coli Cells.Biophysical journal · 2017
    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.

Nikita VladimirovInterdisziplinäres Zentrum für Wissenschaftliches Rechnen, University of Heidelberg, Heidelberg, Germany. nikita.vladimirov@gmail.com
Linda Løvdok
Dirk Lebiedz
Victor Sourjik

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simulation of cellular behavior on multiple scales requires models that are sufficiently detailed to capture central intracellular processes but at the same time enable the simulation of entire cell populations in a computationally cheap way. In this paper we present RapidCell, a hybrid model of chemotactic Escherichia coli that combines the Monod-Wyman-Changeux signal processing by mixed chemoreceptor clusters, the adaptation dynamics described by ordinary differential equations, and a detailed model of cell tumbling. Our model dramatically reduces computational costs and allows the highly efficient simulation of E. coli chemotaxis. We use the model to investigate chemotaxis in different gradients, and suggest a new, constant-activity type of gradient to systematically study chemotactic behavior of virtual bacteria. Using the unique properties of this gradient, we show that optimal chemotaxis is observed in a narrow range of CheA kinase activity, where concentration of the response regulator CheY-P falls into the operating range of flagellar motors. Our simulations also confirm that the CheB phosphorylation feedback improves chemotactic efficiency by shifting the average CheY-P concentration to fit the motor operating range. Our results suggest that in liquid media the variability in adaptation times among cells may be evolutionary favorable to ensure coexistence of subpopulations that will be optimally tactic in different gradients. However, in a porous medium (agar) such variability appears to be less important, because agar structure poses mainly negative selection against subpopulations with low levels of adaptation enzymes. RapidCell is available from the authors upon request.

Indexed as

Models, BiologicalAdaptation, PhysiologicalCell Culture TechniquesChemotaxisComputer SimulationEscherichia coli

Identifiers

PMID19096502
PMCPMC2588534

What OpenQuestion holds

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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.