Evidence map›Paper›PMID 27257812›Full record

ArticlePLoS computational biology2016

The Role of Adaptation in Bacterial Speed Races.

Jérôme Wong-Ng, Anna Melbinger, Antonio Celani, Massimo Vergassola

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.3field-weighted citation impact, top 6% of its field
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

18 citing papers in PubMed, 36 citations in OpenAlex.

  1. Growth-dependent sensory bet-hedging enhances collective navigation.bioRxiv : the preprint server for biology · 2026
    Article
  2. ChemotaxingArXiv · 2025
    Article
  3. ChemotaxingbioRxiv : the preprint server for biology · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. A traveling-wave solution for bacterial chemotaxis with growth.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Drift and Behavior of E. coli Cells.Biophysical journal · 2017
    Article
  17. Article
  18. Natural search algorithms as a bridge between organisms, evolution, and ecology.Proceedings of the National Academy of Sciences of the United States of America · 2016
    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 at 2 institutions in 2 countries.

Jérôme Wong-NgUniversity of California San Diego, Department of Physics, La Jolla, California, United States of America.
Anna MelbingerUniversity of California San Diego, Department of Physics, La Jolla, California, United States of America.ORCID 0000-0002-3694-7621
Antonio CelaniThe Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy.
Massimo VergassolaUniversity of California San Diego, Department of Physics, La Jolla, California, United States of America.
University of California San Diego · USThe Abdus Salam International Centre for Theoretical Physics (ICTP) · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolution of biological sensory systems is driven by the need for efficient responses to environmental stimuli. A paradigm among prokaryotes is the chemotaxis system, which allows bacteria to navigate gradients of chemoattractants by biasing their run-and-tumble motion. A notable feature of chemotaxis is adaptation: after the application of a step stimulus, the bacterial running time relaxes to its pre-stimulus level. The response to the amino acid aspartate is precisely adapted whilst the response to serine is not, in spite of the same pathway processing the signals preferentially sensed by the two receptors Tar and Tsr, respectively. While the chemotaxis pathway in E. coli is well characterized, the role of adaptation, its functional significance and the ecological conditions where chemotaxis is selected, are largely unknown. Here, we investigate the role of adaptation in the climbing of gradients by E. coli. We first present theoretical arguments that highlight the mechanisms that control the efficiency of the chemotactic up-gradient motion. We discuss then the limitations of linear response theory, which motivate our subsequent experimental investigation of E. coli speed races in gradients of aspartate, serine and combinations thereof. By using microfluidic techniques, we engineer controlled gradients and demonstrate that bacterial fronts progress faster in equal-magnitude gradients of serine than aspartate. The effect is observed over an extended range of concentrations and is not due to differences in swimming velocities. We then show that adding a constant background of serine to gradients of aspartate breaks the adaptation to aspartate, which results in a sped-up progression of the fronts and directly illustrate the role of adaptation in chemotactic gradient-climbing.

Indexed as

Models, BiologicalAdaptation, PhysiologicalAspartic AcidChemotactic FactorsChemotaxisComputational BiologyEscherichia coliSerineAspartic AcidChemotactic FactorsSerine

Identifiers

PMID27257812
PMCPMC4892596
OpenAlexW2415805207

What OpenQuestion holds

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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.