Evidence map›Paper›PMID 28644830›Full record

ArticlePloS one2017

Optimal chemotactic responses in stochastic environments.

Martin Godány, Bhavin S Khatri, Richard A Goldstein

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Controlling pore-scale processes to tame subsurface biomineralization.Re/views in environmental science and bio/technology · 2022
    Review
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.

Martin GodányDivision of Infection & Immunity, University College London, London, United Kingdom.
Bhavin S KhatriDivision of Infection & Immunity, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-0312-336X
Richard A GoldsteinDivision of Infection & Immunity, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-5148-4672

Funding

Biotechnology and Biological Sciences Research Council BB/P007562/1Medical Research Council MC_PC_13056Medical Research Council MC_U117573805
6 · The paper itself

Abstract

Although the "adaptive" strategy used by Escherichia coli has dominated our understanding of bacterial chemotaxis, the environmental conditions under which this strategy emerged is still poorly understood. In this work, we study the performance of various chemotactic strategies under a range of stochastic time- and space-varying attractant distributions in silico. We describe a novel "speculator" response in which the bacterium compare the current attractant concentration to the long-term average; if it is higher then they tumble persistently, while if it is lower than the average, bacteria swim away in search of more favorable conditions. We demonstrate how this response explains the experimental behavior of aerobically-grown Rhodobacter sphaeroides and that under spatially complex but slowly-changing nutrient conditions the speculator response is as effective as the adaptive strategy of E. coli.

Indexed as

Models, BiologicalChemotaxisEscherichia coliInternetRhodobacter sphaeroidesSoftwareStochastic ProcessesSwimming

Identifiers

PMID28644830
PMCPMC5482444

What OpenQuestion holds

Textmetadata
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.