Evidence map›Paper›PMID 36045575›Full record

ArticleBiophysical journal2022

Steady-state running rate sets the speed and accuracy of accumulation of swimming bacteria.

Margaritis Voliotis, Jerko Rosko, Teuta Pilizota, Tanniemola B Liverpool

Open access · hybridAbstract read
In one paragraph

Article in Biophysical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 92% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 4 institutions in 1 country.

Margaritis VoliotisCollege of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom. Electronic address: m.voliotis@exeter.ac.uk.
Jerko RoskoSchool of Life Sciences, University of Warwick, Coventry, United Kingdom.
Teuta PilizotaCentre for Synthetic and Systems Biology, University of Edinburgh, Edinburgh, United Kingdom. Electronic address: teuta.pilizota@ed.ac.uk.
Tanniemola B LiverpoolSchool of Mathematics, University of Bristol, Bristol, United Kingdom; BrisSynBio, Life Sciences Building, University of Bristol, Bristol, United Kingdom. Electronic address: t.liverpool@bristol.ac.uk.
University of Bristol · GBUniversity of Edinburgh · GBUniversity of Exeter · GBUniversity of Warwick · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L01386X/1
6 · The paper itself

Abstract

We study the chemotaxis of a population of genetically identical swimming bacteria undergoing run and tumble dynamics driven by stochastic switching between clockwise and counterclockwise rotation of the flagellar rotary system, where the steady-state rate of the switching changes in different environments. Understanding chemotaxis quantitatively requires that one links the measured steady-state switching rates of the rotary system, as well as the directional changes of individual swimming bacteria in a gradient of chemoattractant/repellant, to the efficiency of a population of bacteria in moving up/down the gradient. Here we achieve this by using a probabilistic model, parametrized with our experimental data, and show that the response of a population to the gradient is complex. We find the changes to the steady-state switching rate in the absence of gradients affect the average speed of the swimming bacterial population response as well as the width of the distribution. Both must be taken into account when optimizing the overall response of the population in complex environments.

Indexed as

FlagellaRunningBacteriaChemotactic FactorsChemotaxisModels, BiologicalSwimmingChemotactic Factors

Identifiers

PMID36045575
PMCPMC9515231
OpenAlexW4293723385

What OpenQuestion holds

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LicenceCC BY
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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.