Evidence map›Paper›PMID 25030384›Full record

ArticleJournal of the Royal Society, Interface2014

Fast, high-throughput measurement of collective behaviour in a bacterial population.

R Colin, R Zhang, L G Wilson

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  6. Role of a single MCP in evolutionary adaptation ofApplied and environmental microbiology · 2025
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  7. Article
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  9. Direct measurement of dynamic attractant gradients reveals breakdown of the Patlak-Keller-Segel chemotaxis model.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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.

R ColinThe Rowland Institute at Harvard, 100 Edwin H. Land Boulevard, Cambridge, MA 02142, USA remy.colin@synmikro.mpi-marburg.mpg.de.ORCID http://orcid.org/0000-0001-9051-8003
R ZhangDepartment of Physics, University of Science and Technology of China, Hefei, Anhui 230026, People's Republic of China.
L G WilsonThe Rowland Institute at Harvard, 100 Edwin H. Land Boulevard, Cambridge, MA 02142, USA laurence.wilson@york.ac.uk.ORCID http://orcid.org/0000-0001-6659-6001

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Swimming bacteria explore their environment by performing a random walk, which is biased in response to, for example, chemical stimuli, resulting in a collective drift of bacterial populations towards 'a better life'. This phenomenon, called chemotaxis, is one of the best known forms of collective behaviour in bacteria, crucial for bacterial survival and virulence. Both single-cell and macroscopic assays have investigated bacterial behaviours. However, theories that relate the two scales have previously been difficult to test directly. We present an image analysis method, inspired by light scattering, which measures the average collective motion of thousands of bacteria simultaneously. Using this method, a time-varying collective drift as small as 50 nm s(-1) can be measured. The method, validated using simulations, was applied to chemotactic Escherichia coli bacteria in linear gradients of the attractant α-methylaspartate. This enabled us to test a coarse-grained minimal model of chemotaxis. Our results clearly map the onset of receptor methylation, and the transition from linear to logarithmic sensing in the bacterial response to an external chemoeffector. Our method is broadly applicable to problems involving the measurement of collective drift with high time resolution, such as cell migration and fluid flows measurements, and enables fast screening of tactic behaviours.

Indexed as

Bacterial Physiological PhenomenaChemotaxisAlgorithmsComputer SimulationEscherichia coliImage Processing, Computer-AssistedLigandsLightMethylationModels, BiologicalScattering, RadiationSignal TransductionSoftwareVideo RecordingLigandsbacterial chemotaxiscollective motionFourier image analysis

Identifiers

PMID25030384
PMCPMC4233697

What OpenQuestion holds

Textmetadata
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.