Evidence map›Paper›PMID 27966657›Full record

ArticleScientific reports2016

Modeling quorum sensing trade-offs between bacterial cell density and system extension from open boundaries.

Mattia Marenda, Marina Zanardo, Antonio Trovato, Flavio Seno, Andrea Squartini

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Chaos in synthetic microbial communities.PLoS computational biology · 2022
    Article
  4. Article
  5. Article
  6. Analysis of the Interaction betweenPlants (Basel, Switzerland) · 2020
    Article
  7. Article
  8. Review
  9. 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

5 authors at 2 institutions in 1 country.

Mattia MarendaSISSA, International School for Advanced studies, via Bonomea 265, 34136 Trieste, Italy.
Marina ZanardoDepartment of Agronomy, Animals, Food, Natural resources and Environment DAFNAE, Università di Padova, Viale dell'Università 16, 35020 Legnaro (Padova) Italy.
Antonio TrovatoDepartment of Physics and Astronomy "Galileo Galilei" Università di Padova, Via Marzolo 8, 35131 Padova Italy.
Flavio SenoDepartment of Physics and Astronomy "Galileo Galilei" Università di Padova, Via Marzolo 8, 35131 Padova Italy.
Andrea SquartiniDepartment of Agronomy, Animals, Food, Natural resources and Environment DAFNAE, Università di Padova, Viale dell'Università 16, 35020 Legnaro (Padova) Italy.
University of Padua · ITScuola Internazionale Superiore di Studi Avanzati · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial communities undergo collective behavioural switches upon producing and sensing diffusible signal molecules; a mechanism referred to as Quorum Sensing (QS). Exemplarily, biofilm organic matrices are built concertedly by bacteria in several environments. QS scope in bacterial ecology has been debated for over 20 years. Different perspectives counterpose the role of density reporter for populations to that of local environment diffusivity probe for individual cells. Here we devise a model system where tubes of different heights contain matrix-embedded producers and sensors. These tubes allow non-limiting signal diffusion from one open end, thereby showing that population spatial extension away from an open boundary can be a main critical factor in QS. Experimental data, successfully recapitulated by a comprehensive mathematical model, demonstrate how tube height can overtake the role of producer density in triggering sensor activation. The biotic degradation of the signal is found to play a major role and to be species-specific and entirely feedback-independent.

Indexed as

Quorum SensingBacteriaBacteriological TechniquesModels, BiologicalSpatial Analysis

Identifiers

PMID27966657
PMCPMC5155435
OpenAlexW2561541979

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.