Evidence map›Paper›PMID 29049387›Full record

ArticlePLoS computational biology2017

Quantifying the strength of quorum sensing crosstalk within microbial communities.

Kalinga Pavan T Silva, Prithiviraj Chellamuthu, James Q Boedicker

Abstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Phenotypic memory in quorum sensing.PLoS computational biology · 2024
    Article
  3. Crosstalk involving two-component systems inJournal of bacteriology · 2024
    Review
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  5. Article
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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.

Kalinga Pavan T SilvaDepartment of Physics and Astronomy, University of Southern California, Los Angeles, CA, United States of America.
Prithiviraj ChellamuthuDepartment of Physics and Astronomy, University of Southern California, Los Angeles, CA, United States of America.
James Q BoedickerDepartment of Physics and Astronomy, University of Southern California, Los Angeles, CA, United States of America.ORCID http://orcid.org/0000-0003-4107-3719

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In multispecies microbial communities, the exchange of signals such as acyl-homoserine lactones (AHL) enables communication within and between species of Gram-negative bacteria. This process, commonly known as quorum sensing, aids in the regulation of genes crucial for the survival of species within heterogeneous populations of microbes. Although signal exchange was studied extensively in well-mixed environments, less is known about the consequences of crosstalk in spatially distributed mixtures of species. Here, signaling dynamics were measured in a spatially distributed system containing multiple strains utilizing homologous signaling systems. Crosstalk between strains containing the lux, las and rhl AHL-receptor circuits was quantified. In a distributed population of microbes, the impact of community composition on spatio-temporal dynamics was characterized and compared to simulation results using a modified reaction-diffusion model. After introducing a single term to account for crosstalk between each pair of signals, the model was able to reproduce the activation patterns observed in experiments. We quantified the robustness of signal propagation in the presence of interacting signals, finding that signaling dynamics are largely robust to interference. The ability of several wild isolates to participate in AHL-mediated signaling was investigated, revealing distinct signatures of crosstalk for each species. Our results present a route to characterize crosstalk between species and predict systems-level signaling dynamics in multispecies communities.

Indexed as

Bacterial Physiological PhenomenaModels, BiologicalQuorum SensingAcyl-ButyrolactonesBacterial ProteinsGram-Negative BacteriaSignal TransductionAcyl-ButyrolactonesBacterial Proteins

Identifiers

PMID29049387
PMCPMC5663516

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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.