Evidence map›Paper›PMID 29194914›Full record

ReviewEnvironmental microbiology2018

Cell-cell recognition and social networking in bacteria.

Vera Troselj, Pengbo Cao, Daniel Wall

Open access · bronzeAbstract readReview
In one paragraph

Review in Environmental microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Microbial Interactions in Soil.Microorganisms · 2022
    Article
  5. Ecological drivers of division of labour in Streptomyces.Current opinion in microbiology · 2022
    Review
  6. A dialogue-like cell communication mechanism is conserved in filamentous ascomycete fungi and mediates interspecies interactions.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Self-identity barcodes encoded by six expansive polymorphic toxin families discriminate kin in myxobacteria.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  12. Article
  13. Article
  14. 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

3 authors at 1 institution in 1 country.

Vera TroseljDepartment of Molecular Biology, University of Wyoming, Laramie, Wyoming, USA.
Pengbo CaoDepartment of Molecular Biology, University of Wyoming, Laramie, Wyoming, USA.
Daniel WallDepartment of Molecular Biology, University of Wyoming, Laramie, Wyoming, USA.
University of Wyoming · US

Funding

Wyoming INBRE Phase 4- Equipment Supplement for x-ray diffractometer for Center for Advanced Scientific InstrumentationP20GM103432 · NIGMS · UNIVERSITY OF WYOMING · PI Nicolas A. Blouin · 2012 to 2026
$56.8M
Protein exchange and self recognition in myxobacteria biofilmsR01GM101449 · NIGMS · UNIVERSITY OF WYOMING · PI WALL, DANIEL · 2012 to 2020
$2.6M
NIGMS NIH HHS P20 GM103432NIGMS NIH HHS R01 GM101449
6 · The paper itself

Abstract

The ability to recognize self and to recognize partnering cells allows microorganisms to build social networks that perform functions beyond the capabilities of the individual. In bacteria, recognition typically involves genetic determinants that provide cell surface receptors or diffusible signalling chemicals to identify proximal cells at the molecular level that can participate in cooperative processes. Social networks also rely on discriminating mechanisms to exclude competing cells from joining and exploiting their groups. In addition to their appropriate genotypes, cell-cell recognition also requires compatible phenotypes, which vary according to environmental cues or exposures as well as stochastic processes that lead to heterogeneity and potential disharmony in the population. Understanding how bacteria identify their social partners and how they synchronize their behaviours to conduct multicellular functions is an expanding field of research. Here, we review recent progress in the field and contrast the various strategies used in recognition and behavioural networking.

Indexed as

BacteriaBacterial Physiological PhenomenaBiofilmsQuorum SensingReceptors, Cell SurfaceSignal TransductionReceptors, Cell Surface

Identifiers

PMID29194914
PMCPMC5874169
OpenAlexW2771516501

What OpenQuestion holds

Textmetadata
LicenceTDM
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.