Evidence map›Paper›PMID 24909922›Full record

ReviewEnvironmental microbiology2015

Molecular mechanisms involved in Bacillus subtilis biofilm formation.

Benjamin Mielich-Süss, Daniel Lopez

Abstract readReview
In one paragraph

Review in Environmental microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing 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

90 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Marine-DerivedMicroorganisms · 2026
    Article
  7. Effect of Combining a Prebiotic (Autolyzed Yeast fromAnimals : an open access journal from MDPI · 2026
    Article
  8. Article
  9. Article
  10. Flagellum-driven motility enhancesApplied and environmental microbiology · 2025
    Article
  11. Article
  12. The extracytoplasmic sigma factor σScientific reports · 2025
    Article
  13. Review
  14. Differential expression of theApplied and environmental microbiology · 2024
    Article
  15. Effects ofAnimals : an open access journal from MDPI · 2024
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review

30 more citing papers are in PubMed but not listed here.

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

2 authors.

Benjamin Mielich-SüssResearch Centre for Infectious Diseases (ZINF), University of Würzburg, Josef-Schneider-Straße 2/Bau D15, 97080, Würzburg, Germany.
Daniel Lopez

Funding

European Research Council 335568
6 · The paper itself

Abstract

Biofilms are the predominant lifestyle of bacteria in natural environments, and they severely impact our societies in many different fashions. Therefore, biofilm formation is a topic of growing interest in microbiology, and different bacterial models are currently studied to better understand the molecular strategies that bacteria undergo to build biofilms. Among those, biofilms of the soil-dwelling bacterium Bacillus subtilis are commonly used for this purpose. Bacillus subtilis biofilms show remarkable architectural features that are a consequence of sophisticated programmes of cellular specialization and cell-cell communication within the community. Many laboratories are trying to unravel the biological role of the morphological features of biofilms, as well as exploring the molecular basis underlying cellular differentiation. In this review, we present a general perspective of the current state of knowledge of biofilm formation in B. subtilis and thereby placing a special emphasis on summarizing the most recent discoveries in the field.

Indexed as

Bacillus subtilisBiofilmsSignal Transduction

Identifiers

PMID24909922
PMCPMC4188541

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.