Evidence map›Paper›PMID 26979871›Full record

ArticleBMC genomics2016

Transcriptional profiling of Klebsiella pneumoniae defines signatures for planktonic, sessile and biofilm-dispersed cells.

Cyril Guilhen, Nicolas Charbonnel, Nicolas Parisot, Nathalie Gueguen, Agnès Iltis, Christiane Forestier, Damien Balestrino

Abstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Matrix porosity is associated withbioRxiv : the preprint server for biology · 2024
    Article
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  9. Review
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  11. Review
  12. Article
  13. Article
  14. Article
  15. Transcriptional profilingMicrobiology (Reading, England) · 2023
    Article
  16. Article
  17. Polymicrobial Biofilm Organization ofInternational journal of molecular sciences · 2022
    Article
  18. Review
  19. Review
  20. Frontiers in cellular and infection microbiology · 2022
    Review
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

7 authors.

Cyril GuilhenLaboratoire Microorganismes: Génome Environnement, UMR CNRS 6023, Université d'Auvergne, Clermont Ferrand, F-63001, France.
Nicolas CharbonnelLaboratoire Microorganismes: Génome Environnement, UMR CNRS 6023, Université d'Auvergne, Clermont Ferrand, F-63001, France.
Nicolas ParisotUMR 203 BF2I, Biologie Fonctionnelle Insectes et Interactions, INRA, INSA de Lyon, Université de Lyon, F-69621, Villeurbanne, France.
Nathalie GueguenLaboratoire Microorganismes: Génome Environnement, UMR CNRS 6023, Université d'Auvergne, Clermont Ferrand, F-63001, France.
Agnès IltisGenostar, Montbonnot Saint Martin, F-38330, France.
Christiane ForestierLaboratoire Microorganismes: Génome Environnement, UMR CNRS 6023, Université d'Auvergne, Clermont Ferrand, F-63001, France.
Damien BalestrinoLaboratoire Microorganismes: Génome Environnement, UMR CNRS 6023, Université d'Auvergne, Clermont Ferrand, F-63001, France. damien.balestrino@udamail.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurface-associated communities of bacteria, known as biofilms, play a critical role in the persistence and dissemination of bacteria in various environments. Biofilm development is a sequential dynamic process from an initial bacterial adhesion to a three-dimensional structure formation, and a subsequent bacterial dispersion. Transitions between these different modes of growth are governed by complex and partially known molecular pathways.

resultsUsing RNA-seq technology, our work provided an exhaustive overview of the transcriptomic behavior of the opportunistic pathogen Klebsiella pneumoniae derived from free-living, biofilm and biofilm-dispersed states. For each of these conditions, the combined use of Z-scores and principal component analysis provided a clear illustration of distinct expression profiles. In particular, biofilm-dispersed cells appeared as a unique stage in the bacteria lifecycle, different from both planktonic and sessile states. The K-means cluster analysis showed clusters of Coding DNA Sequences (CDS) and non-coding RNA (ncRNA) genes differentially transcribed between conditions. Most of them included dominant functional classes, emphasizing the transcriptional changes occurring in the course of K. pneumoniae lifestyle transitions. Furthermore, analysis of the whole transcriptome allowed the selection of an overall of 40 transcriptional signature genes for the five bacterial physiological states.

conclusionsThis transcriptional study provides additional clues to understand the key molecular mechanisms involved in the transition between biofilm and the free-living lifestyles, which represents an important challenge to control both beneficial and harmful biofilm. Moreover, this exhaustive study identified physiological state specific transcriptomic reference dataset useful for the research community.

Indexed as

BiofilmsTranscriptomeBacterial AdhesionGene Expression ProfilingGene Expression Regulation, BacterialKlebsiella pneumoniaeRNA, BacterialSequence Analysis, RNARNA, BacterialBiofilmDispersionKlebsiella pneumoniaeRNAseqTranscriptional signatures

Identifiers

PMID26979871
PMCPMC4791964

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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.