Evidence map›Paper›PMID 21083928›Full record

ArticleBMC microbiology2010

Physiology of Pseudomonas aeruginosa in biofilms as revealed by transcriptome analysis.

James P Folsom, Lee Richards, Betsey Pitts, Frank Roe, Garth D Ehrlich, Albert Parker, Aurélien Mazurie, Philip S Stewart

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 2 pooled it
3.2field-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

70 citing papers in PubMed, 2 syntheses or guidelines pooled it, 134 citations in OpenAlex.

  1. Measuring Antimicrobial Efficacy against Biofilms: a Meta-analysis.Antimicrobial agents and chemotherapy · 2019
    Pooled it
  2. Antimicrobial Tolerance in Biofilms.Microbiology spectrum · 2015
    Pooled it
  3. Review
  4. Co-infection withISME communications · 2026
    Article
  5. Article
  6. Microbiology spectrum · 2025
    Article
  7. Article
  8. The non-attached biofilm aggregate.Communications biology · 2023
    Review
  9. Article
  10. TheInternational journal of molecular sciences · 2023
    Article
  11. Imaging biofilms using fluorescenceFrontiers in cellular and infection microbiology · 2023
    Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Wolf in Sheep's Clothing:Microorganisms · 2021
    Review
  17. Review
  18. Article
  19. Article
  20. Review

10 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

8 authors at 3 institutions in 2 countries.

James P FolsomCenter for Biofilm Engineering and Department of Chemical and Biological Engineering, PO Box 173980, Montana State University-Bozeman, Bozeman, Montana 59717-3980, USA.
Lee Richards
Betsey Pitts
Frank Roe
Garth D Ehrlich
Albert Parker
Aurélien Mazurie
Philip S Stewart
Montana State University · USAllegheny-Singer Research Institute · USHalliburton (United States) · US

Funding

MT INBRE RESEARCH COREP20RR016455 · NCRR · MONTANA STATE UNIVERSITY - BOZEMAN · PI HARMSEN, ALLEN G · 2001 to 2011
$34.4M
VIRUSES: FROM PARTICLES TO PROTEOMICSP20RR020185 · NCRR · MONTANA STATE UNIVERSITY - BOZEMAN · PI MEISSNER, NICOLE · 2004 to 2011
$17.0M
THE ROLE OF BIOFILMS IN THE PATHOGENESIS OF OTORRHEAR01DC004173 · NIDCD · ALLEGHENY-SINGER RESEARCH INSTITUTE · PI EHRLICH, GARTH D. · 2000 to 2008
$7.0M
Antibiotic Susceptibility of Bacteria in BiofilmsR01GM067245 · NIGMS · MONTANA STATE UNIVERSITY (BOZEMAN) · PI STEWART, PHILIP S · 2002 to 2005
$799k
NCRR NIH HHS P20 RR016455NCRR NIH HHS P20 RR020185NIDCD NIH HHS R01 DC004173NIDCD NIH HHS R01DC04173-01A1NIGMS NIH HHS R01GM067245-02
6 · The paper itself

Abstract

backgroundTranscriptome analysis was applied to characterize the physiological activities of Pseudomonas aeruginosa grown for three days in drip-flow biofilm reactors. Conventional applications of transcriptional profiling often compare two paired data sets that differ in a single experimentally controlled variable. In contrast this study obtained the transcriptome of a single biofilm state, ranked transcript signals to make the priorities of the population manifest, and compared rankings for a priori identified physiological marker genes between the biofilm and published data sets.

resultsBiofilms tolerated exposure to antibiotics, harbored steep oxygen concentration gradients, and exhibited stratified and heterogeneous spatial patterns of protein synthetic activity. Transcriptional profiling was performed and the signal intensity of each transcript was ranked to gain insight into the physiological state of the biofilm population. Similar rankings were obtained from data sets published in the GEO database http://www.ncbi.nlm.nih.gov/geo. By comparing the rank of genes selected as markers for particular physiological activities between the biofilm and comparator data sets, it was possible to infer qualitative features of the physiological state of the biofilm bacteria. These biofilms appeared, from their transcriptome, to be glucose nourished, iron replete, oxygen limited, and growing slowly or exhibiting stationary phase character. Genes associated with elaboration of type IV pili were strongly expressed in the biofilm. The biofilm population did not indicate oxidative stress, homoserine lactone mediated quorum sensing, or activation of efflux pumps. Using correlations with transcript ranks, the average specific growth rate of biofilm cells was estimated to be 0.08 h(-1).

conclusionsCollectively these data underscore the oxygen-limited, slow-growing nature of the biofilm population and are consistent with antimicrobial tolerance due to low metabolic activity.

Indexed as

BiofilmsGene Expression ProfilingGene Expression Regulation, BacterialOligonucleotide Array Sequence AnalysisOxygenPseudomonas aeruginosaOxygen

Identifiers

PMID21083928
PMCPMC2998477
OpenAlexW2115801514

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.