Evidence map›Paper›PMID 31541147›Full record

ArticleScientific reports2019

RNA-based qPCR as a tool to quantify and to characterize dual-species biofilms.

Andreia Patrícia Magalhães, Ângela França, Maria Olívia Pereira, Nuno Cerca

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Review
  3. BioMed research international · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Ecology ofBiofilm · 2024
    Review
  9. Review
  10. Alterations in Antibiotic Susceptibility ofInternational journal of molecular sciences · 2023
    Article
  11. Article
  12. Imaging biofilms using fluorescenceFrontiers in cellular and infection microbiology · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Six Bacterial Vaginosis-Associated Species Can Form anFrontiers in cellular and infection microbiology · 2022
    Article
  19. Antibiotics reduce bacterial load inAccess microbiology · 2022
    Article
  20. 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

4 authors.

Andreia Patrícia MagalhãesCentre of Biological Engineering, LIBRO - Laboratório de Investigação em Biofilmes Rosário Oliveira, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal.ORCID http://orcid.org/0000-0003-2049-0185
Ângela FrançaCentre of Biological Engineering, LIBRO - Laboratório de Investigação em Biofilmes Rosário Oliveira, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal.
Maria Olívia PereiraCentre of Biological Engineering, LIBRO - Laboratório de Investigação em Biofilmes Rosário Oliveira, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal.
Nuno CercaCentre of Biological Engineering, LIBRO - Laboratório de Investigação em Biofilmes Rosário Oliveira, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal. nunocerca@ceb.uminho.pt.ORCID http://orcid.org/0000-0003-3365-3537

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While considerable research has focused on studying individual-species, we now face the challenge of determining how interspecies interactions alter bacterial behaviours and pathogenesis. Pseudomonas aeruginosa and Staphylococcus aureus are often found to co-infect cystic-fibrosis patients. Curiously, their interaction is reported as competitive under laboratory conditions. Selecting appropriate methodologies is therefore critical to analyse multi-species communities. Herein, we demonstrated the major biases associated with qPCR quantification of bacterial populations and optimized a RNA-based qPCR able not only to quantify but also to characterize microbial interactions within dual-species biofilms composed by P. aeruginosa and S. aureus, as assessed by gene expression quantification. qPCR quantification was compared with flow-cytometry and culture-based quantification. Discrepancies between culture independent and culture dependent methods could be the result of the presence of viable but not-cultivable bacteria within the biofilm. Fluorescence microscopy confirmed this. A higher sensitivity to detect viable cells further highlights the potentialities of qPCR approach to quantify biofilm communities. By using bacterial RNA and an exogenous mRNA control, it was also possible to characterize bacterial transcriptomic profile, being this a major advantage of this method.

Indexed as

Bacterial ProteinsBiofilmsColony Count, MicrobialCystic FibrosisFlow CytometryGene Expression ProfilingGene Expression Regulation, BacterialHumansMicrobial InteractionsPseudomonas aeruginosaReal-Time Polymerase Chain ReactionRNA, BacterialRNA, Ribosomal, 16SSensitivity and SpecificityStaphylococcus aureusBacterial ProteinsRNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID31541147
PMCPMC6754382

What OpenQuestion holds

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LicenceCC BY
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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.