Evidence map›Paper›PMID 33127897›Full record

ArticleNPJ biofilms and microbiomes2020

An integrated model system to gain mechanistic insights into biofilm-associated antimicrobial resistance in Pseudomonas aeruginosa MPAO1.

Adithi R Varadarajan, Raymond N Allan, Jules D P Valentin, Olga E Castañeda Ocampo, Vincent Somerville, Franziska Pietsch, Matthias T Buhmann, Jonathan West, Paul J Skipp, Henny C van der Mei and 4 more

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
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  3. UnderstandingMicroorganisms · 2026
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  5. Foods (Basel, Switzerland) · 2025
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  7. Antibiotic-ResistantMicroorganisms · 2025
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  9. Microbiology spectrum · 2023
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  12. Boolean model of the gene regulatory network ofFrontiers in microbiology · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Genome Mining and Analysis of PKS Genes inJournal of fungi (Basel, Switzerland) · 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

14 authors.

Adithi R VaradarajanResearch Group Molecular Diagnostics Genomics & Bioinformatics, Agroscope and SIB Swiss Institute of Bioinformatics, Wädenswil, Switzerland. vadithi.ethz@gmail.com.ORCID 0000-0002-9581-8598
Raymond N AllanSchool of Biological Sciences and Institute for Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK.ORCID 0000-0001-7764-4849
Jules D P ValentinLaboratory for Biointerfaces, Empa, Swiss Federal Laboratories for Materials Science and Technology, St. Gallen, Switzerland.
Olga E Castañeda OcampoDepartment of BioMedical Engineering, University of Groningen and University Medical Center Groningen, Groningen, Netherlands.
Vincent SomervilleResearch Group Molecular Diagnostics Genomics & Bioinformatics, Agroscope and SIB Swiss Institute of Bioinformatics, Wädenswil, Switzerland.
Franziska PietschDivision of Biodeterioration and Reference Organisms, Federal Institute for Materials Research and Testing (BAM), Berlin, Germany.
Matthias T BuhmannLaboratory for Biointerfaces, Empa, Swiss Federal Laboratories for Materials Science and Technology, St. Gallen, Switzerland.
Jonathan WestFaculty of Medicine, University of Southampton, Southampton, SO17 1BJ, UK.ORCID 0000-0002-5709-6790
Paul J SkippCentre for Proteomics Research, University of Southampton, Southampton, SO17 1BJ, UK.
Henny C van der MeiDepartment of BioMedical Engineering, University of Groningen and University Medical Center Groningen, Groningen, Netherlands.ORCID 0000-0003-0760-8900
Qun RenLaboratory for Biointerfaces, Empa, Swiss Federal Laboratories for Materials Science and Technology, St. Gallen, Switzerland.ORCID 0000-0003-0627-761X
Frank SchreiberDivision of Biodeterioration and Reference Organisms, Federal Institute for Materials Research and Testing (BAM), Berlin, Germany.
Jeremy S WebbSchool of Biological Sciences and Institute for Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK.
Christian H AhrensResearch Group Molecular Diagnostics Genomics & Bioinformatics, Agroscope and SIB Swiss Institute of Bioinformatics, Wädenswil, Switzerland. christian.ahrens@agroscope.admin.ch.ORCID 0000-0002-8148-7257

Funding

Medical Research Council MR/R005621/1
6 · The paper itself

Abstract

Pseudomonas aeruginosa MPAO1 is the parental strain of the widely utilized transposon mutant collection for this important clinical pathogen. Here, we validate a model system to identify genes involved in biofilm growth and biofilm-associated antibiotic resistance. Our model employs a genomics-driven workflow to assemble the complete MPAO1 genome, identify unique and conserved genes by comparative genomics with the PAO1 reference strain and genes missed within existing assemblies by proteogenomics. Among over 200 unique MPAO1 genes, we identified six general essential genes that were overlooked when mapping public Tn-seq data sets against PAO1, including an antitoxin. Genomic data were integrated with phenotypic data from an experimental workflow using a user-friendly, soft lithography-based microfluidic flow chamber for biofilm growth and a screen with the Tn-mutant library in microtiter plates. The screen identified hitherto unknown genes involved in biofilm growth and antibiotic resistance. Experiments conducted with the flow chamber across three laboratories delivered reproducible data on P. aeruginosa biofilms and validated the function of both known genes and genes identified in the Tn-mutant screens. Differential protein abundance data from planktonic cells versus biofilm confirmed the upregulation of candidates known to affect biofilm formation, of structural and secreted proteins of type VI secretion systems, and provided proteogenomic evidence for some missed MPAO1 genes. This integrated, broadly applicable model promises to improve the mechanistic understanding of biofilm formation, antimicrobial tolerance, and resistance evolution in biofilms.

Indexed as

Drug Resistance, BacterialGenes, EssentialBiofilmsConserved SequenceGene Expression Regulation, BacterialGenes, BacterialGenomicsMicrofluidic Analytical TechniquesMutagenesis, InsertionalPhenotypeProteogenomicsPseudomonas aeruginosa

Identifiers

PMID33127897
PMCPMC7603352

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.