Evidence map›Paper›PMID 18590548›Full record

ArticleBMC microbiology2008

Dictyostelium transcriptional responses to Pseudomonas aeruginosa: common and specific effects from PAO1 and PA14 strains.

Sergio Carilla-Latorre, Javier Calvo-Garrido, Gareth Bloomfield, Jason Skelton, Robert R Kay, Alasdair Ivens, José L Martinez, Ricardo Escalante

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

25 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
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  4. Mutational background influencesProceedings of the National Academy of Sciences of the United States of America · 2022
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  5. Cells · 2022
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  6. Antibiotic Resistance in Pseudomonas.Advances in experimental medicine and biology · 2022
    Article
  7. Natural History and Ecology of Interactions BetweenFrontiers in cellular and infection microbiology · 2022
    Article
  8. Review
  9. Transcriptional Responses ofFrontiers in microbiology · 2020
    Article
  10. Article
  11. Inorganic Polyphosphate Is Essential forFrontiers in cellular and infection microbiology · 2018
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. 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

8 authors at 4 institutions in 2 countries.

Sergio Carilla-LatorreInstituto de Investigaciones Biomédicas Alberto Sols, Universidad Autónoma de Madrid-Consejo Superior de Investigaciones Científicas, Madrid, Spain. scarilla@iib.uam.es
Javier Calvo-Garrido
Gareth Bloomfield
Jason Skelton
Robert R Kay
Alasdair Ivens
José L Martinez
Ricardo Escalante
Consejo Superior de Investigaciones Científicas · ESInstituto de Investigaciones Biomédicas Sols-Morreale · ESMRC Laboratory of Molecular Biology · GBWellcome Sanger Institute · GB

Funding

Medical Research Council MC_U105115237
6 · The paper itself

Abstract

backgroundPseudomonas aeruginosa is one of the most relevant human opportunistic bacterial pathogens. Two strains (PAO1 and PA14) have been mainly used as models for studying virulence of P. aeruginosa. The strain PA14 is more virulent than PAO1 in a wide range of hosts including insects, nematodes and plants. Whereas some of the differences might be attributable to concerted action of determinants encoded in pathogenicity islands present in the genome of PA14, a global analysis of the differential host responses to these P. aeruginosa strains has not been addressed. Little is known about the host response to infection with P. aeruginosa and whether or not the global host transcription is being affected as a defense mechanism or altered in the benefit of the pathogen. Since the social amoeba Dictyostelium discoideum is a suitable host to study virulence of P. aeruginosa and other pathogens, we used available genomic tools in this model system to study the transcriptional host response to P. aeruginosa infection.

resultsWe have compared the virulence of the P. aeruginosa PAO1 and PA14 using D. discoideum and studied the transcriptional response of the amoeba upon infection. Our results showed that PA14 is more virulent in Dictyostelium than PA01using different plating assays. For studying the differential response of the host to infection by these model strains, D. discoideum cells were exposed to either P. aeruginosa PAO1 or P. aeruginosa PA14 (mixed with an excess of the non-pathogenic bacterium Klebsiella aerogenes as food supply) and after 4 hours, cellular RNA extracted. A three-way comparison was made using whole-genome D. discoideum microarrays between RNA samples from cells treated with the two different strains and control cells exposed only to K. aerogenes. The transcriptomic analyses have shown the existence of common and specific responses to infection. The expression of 364 genes changed in a similar way upon infection with one or another strain, whereas 169 genes were differentially regulated depending on whether the infecting strain was either P. aeruginosa PAO1 or PA14. Effects on metabolism, signalling, stress response and cell cycle can be inferred from the genes affected.

conclusionOur results show that pathogenic Pseudomonas strains invoke both a common transcriptional response from Dictyostelium and a strain specific one, indicating that the infective process of bacterial pathogens can be strain-specific and is more complex than previously thought.

Indexed as

Genome, ProtozoanAnimalsDictyosteliumDisease Models, AnimalGene Expression ProfilingGene Expression RegulationHumansProtozoan ProteinsPseudomonas aeruginosaSpecies SpecificityVirulenceProtozoan Proteins

Identifiers

PMID18590548
PMCPMC2474670
OpenAlexW1990801261

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.