Evidence map›Paper›PMID 25168460›Full record

ArticleBMC genomics2014

Characterization of the core and accessory genomes of Pseudomonas aeruginosa using bioinformatic tools Spine and AGEnt.

Egon A Ozer, Jonathan P Allen, Alan R Hauser

Abstract readComparative Study
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers.

0numbers the graph read from it
0cells of the map it votes in
122citing 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

122 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Colorectal cancer-associatedJournal of bacteriology · 2025
    Article
  8. Phenotypic analysis of variousApplied and environmental microbiology · 2025
    Article
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  11. Article
  12. Article
  13. Article
  14. Article
  15. Cytotoxicity and virulence attributes ofRespiratory medicine case reports · 2025
    Article
  16. Article
  17. Review
  18. Antibiotics (Basel, Switzerland) · 2024
    Review
  19. Article
  20. Article

62 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

3 authors.

Egon A OzerDepartment of Medicine, Division of Infectious Diseases, Northwestern University, 645 North Michigan Avenue, Suite 900, Chicago, IL 60611, USA. e-ozer@northwestern.edu.
Jonathan P Allen
Alan R Hauser

Funding

TRAINING PROGRAM IN IMMUNOLOGY &MOLECULAR PATHOGENESIST32AI007476 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Edward Benjamin Thorp · 1996 to 2026
$6.6M
Mechanistic Studies of Patatin-like ToxinsR01AI053674 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HAUSER, ALAN R · 2003 to 2017
$4.3M
Validating targets in p. aeruginosa type III secretion using chemical probesR01AI099269 · NIAID · MICROBIOTIX, INC · PI MOIR, DONALD T · 2012 to 2015
$3.2M
Pseudomonas aeruginosa Genomic Islands and VirulenceR01AI075191 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HAUSER, ALAN R · 2009 to 2013
$1.7M
Patient-Oriented Research on Pseudomonas aeruginosaK24AI104831 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HAUSER, ALAN R · 2013 to 2024
$1.2M
Mechanism of Azithromycin Activity in Pseudomonas InfectionsR21AI088286 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HAUSER, ALAN R · 2010 to 2011
$438k
Identifying novel Pseudomonas Aeruginosa pathogenesis-associated genomic islandsF32AI089068 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI OZER, EGON ANDERSON · 2010 to 2011
$107k
Virulence-Associated Accessory Genomic Elements of Pseudomonas aeruginosaF32AI108247 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ALLEN, JONATHAN P · 2013 to 2014
$95k
NIAID NIH HHS AI04831NIAID NIH HHS AI053674NIAID NIH HHS AI075191NIAID NIH HHS AI088286NIAID NIH HHS AI099269NIAID NIH HHS F32 AI089068NIAID NIH HHS F32AI089068NIAID NIH HHS F32 AI108247NIAID NIH HHS F32AI108247-01NIAID NIH HHS K24 AI104831NIAID NIH HHS R01 AI053674NIAID NIH HHS R01 AI075191NIAID NIH HHS R01 AI099269NIAID NIH HHS R21 AI088286NIAID NIH HHS T32 AI007476NIAID NIH HHS T32AI007476
6 · The paper itself

Abstract

backgroundPseudomonas aeruginosa is an important opportunistic pathogen responsible for many infections in hospitalized and immunocompromised patients. Previous reports estimated that approximately 10% of its 6.6 Mbp genome varies from strain to strain and is therefore referred to as "accessory genome". Elements within the accessory genome of P. aeruginosa have been associated with differences in virulence and antibiotic resistance. As whole genome sequencing of bacterial strains becomes more widespread and cost-effective, methods to quickly and reliably identify accessory genomic elements in newly sequenced P. aeruginosa genomes will be needed.

resultsWe developed a bioinformatic method for identifying the accessory genome of P. aeruginosa. First, the core genome was determined based on sequence conserved among the completed genomes of twelve reference strains using Spine, a software program developed for this purpose. The core genome was 5.84 Mbp in size and contained 5,316 coding sequences. We then developed an in silico genome subtraction program named AGEnt to filter out core genomic sequences from P. aeruginosa whole genomes to identify accessory genomic sequences of these reference strains. This analysis determined that the accessory genome of P. aeruginosa ranged from 6.9-18.0% of the total genome, was enriched for genes associated with mobile elements, and was comprised of a majority of genes with unknown or unclear function. Using these genomes, we showed that AGEnt performed well compared to other publically available programs designed to detect accessory genomic elements. We then demonstrated the utility of the AGEnt program by applying it to the draft genomes of two previously unsequenced P. aeruginosa strains, PA99 and PA103.

conclusionsThe P. aeruginosa genome is rich in accessory genetic material. The AGEnt program accurately identified the accessory genomes of newly sequenced P. aeruginosa strains, even when draft genomes were used. As P. aeruginosa genomes become available at an increasingly rapid pace, this program will be useful in cataloging the expanding accessory genome of this bacterium and in discerning correlations between phenotype and accessory genome makeup. The combination of Spine and AGEnt should be useful in defining the accessory genomes of other bacterial species as well.

Indexed as

SoftwareBase SequenceComputational BiologyEvolution, MolecularGenome, BacterialMolecular Sequence AnnotationPhylogenyPseudomonas aeruginosaSequence Analysis, DNA

Identifiers

PMID25168460
PMCPMC4155085

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Registered trials

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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.