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Updated: Apr 25, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
Published on: December 7, 2021
Characterization of the core and accessory genomes of Pseudomonas aeruginosa using bioinformatic tools Spine and
Egon A Ozer1, Jonathan P Allen, Alan R Hauser
1Department of Medicine, Division of Infectious Diseases, Northwestern University, 645 North Michigan Avenue, Suite 900, Chicago, IL 60611, USA. e-ozer@northwestern.edu.
Background:
Pseudomonas 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.
Results:
We 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.
Conclusions:
The 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.
Insights
A new bioinformatic tool, AGEnt, accurately identifies the accessory genome in Pseudomonas aeruginosa, aiding research into virulence and antibiotic resistance. This method helps analyze bacterial genetic variation and its impact on disease.
Area of Science:
- Genomics
- Bioinformatics
- Microbiology
Background:
- Pseudomonas aeruginosa is an opportunistic pathogen causing infections in vulnerable patients.
- Approximately 10% of the P. aeruginosa genome, the accessory genome, varies between strains.
- Accessory genome elements are linked to variations in virulence and antibiotic resistance.
Purpose of the Study:
- To develop a bioinformatic method for identifying the accessory genome of P. aeruginosa.
- To create a tool for rapid and reliable identification of accessory genomic elements in new P. aeruginosa genomes.
Main Methods:
- Determined the core genome using the Spine software based on twelve reference strains.
- Developed the AGEnt (Accessory Genome identifier) program for in silico genome subtraction.
- Validated AGEnt by comparing its performance with existing public programs and applying it to draft genomes.
Main Results:
- The core genome of P. aeruginosa was 5.84 Mbp, containing 5,316 coding sequences.
- The accessory genome constituted 6.9-18.0% of the total genome, enriched with mobile elements and genes of unknown function.
- AGEnt demonstrated effective performance in identifying accessory genomic elements, even in draft genomes.
Conclusions:
- The AGEnt program accurately identifies accessory genomes in P. aeruginosa, facilitating the study of genetic variation.
- This tool is valuable for cataloging the expanding accessory genome and correlating it with bacterial phenotypes.
- The combination of Spine and AGEnt can be applied to define accessory genomes in other bacterial species.
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