bioRxivMicrobiologyPreprint
Genomic Potential vs. Pathogenic Reality: Functional Virulence Variation in Pseudomonas aeruginosa
Riet DehaeneiD, Jorien PoppeliersiD, Maarten BooniD, Lene BensiD, Marleen Voet, Cédric LoodiD, Stefaan VerwimpiD, Vera van NoortiD, Gilles De MeesteriD, Axelle Van Daele, Aurélie CrabbéiD, Rob LavigneiD
Abstract
Despite the rapid expansion of bacterial genome sequencing, predicting pathogen virulence from genomic information remains a major challenge. To study this association, we integrate comparative genomics, functional phenotyping, host-pathogen interaction assays, and infection outcomes across a diverse collection of 28 Pseudomonas aeruginosa isolates, representing clinically relevant diversity in serotype, type IV pilus group, and flagellar type. While virulence-associated systems were broadly retained across the strain collection, isolates displayed substantial variation in phenotypic behavior and pathogenicity. Genotypic classifications based on pilus, flagellar, siderophore, or secretion system characteristics were poor predictors of virulence-associated phenotypes. Pathogenicity in a Galleria mellonella model varied markedly among strains and was most strongly associated with surface-associated motility, whereas other virulence traits and quorum-sensing genotypes showed limited predictive value. In a three-dimensional lung epithelial cell model, inflammatory responses were negatively correlated with activity of the type III secretion system effector ExoS, suggesting a role in modulation of host immune signaling. Together, these findings demonstrate that virulence emerges from functional deployment of conserved virulence repertoires, rather than their mere presence. By linking genomic diversity to phenotypic expression, pathogenicity, and host responses within a single strain collection, this study highlights fundamental limitations of gene-content-based virulence prediction and underscores the importance of integrating genomic and functional data to better understand P. aeruginosa virulence.
- organism: bacteria (other)
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A Genome-based Model to Predict the Virulence of Pseudomonas aeruginosa Isolates
Nathan B. Pincus, Egon Anderson Ozer, … Alan R. Hauser·mBioPeer-reviewed·Aug 24, 2020
- Mapping genetic and phenotypic diversity of Pseudomonas aeruginosa across clinical and environmental isolation sites
Cristina Peñaranda, Evan Pierce Brenner, … Deborah Tan Hung·bioRxiv·Sep 22, 2025
- Comparison of Galleria mellonella, Epithelial Cell Cytotoxicity, and Mouse Model of Bacteremia to Measure Pseudomonas aeruginosa Virulence
Aliki Valdes, Christopher M. R. Axline, … Alan R. Hauser·Infection and ImmunityPeer-reviewed·Aug 19, 2026
- Pseudomonas aeruginosa core metabolism exerts a widespread growth-independent control on virulence
S. Panayidou, K. Georgiades, … Y. Apidianakis·bioRxiv·Nov 20, 2019
- Model-driven characterization of functional diversity of Pseudomonas aeruginosa clinical isolates with broadly representative phenotypes
Mohammad Mazharul Islam, Glynis L. Kolling, … Jason A. Papin·Microbial GenomicsPeer-reviewed·Jun 5, 2024
- Subpopulations of Pseudomonas aeruginosa inflict distinct tissue damage during infection
Alejandro Tejada-Arranz, Varun Sunder, … Marek Basler·bioRxiv·Oct 8, 2026