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March 17, 2026The Brazilian Journal of Infectious Diseases0 citationsOpen Access

Distribution of Virulence Factors in Clinical and Non-Clinical Isolates of the Genus Pseudomonas

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JCJoão Pedro Vasques da ConceiçãoFMFábio Faria da Mota

Key Points

  • The aim is to evaluate the distribution of virulence factors in clinical and non-clinical Pseudomonas isolates and identify potential antimicrobial targets.
  • Conducted in silico analyses of genomic data from over 800 Pseudomonas isolates.
  • Used Orthofinder 2 software to assess phylogenetic relationships and gene orthology.
  • Retrieved 368 virulence factors from P. aeruginosa PAO1 reference strain for analysis.
  • Developed Python scripts to assess the prevalence of virulence factors in isolates.
  • Identified 347 virulence factors present in over 90% of 314 clinical isolates.
  • Found that 103 of these virulence factors were also present in less than 50% of non-clinical isolates.
  • Highlighted several virulence factors as potential targets for new antimicrobial treatments.

Abstract

The genus Pseudomonas comprises more than 300 valid species, most of which are non-pathogenic, while some are opportunistic pathogens. P. aeruginosa has the greatest clinical relevance, causing respiratory infections and severe pneumonia with bacteremia. Due to the emergence of multidrug-resistant clones causing hospital outbreaks, this species is considered a critical priority for the development of new treatments by the WHO. One strategy to attenuate infections caused by multidrug-resistant clones is the inhibition of virulence factors (VFs) that impact bacterial infectivity and host damage (Liao et al., 2022). Several VFs have already been described in P. aeruginosa and may be used as targets for these treatments. The use of VFs, predominantly found in pathogens, may reduce resistance dissemination, as it does not affect the viability of most beneficial microbiota bacteria, unlike conventional antibiotics that target both pathogens and microbiota (Totsika, 2017). To evaluate the distribution of VFs in genomes of clinical and non-clinical Pseudomonas isolates through in silico analyses, prioritizing potential targets common to most clinical isolates. Genomic data from more than 800 isolates were retrieved from RefSeq, and isolation source was determined based on BioSample information. Orthofinder 2 software was used to predict phylogenetic relationships and gene orthology among genomes. A total of 368 experimentally confirmed VFs in the reference strain P. aeruginosa PAO1 were retrieved from the PseudomonasGenomeDB database. The prevalence of these VFs in recovered genomes was assessed using scripts developed in Python. Among the VFs, 347 were found in more than 90% of the 314 clinical isolates. Of these, 103 were also distributed in less than 50% of non-clinical isolates. This group of VFs of interest includes systems whose potential as targets for new antimicrobials is already under investigation, such as the type III secretion system (Jiang et al., 2024), as well as others such as the type VI secretion system (Sana et al., 2015), alpha-2-macroglobulins (Wong and Dessen, 2014), and others that may still be explored. This study identified 103 VFs prevalent in clinical Pseudomonas isolates that may serve as targets for the treatment of multidrug-resistant clones.

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Cite This Study

Conceição et al. (2026) studied this question.

synapsesocial.com/papers/69b8ef52deb47d591b8c5679https://doi.org/10.1016/j.bjid.2026.105363
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Investigation of Virulence Factors and Epidemiological Characteristics of Clinical Pseudomonas Aeruginosa Isolates2026
  2. 2Investigation of Virulence Factors in Resistance and Sensitive<i> Pseudomonas aeruginosa </i>Clinical Isolates2025
  3. 3Prevalence and genotypic distribution of virulence factor genes and antibiotic susceptibility profiles in clinical <i>Pseudomonas aeruginosa</i> isolates from a public hospital in Nanyang, China2026
  4. 4Genomic Differences Associated with Resistance and Virulence in Pseudomonas aeruginosa Isolates from Clinical and Environmental Sites2024 · 12 citations
  5. 5Molecular Diversity and Antimicrobial Resistance in Clinical Pseudomonas aeruginosa Isolates Associated with Virulence and Biofilm Formation2026