Pathogenic Potential of Pseudoxanthomonas kaohsiungensis Strain IMB-1 Based on Whole-Genome Sequencing

Natalia Belkova1, Nadezhda Smurova1, Raisa Zugeeva1

  • 1Federal State Budgetary Scientific Institution 'Scientific Centre for Family Health and Human Reproduction Problems', Epidemiology and Microbiology Institute, 3, K. Marks Str., 664003 Irkutsk, Russia.

Biology
|July 15, 2026
PubMed

Insights

Pseudoxanthomonas kaohsiungensis strain IMB-1, isolated from cerebrospinal fluid, shows potential as an opportunistic pathogen. Whole-genome sequencing revealed unique genes contributing to its adaptability and resistance, highlighting its clinical relevance.

Area of Science:

  • Clinical microbiology
  • Genomics
  • Bacteriology

Background:

  • Mass spectrometry and high-throughput sequencing are increasingly used in clinical bacteriology.
  • Strain IMB-1 was previously isolated from the cerebrospinal fluid of a pediatric patient.

Purpose of the Study:

  • To characterize strain IMB-1 as Pseudoxanthomonas kaohsiungensis.
  • To analyze its biological properties, resistance profile, and complete genome.
  • To assess its pathogenic potential.

Main Methods:

  • Phenotypic characterization including enzymatic activity and antibiotic resistance profiling.
  • Whole-genome sequencing and analysis of strain IMB-1.
  • Comparative pan-genome analysis with other P. kaohsiungensis strains.
  • Genome annotation to identify genes related to pathogenicity and resistance.

Main Results:

  • Strain IMB-1 identified as Pseudoxanthomonas kaohsiungensis, closely related to the type strain.
  • Phenotypic resistance observed only for aminoglycosides.
  • The IMB-1 genome contains a large set of unique gene clusters (508), indicating genomic plasticity.
  • Identified genes associated with antibiotic resistance, biofilm formation, adhesion, and stress resistance.

Conclusions:

  • Strain IMB-1 possesses significant pathogenic potential, classifying it as a potential opportunistic pathogen.
  • Whole-genome sequencing data is crucial for accurate pathogen identification, outbreak monitoring, and antimicrobial resistance surveillance in public health.