Whole-Genome Characterization of Bacillus cereus Associated with Specific Disease Manifestations

T Chang1, J W Rosch2, Z Gu3

  • 1Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.

Infection and Immunity
|November 22, 2017
PubMed

Insights

Genetic analysis reveals distinct Bacillus cereus strains linked to specific infections. Skin infection strains cluster separately from invasive disease strains, highlighting genetic differences in pathogenesis.

Area of Science:

  • Microbiology
  • Genomics
  • Infectious Diseases

Background:

  • Bacillus cereus is a significant pathogen, especially in immunocompromised individuals.
  • This bacterium causes diverse infections, from enteric to invasive diseases like bacteremia and meningitis.
  • Genetic factors differentiating B. cereus strains causing specific clinical manifestations are not well understood.

Purpose of the Study:

  • To investigate the genetic basis of Bacillus cereus clinical diversity.
  • To identify genetic correlates associated with specific B. cereus disease manifestations.
  • To perform whole-genome analysis on B. cereus isolates from various clinical presentations.

Main Methods:

  • Whole-genome sequencing of Bacillus cereus strains.
  • Analysis of isolates from patients with noninvasive colonization, skin infections, and invasive bacteremia.
  • Comparative genomic analysis to identify unique genetic features.

Main Results:

  • Bacillus cereus strains causing skin infections formed a distinct genetic cluster.
  • Isolates associated with invasive disease showed different genetic profiles.
  • Unique genetic features, including virulence factors and metabolic pathways, were identified for specific infection types.

Conclusions:

  • Distinct genetic clusters within Bacillus cereus correlate with specific clinical outcomes.
  • Genomic analysis provides insights into the pathogenesis of B. cereus infections.
  • This study represents a comprehensive genetic analysis of pathogenic B. cereus with clinical data.

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