Macrolide resistance trajectories across three Bordetella pertussis genetic backgrounds under stepwise erythromycin

Kaichong Jiang1, Wei Wang2, Wenjuan Zhao3

  • 1National Regional Children's Medical Center (Northwest), Shaanxi Institute for Pediatric Diseases, Xi'an Children's Hospital, Affiliated Children's Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Abstract

Insights

Genomic background influences macrolide resistance evolution in Bordetella pertussis. Different genetic backgrounds lead to varied resistance trajectories and phenotypic changes under erythromycin exposure.

Area of Science:

  • Microbiology
  • Genomics
  • Antimicrobial Resistance

Background:

  • Macrolide resistance in Bordetella pertussis is a significant clinical issue.
  • The influence of genomic background on resistance evolution under antibiotic pressure is not well understood.

Purpose of the Study:

  • To investigate how different genetic backgrounds of Bordetella pertussis affect macrolide resistance development.
  • To track resistance-associated variants and phenotypic changes during stepwise antibiotic induction.

Main Methods:

  • Three macrolide-susceptible Bordetella pertussis isolates with distinct genetic backgrounds were subjected to stepwise erythromycin (ERY) induction.
  • Whole-genome sequencing, antimicrobial susceptibility testing, growth assays, biofilm assays, and ELISA were used to monitor resistance evolution and phenotypic changes.

Main Results:

  • Erythromycin (ERY) resistance trajectories varied significantly across the tested genetic backgrounds.
  • High-level resistance was observed in two isolates with a 23S rRNA G2046A substitution, while another isolate developed lower-level resistance via efflux-associated variants.
  • Genomic alterations, including structural variations, and differences in growth, biofilm formation, and virulence factors were observed across backgrounds.

Conclusions:

  • Distinct genetic backgrounds of Bordetella pertussis lead to divergent macrolide resistance pathways and associated phenotypic differences.
  • These findings highlight the role of genomic background in shaping antimicrobial resistance evolution and suggest a need for further validation.

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