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Updated: May 5, 2026

Testing the Role of Multicopy Plasmids in the Evolution of Antibiotic Resistance
Published on: May 2, 2018
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.
Background:
Macrolide resistance in Bordetella pertussis remains a clinical concern, yet how broader genomic background may be associated with resistance-associated trajectories under antibiotic exposure is not fully understood.
Methods:
We performed stepwise erythromycin (ERY) induction using three clinical macrolide-susceptible parental isolates representing clinically relevant genetic backgrounds. Resistance-associated variants were tracked by whole-genome sequencing together with phenotypic readouts, including antimicrobial susceptibility testing, growth and biofilm assays, and ELISA-based measurements of selected virulence- and metabolism-associated factors.
Results:
ERY minimum inhibitory concentration (MIC) trajectories diverged across genetic backgrounds. B19068 and B181 reached high-level resistance and exhibited a 23S rRNA G2046A substitution in the consensus sequence, whereas B197 followed a lower-MIC trajectory and accumulated variants in efflux-associated loci. Whole-genome sequencing further revealed genomic alterations across genetic backgrounds, including structural variation in a subset of isolates, indicating that serial passaging under antibiotic exposure can be accompanied by genomic alterations beyond candidate resistance loci. Antibiotic-exposed lineages also displayed differences in growth and biofilm formation across genetic backgrounds, and ELISA readouts (PT, FHA, LPS, DHFS, and DHFR) differed across backgrounds under the in vitro conditions used.
Conclusion:
Under a controlled induction regimen, three representative clinical genomic backgrounds exhibited divergent macrolide-resistance trajectories and accompanying phenotypic differences. These observations are consistent with background-linked differences in resistance evolution and provide a basis for future validation in replicated evolution experiments.
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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