Macrolide Resistance Trajectories in Bordetella Pertussis Under Erythromycin Exposure

Three clinical Bordetella pertussis isolates were subjected to stepwise erythromycin induction to track resistance evolution. Whole-genome sequencing and phenotypic assays measured genomic alterations, MIC trajectories, growth, biofilm formation, and virulence factors. Kaichong Jiang published this 12.4 KB dataset on figshare in April 2026 under a CC-BY-4.0 license.

Use Cases

• Modeling resistance trajectory divergence based on genetic background
• Correlating 23S rRNA mutations with high-level erythromycin resistance
• Analyzing phenotypic trade-offs in growth and biofilm formation under antibiotic pressure
• Investigating structural genomic variation arising from serial antibiotic passaging

Strengths

• Data includes phenotypic readouts from multiple assays: antimicrobial susceptibility, growth, biofilm, and ELISA.
• Whole-genome sequencing was performed to track resistance-associated variants and genomic alterations.
• The dataset is focused on three distinct, clinically relevant genetic backgrounds of Bordetella pertussis.

Limitations

• The dataset is very small at 12.4 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Stepwise erythromycin induction of three clinical isolates, followed by whole-genome sequencing and phenotypic assays.

Freshness

Last updated 2026-04-17 05:20:52