Bordetella Pertussis Macrolide Resistance Trajectories Under Erythromycin Exposure

Experimental data tracking the evolution of macrolide resistance in three clinical Bordetella pertussis isolates under stepwise erythromycin exposure. The dataset includes genomic and phenotypic measurements, such as minimum inhibitory concentration (MIC), whole-genome sequencing variants, growth, biofilm formation, and ELISA readouts for virulence factors. It was created by Kaichong Jiang and last updated on 2026-04-17.

Use Cases

• Modeling antibiotic resistance trajectories based on genomic background and phenotypic readouts.
• Analyzing associations between 23S rRNA mutations and high-level erythromycin resistance.
• Investigating the impact of efflux-associated locus variants on lower-level resistance phenotypes.
• Comparing growth and biofilm formation differences across genetic backgrounds under antibiotic pressure.
• Correlating ELISA measurements of virulence factors (PT, FHA, LPS, DHFS, DHFR) with resistance evolution.

Strengths

• Data is derived from three distinct clinical Bordetella pertussis genetic backgrounds, providing comparative context.
• Includes multiple phenotypic readouts: antimicrobial susceptibility testing, growth assays, biofilm assays, and ELISA-based measurements.
• Whole-genome sequencing data tracks resistance-associated variants and genomic alterations.
• Dataset is openly available under a CC-BY-4.0 license.

Limitations

• Row count and specific column definitions are unknown, requiring manual inspection after download.
• The dataset is small (24.4 KB), indicating a limited experimental scope.
• Data is from a controlled in vitro induction regimen; applicability to clinical settings may require validation.

Provenance

Source

figshare

Collection Method

Stepwise erythromycin induction of three clinical macrolide-susceptible parental isolates, with tracking via whole-genome sequencing and phenotypic assays.

Freshness

Last updated 2026-04-17 05:20:54.