Bordetella Pertussis Macrolide Resistance Trajectories Under Erythromycin Exposure

Experimental data tracks macrolide resistance evolution in three clinical Bordetella pertussis isolates under stepwise erythromycin exposure. The dataset includes genomic and phenotypic measurements such as minimum inhibitory concentration (MIC), growth, biofilm formation, and ELISA readouts for virulence factors. It was authored by Kaichong Jiang and uploaded to figshare on 2026-04-17.

Use Cases

• Modeling antibiotic resistance trajectories based on genetic background and phenotypic readouts.
• Analyzing associations between genomic variants (e.g., 23S rRNA G2046A substitution) and high-level resistance.
• Comparing growth and biofilm formation differences across antibiotic-exposed lineages.
• Investigating structural genomic variation arising from serial passaging under antibiotic pressure.

Strengths

• Includes multi-modal phenotypic readouts: antimicrobial susceptibility testing, growth assays, biofilm assays, and ELISA measurements for five factors (PT, FHA, LPS, DHFS, DHFR).
• Tracks resistance evolution across three distinct, clinically relevant genetic backgrounds.
• Data is licensed under CC-BY-4.0, permitting open reuse with attribution.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is very small (10.2 KB), indicating a limited experimental scope.
• Data reflects a specific in vitro induction regimen; generalizability to clinical settings is uncertain.

Provenance

Source

figshare, author Kaichong Jiang.

Collection Method

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

Freshness

Last updated 2026-04-17 05:20:56.