Bordetella Pertussis Macrolide Resistance Trajectories Under Erythromycin Exposure

A dataset from figshare, last updated on 2026-04-17, containing results from a stepwise erythromycin induction experiment on three clinical Bordetella pertussis isolates. It was created by Kaichong Jiang and includes phenotypic and genomic data tracking resistance evolution. The data is provided under a CC-BY-4.0 license in an 8.9 KB XLSX file.

Use Cases

• Modeling antibiotic resistance trajectories based on genomic background and phenotypic readouts.
• Analyzing correlations between genetic variants (e.g., 23S rRNA G2046A substitution) and minimum inhibitory concentration (MIC) levels.
• Comparing differences in growth, biofilm formation, and virulence factor expression (PT, FHA, LPS, DHFS, DHFR) across bacterial lineages under antibiotic pressure.
• Investigating structural genomic variation associated with serial passaging under antibiotic exposure.

Strengths

• Data includes whole-genome sequencing results for tracking resistance-associated variants.
• Phenotypic readouts are multi-faceted, including antimicrobial susceptibility testing, growth assays, biofilm assays, and ELISA-based measurements.
• The dataset is focused on three distinct, clinically relevant genetic backgrounds, allowing for comparative analysis.
• The file is small (8.9 KB), facilitating quick download and initial inspection.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's scale is limited to three parental isolates and their exposed lineages.

Provenance

Source

figshare

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 05:20:55.