Macrolide Resistance Trajectories in Bordetella Pertussis Under Erythromycin Exposure

Kaichong Jiang's dataset tracks macrolide resistance evolution in three clinical Bordetella pertussis isolates under stepwise erythromycin exposure. It includes phenotypic readouts like antimicrobial susceptibility testing, growth and biofilm assays, and ELISA-based measurements of virulence- and metabolism-associated factors. The dataset was last updated on 2026-04-17 and is available under a CC-BY-4.0 license.

Use Cases

• Modeling antibiotic resistance trajectories based on genetic background and phenotypic readouts.
• Analyzing correlations between genomic alterations and phenotypic changes like growth and biofilm formation.
• Comparing resistance mechanisms (e.g., 23S rRNA substitution vs. efflux-associated variants) across different bacterial lineages.

Strengths

• Includes whole-genome sequencing data tracking resistance-associated variants across three distinct genetic backgrounds.
• Contains multiple phenotypic readouts: antimicrobial susceptibility testing, growth assays, biofilm assays, and ELISA measurements for five factors (PT, FHA, LPS, DHFS, DHFR).
• Data is from a controlled, stepwise antibiotic induction regimen, providing a basis for replicated evolution experiments.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (10.9 KB), indicating limited scope.

Provenance

Source

figshare, author Kaichong Jiang.

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 05:20:53; freshness should be verified.