Bordetella Pertussis Macrolide Resistance Trajectories Under Erythromycin Exposure

A 9.7 KB Excel dataset from figshare, last updated on 2026-04-17, authored by Kaichong Jiang. It contains results from a laboratory study tracking the evolution of erythromycin resistance in three clinical Bordetella pertussis isolates. The data includes phenotypic and genomic measurements from stepwise antibiotic exposure experiments.

Use Cases

• Modeling antibiotic resistance trajectories based on genetic background and phenotypic readouts described in the study.
• Analyzing correlations between genomic alterations (like 23S rRNA substitutions) and high-level macrolide resistance.
• Comparing differences in growth, biofilm formation, and virulence factor expression across genetically distinct bacterial lineages under antibiotic pressure.

Strengths

• Data is derived from controlled, stepwise antibiotic induction experiments on three distinct clinical isolates.
• Includes multiple phenotypic readouts: antimicrobial susceptibility testing, growth assays, biofilm assays, and ELISA measurements for five factors (PT, FHA, LPS, DHFS, DHFR).
• Licensed under CC-BY-4.0, permitting open sharing and adaptation.

Limitations

• The dataset is very small at 9.7 KB, indicating limited scope and scale.
• Row count and column-level documentation are unknown; field semantics must be inferred after download.
• Data may reflect bias inherent to the specific in vitro experimental conditions used.

Provenance

Source

figshare

Collection Method

Data generated from laboratory experiments involving stepwise erythromycin induction, whole-genome sequencing, and phenotypic assays on three Bordetella pertussis isolates.

Freshness

Last updated 2026-04-17 05:20:52; freshness should be verified.