Macrolide Resistance Trajectories in Bordetella Pertussis Under Erythromycin Exposure

Figshare hosts a dataset tracking macrolide resistance evolution in three clinical Bordetella pertussis isolates under stepwise erythromycin exposure. The data includes phenotypic readouts like antimicrobial susceptibility, growth, biofilm assays, and ELISA measurements of virulence factors. Author Kaichong Jiang published the dataset under a CC-BY-4.0 license, with a last update in April 2026.

Use Cases

• Modeling antibiotic resistance trajectories based on genetic background and phenotypic readouts described in the study.
• Analyzing associations between genomic alterations and phenotypic changes like growth and biofilm formation under antibiotic pressure.
• Comparing virulence factor expression (PT, FHA, LPS, DHFS, DHFR) across different bacterial genetic backgrounds from ELISA data.

Strengths

• Data includes whole-genome sequencing results tracking resistance-associated variants across three distinct genetic backgrounds.
• Phenotypic measurements are multi-faceted, covering antimicrobial susceptibility, growth, biofilm formation, and ELISA-based factor quantification.
• Dataset is small (9.8 KB), facilitating quick download and initial inspection.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The dataset's scale is limited to three parental isolates, which may constrain generalizability.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

figshare

Collection Method

Data generated from stepwise erythromycin induction experiments on three clinical isolates, with tracking via whole-genome sequencing and phenotypic assays.

Freshness

Last updated 2026-04-17 05:20:57.