Tire Wear Particle Microbiome Data on Extracellular Vesicles and Antibiotic Resistance

1.2 KB of tabular data from a study identifying extracellular vesicles as vectors for antibiotic resistance genes in tire wear particle microbiomes. The dataset, published by Yi-Fei Qin on figshare in April 2026, includes findings that 46.3% of colonizing potential pathogens on TWPs released EVs, compared to 7.3% in bulk soil and water. It supports analysis of how urban pollutants amplify antimicrobial resistance risks in soil ecosystems.

Use Cases

• Modeling the relationship between tire wear particle pollution and pathogen colonization based on described microbial habitat data.
• Analyzing the enrichment of specific antibiotic resistance genes, like those for multidrug and tetracycline resistance, within extracellular vesicles.
• Investigating the functional transfer of resistance traits to pathogenic bacteria such as Pseudomonas aeruginosa and Escherichia coli under antibiotic stress.

Strengths

• Dataset is focused on a specific environmental mechanism, with key findings like a 46.3% EV release rate from pathogens on TWPs.
• Published under a clear CC-BY-NC-4.0 license for non-commercial reuse.
• Last updated on 2026-04-16, indicating recent availability.

Limitations

• The dataset is very small at 1.2 KB, suggesting limited scope or summary-level data.
• Row count and column-level documentation are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

figshare, authored by Yi-Fei Qin.

Collection Method

Likely contains experimental results from a study on tire wear particle microbiomes and extracellular vesicles.

Freshness

Last updated 2026-04-16 07:30:14; freshness should be verified.