Genomic Data for Microbial Contamination in a Vaccine Production Line

A study by Qiongqiong Li applied whole-genome sequencing to characterize microbial populations across a sterile vaccine production line. The dataset, last updated in April 2026, integrates SNP-based phylogeny, sampling location metadata, and ARG/virulence profiling to identify five dominant opportunistic species and reconstruct contamination chains.

Use Cases

• Reconstruct contamination pathways based on SNP-based phylogeny and sampling location metadata.
• Assess microbial risk by profiling antibiotic resistance genes (ARGs) and virulence factors (VFs).
• Identify source attribution for contaminants like Burkholderia contaminans and Ralstonia pickettii.
• Compare genomic signatures to infer introduction pathways such as personnel-mediated or water-associated seeding.

Strengths

• Data integrates multiple analysis layers: SNP-based phylogeny, location metadata, and ARG/VF profiling.
• Focuses on five dominant opportunistic species with distinct genomic signatures.
• Licensed under CC-BY-4.0 for open reuse.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is small at 20.1 KB, indicating limited scope.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, author Qiongqiong Li.

Collection Method

Whole-genome sequencing applied to microbial isolates from a sterile vaccine production line, combining routine environmental monitoring with targeted genomic investigation.

Time Range

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Freshness

Last updated 2026-04-15 05:42:18.

Geography

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