Pharmaceutical Cleanroom Microbial Genomes with Contamination Pathway Analysis

A 10.5 KB dataset from a study applying whole-genome sequencing to characterize microbial populations in a sterile vaccine production line. The data, authored by Qiongqiong Li and last updated on 2026-04-15, integrates SNP-based phylogeny, sampling location metadata, and ARG/virulence profiling for five dominant opportunistic species.

Use Cases

• Reconstruct contamination chains based on species-specific genomic features and sampling distributions.
• Identify potential introduction pathways (e.g., personnel-mediated, water-associated) based on genomic signatures.
• Assess persistence potential of contaminants based on the heterogeneous distribution of ARGs and virulence factors.
• Compare transmission dynamics of specific species like Burkholderia contaminans and Ralstonia pickettii.

Strengths

• Data integrates multiple analysis layers: SNP-based phylogeny, sampling location metadata, and ARG/virulence profiling.
• Focuses on five dominant opportunistic species with distinct genomic signatures, providing a targeted view.
• Licensed under CC-BY-4.0, permitting open sharing and adaptation.

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 very small at 10.5 KB, indicating limited scope.

Provenance

Source

figshare, author Qiongqiong Li.

Collection Method

Data was generated from 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 05:42:17; freshness should be verified.

Geography

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