Leveraging whole-genome sequencing for microbial contamination tracking and risk assessment in pharmaceutical manufacturing

Background: Pharmaceutical cleanrooms remain vulnerable to microbial contamination introduced through environmental and personnel-associated pathways, yet the genomic characteristics and transmission dynamics of these contaminants are not well defined. Methods: In this study, whole-genome sequencing (WGS) was applied to characterize microbial populations across a sterile vaccine production line. We adopted an integrated strategy that combined routine environmental monitoring with targeted genomic investigation, mapping the overall distribution of microorganisms and prioritizing isolates showing abnormal or recurrent detection for sequencing. By integrating SNP-based phylogeny, sampling location metadata, and ARG/virulence profiling. we identified five dominant opportunistic species, each displaying distinct genomic signatures indicative of different introduction pathways. Results: , suggesting elevated persistence potential under disinfectant pressure. Conclusion: These findings demonstrate that WGS enables precise source attribution and transmission-route reconstruction beyond the capability of conventional typing methods, thereby supporting real-time contamination control and evidence-based microbial-risk management in pharmaceutical manufacturing.

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Publication Details

Journal
Frontiers in Microbiology
Published
2026-04-15
DOI
https://doi.org/10.3389/fmicb.2026.1807989
Primary Topic
Infections and bacterial resistance
Type
article
Field-Weighted Citation Impact
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article

Leveraging whole-genome sequencing for microbial contamination tracking and risk assessment in pharmaceutical manufacturing

Tingzhang Wang, Xin Dou, Deyin Deng, Qiongqiong Li et al.
Frontiers in Microbiology
Infections and bacterial resistance
article

Leveraging whole-genome sequencing for microbial contamination tracking and risk assessment in pharmaceutical manufacturing

Tingzhang Wang, Xin Dou, Deyin Deng, Qiongqiong Li, Xinqin Chen, Xuhua Duan, Minghui Song
article en

Abstract

Background: Pharmaceutical cleanrooms remain vulnerable to microbial contamination introduced through environmental and personnel-associated pathways, yet the genomic characteristics and transmission dynamics of these contaminants are not well defined. Methods: In this study, whole-genome sequencing (WGS) was applied to characterize microbial populations across a sterile vaccine production line. We adopted an integrated strategy that combined routine environmental monitoring with targeted genomic investigation, mapping the overall distribution of microorganisms and prioritizing isolates showing abnormal or recurrent detection for sequencing. By integrating SNP-based phylogeny, sampling location metadata, and ARG/virulence profiling. we identified five dominant opportunistic species, each displaying distinct genomic signatures indicative of different introduction pathways. Results: , suggesting elevated persistence potential under disinfectant pressure. Conclusion: These findings demonstrate that WGS enables precise source attribution and transmission-route reconstruction beyond the capability of conventional typing methods, thereby supporting real-time contamination control and evidence-based microbial-risk management in pharmaceutical manufacturing.

Frontiers in MicrobiologyVol. 17
National Medical Products Administration (CN), Zhejiang Institute of Science and Technology Information (CN), Shanghai Institute of Quality Inspection and Technical Research (CN)
Openalex Percentile: Top 19%
Infections and bacterial resistance
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