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Applicability Evaluation of Male-Specific Coliphage-Based Detection Methods for Microbial Contamination Tracking
Gyungcheon Kim1, Gwoncheol Park1, Seohyun Kang1
1Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul 05006, Republic of Korea.
Journal of Microbiology and Biotechnology
|October 22, 2021
Summary
Male-specific (F+) coliphage can indicate shellfish contamination. Quantitative real-time PCR (RT-PCR) is more sensitive than traditional methods for detecting F+ coliphage, but genomic diversity requires further research for accurate microbial contamination tracking.
Area of Science:
- Environmental microbiology
- Food safety science
- Virology
Background:
- Norovirus outbreaks linked to shellfish consumption pose a public health risk.
- Male-specific (F+) coliphage are potential indicators of viral contamination from waste sources.
Purpose of the Study:
- To compare the efficacy of double agar overlay and quantitative real-time PCR (RT-PCR) for F+ coliphage detection in shellfish.
- To evaluate F+ coliphage as a microbial contamination tracker in shellfish and seawater.
Main Methods:
- Shellfish samples were artificially contaminated with F+ coliphage.
- F+ coliphage detection was performed using both double agar overlay and RT-PCR methods.
- Virome analysis was conducted on contaminated oyster samples.
Main Results:
- RT-PCR yielded 1.6–39 times higher F+ coliphage plaque-forming unit (PFU) values compared to the double agar overlay method.
- RT-PCR detected both intact viruses and fragmented viral nucleic acids.
- Genomic diversity of F+ coliphages was observed, impacting detection specificity.
Conclusions:
- RT-PCR is a more sensitive method for detecting F+ coliphage in shellfish, potentially offering a more efficient contamination tracking tool.
- The genomic variability of F+ coliphages presents a limitation for precise microbial contamination tracking.
- Further development of specific primer sets is crucial for reliable F+ coliphage-based shellfish and seawater sanitation monitoring.

