Use of next-generation sequencing in microbial risk assessment

Area of Science:

• Food Microbiology
• Food Safety Science
• Risk Assessment Methodologies

Background:

• Despite enhanced monitoring, microbial food alerts have increased, highlighting the need for robust food safety research.
• Assessing microbial risks in the food chain is critical but often hampered by limited scientific data.
• High-throughput technologies like next-generation sequencing (NGS) present a potential solution to data gaps.

Purpose of the Study:

• To explore the application and potential of next-generation sequencing (NGS) in microbial risk assessment for the food chain.
• To identify the challenges and opportunities in leveraging NGS data for comprehensive food safety evaluations.
• To bridge the gap between data generation capabilities of NGS and the requirements for substantiated risk management decisions.

Main Methods:

• Review of current applications of next-generation sequencing (NGS) in food microbiology, including pathogen detection, epidemiology, and microbiome analysis.
• Analysis of the potential of NGS for generating qualitative and quantitative data relevant to microbial risk assessment.
• Discussion of the challenges in integrating NGS data into hazard identification, characterization, and exposure assessment.

Main Results:

• NGS provides extensive data for pathogen detection, food epidemiology, and microbiome characterization within the food chain.
• The application of NGS in microbial risk assessment is still nascent, facing significant hurdles.
• NGS generates a large volume of data, but its effective use in risk characterization requires further development.

Conclusions:

• Next-generation sequencing (NGS) holds significant promise for enhancing food safety and quality by providing comprehensive data for risk assessment.
• Further research and methodological development are needed to fully harness NGS capabilities for microbial risk assessment and management.
• Addressing the challenges in data utilization is key to making substantiated risk management decisions in the food industry.