The updated Microbiology Laboratory Guidebook chapter on whole genome sequencing (WGS) of bacterial isolates now includes protocols for using both the Illumina MiSeq and MiSeq i100 sequencing platforms.
Using metagenomic sequencing and qPCR, the study analyzed bacteria from produce, chicken meat, and RTE deli meats sold at retail stores in Tennessee. A high abundance and diversity of antibiotic resistance genes were identified, potentially contributing to the persistence and spread of antimicrobial resistance (AMR) in the food supply.
Unlike many other foodborne pathogens, Listeria can both survive and grow at refrigeration temperatures. This ability, along with the risk of cross-contamination to other foods and surfaces, contributes to its persistence in food processing environments and makes it a significant concern for food safety.
The Canadian Food Inspection Agency (CFIA) recently published the findings from several food sampling and testing assignments for microbiological and chemical contaminants across a range of food categories. In general, the results were satisfactory.
A JEMRA meeting was convened to help inform discussions about potential updates to Codex Alimentarius guidance, reflecting how scientific advances could strengthen microbiological risk assessments for food safety.
The Environmental Working Group’s 2026 Shopper’s Guide to Pesticides in Produce highlights PFAS pesticides for the first time. Although EWG recently updated its methodology, scientists argue it still does not consider key exposure science and risk assessment principles, therefore misleading consumers about the health risks of conventionally grown produce.
Researchers developed a quantitative microbiological risk assessment (QMRA) framework that evaluates the public health, environmental, and economic trade-offs of microbiological sampling plans. They suggested microbiological sampling may be most useful when risk-based or as a verification tool.
Garlic carries a distinct bacterial signature reflective of the soil in which it was grown, enabling geographic identification based on microbial composition. A novel method using microbiome data and AI analysis potentially offers a low-cost authentication technique.
The low-cost approach enables simultaneous detection of multiple foodborne pathogens and spoilage microorganisms in a shorter timeframe than traditional detection methods, without requiring advanced technical training.