Articles Tagged with ''whole genome sequencing''

A study used machine learning to analyze WGS data for Salmonella isolates from ten European nations. The findings reveal that poultry and pigs remain the dominant sources of human salmonellosis. Notable cross-border transmission underscores the need for internationally harmonized control strategies.

This article discusses the results of a 2024 follow-up survey to a 2019 workshop on the food industry's use of whole genome sequencing (WGS), the benefits and challenges of this technology, and necessary advancements for its continued acceptance and effective use in ensuring food safety.

A UK-based study, led by Quadram Institute researchers, underscores the limitations of traditional enumeration methods for foodborne pathogen surveillance and highlights the need for whole genome sequencing (WGS) to better assess the food safety risk posed by commensal or opportunistic Escherichia coli lineages.

New research has demonstrated a low overall prevalence of Campylobacter on retail chicken meat; however, recovered C. jejuni strains did not match known poultry-associated genotypes, suggesting the need for sensitive detection methods and expanded genomic surveillance.

The UK Food Standards Agency (FSA) has reported on the outcomes of the recently concluded, £24 million Pathogen Surveillance in Agriculture, Food, and the Environment (PATH-SAFE) program, and announced that it will continue to build on the work of PATH-SAFE with a national Food Surveillance Program.

This episode of Food Safety Five discusses two scientific developments that could help address the risk posed by Cronobacter in powdered infant formula: an AI-powered analysis of genetic data for C. sakazakii, providing new insight into why it persists in low-moisture foods, and the development of a promising new assay.

A study of Salmonella isolated from retail poultry meat has demonstrated a concerning presence of antimicrobial resistance (AMR) genes with the ability to transfer between bacteria.

bioMérieux has acquired Neoprospecta, a Brazil-based developer of data and genomics solutions for food industry quality assurance programs and microbiological risk prevention.

Using an artificial intelligence (AI) model to standardize and analyze a massive, global set of whole genome sequencing (WGS) data for Cronobacter sakazakii, University of Maryland researchers have discovered genetic traits that may explain the pathogen’s persistence and virulence in low-moisture foods like powdered infant formula. 

Initially launched in 2024, the investigation was reopened in April 2025. Whole genome sequencing (WGS) analysis confirmed that the strain of Listeria found at Fresh & Ready Foods LLC matches the strain of Listeria causing illnesses in this outbreak.