Modern Approaches for Understanding Foodborne Pathogens: Antimicrobial Resistance and Genomics

Dear Colleagues,

Foodborne diseases represent a significant burden across the world, with one in ten people falling ill from contaminated food each year. Advanced approach to investigate the prevalence of foodborne pathogens along the food chain and the transmission of antimicrobial resistance (AMR) are essential to understand the overall problem. Cutting-edge approaches, particularly those involving rapid and high-throughput technologies for detection and source tracking, are critical to conduct risk management, including assessing the antimicrobial resistance. Previous lab-based approaches, including various MIC assays, remain the cornerstone, while the affordable approach, including genomic sequencing, may further advance the field by reformatting the AMR database, improving genotype–phenotype prediction, and applying artificial intelligence and machine learning to recognize the new AMR features. This Special Issue seeks manuscript submissions that further our understanding of antimicrobial resistance among foodborne bacteria over a broad scope. Submissions regarding cutting-edge approaches to recognize and understand antimicrobial resistance are especially encouraged.

Prof. Dr. Min Yue
Dr. Lin Teng
Guest Editors

Manuscript Submission Information

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