Martin Wiedmann

This study compares genomic and ecological strategies of motile and non-motile Listeria species to explain their geographic range expansion in soil.

This study uses machine learning to identify farm and meteorological factors influencing spore levels in organic raw milk, finding that herd size and environmental variables are key predictors.

This study identifies SNPs in enterotoxin genes that better predict cytotoxicity of B. cereus group strains in Caco-2 cells than enterotoxin gene presence alone.

This study develops a mathematical model to evaluate control strategies for Salmonella Dublin in heifer-raising operations, finding that increased cleaning reduces infections and improves income, while vaccination is less effective.

The paper identifies site-selective lipid A modifications by PETs in E. coli, linking specific phosphate modifications to colistin resistance and fitness costs.

This study develops an exposure assessment model to predict B. cereus group growth in HTST milk under temperature abuse conditions, showing some genotypes can reach 105 CFU/mL by day 35 of storage.

The paper assesses salmonellosis risk in raw chicken parts using microbial risk assessment, finding most illnesses are attributed to a small fraction of products with high levels of high-virulent Salmonella serotypes.

The paper evaluates DNA extraction and host depletion methods in bovine milk to improve bacterial detection for food safety, finding that magnetic-based methods are most effective and some methods introduce microbial detection bias.