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Using GWAS and Machine Learning to Identify and Predict Genetic Variants Associated with Foodborne Bacteria Phenotypic Traits.

Methods in molecular biology (Clifton, N.J.) - 1 Jan 2025

Tsoumtsa Meda Landry, Lagarde Jean, Guillier Laurent, Roussel Sophie, Douarre Pierre-Emmanuel

Abstract excerpt

One of the main challenges in food microbiology is to prevent the risk of outbreaks by avoiding the distribution of food contaminated by bacteria. This requires constant monitoring of the circulating strains throughout the food production chain. Bacterial genomes contain signatures of natural evolution and adaptive markers that can be exploited to better understand the behavior of pathogen in the food industry....

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PMID: 39235748
DOI: 10.1007/978-1-0716-4100-2_16

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