Translating 'big data': better understanding of host-pathogen interactions to control bacterial foodborne pathogens in poultry.

Translating 'big data': better understanding of host-pathogen interactions to control bacterial foodborne pathogens in poultry. Anim Health Res Rev. 2020 Jan 07;:1-21 Authors: Deblais L, Kathayat D, Helmy YA, Closs G, Rajashekara G Abstract Recent technological advances has led to the generation, storage, and sharing of colossal sets of information ('big data'), and the expansion of 'omics' in science. To date, genomics/metagenomics, transcriptomics, proteomics, and metabolomics are arguably the most ground breaking approaches in food and public safety. Here we review some of the recent studies of foodborne pathogens (Campylobacter spp., Salmonella spp., and Escherichia coli) in poultry using big data. Genomic/metagenomic approaches have reveal the importance of the gut microbiota in health and disease. They have also been used to identify, monitor, and understand the epidemiology of antibiotic-resistance mechanisms and provide concrete evidence about the role of poultry in human infections. Transcriptomics studies have increased our understanding of the pathophysiology and immunopathology of foodborne pathogens in poultry and have led to the identification of host-resistance mechanisms. Proteomic/metabolomic approaches have aided in identifying biomarkers and the rapid detection of low levels of foodborne pathogens. Overall, 'omics' approaches complement each other and may provide, at least in part, a solution to our current food-sa...
Source: Animal Health Research Reviews - Category: Veterinary Research Authors: Tags: Anim Health Res Rev Source Type: research