Human gut microbiota and their production of endocannabinoid-like mediators are directly affected by a dietary oil.

Dietary omega-3 polyunsaturated fatty acids (n-3 PUFAs) and the gut microbiome affect each other. We investigated the impact of supplementation with Buglossoides arvensis oil (BO), rich in stearidonic acid (SDA), on the human gut microbiome. Employing the Mucosal Simulator of the Human Intestinal Microbial Ecosystem (M-SHIME), we simulated the ileal and ascending colon microbiomes of four donors. Our results reveal two distinct microbiota clusters influenced by BO, exhibiting shared and contrasting shifts. Notably, Bacteroides and Clostridia abundance underwent similar changes in both clusters, accompanied by increased propionate production in the colon. However, in the ileum, cluster 2 displayed a higher metabolic activity in terms of BO-induced propionate levels. Accordingly, a triad of bacterial members involved in propionate production through the succinate pathway, namely Bacteroides, Parabacteroides, and Phascolarctobacterium, was identified particularly in this cluster, which also showed a surge of second-generation probiotics, such as Akkermansia, in the colon. Finally, we describe for the first time the capability of gut bacteria to produce N-acyl-ethanolamines, and particularly the SDA-derived N-stearidonoyl-ethanolamine, following BO supplementation, which also stimulated the production of another bioactive endocannabinoid-like molecule, commendamide, in both cases with variations across individuals. Spearman correlations enabled the identification of bacterial genera potentially involved in endocannabinoid-like molecule production, such as, in agreement with previous reports, Bacteroides in the case of commendamide. This study suggests that the potential health benefits on the human microbiome of certain dietary oils may be amenable to stratified nutrition strategies and extend beyond n-3 PUFAs to include microbiota-derived endocannabinoid-like mediators.

Salmonella enterica subsp. enterica virulence potential can be linked to higher survival within a dynamic in vitro human gastrointestinal model.

Salmonella enterica subsp. enterica is one of the leading causes of human foodborne infections and several outbreaks are now associated with the consumption of fresh fruit and vegetables. This study aims at evaluating whether Salmonella virulence can be linked to an enhanced ability to survive successive digestive environments. Thirteen S. enterica strains were selected according to high and low virulence phenotypes. Lettuce inoculated separately with each S. enterica strain was used as food matrix in the TNO gastrointestinal model (TIM-1) of the human upper gastrointestinal tract. During the passage in the stomach, counts determined using PMA-qPCR were 2-5 logs higher than the cultivable counts for all strains indicating the presence of viable but non-cultivable cells. Bacterial growth was observed in the duodenum compartment after 180 min for all but one strain and growth continued into the ileal compartment. After passage through the simulated gastrointestinal tract, both virulent and avirulent S. enterica strains survived but high virulence strains had a significantly (p = 0.004) better average survival rate (1003 %-3753 %) than low virulence strains (from 25 % to 3730%). The survival rates of S. enterica strains could be linked to the presence of genes associated with acid and bile resistance and their predicted products. The presence of single nucleotide polymorphisms may also impact the function of virulence associated genes and play a role in the resulting phenotype. These data provide an understanding of the relationship between measured virulence potential and survival of S. enterica during dynamic simulated gastrointestinal transit.

A Syst-OMICS Approach to Ensuring Food Safety and Reducing the Economic Burden of Salmonellosis.

The Salmonella Syst-OMICS consortium is sequencing 4,500 Salmonella genomes and building an analysis pipeline for the study of Salmonella genome evolution, antibiotic resistance and virulence genes. Metadata, including phenotypic as well as genomic data, for isolates of the collection are provided through the Salmonella Foodborne Syst-OMICS database (SalFoS), at https://salfos.ibis.ulaval.ca/. Here, we present our strategy and the analysis of the first 3,377 genomes. Our data will be used to draw potential links between strains found in fresh produce, humans, animals and the environment. The ultimate goals are to understand how Salmonella evolves over time, improve the accuracy of diagnostic methods, develop control methods in the field, and identify prognostic markers for evidence-based decisions in epidemiology and surveillance.