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With the increased demand for lightly preserved and/or ready-to-eat (RTE) food products, the prevalence of the foodborne pathogen Listeria monocytogenes has increased, which is a public health concern. The goal for this review is to discuss the incidence, epidemiological importance, and contamination routes of L. monocytogenes in various aquatic ecosystems, seafood products, and processing environments and to summarize the data obtained since the 1990s. L. monocytogenes primarily enters the food-production chain by cross-contamination in production plants, making this pathogen a major threat to the seafood industry. This pathogen generally contaminates food products at low or moderate levels, but the levels involved in listeriosis outbreaks are significantly higher. The majority of isolates from aquatic products belong to serotype 1/2a, and outbreaks have been linked to highly similar or even indistinguishable strains. Several seafood-processing plants are colonized by specific "in-house" flora containing special DNA subtypes of L. monocytogenes. In such cases, L. monocytogenes populations can persist and/or multiply despite the inherent obstacles to their growth in food preservation and manufacturing operations. Therefore, food-processing facilities must be designed carefully with an emphasis on effective cleaning and disinfecting operations in the production line.

In this study, shotgun metagenomics was employed to monitor the effect of oxytetracycline, administered at a therapeutic dose, on the dynamics of the microbiota and resistome in the feces of weaned pigs. Sixteen weaning pigs were assigned to one of two treatments including standard starter diet for 21 days or antibiotic-supplemented diet (10 g oxytetracycline/100 kg body weight/day) for 7 days, followed by 14 days of standard starter diet. Feces were collected from the pigs on days 0, 8, and 21 for microbiota and resistome profiling. Pigs receiving oxytetracycline exhibited a significantly greater richness (ANOVA, P = 0.034) and diversity (ANOVA, P = 0.048) of antibiotic resistance genes (ARGs) than the control pigs. Antibiotic administration significantly enriched the abundances of 41 ARGs, mainly from the tetracycline, betalactam and multidrug resistance classes. Compositional shifts in the bacterial communities were observed following 7 days of antibiotic adminstration, with the medicated pigs showing an increase in Escherichia (Proteobacteria) and Prevotella (Bacteroidetes) populations compared with the nonmedicated pigs. This might be explained by the potential of these taxa to carry ARGs that may be transferred to other susceptible bacteria in the densely populated gut environment. These findings will help in the optimization of therapeutic schemes involving antibiotic usage in swine production.

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The intestinal microbiota of piglets fed with a Control diet low in dietary fibre and modified wheat bran variants as an additional source of insoluble dietary fibre was characterised. In this context, variances in the microbiota of three different gut segments were assessed. Wheat bran was either included in its native form or modified by fermentation and extrusion before added at 150 g/kg to a basal diet for 48 piglets (12 animals per treatment). Total DNA was extracted from digesta samples from the jejunum, the end of the ileum and the colon ascendens. Samples were prepared accordingly for subsequent sequencing with the Illumina MiSeq. The obtained results revealed distinct location-specific differences in microbial composition. While Firmicutes were most predominant in all three gut segments, Bacteroidetes were additionally found in the colon at high abundance. The parameters of alpha and beta diversity analysis showed significant differences (p < 0.01) between the colon and the other two gut segments. Specialised bacterial groups like Prevotella and Ruminococcaceae were among the most predominant ones found in the colon, as they possess cellulolytic properties to degrade (at least partially) non-starch polysaccharides, while their abundance was negligible in the jejunum and the ileum. Conversely, the genera Lactobacillus, Bifidobacterium and Veillonella, for example, were among the most predominant groups in the jejunum and ileum, while in the colon they were hardly found. Although statistical taxonomical evaluation, following p-value correction, did not reveal pronounced differences in abundance related to bran modification, alpha and beta diversity analysis showed an influence regarding the various feeding strategies applied. Based on these findings, a more in-depth view on intestinal microbial composition within the gastrointestinal tract of young pigs fed with low- and high-fibre diets was generated.

Increasing evidence shows that the chicken gastrointestinal microbiota has a major effect on the modulation of metabolic functions and is correlated with economic parameters, such as feed efficiency and health. Some of these effects derive from the capacity of the chicken to digest carbohydrates and produce energy-rich metabolites such as short-chain fatty acids (SCFA) and from host-microbe interactions. In this study, we utilized information from metagenomic assembled genomes (MAGs) from chicken gastrointestinal tract (GIT) samples, with detailed annotation of carbohydrate-active enzymes (CAZymes) and genes involved in SCFA production, to better understand metabolic potential at different ages. Metagenomic sequencing of 751 chicken GIT samples was performed to reconstruct 155 MAGs, representing species which belong to six phyla, primarily Firmicutes followed by Proteobacteria. MAG diversity significantly (p &lt; 0.001) increased with age, with early domination of Lachnospiraceae, followed by other families including Oscillospiraceae. Age-dependent shifts were observed in the abundance of genes involved in CAZyme and SCFA production, exemplified by a significant increase in glycosyltransferases (GTs) and propionic acid production pathways (p &lt; 0.05), and a lower abundance of glycoside hydrolases (GHs) (p &lt; 0.01). Co-occurrence analysis revealed a large cluster highly interconnected by enzymes from GT2_2 and GH3 families, underscoring their importance in the community. Furthermore, several species were identified as interaction hubs, elucidating associations of key microbes and enzymes that more likely drive temporal changes in the chicken gut microbiota, and providing further insights into the structure of the complex microbial community. This study extends prior efforts on the characterization of the chicken GIT microbiome at the taxonomic and functional levels and lays an important foundation toward better understanding the broiler chicken gut microbiome helping in the identification of modulation opportunities to increase animal health and performance.