Combination of emulsifier and xylanase in triticale-based broiler chickens diets.

The current study aimed to investigate the effect of supplementing an emulsifier, xylanase or a combination of both on the growth performance, digestibility of nutrients, microflora activity and intestinal morphology in broiler chickens fed triticale-based diets. A total of 480 one-day-old male Ross 308 broiler chicks were randomly assigned to four dietary treatments: control (CON), control with an added emulsifier (EMU), control with added xylanase (ENZ) and control with emulsifier and xylanase (EMU+ENZ). Xylanase supplemented groups had diminished feed intake (FI) and enhanced body weight gain (BWG) only within the starter period (p ≤ 0.05), while the feed conversion ratio (FCR) in the ENZ and ENZ+EMU groups was lower than CON during the whole experiment period. There was significant ENZ and EMU interaction in apparent metabolisable energy corrected to N equilibrium (AMEN) as well as NDF and DM retention. The viscosity of ileum digesta was the lowest in groups with enzyme addition. Interactions show that caecal galactosidase-α activity was higher in the CON group compared to EMU supplementation, but similar to ENZ and EMU+ENZ (p < 0.05). Activity of glucosidase-α was higher in the CON group related to inclusion of EMU or ENZ alone (p < 0.05) but did not differ from the combined supplementation of EMU+ENZ, whereas the glucosidase-ß activity was higher in the CON group compared to all supplemented diets (p < 0.05). Caecal C2 concentration was greater in the CON group than supplemented diets (p < 0.05). The expression of FATP1, PEPT1 and SGLT1 in the ileum was downregulated after emulsifier addition (p ≤ 0.05). The addition of emulsifier and xylanase indicates a mutual effect on broiler chickens' performance and nutrient digestibility in triticale diets with palm oil during the first nutritional period. Additionally, concomitantly additives usage influenced intestinal microbiome activity, as well.

Recent developments in antimicrobial growth promoters in chicken health: Opportunities and challenges.

With a continuously increasing human population is an increasing global demand for food. People in countries with a higher socioeconomic status tend to switch their preferences from grains to meat and high-value foods. Their preference for chicken as a source of protein has grown by 70% over the last three decades. Many studies have shown the role of feed in regulating the animal gut microbiome and its impact on host health. The microbiome absorbs nutrients, digests foods, induces a mucosal immune response, maintains homeostasis, and regulates bioactive metabolites. These metabolic activities are influenced by the microbiota and diet. An imbalance in microbiota affects host physiology and progressively causes disorders and diseases. With the use of antibiotics, a shift from dysbiosis with a higher density of pathogens to homeostasis can occur. However, the progressive use of higher doses of antibiotics proved harmful and resulted in the emergence of multidrug-resistant microbes. As a result, the use of antibiotics as feed additives has been banned. Researchers, regulatory authorities, and managers in the poultry industry have assessed the challenges associated with these restrictions. Research has sought to identify alternatives to antibiotic growth promoters for poultry that do not have any adverse effects. Modulating the host intestinal microbiome by regulating dietary factors is much easier than manipulating host genetics. Research efforts have led to the identification of feed additives, including bacteriocins, immunostimulants, organic acids, phytogenics, prebiotics, probiotics, phytoncides, and bacteriophages. In contrast to focusing on one or more of these alternative bioadditives, an improved feed conversion ratio with enhanced poultry products is possible by employing a combination of feed additives. This article may be helpful in future research towards developing a sustainable poultry industry through the use of the proposed alternatives.

Low pathogenic avian influenza virus infection retards colon microbiota diversification in two different chicken lines.

BACKGROUND: A commensal microbiota regulates and is in turn regulated by viruses during host infection which can influence virus infectivity. In this study, analysis of colon microbiota population changes following a low pathogenicity avian influenza virus (AIV) of the H9N2 subtype infection of two different chicken breeds was conducted. METHODS: Colon samples were taken from control and infected groups at various timepoints post infection. 16S rRNA sequencing on an Illumina MiSeq platform was performed on the samples and the data mapped to operational taxonomic units of bacterial using a QIIME based pipeline. Microbial community structure was then analysed in each sample by number of observed species and phylogenetic diversity of the population. RESULTS: We found reduced microbiota alpha diversity in the acute period of AIV infection (day 2-3) in both Rhode Island Red and VALO chicken lines. From day 4 post infection a gradual increase in diversity of the colon microbiota was observed, but the diversity did not reach the same level as in uninfected chickens by day 10 post infection, suggesting that AIV infection retards the natural accumulation of colon microbiota diversity, which may further influence chicken health following recovery from infection. Beta diversity analysis indicated a bacterial species diversity difference between the chicken lines during and following acute influenza infection but at phylum and bacterial order level the colon microbiota dysbiosis was similar in the two different chicken breeds. CONCLUSION: Our data suggest that H9N2 influenza A virus impacts the chicken colon microbiota in a predictable way that could be targeted via intervention to protect or mitigate disease.

Patterns of community assembly in the developing chicken microbiome reveal rapid primary succession.

The fine-scale temporal dynamics of the chicken gut microbiome are unexplored, but thought to be critical for chicken health and productivity. Here, we monitored the fecal microbiome of healthy chickens on days 1-7, 10, 14, 21, 28, and 35 after hatching, and performed 16S rRNA amplicon sequencing in order to obtain a high-resolution census of the fecal microbiome over time. In the period studied, the fecal microbiomes of the developing chickens showed a linear-log increase in community richness and consistent shifts in community composition. Three successional stages were detected: the first stage was dominated by vertically transmitted or rapidly colonizing taxa including Streptococcus and Escherichia/Shigella; in the second stage beginning on day 4, these taxa were displaced by rapid-growing taxa including Lachnospiraceae and Ruminococcus-like species variants; and in the third stage, starting on day 10, slow-growing, specialist taxa including Candidatus Arthrobacter and Romboutsia were detected. The patterns of displacement and the previously reported ecological characteristics of many of the dominant taxa observed suggest that resource competition plays an important role in regulating successional dynamics in the developing chicken gut. We propose that the boundaries between successional stages (3-4 and 14-21 days after hatching) may be optimal times for microbiome interventions.