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      The combination of nutraceuticals and functional feeds as additives modulates gut microbiota and blood markers associated with immune response and health in weanling piglets

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          Abstract

          This study aimed to evaluate the effects of a combination of feed additives with complementary functional properties on the intestinal microbiota, homocysteine, and vitamins E and B status as well as systemic immune response of weanling piglets. At weaning, 32 litters were assigned to one of the following dietary treatments ( DT): 1) conventional diet ( CTRL); 2) CTRL diet supplemented with antibiotics ( ATB); 3) a cocktail of feed additives containing cranberry extract, encapsulated carvacrol, yeast-derived products, and extra vitamins A, D, E, and B complex ( CKTL); or 4) CKTL diet with bovine colostrum in replacement of plasma proteins ( CKTL + COL). Within each litter, the piglets with lowest and highest birth weights ( LBW and HBW, respectively) and two piglets of medium birth weight ( MBW) were identified. The MBW piglets were euthanized at 42 d of age in order to characterize the ileal and colonic microbiota. Blood samples were also collected at weaning and at 42 d of age from LBW and HBW piglets to measure insulin-like growth factor-1 ( IGF-1), cysteine, homocysteine, and vitamins E, B 6, and B 12, and to characterize the leukocyte populations. At 42 d of age, cytokine production by stimulated peripheral blood mononuclear cells was also measured. In a second experiment, piglets were reared under commercial conditions to evaluate the effects of the DT on the growth performance. At the indicator species analysis, the highest indicator value ( IV) for Succinivibrio dextrinosolvens was found in the CKTL group, whereas the highest IV for Lactobacillus reuteri and Faecalibacterium prausnitzii was evidenced in the CKTL + COL group ( P < 0.05). Compared with the other DT, CTRL piglets had higher concentrations of homocysteine, whereas the CKTL and CKTL + COL supplementations increased the concentrations of vitamins E and B 12 ( P < 0.05). DT had no effect on IGF-1 concentration and on blood leukocytes populations; however, compared with HBW piglets, LBW animals had lower values of IGF-1, whereas the percentages of γδ T lymphocytes and T helper were decreased and increased, respectively ( P < 0.05). CKTL + COL also improved the growth performance of piglets reared under commercial conditions ( P < 0.05). This study highlights the impact of birth weight on piglet systemic immune defenses and the potential of weaning diet supplemented with feed additives and bovine colostrum to modulate the homocysteine metabolism and the intestinal microbiota.

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          Correlation between intraluminal oxygen gradient and radial partitioning of intestinal microbiota.

          The gut microbiota is a complex and densely populated community in a dynamic environment determined by host physiology. We investigated how intestinal oxygen levels affect the composition of the fecal and mucosally adherent microbiota. We used the phosphorescence quenching method and a specially designed intraluminal oxygen probe to dynamically quantify gut luminal oxygen levels in mice. 16S ribosomal RNA gene sequencing was used to characterize the microbiota in intestines of mice exposed to hyperbaric oxygen, human rectal biopsy and mucosal swab samples, and paired human stool samples. Average Po2 values in the lumen of the cecum were extremely low (<1 mm Hg). In altering oxygenation of mouse intestines, we observed that oxygen diffused from intestinal tissue and established a radial gradient that extended from the tissue interface into the lumen. Increasing tissue oxygenation with hyperbaric oxygen altered the composition of the gut microbiota in mice. In human beings, 16S ribosomal RNA gene analyses showed an increased proportion of oxygen-tolerant organisms of the Proteobacteria and Actinobacteria phyla associated with rectal mucosa, compared with feces. A consortium of asaccharolytic bacteria of the Firmicute and Bacteroidetes phyla, which primarily metabolize peptones and amino acids, was associated primarily with mucus. This could be owing to the presence of proteinaceous substrates provided by mucus and the shedding of the intestinal epithelium. In an analysis of intestinal microbiota of mice and human beings, we observed a radial gradient of microbes linked to the distribution of oxygen and nutrients provided by host tissue. Copyright © 2014 AGA Institute. Published by Elsevier Inc. All rights reserved.
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            DECIPHER, a search-based approach to chimera identification for 16S rRNA sequences.

            DECIPHER is a new method for finding 16S rRNA chimeric sequences by the use of a search-based approach. The method is based upon detecting short fragments that are uncommon in the phylogenetic group where a query sequence is classified but frequently found in another phylogenetic group. The algorithm was calibrated for full sequences (fs_DECIPHER) and short sequences (ss_DECIPHER) and benchmarked against WigeoN (Pintail), ChimeraSlayer, and Uchime using artificially generated chimeras. Overall, ss_DECIPHER and Uchime provided the highest chimera detection for sequences 100 to 600 nucleotides long (79% and 81%, respectively), but Uchime's performance deteriorated for longer sequences, while ss_DECIPHER maintained a high detection rate (89%). Both methods had low false-positive rates (1.3% and 1.6%). The more conservative fs_DECIPHER, benchmarked only for sequences longer than 600 nucleotides, had an overall detection rate lower than that of ss_DECIPHER (75%) but higher than those of the other programs. In addition, fs_DECIPHER had the lowest false-positive rate among all the benchmarked programs (<0.20%). DECIPHER was outperformed only by ChimeraSlayer and Uchime when chimeras were formed from closely related parents (less than 10% divergence). Given the differences in the programs, it was possible to detect over 89% of all chimeras with just the combination of ss_DECIPHER and Uchime. Using fs_DECIPHER, we detected between 1% and 2% additional chimeras in the RDP, SILVA, and Greengenes databases from which chimeras had already been removed with Pintail or Bellerophon. DECIPHER was implemented in the R programming language and is directly accessible through a webpage or by downloading the program as an R package (http://DECIPHER.cee.wisc.edu).
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              The intestinal microbiome of the pig.

              The intestinal microbiome has been the subject of study for many decades because of its importance in the health and well being of animals. The bacterial components of the intestinal microbiome have closely evolved as animals have and in so doing contribute to the overall development and metabolic needs of the animal. The microbiome of the pig has been the subject of many investigations using culture-dependent methods and more recently using culture-independent techniques. A review of the literature is consistent with many of the ecologic principles put forth by Rene Dubos. Animals develop an intestinal microbiome over time and space. During the growth and development of the pig, the microbiome changes in composition in a process known as the microbial succession. There are clear and distinct differences in the composition of the pig intestinal microbiome moving from the proximal end of the intestinal tract to the distal end. The majority (>90%) of the bacteria in the pig intestinal microbiome are from two Phyla: Firmicutes and Bacteroidetes. However, the ileum has a high percentage of bacteria in the phylum Proteobacterium (up to 40%). Perturbations to the microbiome occur in response to many factors including stresses, treatment with antibiotics, and diet.
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                Author and article information

                Journal
                J Anim Sci
                J. Anim. Sci
                jansci
                Journal of Animal Science
                Oxford University Press (US )
                0021-8812
                1525-3163
                August 2020
                08 August 2020
                08 August 2020
                : 98
                : 8
                : skaa208
                Affiliations
                [1 ] Département des Sciences Animales, Université Laval , Québec, QC, Canada
                [2 ] Sherbrooke Research and Development Centre, Agriculture and Agri-Food Canada , Sherbrooke, QC, Canada
                [3 ] Centre de Recherche en Infectiologie Porcine et Avicole (CRIPA), Faculté de Médecine Vétérinaire, Université de Montréal , Saint-Hyacinthe, QC, Canada
                [4 ] Département de Biologie, Université de Sherbrooke , Sherbrooke, QC , Canada
                [5 ] Guelph Research and Development Centre, Agriculture and Agri-Food Canada , Guelph, ON, Canada
                Author notes
                Author information
                http://orcid.org/0000-0003-0925-8107
                Article
                skaa208
                10.1093/jas/skaa208
                7419736
                32783055
                e22027ad-31f6-47ec-8384-afc9395692e8
                © The Author(s) 2020. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 07 May 2020
                : 28 July 2020
                : 11 August 2020
                Page count
                Pages: 16
                Funding
                Funded by: Agriculture and Agri-Food Canada, DOI 10.13039/501100000040;
                Funded by: Swine Innovation Porc, DOI 10.13039/100013183;
                Categories
                Non Ruminant Nutrition
                AcademicSubjects/SCI00960

                alternatives to antibiotics,bovine colostrum,feed additives,gut microbiota,weanling piglets

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