Background Probiosis is considered a potential strategy to reduce antibiotics use and prevent post-weaning diarrhea (PWD). This study investigated the effect of Bacillus amyloliquefaciens DSM25840 or Bacillus subtilis DSM25841 supplementation on growth, health, immunity, intestinal functionality and microbial profile of post-weaning pigs after enterotoxigenic E. coli (ETEC) F4 challenge. Methods Sixty-four post-weaning piglets (7748 g ± 643 g) were randomly allocated to four groups: control basal diet (CO); CO + 1.28 × 106 CFU/g of B. amyloliquefaciens (BAA); CO + 1.28 × 106 CFU/g feed of B. subtilis (BAS); CO + 1 g colistin/kg of feed (AB). At day (d) 7, animals were challenged with 105 CFU/mL of ETEC F4ac O149 and then followed for fecal score and performance until d 21. Blood was collected at d 6, d 12 and d 21 for immunoglobulins, at d 8 for acute phase proteins, at d 8 and d 21 for metabolomics analysis. Jejunum was sampled for morphometry, quantification of apoptosis, cell proliferation, neutral and acid mucine and IgA secretory cells, and microarray analysis at d 21. Jejunum and cecum contents were collected for microbiota at d 21. Results AB and BAS reduced the fecal score impairment compared to CO (P < 0.05) at d 14. Body weight (BW), average daily weight gain (ADWG), average daily feed intake (ADFI) and gain to feed ratio (G:F) did not differ between Bacillus groups and CO. AB improved BW at d 7, d 14 and d 21, ADWG ADFI and G:F from d 0 to d 7 (P < 0.05). At d 8, CO had higher plasma arginine, lysine, ornithine, glycine, serine and threonine than other groups, and higher haptoglobin than AB (P < 0.05). At d 21, CO had lower blood glycine, glutamine and IgA than BAS. Morphology, cells apoptosis and mucins did not differ. BAS and AB increased the villus mitotic index. Transcriptome profile of BAS and AB were more similar than CO. Gene sets related to adaptive immune response were enriched in BAA, BAS and AB. CO had enriched gene set for nuclear structure and RNA processing. CO had a trend of higher Enterobacteriaceae in cecum than the other groups (P = 0.06). Conclusion Bacillus subtilis DSM25841 treatment may reduce ETEC F4ac infection in weaned piglets, decreasing diarrhea and influencing mucosal transcriptomic profile.

BackgroundColostrum is the first secretion produced by mammary glands during the hours immediately preceding and succeeding parturition. This secretion differs from milk and represents an essential vehicle of passive immunity, prebiotic compounds and growth factors involved in intestinal development. Most of the literature concerning colostrum composition refers mainly to human and cow; and little is known about pig colostrum metabolome and how it varies between pig breeds and different farrowing parity. Thus, the aim of the present research is to provide new information about pig colostrum composition and the associations between metabolites, the sows’ breed and the survival and growth rates of their litters.ResultsColostrum samples were gathered from 58 parturitions of sows belonging to three different breeds chosen for their importance in Italian heavy pig production: 31 Large White, 15 Landrace and 12 Duroc respectively. The defatted and ultrafiltered colostrum samples were analysed using 1H–NMR spectroscopy. Principal Components Analysis (PCA) was assessed on the obtained spectra. In addition, using a Stepwise Regression and a Linear Regression analyses the metabolites named after the signals assignment were tested for their associations with piglets’ performances. Twenty-five metabolites were identified, comprehending monosaccharides, disaccharides (such as lactose), organic acids (lactate, citrate, acetate and formate), nitrogenous organic acids (such as creatine) and other compounds, including nucleotides. PCA results evidence a clustering due to breed and season effects. Lactose was the main compound determining the assignment of the samples into different clusters according to the sow breed. Furthermore, some metabolites showed to be associated with piglets’ performance and survival traits: acetate and taurine were positively related to litter weight gain and piglets’ survival rate, respectively, while dimethylamine and cis-aconitate were linked to new-borns’ impaired ability to survive.ConclusionsThe results obtained suggest that colostrum composition is affected by breed, which, together with environmental conditions, may cause changes in colostrum metabolites content with possible consequences on piglets’ performances. Among the identified metabolites, acetate, taurine, dimethylamine and cis-aconitate showed consistent associations with piglets’ survival rate and litter weight gain, implying that these compounds may affect new-borns’ ability to survive.Electronic supplementary materialThe online version of this article (10.1186/s40104-018-0237-1) contains supplementary material, which is available to authorized users.

Porcine colostrum lipid classes and fatty acids (FA) were characterized in 6 pools (from 69 samples) from 3 sow breeds (Italian Large White, Italian Landrace, and Italian Duroc) and different parity orders (only Large White). Triacylglycerols (TAG; 94.44 expressed as g/100 g of fat) were the most abundant lipid class, followed by diacylglycerols (DAG; 3.36 g/100 g of fat), free fatty acids (FFA; 0.98 g/100 g of fat), and cholesterol (0.84 g/100 g of fat). The main FAs found in swine colostrum were palmitic (27.29%, expressed as g/100 g of total FA), oleic (28.81%), and linoleic (23.39%) acids. Both the breed of sow and parity order affected the FA and lipid composition. The results suggest that the FA composition of swine colostrum is similar to that of human colostrum and could represent a new source of nutrients for human infants, after further assessment of hygienic and quality aspects. The swine model could be an opportunity for a better understanding of colostrum effects on newborns.

The development of effective feeding strategies to reduce the detrimental effect of enterotoxigenic F4ac (ETEC) plays a crucial role in reducing the occurrence of therapeutic intervention with antibiotics in livestock. The ability of CNCM I-4407 (SCC), supplied in different patterns to counteract ETEC infection in weaned pigs, was evaluated. Fifty pigs weaned at 24 d were then divided into 5 groups: control (CO), CO + colistin (AB), CO + 5 × 10(10) cfu of SCC/ kg feed, from d 0 to 21 (PR), CO + 5 × 10(10) cfu of SCC/ kg feed from d 7 to 11 (CM), and CO + 1 shot of 2 × 10(11) cfu of SCC when the first diarrhea appeared (CU). On d 7 postweaning, all the pigs were orally challenged with 10(8) cfu of ETEC. Blood samples were taken from the pigs (d 7, 8, 12, and 21) while the fecal excretion of ETEC was assessed on d 7 and 10. Fecal consistency was scored from 12 h before infection to 144 h postinfection (p.i.). On d 21, the pigs were sacrificed. The in vitro adhesion test on the intestinal villi confirmed individual susceptibility to ETEC, excluding the presence of resistant pigs. Growth performance did not differ between the treatments. Mortality was reduced in the AB group (P< 0.01) and, marginally, in the PR group (P = 0.089) when compared to the CO group. The CO group had a higher fecal score than AB in the period of observation (from P = 0.01 to P< 0.001). Yeast administration reduced the fecal score when compared to the CO group 12 and 48 h p.i. (P = 0.04). Total IgA never differed among the treatments, but the ETEC-specific IgA concentration was lower in the AB group than in CO (P = 0.04) at d 12. Four days p.i., the pigs fed live yeast had reduced ETEC excretion compared with the CO pigs (P = 0.05). Blood concentrations of dodecenoyl-L-carnitine (P < 0.01), glutaryl-L-carnitine/hydroxyhex¬anoyl-L-carnitine, phosphatidylcholine diacyl and phosphatidylcholine diacyl (P = 0.01 and P< 0.01, respectively), and α-amino adipic acid (P < 0.01) were reduced in the AB group compared to the CO group; PR + CM reduced the concentration of sphingomyelin-ceramide (P = 0.02) and increased the concentration of decadienyl-L-carnitine (C10:2; P= 0.02) vs. CO. The CM group had an increased concentration of C10:2 (P < 0.01) compared to the PR group. In conclusion, the administration of live yeast, even in concomitance with ETEC infections, reduces pig illness and mortality. The strain of SCC tested did not show a therapeutic effect.

Putative genetic markers have been associated with ETEC F4 (Mucine 4 [MUC4]; MUC4GG;CG as susceptible; MUC4CC as resistant) and F18 (Fucosyltransferase 1 [FUT1]; FUT1GG;AG as susceptible; FUT1AA as resistant) resistances respectively. In this study, 71 post‐weaning pigs were followed from d0 (35 days old) to d42 (77 days of age) to investigate the effect of MUC4 or FUT1 genotypes on the mid‐jejunal microbiota composition, pigs expression of genes related to inflammation (IL8, GPX2, REG3G, TFF3, CCL20 and LBPI) and glycomic binding pattern profile (Ulex europaeus agglutinin I [UEA] fucose‐binding lectin and peanut agglutinin [PNA] galactose‐specific), and on blood plasma targeted metabolomics profile, faecal score and performance parameters of growing healthy pigs. The MUC4 and FUT1 resistant genotypes improved the pigs’ growth performance and had firmed faecal score susceptible genotypes in d0–d21 period. Pigs with MUC4GG genotype had a higher jejunal expression of genes relate to immune function (CCL20 and REG3G) than MUC4CG and MUC4CC pigs (p < 0.05). MUC4CG pigs had higher expression of TFF3 (implicated in mucosal integrity) than MUC4GG and MUC4CC (p < 0.05). FUT1 influenced the alpha‐ and beta‐jejunal microbial indices. The FUT1AA group had a higher number of operational taxonomic units (OTUs) belonging to Lactobacillus genus, while FUT1GG group had a higher number of OTUs belonging to Veillonella genus. MUC4CC pigs had lower scores for UEA on brush borders and goblet cells in villi than MUC4GG (p < 0.05). FUT1AA pigs had lower UEA positivity and higher PNA positivity on brush borders and goblet cells than FUT1AG and FUT1GG (p < 0.05). Both FUT1 and MUC4 influenced the metabolic profile of healthy pigs. Results highlight the role of MUC4 and FUT1 on pig intestinal homoeostasis and improved the knowledge regarding the potential interaction between host genetics, gut microbiota composition and host metabolism in a healthy status.