Impact of four fiber-rich supplements on nutrient digestibility, colostrum production, and farrowing performance in sows

This study aimed to investigate the impact of dietary fiber (DF) sources on sow and litter performance, and apparent total tract digestibility (ATTD) of gross energy (GE) and nutrients. A total of 48 sows were stratified for body weight at mating and randomly assigned to one of four DF sources (mixed fiber [MF], palm kernel expellers [PKE], sugar beet pulp [SBP], or soy hulls [SH]) and fed the diet from mating until farrowing. Within DF treatments, sows were supplemented with one of two extra energy sources (glycerol or sugar dissolved in water), whereas a third group (control) received water from day 108 of gestation until farrowing. The number of total born, live-born, and stillborn pigs; birth time and birth weight of the pigs; farrowing duration; and farrowing assistance (FA) were recorded. Live-born pigs were weighed again at 12 and 24 h after birth to record weight gain, which was used to estimate intake and yield of colostrum. Blood samples were collected once daily from day −3 relative to farrowing until day 1 after farrowing in sows and once from selected pigs right after birth. Fecal samples were collected on day 114 of gestation and colostrum at 0, 12, 24, and 36 h after onset of farrowing. Intake of soluble and insoluble nonstarch polysaccharides (NSP) was greater for SBP (P < 0.001) and PKE (P < 0.001) supplemented sows, respectively, when compared with other groups. Farrowing duration and stillbirth rate were not affected by DF sources, but PKE and SH supplemented sows had greater FA than SBP and MF supplemented sows (P < 0.001). Extra energy supplement did not improve the farrowing performance. Concentration (P = 0.02) and output (P = 0.04) of dry matter in colostrum, and ATTD of GE (P < 0.001) and crude protein (CP; P < 0.001) were lower for PKE supplemented sows than in sows from the remaining groups. Intake of insoluble NSP correlated negatively with ATTD of GE (P < 0.001) and CP (P < 0.001). Concentrations of glucose (P < 0.001), lactate (P < 0.001), CO2 (P < 0.001), and HCO3 (P < 0.001) in sows blood were increased with time progress relative to farrowing. Newborn pigs from PKE supplemented sows had greater concentration of lactate (P = 0.02) and lower blood pH (P = 0.02) than the remaining treatments. In conclusion, PKE supplement reduced ATTD of GE and CP, and concentration and output of dry matter in colostrum but increased FA. Results of this experiment indicated that the use of PKE as a fiber source for late gestating sows should be avoided.

The Nutritional Significance of Intestinal Fungi: Alteration of Dietary Carbohydrate Composition Triggers Colonic Fungal Community Shifts in a Pig Model

ABSTRACT Carbohydrates represent the most important energy source in the diet of humans and animals. A large number of studies have shown that dietary carbohydrates (DCHO) are related to the bacterial community in the gut, but their relationship with the composition of intestinal fungi is still unknown. Here, we report the response of the colonic fungal community to different compositions of DCHO in a pig model. Three factors, ratio (2:1, 1:1, and 1:2) of amylose to amylopectin (AM/AP), level of nonstarch polysaccharides (NSP; 1%, 2%, and 3%), and mannan-oligosaccharide (MOS; 400, 800, and 1,200 mg/kg body weight), were considered according to an L9 (34) orthogonal design to form nine diets with different carbohydrate compositions. Sequencing based on an Illumina HiSeq 2500 platform targeting the internal transcribed spacer 1 region showed that the fungal community in the colon of the pigs responded to DCHO in the order of MOS, AM/AP, and NSP. A large part of some low-abundance fungal genera correlated with the composition of DCHO, represented by Saccharomycopsis, Mrakia, Wallemia, Cantharellus, Eurotium, Solicoccozyma, and Penicillium, were also associated with the concentration of glucose and fructose, as well as the activity of β-d-glucosidase in the colonic digesta, suggesting a role of these fungi in the degradation of DCHO in the colon of pigs. Our study provides direct evidence for the relationship between the composition of DCHO and the fungal community in the colon of pigs, which is helpful to understand the function of gut microorganisms in pigs. IMPORTANCE Although fungi are a large group of microorganisms along with bacteria and archaea in the gut of monogastric animals, the nutritional significance of fungi has been ignored for a long time. Our previous studies revealed a distinct fungal community in the gut of grazing Tibetan pigs (J. Li, D. Chen, B. Yu, J. He, et al., Microb Biotechnol 13:509–521, 2020, https://doi.org/10.1111/1751-7915.13507) and a close correlation between fungal species and short-chain fatty acids, the main microbial metabolites of carbohydrates in the hindgut of pigs (J. Li, Y. Luo, D. Chen, B. Yu, et al., J Anim Physiol Anim Nutr 104:616–628, 2020, https://doi.org/10.1111/jpn.13300). These groundbreaking findings indicate a potential relationship between intestinal fungi and the utilization of DCHO. However, no evidence directly proves the response of intestinal fungi to changes in DCHO. Here, we show a clear alteration of the colonic fungal community in pigs triggered by different compositions of DCHO simulated by varied concentrations of starch, nonstarch polysaccharides (NSP), and oligosaccharides. Our results highlight the potential involvement of intestinal fungi in the utilization of nutrients in monogastric animals.

Rye Bread Defects: Analysis of Composition and Further Influence Factors as Determinants of Dry-Baking

For decades, the evaluation of rye milling products have been aimed at detecting raw material defects that are linked to excessive enzyme activity. Those defects were indirectly characterized by the rheological methods of the dough or the final products. However, such methods do not sufficiently reflect the baking properties of all rye flours present on the market. A further problem is the continuing climate change, which affects compound composition in rye. So far, these bread defects can only be corrected by process engineering (e.g., extended dough resting). Therefore, it is necessary to characterize the main determinants of the quality defects prior to the baking process in order to predict baking quality and not waste raw material, energy, and time. In this study, it was found that the water accessibility of starch for gelatinization and its partial inhibition by certain components play a major role in baking quality. Specifically, high amounts of insoluble nonstarch-polysaccharides (NSPSs) and a hindered denaturation of proteins seem to be an indication and reason for poor baking quality. However, traditional quantitative analysis of the ingredients and properties of the rye milling products (e.g., falling number, protein content, amylographic data) does not allow any reliable conclusions about rye flour suitability for use as bread rye. It can be concluded that more complex compositional aspects (e.g., complexation of compounds) need to be characterized for future quality control of rye.

High-Quality Draft Genome Sequences of Marine Fish Gut Bacillus sp. Strains ABP1 and ABP2 with Nonstarch Polysaccharide Hydrolytic Potential

Here, we present the genome sequences of two environmental Bacillus strains with broad hydrolytic capacity toward different nonstarch polysaccharides (NSPs) that were isolated from the gut of marine fish fed NSP-rich diets. Several genes that may contribute to the NSP-degrading behavior were identified through in silico analysis.

Using compositional principal component analysis to describe children's gut microbiota in relation to diet and body composition

ABSTRACT Background Gut microbiota data obtained by DNA sequencing are complex and compositional because of large numbers of detectable taxa, and because microbiota characteristics are described in relative terms. Nutrition researchers use principal component analysis (PCA) to derive dietary patterns from food data. Although compositional PCA methods are not commonly used to describe patterns from complex microbiota data, this approach would be useful for identifying gut microbiota patterns associated with diet and body composition. Objectives To use compositional PCA to describe the principal components (PCs) of gut microbiota in 5-y-old children and explore associations between microbiota components, diet, and BMI z-score. Methods A fecal sample was provided by 319 children aged 5 y. Their primary caregiver completed a validated 123-item quantitative FFQ. Body composition was determined using DXA, and a BMI z-score was calculated. Compositional PCA identified characterizing taxa and weightings for calculation of gut microbiota PC scores at the genus level, and was examined in relation to diet and body size. Results Three gut microbiota PCs were found. PC1 (negative loadings on uncultured Christensenellaceae and Ruminococcaceae) was related to lower BMI z-scores and longer duration of breastfeeding (per month) (β = −0.14; 95% CI: −0.26, −0.02; and β = 0.02; 95% CI: 0.003, 0.34, respectively). PC2 (positive loadings on Fusicatenibacter and Bifidobacterium; negative loadings on Bacteroides) was associated with a lower intake of nuts, seeds, and legumes (β = −0.05 per gram; 95% CI: −0.09, −0.01). When adjusted for fiber intake, PC2 was also associated with higher BMI z-scores (β = 0.12; 95% CI: 0.01, 0.24). PC3 (positive loadings on Faecalibacterium, Eubacterium, and Roseburia) was associated with higher intakes of fiber (β = 0.02 per gram; 95% CI: 0.003, 0.04) and total nonstarch polysaccharides (β = 0.02 per gram; 95% CI: 0.003, 0.04). Conclusions Our results suggest that specific gut microbiota components determined using compositional PCA are associated with diet and BMI z-score. This trial was registered at clinicaltrials.gov as NCT00892983.