The intestinal microbiota affect various physiological traits of host animals such as brain development, obesity, age, and the immune system. In the swine industry, understanding the relationship between intestinal microbiota and growth stage is essential because growth stage is directly related to the feeding system of pigs, thus we studied the intestinal microbiota of 32 healthy pigs across five sows at 10, 21, 63, 93, and 147 d of ages. The intestinal microbiota were altered with growth of pigs and were separated into three distinct clusters. The relative abundance of several phyla and genera were significantly different between growth stages. We observed co-occurrence pattern of the intestinal microbiota at each growth stage. In addition, we predicted the functions of the intestinal microbiota and confirmed that several KEGG pathways were significantly different between growth stages. We also explored the relationship between the intestinal microbiota and innate factors such as the maternal effect and gender. When pigs were young, innate factors affected on construction of intestinal microbiota, however this tendency was disappeared with growth. Our findings broaden the understanding of microbial ecology, and the results will be used as a reference for investigating host-microbe interactions in the swine industry.

In the poultry industry, many efforts have been undertaken to further improve the growth performance of broilers and identification and modulation of body weight (BW)-related bacteria could be one of the strategies to improve productivity. However, studies regarding the relationship between microbiota and BW are scarce. The objective of the present study was to investigate the relationship between microbiota and BW in different sections of the gastrointestinal tract (GIT). A total of twenty 18-day-old birds were selected based on the BW, and samples were collected from the three different sections of the GIT, which included the crop, ileum and cecum. Bacterial genomic DNA was extracted from the samples, and the V4 region of 16S rRNA gene were amplified. Amplicons were sequenced on Illumina MiSeq, and microbial communities were analyzed by using QIIME. In principal coordinate analysis, bacterial communities were clustered into three groups, based on the sections of GIT. Several BW-related bacterial groups were identified from linear regression analysis. At the genus level, Streptococcus from the ileum as well as Akkermansia in both ileum and cecum, were negatively related to BW, whereas Bifidobacterium in the ileum and Lactococcus in the cecum showed a positive correlation. The results from the present study showed that particular bacterial communities in the GIT were related to BW, and the study has broadened the understanding of the intestinal microbial ecosystem in broiler chickens.Electronic supplementary materialThe online version of this article (doi:10.1186/s40064-016-2604-8) contains supplementary material, which is available to authorized users.

Due to the ban on the use of antimicrobial growth promoters in livestock feeds, understanding the relationship between intestinal microbiota and the physiology of the host has become very important for improving livestock performance. In this study, we investigated the relationship between intestinal microbiota and body weights of weaned piglets. Lighter (n = 9) and heavier (n = 9) 9-week-old weaned piglets were selected from approximately one hundred individuals based on their body weights. Their fecal microbial communities were analyzed by sequencing the V4 region of the 16S rRNA gene. The microbial richness estimators of the heavier piglets were significantly higher than those of the lighter piglets. At the phylum level, the microbiota of the heavier group had significantly higher levels of Firmicutes and a higher Firmicutes-to-Bacteroidetes ratio than that of the lighter group. At the genus level, the levels of several genera, such as Anaerococcus and Lactococcus, were significantly different in the two groups. In particular, the lighter group had significantly higher levels of opportunistic pathogenic bacteria, such as Anaerotruncus and Bacteroides, compared with those of the heavier group. Moreover, the levels of bacteria expressing the components of several metabolic pathways were significantly different in the two groups. The microbiota of the heavier group had a significantly higher involvement in three KEGG pathways concerned with xenobiotic degradation than that of the lighter group. These results may provide insights into host-microbe interactions occurring in the piglet intestine and will be useful in establishing a strategy for improving growth performance in the swine industry.

Lactobacillus plantarum is a lactic acid bacterium that promotes animal intestinal health as a probiotic and is found in a wide variety of habitats. Here, we investigated the genomic features of different clusters of L. plantarum strains via pan-genomic analysis. We compared the genomes of 108 L. plantarum strains that were available from the NCBI GenBank database. These genomes were 2.9-3.7 Mbp in size and 44-45% in G+C content. A total of 8,847 orthologs were collected, and 1,709 genes were identified to be shared as core genes by all the strains analyzed. On the basis of SNPs from the core genes, 108 strains were clustered into five major groups (G1-G5) that are different from previous reports and are not clearly associated with habitats. Analysis of group-specific enriched or depleted genes revealed that G1 and G2 were rich in genes for carbohydrate utilization (L-arabinose, L-rhamnose, and fructooligosaccharides) and that G3, G4, and G5 possessed more genes for the restrictionmodification system and MazEF toxin-antitoxin. These results indicate that there are critical differences in gene content and survival strategies among genetically clustered L. plantarum strains, regardless of habitats.

The gut microbiota in chicken has long been studied, mostly from the perspective of growth performance. However, there are some immunological studies regarding gut homeostasis in chicken. Although CD4+CD25+ T cells are reported to act as regulatory T cells (Tregs) in chicken, there have been no studies showing the relationship between gut microbiota and Tregs. Therefore, we established a model for ‘antibiotics (ABX)-treated chickens’ through administration of an antibiotic cocktail consisting of ampicillin, gentamycin, neomycin, metronidazole, and vancomycin in water for 7 days. CD4+CD8−CD25+ and CD4+CD8+CD25+ T cells in cecal tonsils were significantly decreased in this model. Gram-positive bacteria, especially Clostridia, was responsible for the changes in CD4+CD8−CD25+ or CD4+CD8+CD25+ T cells in cecal tonsils. Feeding ABX-treated chickens with acetate recovered CD4+CD8−CD25+ and CD4+CD8+CD25+ T cells in cecal tonsils. GPR43, a receptor for acetate, was highly expressed in CD4+CD8−CD25+ T cells. In conclusion, our study demonstrated that the gut microbiota can regulate the population of CD4+CD8−CD25+ and CD4+CD8+CD25+ T cells, and that acetate is responsible for the induction of CD4+CD8−CD25+ T cells in cecal tonsils via GPR43.

The objective of this study was to evaluate the anti-methanogenic effect of rhubarb (Rheum spp.) on in vitro, in vivo, and bacterial community composition using Quantitative Insights into Microbial Ecology sequencing. Rhubarb root powder was tested at different concentrations (0, 0.33, 0.67, and 1.33 g/L) in vitro, and all incubations were carried out in triplicate two runs on separate days. Concentrations of 0.67 and 1.33 g/L rhubarb significantly (P < 0.05) reduced methane production and the acetate : propionate ratio compared with those of the Control, without adverse effects on total volatile fatty acids and total gas production. In the second in vivo trial, four Hanwoo (Korean native) steers (live bodyweight, 556 ± 46 kg) with a ruminal cannula were housed individually in metabolic stalls and fed a basal diet twice daily in equal amounts at 0900 hours and 2100 hours. The before rhubarb treatment (before treatment) duration was 24 days for all steers; 14 days were used for diet adaptation and 10 days were used for gas samples collected 1, 2, and 3 h after the morning feeding on Days 3, 5, 7, and 9. We used three syringe needles passed through the ruminal cannula stopper at different time points as a simple and rapid method to sample rumen gas. Thereafter, three mesh bags containing 30 g of sliced rhubarb root each were placed at different depths in the rumen of each steer for 14 days (after treatment), and gas samples were collected on Days 4, 7, 10, 12, and 13. The results showed a significant (P < 0.05) decrease in methane concentration from the rhubarb-treated steers and provide the evidence that this method would be useful for in vivo screening of anti-methanogenic feed additives or plant material. Furthermore, 16s RNA sequencing after treatment showed increases in the numbers of Prevotella, and Lactobacillus, but decreases in Methanobrevibacter. In conclusion, rhubarb had an anti-methanogenic effect in vitro and in vivo, and the increase in the number of Prevotella shifted ruminal fermentation towards propionate production.

Enterococci are lactic acid bacteria that are commonly found in food and in animal gut. Since 16 S ribosomal RNA (rRNA) sequences, genetic markers for bacterial identification, are similar among several Enterococcus species, it is very difficult to determine the correct species based on only 16 S rRNA sequences. Therefore, we developed a rapid method for the identification of different Enterococcus species using comparative genomics. We compared 38 genomes of 13 Enterococcus species retrieved from the National Center of Biotechnology Information database and identified 25,623 orthologs. Among the orthologs, four genes were specific to four Enterococcus species (Enterococcus faecalis, Enterococcus faecium, Enterococcus hirae, and Enterococcus durans). We designed species-specific primer sets targeting the genes and developed a multiplex PCR using primer sets that could distinguish the four Enterococcus species among the nine strains of Enterococcus species that were available locally. The multiplex PCR method also distinguished the four species isolated from various environments, such as feces of chicken and cow, meat of chicken, cow, and pigs, and fermented soybeans (Cheonggukjang and Doenjang). These results indicated that our novel multiplex PCR using species-specific primers could identify the four Enterococcus species in a rapid and easy way. This method will be useful to distinguish Enterococcus species in food, feed, and clinical settings.

Although there have been many attempts to produce ω-3 fatty acid-rich eggs using alpha-linolenic acid (ALA) that is a popular fatty acid in the poultry feed industry, only limited knowledge about the effects of ALA-enriched diets on chicken fecal microbiota is currently available. Herein we examined the changes in the fecal microbiota composition, egg quality traits and fatty acid composition of the egg yolks of laying hens fed ALA-rich flaxseed oil for 8 weeks. The animals fed the experimental diets that contained 0 % (group C), 0.5 % (group T1), and 1.0 % (group T2) of flaxseed oil, respectively, and eggs and feces were obtained for the analyses. ω-3 fatty acids, including ALA, were increased in T1 and T2 compared with C. Furthermore, the freshness of eggs was improved with no side effects on the eggs. The diet also changed the fecal microbiota; Firmicutes was increased in T1 and T2 (48.6 to 83 and 79.6 %) and Bacteroidetes was decreased (40.2 to 8.8 and 4.2 %). Principal coordinate analysis revealed that Lactobacillus, among the 56 examined genera, was the most influenced bacterial group in terms of the fecal microbial community shifts. These results indicate that ALA-rich diets influenced both the egg and fecal microbiota in beneficial manners in laying hens although the association between the fatty acid composition of the egg yolk and the fecal microbiota was not clear. This study is a first step to understand the effect of flaxseed oil as well as intestinal microbiota of laying hens.