Project description:The aim of this study was to investigate whether long term intake of pea fiber would improve colonic barrier, bacterial profile and alter colonic gene expression using DNA microarray. Fifty weaned pigs were randomly allocated into 2 groups receiving control and fibrous diet with inclusion of pea fiber from weaning age until d 160. The two diets had similar nutrient levels. Pigs fed pea fiber diet (PF diet) had markedly decreased overall average daily feed intake (ADFI) and Feed:Gain in growing and finishing period (P<0.05). In addition, long term intake of PF diet induced deeper crypt (+50 %, P<0.05), increased protein expression of colonic mucin and sIgA (+13～16 %, P<0.05). Resulting from the increased lactobacillus content (P<0.05), moreover, pigs fed PF diet had significantly higher concentration of colonic total short chain fatty acid (SCFA) and acetic acid. DNA microarray results indicated that feeding PF diet induced alterations in the expression of colonic cancer, immune response and lipid metabolism-related genes, as well as genes involved in signal pathway such as intestinal immune network for IgA production, PPAR signaling pathway and nutrient metabolism-related pathways. Collectively, our results suggested that long term intake of PF diet would improve colonic health via altering colonic bacteria profile, colonic barriers, immune and metabolism related protein or gene expressions. A total of 50 weaned pigs (Duroc×Landrace×Yorkshire, initial body weight: 7.2±0.5 kg) were randomly allocated to 2 groups with 5 pens each group and 5 pig each pen. Pigs were fed control (Control) and fibrous diets (10～20 % inclusion of pea fiber, PF) from weaning at 28 day to 160 day-old-age, which is subjected to phase feeding by weaning diet (weaning to d 30 post-weaning), growing diet (d 30～90 postweaning) and finishing diet (d 90～160 postweaning) according to their physiological stage. At d 160 postweaning, four pigs each group were selected to be slaughtered for collection of colonic tissues and DNA microarray was applied to the colonic tissues for analysis of gene expression.

Project description:Leber2015 - Mucosal immunity and gut microbiome interaction during C. difficile infection This model is described in the article: Systems Modeling of Interactions between Mucosal Immunity and the Gut Microbiome during Clostridium difficile Infection. Leber A, Viladomiu M, Hontecillas R, Abedi V, Philipson C, Hoops S, Howard B, Bassaganya-Riera J. PLoS ONE 2015; 10(7): e0134849 Abstract: Clostridium difficile infections are associated with the use of broad-spectrum antibiotics and result in an exuberant inflammatory response, leading to nosocomial diarrhea, colitis and even death. To better understand the dynamics of mucosal immunity during C. difficile infection from initiation through expansion to resolution, we built a computational model of the mucosal immune response to the bacterium. The model was calibrated using data from a mouse model of C. difficile infection. The model demonstrates a crucial role of T helper 17 (Th17) effector responses in the colonic lamina propria and luminal commensal bacteria populations in the clearance of C. difficile and colonic pathology, whereas regulatory T (Treg) cells responses are associated with the recovery phase. In addition, the production of anti-microbial peptides by inflamed epithelial cells and activated neutrophils in response to C. difficile infection inhibit the re-growth of beneficial commensal bacterial species. Computational simulations suggest that the removal of neutrophil and epithelial cell derived anti-microbial inhibitions, separately and together, on commensal bacterial regrowth promote recovery and minimize colonic inflammatory pathology. Simulation results predict a decrease in colonic inflammatory markers, such as neutrophilic influx and Th17 cells in the colonic lamina propria, and length of infection with accelerated commensal bacteria re-growth through altered anti-microbial inhibition. Computational modeling provides novel insights on the therapeutic value of repopulating the colonic microbiome and inducing regulatory mucosal immune responses during C. difficile infection. Thus, modeling mucosal immunity-gut microbiota interactions has the potential to guide the development of targeted fecal transplantation therapies in the context of precision medicine interventions. This model is hosted on BioModels Database and identified by: BIOMD0000000583. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:To investigate effects of long-term intake of RPS on gene expression in the colon and liver of pigs,thirty-six Duroc × Landrace × Large White growing barrows were randomly allocated to corn starch (CS) and RPS groups. Each group consisted of six replicates (pens), with three pigs per pen. Pigs in the CS group were offered a corn/soybean-based diet, while pigs in the RPS group were put on a diet in which 230 g/kg (growing period) or 280 g/kg (finishing period) purified corn starch was replaced with purified RPS during a 100-day trial. Liver transcriptomic results showed that the expression of CD36, CPT1B and ACADM was down-regulated, while AGPAT4, GPAT, FABP1 and FABP3 were up-regulated by the RPS diet, indicating a decrease in fatty acid intake and synthesis, and an increase in fatty acid oxidation and glycerophospholipid synthesis.Analysis of the colonic transcriptome profiles revealed that the RPS diet changed the colonic expression profile of the host genes mainly involved in immune response pathways. RPS significantly increased proinflammartory cytokine IL-1? gene expression and suppressed genes involved in lysosome. Thirty-six Duroc × Landrace × Large White growing barrows (70 days of age, 23.78 ± 1.87 kg) were randomly allocated to two groups, each group consisting of three pigs per pen, and six replicates. Pigs in the control group were offered a corn/soybean-based diet, while 230 g/kg purified corn starch (CS) was replaced with purified RPS in the RPS diet group. Diets were formulated according to the nutrient requirements of the National Research Council (1998). When animals reached the age of 120 days, diets were adapted to the nutrient requirements of the animals (finishing diet) and the amount of purified starch increased to 280 g of CS or RPS per kilogram of feed. Pigs had unlimited access to feed and water throughout the experimental period, which consisted of two 50-day trials in which the pigs consumed the growing diet (days 0-50) and finishing diet (days 51-100), respectively. On day 100, one pig from each replicate that met the target slaughter weight (105 to 110 kg) was slaughtered. The liver and colonic mucosa tissues were collected and preserved in liquid nitrogen for gene expression analysis.

Project description:Purpose: The aim of present research was to identify miRNAs potentially related with muscle growth in pig Methods: miRNA-seq analysis was performed on longissimus lumborum samples collected from 13 pigs representing two sire-line breeds – Pietrain and Hampshire. Based on dissection data, pigs were selected from a larger population in terms of weight of loin muscle to obtain the most extreme groups in each breed The miRNA libraries were constructed form total RNA with the use Neb Next Multiplex Small RNA Library Prep Set for Illumina (New England Biolabs) according to the protocol. The quantification of obtained libraries was performed on a Qubit 2.0 spectrophotometer (Invitrogen, Life Technologies) and a TapeStation 2200 instrument (D1000 ScreenTape; Agilent). The miRNA-seq was performed in 36 single-end cycles on HiScanSQ platform (Illumina) with the use of TruSeq SR Cluster Kit v3- CBOT-HS and TruSeq SBS Kit v 3 - HS (Illumina). Differentially expressed microRNAs were detected using the DESeq2 software while validation was performed by qPCR. Results: miRNA-seq approach allowed to identify 196 known and 149 potentially novel miRNAs in both breeds. The comparison of miRNA profiles between pig groups with different loin weight showed differential expression of 57 microRNAs for Hampshire pigs and 34 miRNAs for Pietrain pigs. Furthermore, 18 common microRNAs with differential expression were identified for both breeds tested. The Gene Ontology analysis (DIANA mirPath v.3 tool) confirmed that detected genes were involved in regulation of cell cycle, fatty acid biosynthesis, regulation of actin cytoskeleton, lysine degradation and ubiquitin mediated proteolysis. According to the KEGG Database, these DE miRNAs enrich the following pathways, i.a.: the Hippo signaling pathway, TGF-beta signaling pathway and PI3K-Akt signaling pathway. Conclusions: Obtained results allow to propose the panel of miRNAs, which can be related with porcine muscle growth and development. Such analysis can be the basis of future research in terms of identification of candidate miRNAs related with important production traits in pigs.

			Action	DRS
	SRR14527039.fastq.gz	Fastqsanger.gz
	SRR14527040.fastq.gz	Fastqsanger.gz
	SRR14527041.fastq.gz	Fastqsanger.gz
	SRR14527042.fastq.gz	Fastqsanger.gz
	SRR14527043.fastq.gz	Fastqsanger.gz

Dataset Information

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets