Project description:In this study, we studied the fibrolytic potential of the rumen microbiota in the rumen of 6 lambs separated from their dams from 12h of age and artificially fed with milk replacer (MR) and starter feed from d8, in absence (3 lambs) or presence (3 lambs) of a combination of the live yeast Saccharomyces cerevisiae CNCM I-1077 and selected yeast metabolites. The fibrolytic potential of the rumen microbiota of the lambs at 56 days of age was analyzed with a DNA microarray (FibroChip) targeting genes coding for 8 glycoside hydrolase (GH) families.
Project description:Fifiteen male Hu-lambs were randomly assigned to three groups (n = 5 for each group). Lambs in the control (CON), HG, and HP groups received low-grain nonpelleted diet (30% concentrate), HG diet (70% concentrate), and HP diet containing the same ingredients and nutritions with HG group, respectivley. After 60-day treatment, all the lambs were slaughtered to collect ruminal epihelium samples for transcriptome analysis.
Project description:Feeding animals with either concentrates or alfalfa grazing has been proven to reduce the oxidative process that occurs in meat products. Indoor-kept lambs were fed a standard concentrate (n=7, C) before slaughtering all animals at 22–24 kg of live weight. Simultaneously, 7 unweaned lambs grazed in alfalfa paddocks (ALF) with their dams. Global transcriptomic data of liver with the Affymetrix® Ovine Gene 1.1 microarray was used. When ALF group was compared with C group, were identified 96 genes differentially expressed. Among these genes 92 were down- regulated and 4 were up- regulated. The clusters corresponding to gene expression profiles from treatments were clearly separated from each other. These differentially expressed genes were selected for a functional analysis by using DAVID. Three major gene clusters associated with “sterol biosynthesis (EBP, MVD, HMGCR, CYP51A1, HMGCS1, NR0B2, C14ORF1, FDFT1, SQLE, DHCR7, SC5DL, DHCR24, NSDHL) , “lipid biosynthetic process (ACACA, CYP51A1, FADS1, FADS2, SCD y SC5DL)”, “cholesterol metabolic process (EBP, MVD, HMGCR, CYP51A1, SQLE, DHCR7, HMGCS1, NR0B2, DHCR24, FDFT1, NSDHL)” were found.
Project description:<p>Antibiotics were once used in animal production to improve productivity and resistance to pathogenic microbiota. However, due to its negative effects, the search for a new class of substances that can replace its efficacy has become one of the urgent problems to be solved. Plant essential oils (EOs) as a natural feed additive can maintain microbiota homeostasis and improve animal performance. However, its specific mechanism of action needs to be further investigated. Therefore, we added different doses of essential oil of Zanthoxylum bungeanum (EOZB) to the diets of Small Tail Han Sheep hybrid male lambs (STH lambs) to evaluate the effect of EOZB on rumen enzyme activity, rumen microbiology and its metabolites in STH lambs. Twenty STH lambs were randomly divided into four groups (n = 5/group) and provided with the same diet. The dietary treatments were as follows: basal diet (BD) group; BD+EOZB 5 mL/kg group; BD+EOZB 10 mL/kg group; BD+EOZB 15 mL/kg group. We found that EOZB 10 ml/kg helped to increase rumen pectinase (P<0.05) and lipase (P<0.05) activities. Microbial 16S rRNA gene analysis showed that EOZB significantly altered the abundance of rumen microbiota (P<0.05). LC/GC-MS metabolomic analysis showed that the addition of EOZB produced a total of 1073 differential metabolites, with 58 differential metabolites remaining after raising the screening criteria. These differential metabolites were mainly enriched in glycerophospholipid metabolism, choline metabolism in cancer, retrograde endocannabinoid signaling, benzoxazinoid biosynthesis, and protein digestion and absorption. Correlation analysis showed that some rumen microbiota were significantly correlated with differential metabolite and enzyme activities.</p>
Project description:Total RNA from rumen epithelial tissues of cows fed alfalfa hay (AL),Rice straw (RS) or Corn stover (CS)diet were sequenced using Illumina Hiseq 2000 system. For comparative analysis, differentially expressed genes were identified with edgeR.