Project description:Microbiome DNA from the adhering fraction of a sheep rumen. The RSTs were generated using an improved version of SARST (referred to as iSARST) from the microbiome DNA extracted from the adhering fraction of the rumen content taken from a sheep. The iSARST method is going to be submitted to Nature Biotechnology for publication. Keywords: other
Project description:A healthy rumen is crucial for normal growth and improved production performance of ruminant animals. Rumen microbes participate in and regulate rumen epithelial function, and the diverse metabolites produced by rumen microbes are important participants in rumen microbe-host interactions. SCFAs, as metabolites of rumen microbes, have been widely studied, and propionate and butyrate have been proven to promote rumen epithelial cell proliferation. Succinate, as an intermediate metabolite in the citric acid cycle, is a final product in the metabolism of certain rumen microbes, and is also an intermediate product in the microbial synthesis pathway of propionate. However, its effect on rumen microbes and rumen epithelial function has not been studied. It is unclear whether succinate can stimulate rumen epithelial development. Therefore, in this experiment, Chinese Tan sheep were used as experimental animals to conduct a comprehensive analysis of the rumen microbiota community structure and rumen epithelial transcriptome, to explore the role of adding succinate to the diet in the interaction between the rumen microbiota and host.
Project description:Microbiome DNA from the adhering fraction of a sheep rumen. The RSTs were generated using an improved version of SARST (referred to as iSARST) from the microbiome DNA extracted from the adhering fraction of the rumen content taken from a sheep. The iSARST method is going to be submitted to Nature Biotechnology for publication. Keywords: other
Project description:Ruminant livestock are one of the major contributors to carbon emission contributing the global warming issue. Methane (CH4) produced from enteric microbial fermentation of feed in the reticulo-rumen are known to differ between sheep with different digestive function and fermentation products such as metabolites. However, the molecular mechanism underpinning differences in methane emission remains to be fully elucidated. We extracted a membrane and cytosolic protein fraction of rumen epithelium proteins from both high (H) and low (L) CH4 emitting sheep. Protein abundance differences between the phenotypes were quantified using SWATH-mass spectrometry. We identified 92 proteins annotated as cell surface transporters, of which only solute carrier family (SLC) 40A1 had a greater fold change of protein expression in the high methane emission phenotype. The main difference in protein abundance we found were related to the metabolism of glucose, lactate and processes of cell defence against microbes in the epithelium of sheep in each group. To best of our knowledge, this represents one of the most comprehensive proteomes of ovine rumen epithelium to date.
2023-03-11 | PXD026538 | Pride
Project description:16S rRNA sequencing of rumen microbial of Tibetan sheep
Project description:We obtained comprehensive protein profiles from testes of Tibetan sheep at three developmental stages (including pre-puberty, post-puberty and adulthood) using data-independent acquisition-based proteomic strategy to quantitatively identify the differentially abundant proteins (DAPs) associated with testicular development and function and to unravel the molecular basis of spermatogenesis in Tibetan sheep.
Project description:Chinese indigenous sheep can be classified into two types according to their tail morphology: fat-rumped and thin-tailed sheep, of which the typical breeds are Altay sheep and Tibetan sheep, respectively. To identify the differentially expressed proteins (DEPs) underlying the phenotypic differences between tail types, we used iTRAQ combined with multi-dimensional liquid chromatography tandem mass spectrometry (LC-MS/MS) technology to detect candidate proteins. We then subjected these to a database search, and identified the DEPs. Finally, bioinformatics technology was used to carry out GO functional and KEGG pathway analyses. A total of 3248 proteins were identified, of which 44 were up-regulated and 40 were down-regulated DEPs. Analyzing their GO function terms and KEGG pathways revealed that the functions of these DEPs are mainly binding, catalytic activity, structural molecule activity, molecular function regulator, and transporter activity. Among the genes encoding the DEPs, APOA2, GALK1, ADIPOQ, and NDUFS4 are associated with fat formation and metabolism.