Similar Datasets
Project description:<p> Introduction: This study aimed to investigate the effects of natural forage from different regions (saline-alkali and non-saline-alkali areas) on the rumen microbiota, muscle metabolites, and meat quality of Tibetan sheep. </p><p> Methods: Targeted and non-targeted metabolomics were used to comprehensively analyze both pasture and meat quality, metabolites. Additionally, 16S rDNA sequencing was employed to analyze the rumen microbial community structure of Tibetan sheep.</p><p> Results: The results showed that the natural saline-alkali forage (HG group) had higher protein content, lower fiber content, higher relative feed value, and better quality. Metabolomic analysis revealed significant accumulation of flavonoids and upregulation of amino acid metabolism in the HG group. Additionally, the natural saline-alkali forage significantly increased amino acid deposition in Tibetan sheep muscle, markedly enhanced the redness value (a*), and significantly reduced the yellowness value (b*). Furthermore, the natural saline-alkali forage altered the rumen fermentation patterns in Tibetan sheep, leading to a significant increase in the abundance of F082 and WCHB1-41, while significantly reducing the abundance of Prevotellaceae_UCG-003. Correlation analysis revealed that these microbial taxa were significantly influenced by the natural saline-alkali forage,while also showing significant associations with muscle quality parameters (a*, b*) and metabolites (cysteine, C18:1n9, etc.).</p><p>Discussion: Overall, the natural saline-alkali forage demonstrated superior quality and metabolite content compared to natural non-saline-alkali forage. Furthermore, this saline-alkali forage significantly influenced the abundance of specific rumen microbiota in Tibetan sheep, consequently regulating</p>
2025-07-19 | MTBLS12747 | MetaboLights
Project description:<p>Introduction: This study aimed to investigate the effects of natural forage from different regions (saline-alkali and non-saline-alkali areas) on the rumen microbiota, muscle metabolites, and meat quality of Tibetan sheep. </p><p>Methods: Targeted and non-targeted metabolomics were used to comprehensively analyze both pasture and meat quality, metabolites. Additionally, 16S rDNA sequencing was employed to analyze the rumen microbial community structure of Tibetan sheep.</p><p>Results: The results showed that the natural saline-alkali forage (HG group) had higher protein content, lower fiber content, higher relative feed value, and better quality. Metabolomic analysis revealed significant accumulation of flavonoids and upregulation of amino acid metabolism in the HG group. Additionally, the natural saline-alkali forage significantly increased amino acid deposition in Tibetan sheep muscle, markedly enhanced the redness value (a*), and significantly reduced the yellowness value (b*). Furthermore, the natural saline-alkali forage altered the rumen fermentation patterns in Tibetan sheep, leading to a significant increase in the abundance of F082 and WCHB1-41, while significantly reducing the abundance of Prevotellaceae_UCG-003. Correlation analysis revealed that these microbial taxa were significantly influenced by the natural saline-alkali forage,while also showing significant associations with muscle quality parameters (a*, b*) and metabolites (cysteine, C18:1n9, etc.).</p><p>Discussion: Overall, the natural saline-alkali forage demonstrated superior quality and metabolite content compared to natural non-saline-alkali forage. Furthermore, this saline-alkali forage significantly influenced the abundance of specific rumen microbiota in Tibetan sheep, consequently regulating</p>
2025-07-19 | MTBLS12748 | MetaboLights
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.
2022-02-17 | PXD029488 | Pride