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ABSTRACT:
PROVIDER: PRJNA961934 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The purpose of this study was to explore the mechanism of aerobic decay of whole-plant corn silage and the effect of Neolamarckia cadamba essential oil on aerobic stability of whole-plant corn silage. Firstly, the dynamic changes of temperature, microbial community and metabolite content after aerobic exposure of whole-plant corn silage were determined, and the main microbial species and mechanism leading to aerobic spoilage of whole-plant corn silage were analyzed. The N. cadamba essential oil was extracted from fresh N. cadamba leaves by steam distillation, and the minimal inhibitory concentration, antibacterial stability and bacteriostatic mechanism of N. cadamba essential oil against undesirable microorganisms in whole-plant corn silage were determined. According to the minimum inhibitory concentration of N. cadamba essential oil on undesirable microorganisms in silage, N. cadamba essential oil was added to whole-plant corn silage to explore the effect of N. cadamba essential oil on the aerobic stability of whole-plant corn silage.
2023-09-13 | GSE241081 | GEO
Project description:The structure and function of the microbiome inhabiting the rumen are, amongst other factors, mainly shaped by the animal’s feed intake. Describing the influence of different diets on the inherent community arrangement and associated metabolic activities of the most active ruminal fractions (bacteria and archaea) is of great interest for animal nutrition, biotechnology and climatology. Samples were obtained from three fistulated Jersey cows rotationally fed with corn silage, grass silage or hay, each supplemented with a concentrate mixture. Samples were fractionated into ruminal fluid, squeezed solid and solid matter. DNA, proteins and metabolites were analyzed subsequently. DNA extracts were used for Illumina sequencing of the 16S rRNA gene and the metabolomes of rumen fluids were determined by 500MHz-NMR spectroscopy. Tryptic peptides derived from protein extracts were measured by LC-ESI-MS/MS and spectra were processed by a two-step database search for quantitative metaproteome characterization. Protein- and DNA-based datasets revealed significant differences between sample fractions and diets and affirmed similar trends concerning shifts in phylogenetic composition. Ribosomal genes and proteins belonging to the phylum of Proteobacteria, particularly Succinivibrionaceae, exhibited a higher abundance in corn silage-based samples while fiber-degraders of the Lachnospiraceae family emerged in great quantities throughout the solid phase fractions. The analysis of 8163 quantified bacterial proteins revealed the presence of 166 carbohydrate active enzymes in varying abundance. Cellulosome affiliated proteins were less expressed in the grass silage, glycoside hydrolases appeared in slightest numbers in the corn silage. Most expressed glycoside hydrolases belonged to families 57 and 2. Enzymes analogous to ABC transporters for amino acids and monosaccharides were more abundant in the corn silage whereas oligosaccharide transporters showed a higher abundance in the fiber-rich diets. Proteins involved in carbon metabolism were detected in high numbers and identification of metabolites like short-chain fatty acids, methylamines and phenylpropionate by NMR enabled linkage between producers and products. This study forms a solid basis to retrieve deeper insight into the complex network of gut microbial adaptation.
2017-08-15 | PXD006070 | Pride
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.
2017-06-09 | GSE78197 | GEO
Project description:Total RNA from duodenum, jejunum, liver and mammary gland 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 and SAS software.
2020-03-05 | GSE78524 | GEO
Project description:Whole-plant corn silage Raw sequence reads
| PRJNA1154810 | ENA