An Untargeted Metabolomic Comparison of Milk Composition from Sheep Kept Under Different Grazing Systems
| Autor: | Pierluigi Caboni, Patrizia Carta, Cristina Manis, Ignazio Ibba, Paola Scano |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
GC-MS metabolomics feeding systems sheep dietary supplement ovine milk Rumenic acid Metabolite 0402 animal and dairy science General Engineering food and beverages Hippuric acid 04 agricultural and veterinary sciences 040201 dairy & animal science 03 medical and health sciences chemistry.chemical_compound Animal science Metabolomics chemistry Grazing Metabolome Lactose Somatic cell count 030304 developmental biology |
| Zdroj: | Dairy; Volume 1; Issue 1; Pages: 30-41 |
| ISSN: | 2624-862X |
| DOI: | 10.3390/dairy1010004 |
| Popis: | This study aimed to evaluate the effects of different feedings on main traits and polar and semi-polar metabolite profiles of ovine milk. The milk metabolome of two groups of Sarda sheep kept under different grazing systems were analyzed by gas chromatography coupled with mass spectrometry (GC-MS) and multivariate statistical analysis (MVA). The results of discriminant analysis indicated that the two groups showed a different metabolite profile, i.e., milk samples of sheep kept under Grazing System 1 (GS1) were richer in nucleosides, inositols, hippuric acid, and organic acids, while milk of sheep under Grazing System 2 (GS2) showed higher levels of phosphate. Statistical analysis of milk main traits indicates that fat content was significantly higher in GS1 samples while milk from GS2 sheep had more urea, trans-vaccenic acid, and rumenic acid. MVA studies of the associations between milk main traits and metabolite profile indicated that the latter reflects primarily the long chain fatty acid content, the somatic cell count (SCC), and lactose levels. All together, these results demonstrated that an integrated holistic approach could be applied to deepen knowledge about the effects of feeding on sheep’s milk composition. |
| Databáze: | OpenAIRE |
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