
AbstractThe present study was conducted to characterize the metabolome of accessory gland fluid (AGF) of locally adapted Morada Nova rams, raised in the Brazilian Northeast. AGF was collected by an artificial vagina from five vasectomized rams. Metabolites were identified by gas chromatography‐mass spectrometry (GC/MS) and high‐performance liquid chromatography‐mass spectrometry (LC/MS), with the support of Human Metabolome Database, PubChem, LIPID Metabolites, Pathways Strategy databases, and MetaboAnalyst platforms. There were 182 and 190 metabolites detected by GC/MS and LC/MS, respectively, with an overlap of one molecule. Lipids and lipid‐like molecules were the most abundant class of metabolites in the ram AGF (127 compounds), followed by amino acids, peptides, and analogs(103 metabolites). Considering all GC/MS and LC/MS, fructose, glycerol, citric acid, d‐mannitol, d‐glucose, and l‐(+)‐lactic acid were the most abundant single metabolites present in the ram AGF. Meaningful pathways associated with AGF metabolites included glycine, serine and threonine metabolism; pantothenate and CoA biosynthesis; galactose metabolism; glutamate metabolism and phenylalanine metabolism, and so forth. In conclusion, the combined use of LC/MS and GC/MS was essential for getting a holistic view of the compounds embedded in the ram AGF. Chemical analysis of the accessory sex gland secretion is relevant for understanding sperm function and fertilization.
Male, Sheep, GC/MS, LC/MS, Lipids, Spermatozoa, Gas Chromatography-Mass Spectrometry, ovine, Fertility, Semen, accessory sex gland, Fertilization, Vasectomy, Metabolome, Animals, Metabolomics, metabolome, Amino Acids, Brazil, Chromatography, High Pressure Liquid, Metabolic Networks and Pathways
Male, Sheep, GC/MS, LC/MS, Lipids, Spermatozoa, Gas Chromatography-Mass Spectrometry, ovine, Fertility, Semen, accessory sex gland, Fertilization, Vasectomy, Metabolome, Animals, Metabolomics, metabolome, Amino Acids, Brazil, Chromatography, High Pressure Liquid, Metabolic Networks and Pathways
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