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Lactation-related metabolic mechanism investigated based on mammary gland metabolomics and 4 biofluids’ metabolomics relationships in dairy cows

机译:基于乳腺代谢组学和4种生物流体代谢组学关系的奶牛泌乳相关代谢机制研究

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Lactation is extremely important for dairy cows; however, the understanding of the underlying metabolic mechanisms is very limited. This study was conducted to investigate the inherent metabolic patterns during lactation using the overall biofluid metabolomics and the metabolic differences from non-lactation periods, as determined using partial tissue-metabolomics. We analyzed the metabolomic profiles of four biofluids (rumen fluid, serum, milk and urine) and their relationships in six mid-lactation Holstein cows and compared their mammary gland (MG) metabolomic profiles with those of six non-lactating cows by using gas chromatography-time of flight/mass spectrometry. In total, 33 metabolites were shared among the four biofluids, and 274 metabolites were identified in the MG tissues. The sub-clusters of the hierarchical clustering analysis revealed that the rumen fluid and serum metabolomics profiles were grouped together and highly correlated but were separate from those for milk. Urine had the most different profile compared to the other three biofluids. Creatine was identified as the most different metabolite among the four biofluids (VIP?=?1.537). Five metabolic pathways, including gluconeogenesis, pyruvate metabolism, the tricarboxylic acid cycle (TCA cycle), glycerolipid metabolism, and aspartate metabolism, showed the most functional enrichment among the four biofluids (false discovery rate 2). Clear discriminations were observed in the MG metabolomics profiles between the lactating and non-lactating cows, with 54 metabolites having a significantly higher abundance (P 1) in the lactation group. Lactobionic acid, citric acid, orotic acid and oxamide were extracted by the S-plot as potential biomarkers of the metabolic difference between lactation and non-lactation. The TCA cycle, glyoxylate and dicarboxylate metabolism, glutamate metabolism and glycine metabolism were determined to be pathways that were significantly impacted (P 0.1) in the lactation group. Among them, the TCA cycle was the most up-regulated pathway (P?
机译:泌乳对奶牛极为重要。然而,对潜在的代谢机制的了解非常有限。这项研究的目的是使用整体生物流体代谢组学研究泌乳过程中固有的代谢模式,以及使用部分组织代谢组学确定的非泌乳期的代谢差异。我们分析了六种泌乳中期荷斯坦奶牛中四种生物流体(瘤胃液,血清,乳汁和尿液)的代谢组学谱及其相互关系,并通过气相色谱比较了它们与六种非泌乳奶牛的乳腺(MG)代谢组学谱-飞行时间/质谱。总共,四种生物流体中共有33种代谢物,并且在MG组织中鉴定出274种代谢物。层次聚类分析的子集显示,瘤胃液和血清代谢组学谱被分组在一起并且高度相关,但是与牛奶的谱谱是分开的。与其他三种生物流体相比,尿液具有最大的不同。在四种生物流体中,肌酸被认为是最不同的代谢产物(VIP≥1.537)。五种代谢途径,包括糖异生,丙酮酸代谢,三羧酸循环(TCA循环),甘油脂代谢和天冬氨酸代谢,在四种生物流体中显示出最丰富的功能(错误发现率2)。在泌乳和非泌乳母牛之间的MG代谢组学谱图中观察到明显的区别,泌乳组中有54种代谢物的丰度(P 1)明显更高。通过S-图提取乳原酸,柠檬酸,乳清酸和草酰胺,作为泌乳和未泌乳之间代谢差异的潜在生物标记。在泌乳组中,TCA循环,乙醛酸和二羧酸酯代谢,谷氨酸代谢和甘氨酸代谢被确定为显着影响的通路(P 0.1)。其中,TCA循环是上调最多的途径(P 0.0001),在泌乳母牛的MG组织中10种相关代谢物中有7种增加。在这项研究中解释了泌乳母牛的整体生物流体和MG组织的代谢机制。我们的发现是第一个提供综合见解和对泌乳代谢机制的更好理解的人,这对于制定调节策略以改善泌乳奶牛的代谢状况是有益的。

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