Biomarker and pathway analyses of urine metabolomics in dairy cows when corn stover replaces alfalfa hay

作     者：Huizeng Sun Bing Wang Jiakun Wang Hongyun Liu Jianxin Liu 

作者机构：Institute of Daiw Science，MoE Key Laboratory of Molecular Animal Nutrition College of Animal Sciences，Zhejiang University Hangzhou 310058 People's Republic of China 

出 版 物：《Journal of Animal Science and Biotechnology》 (畜牧与生物技术杂志（英文版）)

年 卷 期：2017年第8卷第1期

页      面：119-127页

核心收录：

学科分类：090502[农学-动物营养与饲料科学] 0905[农学-畜牧学] 09[农学] 

基　　金：supported by grants from the National Natural Science Foundation of China(No.31472121) from the China Agriculture Research System(No.CARS-37) The funding body has not participated in or interfered with the research 

主　　题：Biomarker Dairy cow Metabolomics Pathway Urine 

摘      要：Background： Alfalfa hay and corn stover are different type of forages which can significantly impact a cow＇s lactation performance, but the underlying metabolic mechanism has been poorly studied. We used biomarker and pathway analyses to characterize related biomarkers and pathways based on urine metabolomics data from different forage treatments. Urine was col ected from 16 multiparous Holstein dairy cows fed alfalfa hay（AH, high-quality forage, n = 8） and corn stover（CS, low-quality forage, n = 8） respectively. Gas chromatography–time of flight/mass spectrometry（GC-TOF/MS） was performed to identify metabolites in urine and the metaboanalyst online platform was used to do biomarker and pathway ***： Hippuric acid（HUA） and N-methyl-glutamic（NML-Glu） indicated the most significant difference between the two diets, when statistical y validated by biomarker analysis. HUA was also validated by standard compound quantitative method and showed significant higher concentration in CS group than AH group（2.8282 vs. 0.0005 mg/mL; P 〈 0.01）.The significant negative correlation between milk yield and HUA（R^2= 0.459; P 〈 0.01） and significant positive correlation between milk yield and NML-Glu（R^2= 0.652; P 〈 0.01） were characterized. The pathway analysis revealed that these different metabolites were involved in 17 pathways including 7 influential pathways（pathway impact value 〉 0）： Tyr metabolism, starch and sucrose metabolism, amino sugar and nucleotide sugar metabolism, galactose metabolism,Phe, Tyr and Try biosynthesis, purine metabolism, and glycerolipid metabolism. Based on the metabolome view map,the Phe, Tyr and Try biosynthesis pathway exhibited the highest impact value（0.50）, and the Holm-Bonferroni multiple testing-based analysis revealed the most significant difference in the Tyr metabolism pathway（Holm P = 0.048）.Conclusions： The identified HUA and NML-Glu may serve as potential biomarkers for discriminating CS and AH diets and could be used as candidat