Literature DB >> 26779989

Metabolomic biomarkers identify differences in milk produced by Holstein cows and other minor dairy animals.

Yongxin Yang1, Nan Zheng2, Xiaowei Zhao1, Yangdong Zhang2, Rongwei Han2, Jinhui Yang2, Shengguo Zhao2, Songli Li2, Tongjun Guo2, Changjiang Zang2, Jiaqi Wang3.   

Abstract

Several milk metabolites are associated with breeds or species of dairy animals. A better understanding of milk metabolites from different dairy animals would advance their use in evaluating milk traits and detecting milk adulteration. The objective of this study was to characterize the milk metabolite profiles of Chinese Holstein, Jersey, yak, buffalo, goat, camel, and horse and identify any differences using non-targeted metabolomic approaches. Milk samples were tested using nuclear magnetic resonance (NMR) spectroscopy and liquid chromatography-tandem mass spectrometry (LC-MS). Data were analyzed using a multivariate analysis of variance and differences in milk metabolites between Holstein and the other dairy animals were assessed using orthogonal partial least-squares discriminant analysis. Differential metabolites were identified and some metabolites, such as choline and succinic acid, were used to distinguish Holstein milk from that of the other studied animals. Metabolic pathway analysis of different metabolites revealed that glycerophospholipid metabolism as well as valine, leucine, and isoleucine biosynthesis were shared in the other ruminant animals (Jersey, buffalo, yak, and goat), and biosynthesis of unsaturated fatty acids was shared in the non-ruminant animals (camel and horse). These results can be useful for gaining a better understanding of the differences in milk synthesis between Holstein and the other dairy animals.
Copyright © 2016. Published by Elsevier B.V.

Entities:  

Keywords:  Dairy animal; Mass spectrometry; Metabolomics; Milk; NMR spectroscopy

Mesh:

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Year:  2016        PMID: 26779989     DOI: 10.1016/j.jprot.2015.12.031

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  10 in total

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