Zhen Shoumin, Dong Kun, Deng Xiong, Zhou Jiaxing, Xu Xuexin, Han Caixia, Zhang Wenying, Xu Yanhao, Wang Zhimin, Yan Yueming
College of Life Science, Capital Normal University, 100048, Beijing, China.
College of Agricultural and Biotechnology, China Agricultural University, 100091, Beijing, China.
J Sci Food Agric. 2016 Aug;96(11):3731-40. doi: 10.1002/jsfa.7561. Epub 2016 Jan 13.
Metabolites in wheat grains greatly influence nutritional values. Wheat provides proteins, minerals, B-group vitamins and dietary fiber to humans. These metabolites are important to human health. However, the metabolome of the grain during the development of bread wheat has not been studied so far. In this work the first dynamic metabolome of the developing grain of the elite Chinese bread wheat cultivar Zhongmai 175 was analyzed, using non-targeted gas chromatography/mass spectrometry (GC/MS) for metabolite profiling.
In total, 74 metabolites were identified over the grain developmental stages. Metabolite-metabolite correlation analysis revealed that the metabolism of amino acids, carbohydrates, organic acids, amines and lipids was interrelated. An integrated metabolic map revealed a distinct regulatory profile. The results provide information that can be used by metabolic engineers and molecular breeders to improve wheat grain quality.
The present metabolome approach identified dynamic changes in metabolite levels, and correlations among such levels, in developing seeds. The comprehensive metabolic map may be useful when breeding programs seek to improve grain quality. The work highlights the utility of GC/MS-based metabolomics, in conjunction with univariate and multivariate data analysis, when it is sought to understand metabolic changes in developing seeds. © 2015 Society of Chemical Industry.
小麦籽粒中的代谢产物对营养价值有很大影响。小麦为人类提供蛋白质、矿物质、B族维生素和膳食纤维。这些代谢产物对人体健康很重要。然而,迄今为止尚未对面包小麦发育过程中籽粒的代谢组进行研究。在本研究中,利用非靶向气相色谱/质谱联用技术(GC/MS)对中国优质面包小麦品种中麦175发育籽粒的首个动态代谢组进行了分析,以对代谢产物进行谱图分析。
在籽粒发育阶段共鉴定出74种代谢产物。代谢产物-代谢产物相关性分析表明,氨基酸、碳水化合物、有机酸、胺类和脂质的代谢是相互关联的。综合代谢图谱显示出独特的调控模式。这些结果为代谢工程师和分子育种家提供了可用于改善小麦籽粒品质的信息。
目前的代谢组学方法确定了发育种子中代谢产物水平的动态变化以及这些水平之间的相关性。当育种计划旨在提高籽粒品质时,综合代谢图谱可能会有所帮助。这项工作突出了基于GC/MS的代谢组学结合单变量和多变量数据分析在理解发育种子代谢变化方面的实用性。© 2015化学工业协会。