浙江农业学报 ›› 2019, Vol. 31 ›› Issue (6): 869-877.DOI: 10.3969/j.issn.1004-1524.2019.06.02

• 作物科学 • 上一篇    下一篇

基于GC-MS分析两地白色藜麦种子的代谢差异

时羽杰1, 李兴龙2, 唐媛1, 余海萍2, 邬晓勇1, *   

  1. 1.成都大学 农业农村部杂粮加工重点实验室,四川 成都 610106;
    2.成都大学 药学与生物工程学院,四川 成都 610106
  • 收稿日期:2018-11-27 出版日期:2019-06-25 发布日期:2019-06-26
  • 通讯作者: 邬晓勇,E-mail:wuxiaoyong@cdu.edu.cn
  • 作者简介:时羽杰(1993—),男,浙江桐乡人,硕士研究生,研究方向为作物代谢组。E-mail: cddxbio@126.com
  • 基金资助:
    农业农村部杂粮加工重点实验室开放基金(2017Y0012); 国家级创新训练项目(201811079013)

Study on metabolic differences of white quinoa from two areas based on GC-MS

SHI Yujie1, LI Xinglong2, TANG Yuan1, YU Haiping2, WU Xiaoyong1, *   

  1. 1.Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Chengdu University, Chengdu 610106, China;
    2.College of Pharmacy and Bioengineering, Chengdu University, Chengdu 610106, China
  • Received:2018-11-27 Online:2019-06-25 Published:2019-06-26

摘要: 为了探究四川盐源县和青海都兰县白色藜麦种子的代谢物质差异,对其进行非靶向代谢组学的分析。利用GC-MS技术以及多元统计分析对两地的白色藜麦种子进行比较,发现两地的藜麦种子代谢物质有差异,共检测到29个显著差异物质,主要包括15个氨基酸、6个有机酸和一些糖醇、胺类、多酚、生物碱。其中有22个代谢物质表达上调,7个表达下调,在上调表达代谢物中有12个氨基酸(甘氨酸、L-缬氨酸、谷胱甘肽、GABA等)和5个有机酸(乳清酸、肉桂酸、2-氧戊二酸等)。通过MetaboAnalyst进行通路分析,发现有24条代谢通路与上调表达代谢物相关,其中有7条通路影响较显著,分别为谷胱甘肽代谢,氮代谢,丙氨酸、天冬氨酸和谷氨酸代谢,氨酰基-tRNA生物合成,苯基丙氨酸代谢,硫代谢,甘氨酸、丝氨酸和苏氨酸代谢。谷胱甘肽代谢途径的影响最为显著,而此途径与植物的抗逆性密切相关,其中检测到的代谢物主要有甘氨酸和谷胱甘肽在四川盐源的藜麦中有更高的表达水平,表明四川盐源的白色藜麦较青海都兰的白色藜麦有更强的抗氧化能力,使得植物有较好的抗逆性能在逆境中生存,这为指导两地白色藜麦的栽培育种和抗逆性机理的研究提供了理论依据。

关键词: 藜麦, 非靶向代谢组, GC-MS, 代谢差异, 抗逆性

Abstract: In order to investigate the metabolic difference of white quinoa from Yanyuan County, Sichuan Province and Doulan County, Qinghai Province, the non-targeted metabolomics analysis was carried out. The white quinoa from two different areas were compared by GC-MS technique and multivariate statistical analysis. It was shown that there were differences in the metabolites of quinoa from two areas, and a total of 29 significant differential metabolites were detected, including 15 amino acids, 6 organic acids and some alditol, amines, polyphenols and alkaloids. There were 22 up-regulated metabolites, 7 down-regulated in all metabolites, and there were 12 amino acids (glycine, L-valine, glutathione, GABA, etc) and 5 organic acids (orotic acid, trans-cinnamic acid, 2-oxo-glutaric acid, etc.) in the up-regulated metabolites. Through the pathway analysis of MetaboAnalyst, 24 metabolic pathways associated with the up-regulated metabolites were detected, of which 7 pathways had significantly different effects on glutathione metabolism, nitrogen metabolism, alanine, aspartate and glutamate metabolism, aminoacyl-tRNA biosynthesis, phenylalanine metabolism, sulfur metabolism, glycine, serine and threonine metabolism. The effect of glutathione metabolism pathway was the most significant, and this pathway was closely related to the resistance of plants, the main metabolites glycine and glutathione of quinoa from Yanyuan, Sichuan Province were detected with a higher level of expression, which indicated the white quinoa from Yanyuan, Sichuan Province, had a stronger antioxidant capacity than that from Doulan, Qinghai Province, so that the plants had a good resistance to survive in adversity, which provided a theoretical basis for guiding the cultivation of white quinoa in both areas and the study on the mechanism of resistance.

Key words: quinoa, non-targeted metabolomics, GC-MS, metabolic differences, resistance

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