新疆农业科学 ›› 2023, Vol. 60 ›› Issue (12): 2962-2972.DOI: 10.6048/j.issn.1001-4330.2023.12.012

• 作物遗传育种·种质资源·分子遗传学·土壤肥料 • 上一篇    下一篇

鹰嘴豆种子代谢产物的GC-MS分析

王威1(), 徐乐2, 樊艳星1, 王帆1, 马艳明1(), 唐中华3()   

  1. 1.新疆农业科学院农作物品种资源研究所,乌鲁木齐 830091
    2.新疆农业科学院,乌鲁木齐 830091
    3.东北林业大学森林植物生态学教育部重点实验室,哈尔滨 150040
  • 收稿日期:2023-04-20 出版日期:2023-12-20 发布日期:2024-01-03
  • 通信作者: 马艳明(1971-),女,新疆奎屯人,研究员,博士,研究方向为作物种质资源,(E-mail)ymma213@sina.com;唐中华(1977-),男,江苏丹阳人,教授,博士,博士生导师,研究方向为植物次生代谢调控及植物逆境生理生态,(E-mail)tangzh@nefu.edu.cn
  • 作者简介:王威(1969-),男,新疆塔城人,高级农艺师,研究方向为作物种质资源,(E-mail)wangweiWLJ@163.com
  • 基金资助:
    新疆维吾尔自治区科技创新基地建设专项(资源共享平台建设)(PT2030);科技部、财政部国家作物种质资源库项目(NCGRC-2021-029);新疆维吾尔自治区区域协同创新专项(上海合作组织科技伙伴计划)(2017E01023-1)

Multivariable comparative analysis of chickpea seed metabolites based on GC-MS

WANG Wei1(), XU Le2, FAN Yanxing1, WANG Fan1, MA Yanming1(), TANG Zhonghua3()   

  1. 1. Institute of Crop Germplasm Resources, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China
    2. Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China
    3. Key Laboratory of Forest Plant Ecology, Ministry of Education, Northeast Forestry University, Harbin 150040, China
  • Received:2023-04-20 Online:2023-12-20 Published:2024-01-03
  • Correspondence author: MA Yanming (1971-), female, doctor, researcher, Engaged in germplasm resource, (E-mail)ymma213@sina.com;TANG Zhonghua(1977-),male, native place: Danyang, Jiangsu Province. Professor, research field: Plant secondary metabolism regulation and plant stress physiology and ecology,(E-mail)tangzh@nefu.edu.cn
  • Supported by:
    Construction of Resource Sharing Platform in Xinjiang Uygur Autonomous Region(PT2030);National Science and Technology Resource Sharing Platform - National Crop Germplasm Resource Bank Sponsored by Ministry of Science and Technology and Ministry of Finance of China(NCGRC-2021-029);Regional Collaborative Innovation of Xinjiang Uygur Autonomous Region (The Shanghai Cooperation Organization Science and Technology Partnership Program)(2017E01023-1)

摘要:

【目的】研究鹰嘴豆品种之间代谢物质的差异,利用 GC-MS技术对鹰嘴豆初级代谢产物进行代谢组学分析,为鹰嘴豆产品开发提供理论基础。【方法】利用GC-MS技术及热图聚类,比较分析10个鹰嘴豆品种种子的代谢产物。【结果】检测到146种化合物,主要包括:机酸类、脂肪酸类、氨基酸类、糖类、醇类、酚类以及含氮类七大类化合物。其中8个品种针对每一大类均含有相同的化合物,而D2016-10和YZD80则积累自身特定的化合物,与其他8个品种相同累积的化合物明显偏少。D2016-10和YZD80 2个品种所积累化合物情况完全不同,存在各自代谢产物的特异性。按化合物的Q值将10个鹰嘴豆品种分为4小类。【结论】10个不同鹰嘴豆品种均含有大量的酸类、糖醇类以及含氮类等几大类化合物,氨基酸类及其衍生物分布相对较少。

关键词: 鹰嘴豆; 代谢组学; 功能; 聚类分析; GC-MS

Abstract:

【Objective】To explore the differences of metabolites among different chickpea varieties by using GC-MS analysis combined with cluster analysis and to analyze their non targeted metabonomics, so as to provide a theoretical basis for the development of chickpea food, health products and drugs.【Methods】The metabolites of 10 chickpea seeds were analyzed by GC-MS.【Results】146 compounds were detected from the tested materials, mainly including organic acids, fatty acids, amino acids, sugars, alcohols, phenols and nitrogen-containing compounds. After cluster analysis, it was found that the all the eight varieties contained the same distribution of some compounds for each major category of compounds, but D2016-10 and YZD80 accumulated their own specific content of compounds, while the content of the same accumulated compounds of the other eight varieties was significantly less. However, the accumulation of these D2016-10 and YZD80 two varieties was completely different, so they had their own specificity. Divide 10 chickpea varieties into 4 subcategories based on their Q values of compounds.【Conclusion】In general, the 10 different chickpea varieties contain a large number of acids, sugar alcohols and nitrogen-containing compounds, and the distribution of amino acids and their derivatives is relatively small.

Key words: chickpea; metabolomics; function; cluster analysis; GC-MS

中图分类号: 


ISSN 1001-4330 CN 65-1097/S
邮发代号:58-18
国外代号:BM3342
主管:新疆农业科学院
主办:新疆农业科学院 新疆农业大学 新疆农学会

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