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豆科作物菜豆、鹰嘴豆、小扁豆和羽扇豆的综合代谢组学和脂质组学图谱。

A comprehensive metabolomics and lipidomics atlas for the legumes common bean, chickpea, lentil and lupin.

机构信息

Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam-Golm, Germany.

Department of Agricultural, Food and Environmental Sciences, Polytechnic University of Marche, via Brecce Bianche, Ancona, 60131, Italy.

出版信息

Plant J. 2023 Nov;116(4):1152-1171. doi: 10.1111/tpj.16329. Epub 2023 Jun 21.

DOI:10.1111/tpj.16329
PMID:37285370
Abstract

Legumes represent an important component of human and livestock diets; they are rich in macro- and micronutrients such as proteins, dietary fibers and polyunsaturated fatty acids. Whilst several health-promoting and anti-nutritional properties have been associated with grain content, in-depth metabolomics characterization of major legume species remains elusive. In this article, we used both gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS) to assess the metabolic diversity in the five legume species commonly grown in Europe, including common bean (Phaseolus vulgaris), chickpea (Cicer arietinum), lentil (Lens culinaris), white lupin (Lupinus albus) and pearl lupin (Lupinus mutabilis), at the tissue level. We were able to detect and quantify over 3400 metabolites covering major nutritional and anti-nutritional compounds. Specifically, the metabolomics atlas includes 224 derivatized metabolites, 2283 specialized metabolites and 923 lipids. The data generated here will serve the community as a basis for future integration to metabolomics-assisted crop breeding and facilitate metabolite-based genome-wide association studies to dissect the genetic and biochemical bases of metabolism in legume species.

摘要

豆类是人类和牲畜饮食的重要组成部分;它们富含蛋白质、膳食纤维和多不饱和脂肪酸等宏量和微量营养素。虽然谷物含量与多种促进健康和抗营养特性有关,但主要豆类物种的深入代谢组学特征仍然难以捉摸。在本文中,我们使用气相色谱-质谱法(GC-MS)和液相色谱-质谱法(LC-MS)来评估在欧洲常见的五种豆类物种中的代谢多样性,包括普通豆(Phaseolus vulgaris)、鹰嘴豆(Cicer arietinum)、小扁豆(Lens culinaris)、白 Lupinus albus)和珍珠 Lupinus mutabilis),在组织水平上。我们能够检测和定量超过 3400 种代谢物,涵盖主要的营养和抗营养化合物。具体而言,代谢组学图谱包括 224 种衍生代谢物、2283 种特殊代谢物和 923 种脂质。这里生成的数据将作为社区的基础,用于未来与代谢组学辅助作物育种的整合,并促进基于代谢物的全基因组关联研究,以剖析豆类物种代谢的遗传和生化基础。

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