Max-Planck-Institute of Molecular Plant Physiology, Am Müehlenberg 1, Potsdam-Golm, 14476, Germany.
Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria, CREA-OFA, Via di Fioranello 52, 00134, Rome, Italy.
Plant J. 2019 Mar;97(6):1132-1153. doi: 10.1111/tpj.14178. Epub 2019 Jan 15.
Common bean (Phaseolus vulgaris L.) is an important legume species with a rich natural diversity of landraces that originated from the wild forms following multiple independent domestication events. After the publication of its genome, several resources for this relevant crop have been made available. A comprehensive characterization of specialized metabolism in P. vulgaris, however, is still lacking. In this study, we used a metabolomics approach based on liquid chromatography-mass spectrometry to dissect the chemical composition at a tissue-specific level in several accessions of common bean belonging to different gene pools. Using a combination of literature search, mass spectral interpretation, C-labeling, and correlation analyses, we were able to assign chemical classes and/or putative structures for approximately 39% of all measured metabolites. Additionally, we integrated this information with transcriptomics data and phylogenetic inference from multiple legume species to reconstruct the possible metabolic pathways and identify sets of candidate genes involved in the biosynthesis of specialized metabolites. A particular focus was given to flavonoids, triterpenoid saponins and hydroxycinnamates, as they represent metabolites involved in important ecological interactions and they are also associated with several health-promoting benefits when integrated into the human diet. The data are presented here in the form of an accessible resource that we hope will set grounds for further studies on specialized metabolism in legumes.
菜豆(Phaseolus vulgaris L.)是一种重要的豆类物种,具有丰富的自然多样性的地方品种,起源于野生形式,经历了多次独立的驯化事件。在其基因组公布后,针对该相关作物的几个资源已经可用。然而,对菜豆特殊代谢物的全面表征仍然缺乏。在这项研究中,我们使用基于液相色谱-质谱的代谢组学方法,在属于不同基因库的几个菜豆品种中,在组织特异性水平上剖析化学成分。通过文献检索、质谱解释、C 标记和相关分析的组合,我们能够为大约 39%的所有测量代谢物分配化学类别和/或假定结构。此外,我们将此信息与来自多个豆科植物的转录组学数据和系统发育推断相结合,以重建可能的代谢途径,并确定参与特殊代谢物生物合成的候选基因集。特别关注类黄酮、三萜皂苷和羟基肉桂酸,因为它们代表了参与重要生态相互作用的代谢物,当它们被纳入人类饮食时,也与几种促进健康的益处相关。这些数据以可访问的资源形式呈现,我们希望这将为豆科植物特殊代谢物的进一步研究奠定基础。