Desbrosses Guilhem G, Kopka Joachim, Udvardi Michael K
Max Planck Institute of Molecular Plant Physiology, 14476 Golm, Germany.
Plant Physiol. 2005 Apr;137(4):1302-18. doi: 10.1104/pp.104.054957. Epub 2005 Mar 4.
Symbiotic nitrogen fixation (SNF) in legume root nodules requires differentiation and integration of both plant and bacterial metabolism. Classical approaches of biochemistry, molecular biology, and genetics have revealed many aspects of primary metabolism in legume nodules that underpin SNF. Functional genomics approaches, especially transcriptomics and proteomics, are beginning to provide a more holistic picture of the metabolic potential of nodules in model legumes like Medicago truncatula and Lotus japonicus. To extend these approaches, we have established protocols for nonbiased measurement and analysis of hundreds of metabolites from L. japonicus, using gas chromatography coupled with mass spectrometry. Following creation of mass spectral tag libraries, which represent both known and unknown metabolites, we measured and compared relative metabolite levels in nodules, roots, leaves, and flowers of symbiotic plants. Principal component analysis of the data revealed distinct metabolic phenotypes for the different organs and led to the identification of marker metabolites for each. Metabolites that were enriched in nodules included: octadecanoic acid, asparagine, glutamate, homoserine, cysteine, putrescine, mannitol, threonic acid, gluconic acid, glyceric acid-3-P, and glycerol-3-P. Hierarchical cluster analysis enabled discrimination of 10 groups of metabolites, based on distribution patterns in diverse Lotus organs. The resources and tools described here, together with ongoing efforts in the areas of genome sequencing, and transcriptome and proteome analysis of L. japonicus and Mesorhizobium loti, should lead to a better understanding of nodule metabolism that underpins SNF.
豆科植物根瘤中的共生固氮作用(SNF)需要植物和细菌代谢的分化与整合。生物化学、分子生物学和遗传学的经典方法揭示了豆科植物根瘤中许多支撑共生固氮作用的初级代谢方面。功能基因组学方法,尤其是转录组学和蛋白质组学,开始为截形苜蓿和百脉根等模式豆科植物根瘤的代谢潜力提供更全面的图景。为了扩展这些方法,我们建立了使用气相色谱-质谱联用技术对百脉根中数百种代谢物进行无偏测量和分析的方案。在创建了代表已知和未知代谢物的质谱标签库之后,我们测量并比较了共生植物根瘤、根、叶和花中的相对代谢物水平。对数据进行主成分分析揭示了不同器官独特的代谢表型,并导致识别出每个器官的标记代谢物。根瘤中富集的代谢物包括:十八烷酸、天冬酰胺、谷氨酸、高丝氨酸、半胱氨酸、腐胺、甘露醇、苏糖酸、葡萄糖酸、3-磷酸甘油酸和3-磷酸甘油。层次聚类分析能够根据在不同百脉根器官中的分布模式区分出10组代谢物。本文所述的资源和工具,以及在百脉根和中慢生根瘤菌基因组测序、转录组和蛋白质组分析领域正在进行的工作,应该会有助于更好地理解支撑共生固氮作用的根瘤代谢。