首页> 美国卫生研究院文献>Plant Physiology >Lotus japonicus Metabolic Profiling. Development of Gas Chromatography-Mass Spectrometry Resources for the Study of Plant-Microbe Interactions
【2h】

Lotus japonicus Metabolic Profiling. Development of Gas Chromatography-Mass Spectrometry Resources for the Study of Plant-Microbe Interactions

机译:Lotus japonicus代谢分析。用于研究植物与微生物相互作用的气相色谱-质谱技术资源的开发

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

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.
机译:豆科植物根瘤中的共生氮固定(SNF)需要植物和细菌代谢的分化和整合。生物化学,分子生物学和遗传学的经典方法揭示了豆类根瘤中支持SNF的初级代谢的许多方面。功能基因组学方法,特别是转录组学和蛋白质组学,开始提供更整体的图像,描述模型豆科植物苜蓿和日本莲花中的根瘤代谢潜力。为了扩展这些方法,我们已经建立了使用气相色谱和质谱联用技术无规测量和分析日本刺李的数百种代谢物的方案。创建代表已知和未知代谢物的质谱标签库后,我们测量并比较了共生植物的根瘤,根,叶和花中的相对代谢物水平。数据的主成分分析揭示了不同器官的独特代谢表型,并导致了每个器官的标志物代谢产物的鉴定。富含结节的代谢物包括: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,甘油酸3-P和甘油-3-P。层次聚类分析可根据不同莲花器官中的分布模式区分10组代谢物。此处描述的资源和工具,以及在基因组测序,日本乳杆菌和中生根瘤菌的转录组和蛋白质组分析领域的不断努力,应使人们更好地理解支撑SNF的根瘤代谢。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号