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使用核磁共振光谱法进行的组织特异性代谢谱研究。

Tissue-Specific Metabolic Profile Study of Using Nuclear Magnetic Resonance Spectroscopy.

作者信息

Mahmud Iqbal, Chowdhury Kamal, Boroujerdi Arezue

机构信息

Department of Biology, Claflin University, Orangeburg SC 29115.

Department of Chemistry, Claflin University, Orangeburg SC 29115.

出版信息

Plant Tissue Cult Biotechnol. 2014 Jun;24(1):77-86. doi: 10.3329/ptcb.v24i1.19214.

Abstract

, an important multipurpose crop, is rich in various phytochemicals: flavonoids, antioxidants, vitamins, minerals and carotenes. The purpose of this study was to profile the groups of metabolites in leaf and stem tissues of . Various sugars, amino acids, and organic acid derivatives were found in all of the tissues with different profiles/peak intensities depending on the tissue. 1D proton nuclear magnetic resonance (NMR) was applied for collecting metabolite spectra. Approximately 30 metabolites with 2 unknown peaks were identified with Chenomx and verified with MMCD databases using carbon data. Among these metabolites, 22 metabolites were identified as common in both leaf and stem tissues. Of the remaining 8 metabolites, 4-aminobutyrate, adenosine, guanosine, tyrosine, and p-cresol were found only in leaf tissues; however, glutamate, glutamine, and tryptophan were found only in stem tissues. Biochemical pathway analysis revealed that 28 identified metabolites were interconnected with 36 different pathways as well as related to different fatty acids and secondary metabolites synthesis biochemical pathways. It is well known that different tissues of have nutritional, medicinal, and therapeutic values; therefore, our main objective is to provide a publicly available tissue specific metabolite database.

摘要

[作物名称]是一种重要的多用途作物,富含多种植物化学物质:黄酮类化合物、抗氧化剂、维生素、矿物质和胡萝卜素。本研究的目的是分析[作物名称]叶片和茎组织中的代谢物组。在所有[作物名称]组织中均发现了各种糖类、氨基酸和有机酸衍生物,其谱图/峰强度因组织而异。采用一维质子核磁共振(NMR)收集代谢物谱图。使用Chenomx鉴定出约30种代谢物及2个未知峰,并利用碳数据通过MMCD数据库进行了验证。在这些代谢物中,有22种代谢物在叶片和茎组织中均被鉴定出来。在其余8种代谢物中,4-氨基丁酸、腺苷、鸟苷、酪氨酸和对甲酚仅在叶片组织中发现;然而,谷氨酸、谷氨酰胺和色氨酸仅在茎组织中发现。生化途径分析表明,已鉴定出的28种代谢物与36条不同途径相互关联,并且与不同脂肪酸和次生代谢物合成生化途径相关。众所周知,[作物名称]的不同组织具有营养、药用和治疗价值;因此,我们的主要目标是提供一个公开可用的[作物名称]组织特异性代谢物数据库。

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