Principal component and hierarchical clustering analysis of metabolites in destructive weeds; polygonaceous plants
Principal component and hierarchical clustering analysis of metabolites in destructive weeds; polygonaceous plants
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DOI：
10.1007/s11306-009-0186-y
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发表时间：
2010-03-01
期刊：
影响因子：
3.6
通讯作者：
Uchimiya, Hirofumi
中科院分区：
文献类型：
--
作者：
Miyagi, Atsuko;Takahashi, Hideyuki;Uchimiya, Hirofumi
采用毛细管电泳-质谱联用技术对蓼科有害杂草的代谢物进行了综合分析。主成分分析揭示了八种酸模和粳稻之间的明显区别。层次聚类数据表明，各个代谢物可以根据物种差异进行分组。草酸盐与柠檬酸盐、草酸盐与抗坏血酸盐、草酸盐与谷氨酰胺之间存在正相关关系。在最具破坏性的杂草 R. obtusifolius 中，每片叶子鲜重的草酸含量不受 Hoagland 配方中外源供应养分浓度增加的影响。这种植物中草酸盐的积累与外部营养水平无关，营养丰富的环境显然会刺激内部成分，如氨基酸和其他代谢物。
Comprehensive analysis of metabolites using capillary electrophoresis-mass spectrometry was carried out in harmful weeds belonging to Polygonaceae. A principal component analysis revealed clear distinctions among eight Rumex species and Fallopia japonica. Hierarchical clustering data showed that respective metabolites can be grouped due to species differences. There was a positive relationship between oxalate and citrate, oxalate and ascorbate, and oxalate and glutamine. The amount of oxalate per leaf fresh weight was not affected by increased concentrations of exogenously supplied nutrients from Hoagland's formulation in one of the most destructive weeds R. obtusifolius. The oxalate accumulation in this plant is independent of external nutrient level, where nutrient-rich environments apparently stimulate internal constituents such as amino acids and other metabolites.