Differential metabolic networks unravel the effects of silent plant phenotypes
Differential metabolic networks unravel the effects of silent plant phenotypes
复制标题
DOI：
10.1073/pnas.0303415101
复制
发表时间：
2004-05-18
影响因子：
11.1
通讯作者：
Fiehn, O
中科院分区：
文献类型：
--
作者：
Weckwerth, W;Loureiro, ME;Fiehn, O
目前的努力的目标是在模式植物中的每个基因的功能特征。然而，通常没有形态学或生化表型可以归因于反义或敲除植物基因型。当基因抑制或敲除针对同工酶或基因家族时尤其如此。因此，多效性效应和基因冗余是表型抗性的原因。在这里，技术提出了检测意想不到的多效性的变化，在这种情况下，尽管非常微妙的变化，在整体代谢。该方法包括通过GC/飞行时间MS对> 1，000种化合物进行相对定量，然后进行经典统计和多变量聚类。作为这些工具的补充，代谢网络是从线性代谢相关性的成对分析中构建的。这种网络的拓扑结构反映了潜在的调控途径结构。对蔗糖合成酶亚型II表达受抑制的沉默马铃薯植物系进行了网络连接性的差异分析。代谢改变可归因于碳水化合物和氨基酸代谢，即使未发现平均代谢物水平的差异。
Current efforts aim to functionally characterize each gene in model plants. Frequently, however, no morphological or biochemical phenotype can be ascribed for antisense or knock-out plant genotypes. This is especially the case when gene suppression or knockout is targeted to isoenzymes or gene families. Consequently, pleiotropic effects and gene redundancy are responsible for phenotype resistance. Here, techniques are presented to detect unexpected pleiotropic changes in such instances despite very subtle changes in overall metabolism. The method consists of the relative quantitation of >1,000 compounds by GC/time-of-flight MS, followed by classical statistics and multivariate clustering. Complementary to these tools, metabolic networks are constructed from pair-wise analysis of linear metabolic correlations. The topology of such networks reflects the underlying regulatory pathway structure. A differential analysis of network connectivity was applied for a silent potato plant line suppressed in expression of sucrose synthase isoform II. Metabolic alterations could be assigned to carbohydrate and amino acid metabolism even if no difference in average metabolite levels was found.