Metabolite profiling for plant functional genomics
Metabolite profiling for plant functional genomics
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DOI：
10.1038/81137
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发表时间：
2000-11-01
影响因子：
46.9
通讯作者：
Willmitzer, L
中科院分区：
文献类型：
--
作者：
Fiehn, O;Kopka, J;Willmitzer, L
mRNA和蛋白质的多重平行分析是当今功能基因组学研究的核心。在这里，我们描述了使用代谢产物分析作为一种新的工具，比较显示基因功能。它不仅有可能为复杂的调控过程提供更深入的见解，而且还可以直接确定表型。使用气相色谱/质谱（GC/MS），我们自动定量326个不同的化合物从拟南芥叶提取物。大约有一半的化合物可以确定其化学结构。比较四种拟南芥基因型（两种纯合生态型和每种生态型的突变体）表明，每种基因型具有不同的代谢谱。数据挖掘工具，如主成分分析，使分配的“代谢表型”使用这些大数据集。两个生态型的代谢表型比单位点突变体及其亲本生态型的代谢表型更趋分歧。这些结果表明，使用代谢物分析作为一种工具，显着扩展和增强现有的功能基因组学方法的力量。
Multiparallel analyses of mRNA and proteins are central to today's functional genomics initiatives. We describe here the use of metabolite profiling as a new tool for a comparative display of gene function. It has the potential not only to provide deeper insight into complex regulatory processes but also to determine phenotype directly. Using gas chromatography/mass spectrometry (GC/MS), we automatically quantified 326 distinct compounds from Arabidopsis thaliana leaf extracts. It was possible to assign a chemical structure to approximately half of these compounds. Comparison of four Arabidopsis genotypes (two homozygous ecotypes and a mutant of each ecotype) showed that each genotype possesses a distinct metabolic profile. Data mining tools such as principal component analysis enabled the assignment of "metabolic phenotypes" using these large data sets. The metabolic phenotypes of the two ecotypes were more divergent than were the metabolic phenotypes of the single-loci mutant and their parental ecotypes. These results demonstrate the use of metabolite profiling as a tool to significantly extend and enhance the power of existing functional genomics approaches.