Max-Planck-Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany.
Graduate School of Biological Sciences, Nara Institute of Science and Technology, Ikoma, Nara, 630-0192, Japan.
Sci Data. 2018 Apr 3;5:180051. doi: 10.1038/sdata.2018.51.
Application of mass spectrometry-based metabolomics enables the detection of genotype-related natural variance in metabolism. Differences in secondary metabolite composition of flowers of 64 Arabidopsis thaliana (Arabidopsis) natural accessions, representing a considerable portion of the natural variation in this species are presented. The raw metabolomic data of the accessions and reference extracts derived from flavonoid knockout mutants have been deposited in the MetaboLights database. Additionally, summary tables of floral secondary metabolite data are presented in this article to enable efficient re-use of the dataset either in metabolomics cross-study comparisons or correlation-based integrative analysis of other metabolomic and phenotypic features such as transcripts, proteins and growth and flowering related phenotypes.
基于质谱的代谢组学的应用使得检测基因型相关的代谢自然变异成为可能。本文介绍了 64 个拟南芥(Arabidopsis thaliana)天然品系花朵中次生代谢产物组成的差异,这些品系代表了该物种自然变异的很大一部分。品系和参照提取物的原始代谢组学数据来源于类黄酮缺失突变体,已被存入代谢组学数据库(MetaboLights)。此外,本文还提供了花朵次生代谢物数据的汇总表,以便在代谢组学交叉研究比较或基于其他代谢组学和表型特征(如转录物、蛋白质以及与生长和开花相关的表型)的相关性综合分析中,高效地重新使用该数据集。