Cataloging the <i>Brassica napus</i> seed metabolome

The allotetraploid Brassicales member canola (<i>Brassica napus</i> L.) is an oil-seed crop sought primarily for vegetable oil, animal feed, and biofuel. With the advent of -omics (genomics, transcriptomics, proteomics, and metabolomics) technologies, numerous studies have focused on deciphering the functional genes, proteins, and metabolites in canola. However, the oil-yielding seeds are of commercial interest and only a handful of studies using mass-spectrometry (MS) or spectroscopy based platforms have attempted to characterize and quantify metabolites of the seed. Baring metabolite profiling approaches which study groups of chemicals, metabolomic insights into the seeds are very recent. Canola seeds are enriched in fatty acids, glucosinolates, phenylpropanoids (i.e. sinapoyl cholines), flavonoids, and phytohormones among others as has become evident from MS and spectroscopy-based recent studies. Thus, cataloging of the seed metabolome is essential before gaining further insights into their roles in seed biology and plant physiology in order to further understand the qualitative traits and products obtainable from the seeds.

异源四倍体十字花目（Brassicales）物种甘蓝型油菜（Brassica napus L.）是一类油料作物，其核心应用场景为制取植物油、作为动物饲料及生产生物燃料。随着组学（-omics，涵盖基因组学（genomics）、转录组学（transcriptomics）、蛋白质组学（proteomics）与代谢组学（metabolomics））技术的兴起，诸多研究致力于解析甘蓝型油菜中的功能基因、蛋白质及代谢产物。然而，兼具商业价值的油料种子相关研究却相对匮乏，目前仅有少量采用质谱（mass-spectrometry, MS）或光谱技术平台的研究，尝试对种子中的代谢物进行定性表征与定量分析。除却针对化学物集群的代谢物轮廓分析（metabolite profiling）手段外，针对种子的代谢组学认知仍属较新的研究领域。近期基于质谱与光谱技术的研究已证实，甘蓝型油菜种子富含脂肪酸、硫代葡萄糖苷（glucosinolates）、苯丙烷类化合物（phenylpropanoids，即芥子酰胆碱类（sinapoyl cholines））、黄酮类化合物（flavonoids）及植物激素（phytohormones）等多种成分。因此，在进一步探究这些代谢物在种子生物学与植物生理中的功能之前，先对种子代谢组进行系统编目是十分必要的，这也有助于深入理解该油料种子所具备的品质特性及其可产出的相关产物。

搜集汇总

背景与挑战

背景概述

该数据集聚焦于油菜（Brassica napus L.）种子的代谢组学分析，旨在通过质谱或光谱技术对种子中的关键代谢物（如脂肪酸、硫代葡萄糖苷和苯丙烷类化合物）进行表征和量化。数据集发布于2016年，作为补充材料支持相关研究，帮助理解种子生物学和植物生理学，以优化油菜的定性性状和产品开发。