Shanghai Agrobiological Gene Center, Shanghai 201106, China.
J Agric Food Chem. 2011 Sep 14;59(17):9257-64. doi: 10.1021/jf201602g. Epub 2011 Aug 16.
In this study, metabolic profiles of a set of 48 rice germplasms from the Chinese core collection were obtained by gas chromatography and time-of-flight mass spectrometry (GC-TOF-MS). Forty-one metabolites were identified and relatively quantified according to the internal standard (IS). Wide ranges of variations for all metabolites were observed among rice accessions. The maximum/minimum ratios varied from 4.73 to 211.36. The metabolites were categorized into seven groups based on their chemical characteristics. Clustering analysis and a correlation network showed that most of the metabolites had variations among rice accessions in the same direction. Using 218 molecular markers, association mapping was conducted to identify the chromosomal loci influencing the concentrations of identified metabolites. Twenty markers were identified associating with the concentrations of 29 metabolites [-lg(P) > 3]. Allelic effects were investigated in detail in two markers (RM315 and RM541) as examples.
本研究采用气相色谱-飞行时间质谱联用（GC-TOF-MS）技术对来自中国核心水稻种质资源库的 48 份水稻种质的代谢谱进行了分析。根据内标（IS）对 41 种代谢物进行了鉴定和相对定量。在供试水稻品种中，所有代谢物均表现出较大的变异范围。最大/最小比值从 4.73 到 211.36 不等。根据化学性质，将代谢物分为七类。聚类分析和相关网络显示，大多数代谢物在同一方向上具有品种间的变异。利用 218 个分子标记，进行了关联作图，以鉴定影响鉴定代谢物浓度的染色体位置。鉴定了 20 个标记与 29 种代谢物浓度相关（-lg(P) > 3）。以 RM315 和 RM541 两个标记为例，详细研究了等位基因效应。
