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非靶向代谢组学分析揭示了黄籽和黑籽油菜品种之间黄酮类化合物的差异积累。

Untargeted Metabolomics Analysis Reveals Differential Accumulation of Flavonoids Between Yellow-Seeded and Black-Seeded Rapeseed Varieties.

作者信息

Shen Shulin, Tang Yunshan, Liu Daiqin, Chen Lulu, Zhang Yi, Ye Kaijie, Sun Fujun, Wei Xingzhi, Du Hai, Zhao Huiyan, Li Jiana, Qu Cunmin, Yin Nengwen

机构信息

Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City, College of Agronomy and Biotechnology, Southwest University, Chongqing 400715, China.

Academy of Agricultural Sciences, Southwest University, Chongqing 400715, China.

出版信息

Plants (Basel). 2025 Mar 1;14(5):753. doi: 10.3390/plants14050753.

Abstract

Rapeseed () is an important oilseed crop and yellow-seeded and black-seeded varieties have different metabolite profiles, which determines the quality and edibility of their oil. In this study, we performed a non-targeted metabolomics analysis of seeds from four rapeseed varieties at eight developmental stages. This analysis identified 4540 features, of which 366 were annotated as known metabolites. The content of these metabolites was closely related to seed developmental stage, with the critical period for seed metabolite accumulation being between 10 and 20 days after pollination. Through a comparative analysis, we identified 18 differentially abundant flavonoid features between yellow-seeded and black-seeded rapeseed varieties. By combining the flavonoid data with transcriptome data, we constructed a gene regulatory network that may reflect the accumulation of differentially abundant flavonoid features. Finally, we predicted 38 unknown features as being flavonoid features through molecular networking. These results provide valuable metabolomics information for the breeding of yellow-seeded rapeseed varieties.

摘要

油菜()是一种重要的油料作物,黄籽和黑籽品种具有不同的代谢物谱,这决定了它们油脂的质量和可食用性。在本研究中,我们对四个油菜品种在八个发育阶段的种子进行了非靶向代谢组学分析。该分析鉴定出4540个特征峰,其中366个被注释为已知代谢物。这些代谢物的含量与种子发育阶段密切相关,种子代谢物积累的关键时期是授粉后10至20天。通过比较分析,我们在黄籽和黑籽油菜品种之间鉴定出18个差异丰富的黄酮类特征峰。通过将黄酮类数据与转录组数据相结合,我们构建了一个可能反映差异丰富黄酮类特征峰积累的基因调控网络。最后,我们通过分子网络预测了38个未知特征峰为黄酮类特征峰。这些结果为黄籽油菜品种的育种提供了有价值的代谢组学信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/696f/11902209/74138d84f34a/plants-14-00753-g001.jpg

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