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高粱种子黄酮类物质调控网络的代谢组学和转录组学综合分析。

Integrated metabolomics and transcriptomic analysis of the flavonoid regulatory networks in Sorghum bicolor seeds.

机构信息

Agricultural College, Inner Mongolia Minzu University, No. 996 Xilamulun Street, Kerqin District, Tongliao, 028000, Inner Mongolia, People's Republic of China.

Tongliao Agriculture and Animal Husbandry Research Institute, Tongliao, 028000, Inner Mongolia, People's Republic of China.

出版信息

BMC Genomics. 2022 Aug 26;23(1):619. doi: 10.1186/s12864-022-08852-7.

Abstract

BACKGROUND

The objective of this study was to reveal the flavonoid biosynthesis pathway in white (Z6), red (Z27) and black (HC4) seeds of the sweet sorghum (Sorghum bicolor) using metabolomics and transcriptomics, to identify different flavonoid metabolites, and to analyze the differentially expressed genes involved in flavonoid biosynthesis.

RESULTS

We analyzed the metabolomics and transcriptomics data of sweet sorghum seeds. Six hundred and fifty-one metabolites including 171 flavonoids were identified in three samples. Integrated analysis of transcriptomics and metabolomics showed that 8 chalcone synthase genes (gene19114, gene19115, gene19116, gene19117, gene19118, gene19120, gene19122 and gene19123) involved in flavonoid biosynthesis, were identified and play central role in change of color. Six flavanone including homoeriodictyol, naringin, prunin, naringenin, hesperetin and pinocembrin were main reason for the color difference.

CONCLUSIONS

Our results provide valuable information on the flavonoid metabolites and the candidate genes involved in the flavonoid biosynthesis pathway in sweet sorghum seeds.

摘要

背景

本研究旨在利用代谢组学和转录组学揭示甜高粱(Sorghum bicolor)白色(Z6)、红色(Z27)和黑色(HC4)种子中的类黄酮生物合成途径,鉴定不同的类黄酮代谢物,并分析参与类黄酮生物合成的差异表达基因。

结果

我们分析了甜高粱种子的代谢组学和转录组学数据。在三个样本中鉴定出 651 种代谢物,包括 171 种类黄酮。转录组学和代谢组学的综合分析表明,参与类黄酮生物合成的 8 个查尔酮合酶基因(基因 19114、基因 19115、基因 19116、基因 19117、基因 19118、基因 19120、基因 19122 和基因 19123)被鉴定出来,并在颜色变化中发挥核心作用。六种黄烷酮,包括柚皮素、柚皮苷、樱黄素、柚皮苷、橙皮素和 pinocembrin,是颜色差异的主要原因。

结论

我们的结果为甜高粱种子中类黄酮代谢物和参与类黄酮生物合成途径的候选基因提供了有价值的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4099/9414139/c57ce360308c/12864_2022_8852_Fig1_HTML.jpg

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