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转录组分析揭示了荞麦子叶和花中花色苷积累的机制。

Transcriptome Analysis Reveals the Accumulation Mechanism of Anthocyanins in Buckwheat ( Moench) Cotyledons and Flowers.

机构信息

Hubei Collaborative Innovation Center for Grain Industry/Hubei Key Laboratory of Waterlogging Disaster and Agricultural Use of Wetland/College of Agriculture, Yangtze University, Jingzhou 434000, China.

College of Horticulture and Gardening, Yangtze University, Jingzhou 434000, China.

出版信息

Int J Mol Sci. 2019 Mar 25;20(6):1493. doi: 10.3390/ijms20061493.

DOI:10.3390/ijms20061493
PMID:30934615
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6471586/
Abstract

Buckwheat () is a valuable crop which can produce multiple human beneficial secondary metabolites, for example, the anthocyanins in sprouts and flowers. However, as the predominant group of visible polyphenols in pigmentation, little is known about the molecular mechanisms underlying the anthocyanin biosynthesis within buckwheat. In this study, a comparative transcriptome analysis of green and red common buckwheat cultivars was carried out through RNA sequencing. Overall, 3727 and 5323 differently expressed genes (DEGs) were identified in flowers and cotyledons, respectively. Through GO and KEGG analysis, we revealed that DEGs in flowers and cotyledons are predominately involved in biosynthesis of anthocyanin. A total of 42 unigenes encoding 11 structural enzymes of the anthocyanin biosynthesis were identified as DEGs. We also identified some transcription factor families involved in the regulation of anthocyanin biosynthesis. Real-time qPCR validation of candidate genes was performed in flowers and cotyledons, and the results suggested that the high expression level of structural genes involved in anthocyanin biosynthetic pathway promotes anthocyanin accumulation. Our results provide the insight understanding for coloration of red common buckwheat.

摘要

荞麦是一种具有重要价值的作物,可产生多种有益于人类的次生代谢产物,例如芽和花中的花青素。然而,作为可见类黄酮中主要的一类,荞麦中花青素生物合成的分子机制知之甚少。在这项研究中,通过 RNA 测序对绿色和红色普通荞麦品种进行了比较转录组分析。总的来说,在花和子叶中分别鉴定出了 3727 个和 5323 个差异表达基因 (DEG)。通过 GO 和 KEGG 分析,我们揭示了花和子叶中的 DEGs 主要参与了花青素的生物合成。总共鉴定出 42 个编码花青素生物合成 11 种结构酶的 unigenes 作为 DEGs。我们还鉴定了一些参与花青素生物合成调控的转录因子家族。在花和子叶中对候选基因进行了实时 qPCR 验证,结果表明参与花青素生物合成途径的结构基因的高表达水平促进了花青素的积累。我们的结果为红色普通荞麦的着色提供了深入的了解。

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