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Exploration of the Effects of Different Blue LED Light Intensities on Flavonoid and Lipid Metabolism in Tea Plants via Transcriptomics and Metabolomics

机译:通过转录组学和代谢组学探索不同的蓝色LED强度对茶树中黄酮和脂质代谢的影响

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摘要

Blue light extensively regulates multiple physiological processes and secondary metabolism of plants. Although blue light quantity (fluence rate) is important for plant life, few studies have focused on the effects of different blue light intensity on plant secondary metabolism regulation, including tea plants. Here, we performed transcriptomic and metabolomic analyses of young tea shoots (one bud and two leaves) under three levels of supplemental blue light, including low-intensity blue light (LBL, 50 μmol m s ), medium-intensity blue light (MBL, 100 μmol m s ), and high-intensity blue light (HBL, 200 μmol m s ). The total number of differentially expressed genes (DEGs) in LBL, MBL and HBL was 1, 7 and 1097, respectively, indicating that high-intensity blue light comprehensively affects the transcription of tea plants. These DEGs were primarily annotated to the pathways of photosynthesis, lipid metabolism and flavonoid synthesis. In addition, the most abundant transcription factor (TF) families in DEGs were bHLH and MYB, which have been shown to be widely involved in the regulation of plant flavonoids. The significantly changed metabolites that we detected contained 15 lipids and 6 flavonoid components. Further weighted gene co-expression network analysis (WGCNA) indicated that (TEA001045) may be a hub gene for the regulation of lipid and flavonoid metabolism by blue light. Our results may help to establish a foundation for future research investigating the regulation of woody plants by blue light.
机译:蓝光广泛调节植物的多个生理过程和次级代谢。尽管蓝光量(通量率)对于植物生命很重要,但很少有研究集中在不同的蓝光强度对植物次生代谢调节(包括茶树)的影响上。在这里,我们在三种水平的补充蓝光(包括低强度蓝光(LBL,50μmolms),中等强度蓝光(MBL,100)下,对幼茶芽(一芽和两片叶子)进行了转录组学和代谢组学分析μmolms)和高强度蓝光(HBL,200μmolms)。 LBL,MBL和HBL中差异表达基因(DEG)的总数分别为1、7和1097,表明高强度蓝光全面影响茶树的转录。这些DEGs主要标注为光合作用,脂质代谢和类黄酮合成的途径。此外,DEG中最丰富的转录因子(TF)家族是bHLH和MYB,已显示它们广泛参与植物类黄酮的调节。我们检测到的代谢物发生了显着变化,其中包含15种脂质和6种类黄酮成分。进一步的加权基因共表达网络分析(WGCNA)表明(TEA001045)可能是通过蓝光调节脂质和类黄酮代谢的中枢基因。我们的结果可能有助于为将来研究蓝光对木本植物的调控研究奠定基础。

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