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整合转录组和代谢组分析揭示了 中类黄酮生物合成的调控机制。

Integrated transcriptome and metabolome analyses revealed regulatory mechanisms of flavonoid biosynthesis in .

机构信息

School of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang, China.

Guizhou Engineering Center for Innovative Traditional Chinese Medicine and Ethnic Medicine, Guizhou University, Guiyang, China.

出版信息

PeerJ. 2022 Jun 29;10:e13670. doi: 10.7717/peerj.13670. eCollection 2022.

DOI:10.7717/peerj.13670
PMID:35789656
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9250311/
Abstract

BACKGROUND

() is a common Miao medicine and is widely distributed in the Guizhou region of southern China. The botanical origin of includes the dry root and rhizome of (ACS) or (Thunb.) A.DC. (AC), which are closely related species morphologically. However, the secondary metabolites in their roots are different from one another, especially the flavonoids, and these differences have not been thoroughly explored at the molecular level. This project preliminarily identified regulatory molecular mechanisms in the biosynthetic pathways of the flavonoids between ACS and AC using a multi-omics association analysis.

METHODS

In this study, we determined the total levels of saponin, flavonoid, and phenolic in from different origins. Integrated transcriptome and metabolome analyses were used to identify the differentially expressed genes (DEGs) and differentially expressed metabolites (DEM). We also performed conjoint analyses on DEGs and DEMs to ascertain the degree pathways, and explore the regulation of flavonoid biosynthesis.

RESULTS

The total flavonoid and phenolic levels in ACS were significantly higher than in AC ( < 0.05). There were 17,685 DEGs between ACS vs. AC, 8,854 were upregulated and 8,831 were downregulated. Based on this, we continued to study the gene changes in the flavonoid biosynthesis pathway, and 100 DEGs involving flavonoid biosynthesis were differentially expressed in ACS and AC. We validated the accuracy of the RNA-seq data using qRT-PCR. Metabolomic analyses showed that 11 metabolites were involved in flavonoid biosynthesis including: Naringenin, Luteolin, Catechin, and Quercetin. A conjoint analysis of the genome-wide connection network revealed the differences in the types and levels of flavonoid compounds between ACS and AC. The correlation analysis showed that Naringenin, Luteolin, Catechin, and Quercetin were more likely to be key compounds in the flavonoid biosynthesis pathway also including 4CL, AOMT, CHS, CHI, DFR, F3'5'H, FLS, and LAR.

CONCLUSIONS

This study provides useful information for revealing the regulation of flavonoid biosynthesis and the regulatory relationship between metabolites and genes in the flavonoid biosynthesis pathway in from different origins.

摘要

背景

()是一种常见的苗族药物,广泛分布在中国南部的贵州省。的植物学起源包括(ACS)或(Thunb.)A.DC.(AC)的干燥根和根茎,它们在形态上是密切相关的物种。然而,它们根部的次生代谢产物彼此不同,特别是类黄酮,并且这些差异在分子水平上尚未得到彻底探索。本项目使用多组学关联分析初步鉴定了 ACS 和 AC 中类黄酮生物合成途径的调控分子机制。

方法

在这项研究中,我们测定了来自不同来源的总皂苷、总黄酮和总酚含量。综合转录组和代谢组分析用于鉴定差异表达基因(DEGs)和差异表达代谢物(DEM)。我们还对 DEGs 和 DEM 进行联合分析,以确定途径的程度,并探索类黄酮生物合成的调控。

结果

ACS 中的总黄酮和总酚含量明显高于 AC(<0.05)。ACS 与 AC 之间有 17685 个差异表达基因,8854 个上调,8831 个下调。在此基础上,我们继续研究类黄酮生物合成途径中的基因变化,发现 ACS 和 AC 中涉及类黄酮生物合成的 100 个 DEG 差异表达。我们使用 qRT-PCR 验证了 RNA-seq 数据的准确性。代谢组学分析表明,有 11 种代谢物参与了类黄酮生物合成,包括:柚皮苷、木犀草素、儿茶素和槲皮素。对全基因组连接网络的联合分析揭示了 ACS 和 AC 中类黄酮化合物的类型和水平的差异。相关性分析表明,柚皮苷、木犀草素、儿茶素和槲皮素更可能是类黄酮生物合成途径中的关键化合物,还包括 4CL、AOMT、CHS、CHI、DFR、F3'5'H、FLS 和 LAR。

结论

本研究为揭示不同来源中类黄酮生物合成的调控以及类黄酮生物合成途径中代谢物与基因的调控关系提供了有用信息。

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