综合转录组和代谢组分析揭示了与不同品种中酚类化合物生物合成相关的候选基因。

Integrated Transcriptome and Metabolome Analyses Reveal Candidate Genes Associate with Phenolic Compound Biosynthesis in Different Varieties of .

作者信息

Ye Hong, Mu Jiaxin, Yang Tong, Shen Qi, Wang Yukun

机构信息

Guangdong Provincial Key Laboratory of Utilization and Conservation of Food and Medicinal Resources in Northern Region, Shaoguan University, Shaoguan 512005, China.

College of Biology and Agriculture, Shaoguan University, Shaoguan 512005, China.

出版信息

Int J Mol Sci. 2025 Mar 21;26(7):2841. doi: 10.3390/ijms26072841.

DOI:10.3390/ijms26072841

PMID:40243409

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11988548/

Abstract

(Perilla) has great potential for utilization in food and medicine due to the abundance of secondary metabolites, especially phenolic compounds. However, the molecular mechanism underlying phenolic compound synthesis in perilla remains poorly understood. By targeted metabolome analysis, we found nine differentially accumulated metabolites among QS2, QS6, and QO7 leaves and nine unique metabolites which only exist in QS6. Furthermore, transcriptome analysis showed the differential expression genes (DEGs) were significantly enriched into phenylpropanoid- and flavonoid-related pathways. Moreover, the integrated transcriptome and metabolome analyses indicated 14 candidates highly correlated with phenolic compound biosynthesis. In addition, phenylpropanoid- and flavonoid-biosynthesis-related DEGs, including one PAL, one CYP73A, one 4CL, two CHI, two F3H, one FLS, three CHS, two CYP75B1, one ANS, and two DFR, were isolated. The results in this study provide useful information for the metabolic regulation of phenolic compounds and serve as essential gene resources for future breeding programs.

摘要

紫苏由于含有丰富的次生代谢产物，尤其是酚类化合物，在食品和医药领域具有巨大的利用潜力。然而，紫苏中酚类化合物合成的分子机制仍知之甚少。通过靶向代谢组分析，我们在QS2、QS6和QO7叶片中发现了9种差异积累的代谢产物，以及仅存在于QS6中的9种独特代谢产物。此外，转录组分析表明差异表达基因（DEGs）显著富集到苯丙烷类和黄酮类相关途径。此外，转录组和代谢组的综合分析表明，有14个候选基因与酚类化合物生物合成高度相关。此外，还分离出了与苯丙烷类和黄酮类生物合成相关的DEGs，包括1个PAL、1个CYP73A、1个4CL、2个CHI、2个F3H、1个FLS、3个CHS、2个CYP75B1、1个ANS和2个DFR。本研究结果为酚类化合物的代谢调控提供了有用信息，并为未来的育种计划提供了重要的基因资源。