Wu Shuang, Tian Beijing, Shan Chenggang, Wang Xin, Xie Xinjing, Xie Hongqing, Jia Xiuwen, Zhang Feng, Han Jinlong
Institute of Industry Crops, Shandong Academy of Agricultural Sciences, Jinan, Shandong, China.
National Center of Technology Innovation for Comprehensive Utilization of Saline-Alkali Land, Dongying, China.
Front Plant Sci. 2025 May 23;16:1577695. doi: 10.3389/fpls.2025.1577695. eCollection 2025.
Pall () is a perennial herb with high medicinal and economic value. In the growth process of , the plant's root secondary metabolism is intricately linked to the microbial communities that surround it. However, few systematic studies have reported the changes in the microbiome and metabolites during cultivation thus far. In this study, amplicon sequencing technology was used to determine the difference in rhizosphere microorganisms of . The non-targeted metabolomics method was used to determine the changes in root metabolites, and the relationship between microorganisms and metabolites was demonstrated by co-expression network analysis. The paeoniflorin content (PC) was determined by HPLC. The total phenol content (TPC) was determined by the Folin-Ciocalteu method, and the total flavonoid content (TFC) was determined by the NaNO-Al (NO) method. The antioxidants were evaluated with the DPPH, ABTS, and FRAP methods. Results showed that Proteobacteria had the highest relative abundance among all phyla, Halomonas had the highest relative abundance among all genera. The results of metabolomics showed that 693 metabolites and 207 differential metabolites were detected in the four groups, which were mainly enriched in the biosynthesis of phenylpropanoids, phenylpropanoid biosynthesis, taste transduction, central carbon metabolism in cancer, and biosynthesis of plant secondary metabolites. The results also showed that the PC, TPC, TFC, and antioxidant capacity of the white group were higher than those of the other groups. This study revealed the differences between different varieties of and provided theoretical support for breeding and data reference for improving the quality of by regulating microbial species.
芍药是一种具有很高药用和经济价值的多年生草本植物。在芍药的生长过程中，其根系的次生代谢与周围的微生物群落有着复杂的联系。然而，迄今为止，很少有系统研究报道芍药栽培过程中微生物组和代谢物的变化。在本研究中，利用扩增子测序技术确定芍药根际微生物的差异。采用非靶向代谢组学方法确定根系代谢物的变化，并通过共表达网络分析证明微生物与代谢物之间的关系。通过高效液相色谱法测定芍药苷含量（PC）。采用福林-酚法测定总酚含量（TPC），采用硝酸钠-铝（NO）法测定总黄酮含量（TFC）。采用DPPH、ABTS和FRAP法评估抗氧化剂。结果表明，变形菌门在所有门中相对丰度最高，嗜盐单胞菌属在所有属中相对丰度最高。代谢组学结果显示，在四组中检测到693种代谢物和207种差异代谢物，主要富集在苯丙烷类生物合成、苯丙烷类生物合成、味觉转导、癌症中的中心碳代谢以及植物次生代谢物的生物合成中。结果还表明，白芍组的PC、TPC、TFC和抗氧化能力均高于其他组。本研究揭示了不同品种芍药之间的差异，为育种提供了理论支持，并为通过调节微生物种类提高芍药品质提供了数据参考。
