College of Pharmaceutical Science, Dali University, Dali, 671000, China.
Western Yunnan Traditional Chinese Medicine and Ethnic Drug Engineering Center, Dali, 671000, China.
Sci Rep. 2024 Aug 17;14(1):19092. doi: 10.1038/s41598-024-69673-0.
Polygonatum kingianum Collett & Hemsl., is one of the most important traditional Chinese medicines in China. The purpose of this study is to investigate the relationship between herb quality and microbial-soil variables, while also examining the composition and structure of the rhizosphere microbial community in Polygonatum kingianum, the ultimate goal is to provide a scientific approach to enhancing the quality of P. kingianum. Illumina NovaSeq technology unlocks comprehensive genetic variation and biological functionality through high-throughput sequencing. And in this study it was used to analyze the rhizosphere microbial communities in the soils of five P. kingianum planting areas. Conventional techniques were used to measure the organic elements, pH, and organic matter content. The active ingredient content of P. kingianum was identified by High Performance Liquid Chromatography (HPLC) and Colorimetry. A total of 12,715 bacterial and 5487 fungal Operational Taxonomic Units (OTU) were obtained and taxonomically categorized into 81 and 7 different phyla. Proteobacteria, Bacteroidetes, and Acidobacteriae were the dominant bacterial phyla Ascomycota and Basidiomycota were the dominat fungal phyla. The key predictors for bacterial community structure included hydrolysable nitrogen and available potassium, while for altering fungal community structure, soil organic carbon content (OCC), total nitrogen content (TNC), and total potassium content (TPOC) were the main influencing factors. Bryobacter and Candidatus Solibacter may indirectly increase the polysaccharide content of P. kingianum, and can be developed as potential Plant Growth Promoting Rhizobacteria (PGPR). This study has confirmed the differences in the soil and microorganisms of different origins of P. kingianum, and their close association with its active ingredients. And it also broadens the idea of studying the link between plants and microorganisms.
黄精是中国最重要的传统中药材之一。本研究旨在探讨药材质量与微生物-土壤变量之间的关系，同时研究黄精根际微生物群落的组成和结构，以期为提高黄精质量提供科学方法。Illumina NovaSeq 技术通过高通量测序揭示了全面的遗传变异和生物功能。本研究中，它被用于分析五个黄精种植区土壤中的根际微生物群落。采用常规技术测量有机元素、pH 值和有机质含量。黄精的有效成分含量通过高效液相色谱法（HPLC）和比色法来鉴定。共获得 12715 个细菌和 5487 个真菌操作分类单元（OTU），并分为 81 个和 7 个不同的门。变形菌门、拟杆菌门和酸杆菌门是优势细菌门，子囊菌门和担子菌门是优势真菌门。细菌群落结构的主要预测因子包括水解氮和有效钾，而改变真菌群落结构的主要影响因素是土壤有机碳含量（OCC）、总氮含量（TNC）和总钾含量（TPOC）。Bryobacter 和 Candidatus Solibacter 可能间接增加黄精的多糖含量，可作为潜在的植物促生根际细菌（PGPR）加以开发。本研究证实了不同来源黄精的土壤和微生物存在差异，且它们与其有效成分密切相关。这也拓宽了研究植物与微生物之间联系的思路。
