Study on the Diversity of Bacteria Associated with Sclerotia of Polyporus umbellatus

Our research aims to comprehensively analyze the bacterial diversity in the sclerotia - associated soil of Polyporus umbellatus through high - throughput sequencing of raw data. Polyporus umbellatus is a valuable traditional Chinese medicinal fungus, and understanding the bacterial community in its sclerotia - associated soil can provide insights into its growth, development, and potential interactions with the soil micro - environment.By leveraging high - throughput sequencing technology, we are able to obtain a large number of 16S rRNA gene sequences from the soil samples associated with Polyporus umbellatus sclerotia. These raw data will be further processed and analyzed to accurately identify the taxonomic composition of bacteria, calculate alpha - diversity indices (such as Shannon, Simpson, Chao1, etc.) to evaluate the richness and evenness of the bacterial community, and conduct beta - diversity analysis (e.g., using PCoA, NMDS) to explore the differences in bacterial community structure among different samples.The results of this study are expected to contribute to several aspects. Firstly, it will help us understand the unique bacterial community characteristics in the sclerotia - associated soil of Polyporus umbellatus, which may be closely related to its growth and development, and potentially provide a basis for optimizing cultivation conditions. Secondly, it can enrich our knowledge of the complex soil - microbe - fungus interactions in the specific ecological niche of Polyporus umbellatus, deepening our understanding of the ecological functions of soil microorganisms in the growth process of medicinal fungi. Thirdly, the data and findings will be valuable for the scientific community studying soil microbial diversity and the cultivation of traditional Chinese medicinal materials, providing reference and data support for related research in the future.

本研究旨在通过高通量测序原始数据，全面解析猪苓（Polyporus umbellatus）菌核关联土壤中的细菌多样性。猪苓是一种珍贵的传统药用真菌，解析其菌核关联土壤中的细菌群落，可为阐明其生长发育规律以及与土壤微环境的潜在互作机制提供参考。本研究依托高通量测序技术，从猪苓菌核关联土壤样本中获取了大量16S核糖体RNA（16S rRNA）基因序列。后续将对这批原始数据进行预处理与分析：精准鉴定细菌的分类学组成，计算α多样性指数（如Shannon、Simpson、Chao1等）以评估细菌群落的丰富度与均匀度，同时开展β多样性分析（例如采用主坐标分析(PCoA)、非度量多维尺度分析(NMDS)），探究不同样本间细菌群落结构的差异。本研究结果预计可在多个方面发挥学术价值：其一，明确猪苓菌核关联土壤中独特的细菌群落特征——这类特征或与其生长发育紧密相关，可为优化其栽培条件提供理论依据；其二，丰富猪苓特定生态位中土壤-微生物-真菌复杂互作关系的认知，深化对药用真菌生长过程中土壤微生物生态功能的理解；其三，本研究产生的数据集与研究发现，可为从事土壤微生物多样性研究及中药材栽培的科研群体提供参考，为后续相关研究提供数据支撑与理论借鉴。