Amplicon-Based Metagenomic Profiling of Human Gut Microbiota

This study aims to characterize the composition and diversity of the human gut microbiota across different age groups and dietary patterns using 16S rRNA gene based sequencing. Faecal samples are collected from individuals representing distinct age categories and dietary habits to evaluate age and diet-associated variations in gut microbial community structure. Amplicon sequencing of the bacterial 16S rRNA gene is employed to profile taxonomic composition, assess microbial diversity indices, and compare relative abundance patterns among cohorts. Comparative analyses are performed to identify microbial taxa and community signatures associated with differences in diet and age, and to explore their potential association with health and disease related states. The generated dataset provides a resource for understanding gut microbiota modulation by host related factors and supports future studies on microbiome-based stratification and personalized therapeutic approaches.本研究旨在依托基于16S核糖体RNA（16S rRNA）基因的测序技术，解析不同年龄组与饮食模式下人类肠道菌群的组成与多样性特征。研究收集了代表不同年龄类别与饮食习惯的个体粪便样本，以评估肠道微生物群落结构随年龄与饮食产生的关联变化。本研究采用细菌16S rRNA基因扩增子测序技术，对菌群的分类学组成进行表征，评估微生物多样性指数，并比较不同队列间的相对丰度模式。通过比较分析，本研究旨在筛选与饮食及年龄差异相关的微生物类群与群落特征，并探究其与健康及疾病相关状态的潜在关联。本研究生成的数据集可为解析宿主相关因素对肠道菌群的调控机制提供数据资源，并为未来开展基于微生物组的分层分型与个性化治疗相关研究提供支撑。