Full-length 16S rRNA gene sequencing data (V1–V9) from fecal and mesenteric adipose tissue in individuals with severe obesity

This dataset contains raw sequencing data from full-length 16S rRNA gene amplicon sequencing (V1–V9 region) performed on fecal and mesenteric adipose tissue samples collected from individuals with severe obesity. Sequencing was conducted using the PacBio Sequel II platform, enabling high-resolution and long-read data acquisition. A universal primer pair (27F/1492R) was used for amplification. Raw data files are provided in FASTQ format. The data were generated to investigate differences in microbial composition between gut and adipose tissue compartments and their relationship to metabolic phenotypes in obesity. Each sample achieved a minimum sequencing depth of 20,000 reads. Processed data, including Amplicon Sequence Variant (ASV) tables and taxonomic classification outputs, were generated using QIIME2 (v2022.03) with DADA2 and the classify-sklearn algorithm. Taxonomic assignment was based on a curated reference database.

本数据集包含从重度肥胖个体采集的粪便及肠系膜脂肪组织样本中获得的全长16S rRNA基因扩增子测序（V1–V9区）原始测序数据。本次测序采用PacBio Sequel II平台完成，可获取高分辨率长读长测序数据。实验使用通用引物对27F/1492R进行扩增。原始数据文件以FASTQ格式提供。本数据集的生成旨在探究肠道与脂肪组织微生物组组成的差异，及其与肥胖患者代谢表型的关联。所有样本的最小测序深度均达到20000条测序读段。经处理的数据集包含扩增子序列变异体（Amplicon Sequence Variant, ASV）表格与分类学分类输出结果，通过QIIME2（v2022.03）结合DADA2与classify-sklearn算法生成。分类学赋值基于精选参考数据库完成。