Microscopic-scale gut microbiota dataset of Kunming mice revealed by 16S rRNA gene high-throughput sequencing.

Ruibiao Fu, Jin Li, Meng Wang, Dong Xiao, Fangzhou Li, Xinguo Zhu

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Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Ruibiao FuDepartment of General Surgery, The First Affiliated Hospital of Soochow University, 215006, Suzhou, China.

Jin LiDepartment of General Surgery, Xuzhou Municipal Hospital Affiliated to Xuzhou Medical University (Xuzhou First People's Hospital), 221116, Xuzhou, China.

Meng WangFuyang Institute of Technology, 236000, Fuyang, China.

Dong XiaoCUMT-UCASAL Joint Research Center for Biomining and Soil Ecological Restoration, State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology, 221116, Xuzhou, China.

Fangzhou LiCUMT-UCASAL Joint Research Center for Biomining and Soil Ecological Restoration, Universidad Católica de Salta, A4400EDD, Salta, Argentina.

Xinguo ZhuDepartment of General Surgery, The First Affiliated Hospital of Soochow University, 215006, Suzhou, China.

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6 · The paper itself

Abstract

Gut microbiota profoundly influence host physiology, yet most studies rely on bulk-scale intestinal samples, overlooking microbial heterogeneity at the micro-scale. Here, we present a dataset generated from 378 colonic micro-scale grains (20-40 µm) and 20 bulk samples collected from four Kunming mice. Using Illumina NovaSeq 6000 sequencing of the 16S rRNA V4 region, we obtained over 8.0 million raw reads, processed into 1506 amplicon sequence variants (ASVs) spanning 19 phyla and 203 genera.

Indexed as

16S rRNA geneGut microbiotaKunming miceMetagenomicsMicro-scale

Identifiers

PMID41732369

DOI10.1016/j.dib.2026.112572

PMCPMC12925591

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