BodyMeta: A comprehensive database for microbes under various pathological and physiological conditions
Microorganisms residing in the gut and other anatomical sites exhibit substantial alterations under both physiological and pathological conditions, which are intricately linked to human health. Consequently, the establishment of a comprehensive metagenomic database encompassing diverse body sites under both pathological and physiological conditions is highly important. In this study, we developed BodyMeta (Body Metagenome Database), an upgraded version of the gutMEGA (gut Metagenome Atlas database), and we expanded the included studies considerably from 182 to 1261. These studies were classified into two categories: 600 literature-based studies without raw data (comprising 107 whole-genome sequencing and 493 16S amplicon sequencing studies) and 661 studies containing 663 raw datasets. We systematically categorized 1842 conditions derived from the 1261 studies into 966 pathological and 879 physiological conditions spanning 31 body sites, with the pathological conditions organized according to MeSH (Medical Subject Headings) terms. We comprehensively annotated the microbial contents, diversities, biomarkers and functional differences of the curated raw 16S amplicon sequencing data. In total, 59010 microbial taxa from literature sources and 40657 from raw datasets were mapped to the NCBI Taxonomy database. Additionally, related information about literature and experiments were compiled within BodyMeta. Collectively, the BodyMeta database provides a comprehensive resource for metagenomic investigations related to both physiological and pathological conditions, which can be freely accessed at https://bodymeta.omicsbio.info/.
Authors
- Bianli Gu
- Tianlu Wang (ORCID: https://orcid.org/0000-0002-7480-9705)
- Zexian Liu (ORCID: https://orcid.org/0000-0001-9698-0610)
- Jiamin Hu (ORCID: https://orcid.org/0000-0003-3030-2117)
- Shegan Gao (ORCID: https://orcid.org/0000-0001-9055-1479)
- Xiaoxing Li (ORCID: https://orcid.org/0000-0001-8791-7505)
- Minggang Cheng (ORCID: https://orcid.org/0000-0001-8849-6028)
- Jinghua Lu (ORCID: https://orcid.org/0000-0001-7169-1687)
- Qiuyue Chen (ORCID: https://orcid.org/0000-0002-3304-8321)
- Bijin Cao
- Dong Zhang (ORCID: https://orcid.org/0000-0002-0244-6706)
- Gang Pei (ORCID: https://orcid.org/0000-0002-4330-2530)
Institutions
- Sun Yat-sen University (CN)
- Henan University of Science and Technology (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- Shenzhen Bao'an District People's Hospital (CN)
- Sun Yat-sen University Cancer Center (CN)
Publication Details
- Journal
- Computational and Structural Biotechnology Journal
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.csbj.2025.08.002
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China