ArticlemSphere2025
Comparative analysis of the human microbiome from four different regions of China and machine learning-based geographical inference.
Article in mSphere, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- A comparative analysis of skin bacteria in healthy individuals through traditional cultivation and high-throughput sequencing techniques.Scientific reports · 2026Article
- The human skin microbiome: factors affecting individuality and application in forensic investigations.International journal of legal medicine · 2026Review
- Forensic genetics in the omics era.Nature reviews. Genetics · 2026Review
- Application of artificial intelligence in oral health management: challenges and opportunities.Frontiers in medicine · 2026Review
- Skin Microbiome alterations in heroin users revealed by full-length 16S rRNA sequencing.BMC microbiology · 2025Article
- Identification of Occupations in Different Populations Based on Skin Microbial Characteristics.Current microbiology · 2025Article
- Metagenomic Next-Generation Sequencing-Assisted Risk Prediction and Stratification of Infections After Kidney Transplantation: A Case Study of COVID-19.Infection and drug resistance · 2025Article
- Machine learning integrates region-specific microbial signatures to distinguish geographically adjacent populations within a province.Frontiers in microbiology · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
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Abstract
The human microbiome, the community of microorganisms that reside on and inside the human body, is critically important for health and disease. However, it is influenced by various factors and may vary among individuals residing in distinct geographic regions. In this study, 220 samples, consisting of sterile swabs from palmar skin and oral and nasal cavities were collected from Chinese Han individuals living in Shanghai, Chifeng, Kunming, and Urumqi, representing the geographic regions of east, northeast, southwest, and northwest China. The full-length 16S rRNA gene of the microbiota in each sample was sequenced using the PacBio single-molecule real-time sequencing platform, followed by clustering the sequences into operational taxonomic units (OTUs). The analysis revealed significant differences in microbial communities among the four regions.
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Registered trials
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