ArticleBiomedical reports2013
Data mining analysis of terminal restriction fragment length polymorphism shows geographical differences in the human gut microbiota.
Article in Biomedical reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Novel Techniques and Models for Studying the Role of the Gut Microbiota in Drug Metabolism.European journal of drug metabolism and pharmacokinetics · 2024Review
- Abundance and diversity of methicillin-resistant bacteria from bathroom surfaces at workplaces using CHROMagar media, 16S, and dnaJ gene sequence typing.International journal of molecular epidemiology and genetics · 2024Article
- Association of dietary patterns with the gut microbiota in older, community-dwelling men.The American journal of clinical nutrition · 2019Article
- Numerical analyses of intestinal microbiota by data mining.Journal of clinical biochemistry and nutrition · 2018Review
- Article
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Authors and funding
9 authors.
Funding
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Abstract
Environmental factors are important for shaping the gut microbiota. In this study, terminal-restriction fragment length polymorphism (T-RFLP) analysis was performed, and data mining analysis was applied to investigate the geographical differences in the gut microbiota in Japan. A total of 121 healthy individuals living in four different districts (Shiga, Hyogo, Fukuoka and Chiba prefectures) in Japan were enrolled. Their gut microbiota profiles were evaluated by T-RFLP analysis, and data mining analysis using the Classification and Regression Tree (C&RT) approach was performed. Data mining analysis provided a decision tree that clearly identified the various groups of subjects (nodes). Some nodes characterized the subjects from the four geographically distinct regions. Overall, 21 of the 35 subjects from the Hyogo Prefecture were mainly included in Node 21, 11 of the 16 subjects from the Shiga Prefecture were mainly included in Node 19, 37 of 40 subjects from the Chiba Prefecture were mainly included in Node 6 and 28 of 30 subjects from the Fukuoka Prefecture were included in Node 3. Only eight operational taxonomic units (OTUs) of the total 100 OTUs contributed to the characterization of the gut microbiota of the four geographically distinct districts in Japan. Geographical differences in the human gut microbiota were identified in Japan. Data mining analysis appears to be one of the optimal tools for characterization of the human gut microbiota.
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