ArticleFrontiers in microbiology2018
Assessing and Interpreting the Within-Body Biogeography of Human Microbiome Diversity.
Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Spatial scaling of metagenomic diversity reveals ecological disruption in the gut microbiome of gout patients.Scientific reports · 2026Article
- Gene and function diversity-area relationships in the inflammatory bowel disease fecal and mucosal microbiome.Frontiers in microbiology · 2025Article
- Effects of broad-spectrum antibiotics on the colonisation of probiotic yeast Saccharomyces boulardii in the murine gastrointestinal tract.Scientific reports · 2022Article
- Shotgun metagenomic sequencing reveals skin microbial variability from different facial sites.Frontiers in microbiology · 2022Article
- Synergies of Systems Biology and Synthetic Biology in Human Microbiome Studies.Frontiers in microbiology · 2021Review
- Microbial evolution and ecological opportunity in the gut environment.Proceedings. Biological sciences · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A human body hosts a relatively independent microbiome including five major regional biomes (i.e., airway, oral, gut, skin, and urogenital). Each of them may possess different regional characteristics with important implications to our health and diseases (i.e., so-termed microbiome associated diseases). Nevertheless, these regional microbiomes are connected with each other through diffusions and migrations. Here, we investigate the within-body (intra-individual) distribution feature of microbiome diversity via diversity area relationship (DAR) modeling, which, to the best of our knowledge, has not been systematically studied previously. We utilized the Hill numbers for measuring alpha and beta-diversities and built 1,200 within-body DAR models with to date the most comprehensive human microbiome datasets of 18 sites from the human microbiome project (HMP) cohort. We established the intra-DAR profile (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.