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Microbiome

Human body microbiome biogeography

Zhou Y, Gao H, Mihindukulasuriya KA, et al. · Genome biology · 2013

Open access · cc by · source: Europe PMC

Healthy human body sites host distinct bacterial communities across a massive 16S survey.

Study at a glance

Design
Cross-sectional — Multi-habitat 16S analysis of HMP and related healthy cohorts
N
N=236 · 2,983 specimens from 236 HMP subjects (plus smaller urine/penis, preterm stool, conjunctiva sets); >24 million reads
Population
Healthy Human Microbiome Project subjects across body habitats
Outcome
Taxonomic biogeography of the healthy human microbiome

Structured fields used in claim comparison tables when every cited study has a complete layer.

Key findings

30 phyla to 929 genera detected; habitats differ strongly; average V3–V5 depth ~8,167 reads.

Methodology

Analyzed >24 million 16S reads from 2,983 specimens spanning HMP and related healthy cohorts across many body habitats.

Limitations

Does not define disease causality for any taxon.

How this study connects

Role on claims

Each row is a claim on a concept or method page where this paper supports, challenges, or qualifies the statement. Roles are hand-checked — not a model guess.

  • QualifiesMicrobiomeconcept

    Strain-level gene content varies a lot within the same gut species — species labels are coarse.

    Even within the same named gut species, strain-level gene content varies substantially among healthy people—so species labels alone understate functional diversity.

    Scope note — different scale — body-site biogeography, not within-species gene content

    Limits the claim's scope: a different population, assay, or outcome.

  • Body habitat dominates taxonomy in healthy humans. Analysis of more than 24 million 16S reads from 2,983 specimens detected 30 phyla to 929 genera; habitats differed strongly, with average V3–V5 depth around 8,167 reads. The map is biogeography, not a disease mechanism.

    Evidence for the claim as stated.

  • Marker-gene 16S and shotgun metagenomes answer different questions in this set. HMP biogeography and the bee pesticide paper are amplicon community maps (the bee paper adds ITS); the infant diet paper sequences stool metagenomes and host mRNA. Treating every 'microbiome sequencing' paper as 16S genus tables hides the extra functional genes the infant paper actually uses.

    Evidence for the claim as stated.

  • Healthy-body biogeography analysed more than 24 million 16S reads from 2,983 specimens across HMP and related cohorts: 30 phyla to 929 genera, strong habitat differences, average V3–V5 depth about 8,167 reads. This is amplicon biogeography, not shotgun gene content, and it does not define disease causality for any taxon.

    Evidence for the claim as stated.

  • Shotgun gene-content metagenomics (within-species deletions across people; infant diet genes plus 459/660 host transcripts; B. dorei before seroconversion) is not the same experiment as HMP-style 16S biogeography (>24 million reads, 2,983 specimens, ~8,167 V3–V5 reads). A 16S habitat map cannot report accessory genes; a gene-deletion call cannot replace body-wide taxonomy.

    Evidence for the claim as stated.

Open questions

Tensions this paper is part of

From concept pages' “where studies disagree.” Disagreement means the same question; scope means different assays, populations, or outcomes.

History

When this study was placed

Dated entries from the concept change log — when this paper was added or removed as support, challenge, or qualifier on a claim.

  1. 2026-09-14

    Placed as a scope qualifier on Microbiome

    Even within the same named gut species, strain-level gene content varies substantially among healthy people—so species labels alone understate functional diversity.

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Same topic cluster — not a recommendation engine.