Cited by 3,231Gut microbiota and healthMicrobial Community Ecology and PhysiologyDermatology and Skin Diseases

Bacterial Community Variation in Human Body Habitats Across Space and Time

Open access
Costello, Elizabeth K., Lauber, Christian L., Hamady, Micah, Fierer, Noah, Gordon, Jeffrey I., Knight, Rob·2009·Science

Abstract

Growing on You: The human gut and skin harbor diverse microbial communities that are known to vary strikingly among individuals. Here, Costello et al. (p. 1694 , published online 5 November) analyzed microbial diversity among several distinct body habitats (including the gut, mouth, inside the ears and nose, and skin) of the same person at different times. They found that body habitat had more influence on microbial community composition than temporal differences and variation among people. Some skin locations, such as the index finger, back of the knee, and sole of the foot, on occasion harbored higher microbial diversity than the gut or oral cavity.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1126/science.1177486

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The fine structure of the healthy microbiota seems to be unique to individuals; intra-individual differences across time are typically much smaller than differences between individuals.

    “the fine structure of the healthy microbiota seems to be unique to individuals; intra-individual differences across time are typically much smaller than differences between individuals (Caporaso et al., 2011;Costello et al., 2009).”

    From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Costello et al., 2009

  • Small day-to-day variations in microbiota composition are generally observed within individuals.

    “Within individuals, small day-to-day variations in microbiota composition are generally observed (Costello et al., 2009), but these fluctuations become most obvious when we take a wider view across the lifespan (see Fig. 3).”

    From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Costello et al., 2009

  • No differences were found in beta diversity; longitudinal fecal samples were more similar within patients than between patients, despite some drift over time in the Chaput study.

    “Overall, no differences were identified in beta diversity since, as expected (19), longitudinal fecal samples were more similar within patients as compared to between patients, despite some drift with time in the Chaput study (Fig. S5A and S5C).”
  • Short-term longitudinal samplings from half the donors found that individuals are more similar to themselves over time compared with others.

    “Study of short-term longitudinal samplings from half the donors found that individuals are more similar to themselves over time compared with others (Costello et al., 2009; Flores et al., 2014; Mehta et al., 2018).”
  • Sebaceous environments possess specifically adapted, perhaps lipophilic bacteria.

    “Previous studies of skin environments have suggested that sebaceous environments possess specifically adapted, perhaps lipophilic bacteria (Costello et al., 2009; Grice et al., 2009).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Costello, E. K., Lauber, C. L., Hamady, M., Fierer, N., Gordon, J. I., & Knight, R.
Affiliations
  • University of Colorado Boulder (US)
  • Cooperative Institute for Research in Environmental Sciences (US)
  • Washington University in St. Louis (US)
  • Howard Hughes Medical Institute (US)
Corresponding author
Knight, Rob
Venue
Science
Published
2009-12-18
Volume
326
Issue
5960
Pages
1694-1697
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1989889539
Cited by
3,231
References
17
Citations by year
2026: 83 · 2025: 145 · 2024: 160 · 2023: 166 · 2022: 197 · 2021: 230 · 2020: 234 · 2019: 217 · 2018: 233 · 2017: 267 · 2016: 210 · 2015: 217 · 2014: 197 · 2013: 237 · 2012: 192
FWCI
58.17
Type
journal article
Language
en
Open access
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Howard Hughes Medical Institute
  • Crohn's and Colitis Foundation
  • National Institute of General Medical Sciences (T32GM065103)
  • National Institute of Diabetes and Digestive and Kidney Diseases (P50DK064540, P01DK078669, DK78669, DK64540)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
  • Health Sciences › Medicine › Dermatology › Dermatology and Skin Diseases
Keywords
human microbiome, bacterial community composition, biogeography, skin microbiome, gut microbiota, oral microbiota, temporal stability, interpersonal variability, community assembly, healthy adults
MeSH terms
Adult, Bacteria, DNA, Bacterial, DNA, Ribosomal, Ear Canal, Feces, Female, Hair, Humans, Male, Middle Aged, Mouth, Nose, Phylogeny, RNA, Ribosomal, 16S, Skin, Time Factors, Cluster Analysis, Genes, rRNA, Principal Component Analysis, Biodiversity, Metagenome

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review