The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Global diversity in the human salivary microbiome
Open accessAbstract
The human salivary microbiome may play a role in diseases of the oral cavity and interact with microbiomes from other parts of the human body (in particular, the intestinal tract), but little is known about normal variation in the salivary microbiome. We analyzed 14,115 partial (∼500 bp) 16S ribosomal RNA (rRNA) sequences from saliva samples from 120 healthy individuals (10 individuals from each of 12 worldwide locations). These sequences could be assigned to 101 known bacterial genera, of which 39 were not previously reported from the human oral cavity; phylogenetic analysis suggests that an additional 64 unknown genera are present. There is high diversity in the salivary microbiome within and between individuals, but little geographic structure. Overall, ∼13.5% of the total variance in the composition of genera is due to differences among individuals, which is remarkably similar to the fraction of the total variance in neutral genetic markers that can be attributed to differences among human populations. Investigation of some environmental variables revealed a significant association between the genetic distances among locations and the distance of each location from the equator. Further characterization of the enormous diversity revealed here in the human salivary microbiome will aid in elucidating the role it plays in human health and disease, and in the identification of potentially informative species for studies of human population history.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A new method for non-parametric multivariate analysis of variance
Anderson, M. J. (2001) · Austral Ecology · doi:10.1111/j.1442-9993.2001.01070.pp.x · Cited by 13,828
UniFrac: a New Phylogenetic Method for Comparing Microbial Communities
Lozupone, C., & Knight, R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.12.8228-8235.2005 · Cited by 8,227
Defining the normal bacterial flora of the oral cavity
Aas, J. A., Paster, B. J., Stokes, L. N., Olsen, I., & Dewhirst, F. E. (2005) · Journal of Clinical Microbiology · doi:10.1128/jcm.43.11.5721-5732.2005 · Cited by 3,092
An ecological and evolutionary perspective on human–microbe mutualism and disease
Dethlefsen, L., McFall-Ngai, M., & Relman, D. A. (2007) · Nature · doi:10.1038/nature06245 · Cited by 1,660
Cited by
The impact of the gut microbiota on human health: an integrative view
Clemente, J. C., Ursell, L. K., Parfrey, L. W., & Knight, R. (2012) · Cell · doi:10.1016/j.cell.2012.01.035 · Cited by 3,710
Bacterial Community Variation in Human Body Habitats Across Space and Time
Costello, E. K., Lauber, C. L., Hamady, M., Fierer, N., Gordon, J. I., & Knight, R. (2009) · Science · doi:10.1126/science.1177486 · Cited by 3,231
The oral microbiome in health and disease
Wade, W. G. (2013) · Pharmacological Research · doi:10.1016/j.phrs.2012.11.006 · Cited by 1,347
Defining the healthy “core microbiome” of oral microbial communities
Zaura, E., Keijser, B. J., Huse, S. M., & Crielaard, W. (2009) · BMC Microbiology · doi:10.1186/1471-2180-9-259 · Cited by 1,323
Human oral, gut, and plaque microbiota in patients with atherosclerosis
Koren, O., Spor, A., Felin, J., Fåk, F., Stombaugh, J., Tremaroli, V., Behre, C. J., Knight, R., Fagerberg, B., Ley, R. E., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1011383107 · Cited by 1,196
Metadata
- Authors
- Nasidze, I., Li, J., Quinque, D., Tang, K., & Stoneking, M.
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2009-02-27
- Volume
- 19
- Issue
- 4
- Pages
- 636-643
- ISSN
- 1088-9051 (ISSN-L)
- OpenAlex
- W1998490921
- Cited by
- 466
- References
- 4
- Type
- posted content
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Global diversity in the human salivary microbiome. https://app.cochat.ai/papers/10.1101/gr.084616.108
- The paper
- Nasidze, I., Li, J., Quinque, D., Tang, K., & Stoneking, M. (2009). Global diversity in the human salivary microbiome. Genome Research. https://doi.org/10.1101/gr.084616.108
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.