Linking Long-Term Dietary Patterns with Gut Microbial Enterotypes
Abstract
Diet strongly affects human health, partly by modulating gut microbiome composition. We used diet inventories and 16S rDNA sequencing to characterize fecal samples from 98 individuals. Fecal communities clustered into enterotypes distinguished primarily by levels of Bacteroides and Prevotella. Enterotypes were strongly associated with long-term diets, particularly protein and animal fat (Bacteroides) versus carbohydrates (Prevotella). A controlled-feeding study of 10 subjects showed that microbiome composition changed detectably within 24 hours of initiating a high-fat/low-fiber or low-fat/high-fiber diet, but that enterotype identity remained stable during the 10-day study. Thus, alternative enterotype states are associated with long-term diet.
Get full access to this article
View all available purchase options and get full access to this article.
Already a subscriber or AAAS Member?Log In
Supplementary Material
File (1208344tables1.xlsx)
File (1208344tables10.xls)
File (1208344tables11.zip)
File (1208344tables2.xlsx)
File (1208344tables3.xls)
File (1208344tables4.xls)
File (1208344tables5.xlsx)
File (1208344tables6.xlsx)
File (1208344tables7.xls)
File (1208344tables8.xls)
File (1208344tables9.xlsx)
File (wu.som.pdf)
References and Notes
1
Hooper L. V., Gordon J. I., Commensal host-bacterial relationships in the gut. Science 292, 1115 (2001).
2
Emminger A., Kahmann E., Savage D. S., A novel class of antitumour agents. II. In vitro testing. Cancer Lett. 2, 273 (1977).
3
Gill S. R., et al., Metagenomic analysis of the human distal gut microbiome. Science 312, 1355 (2006).
4
Arumugam M., et al., Nature 473, 174 (2011).
5
Wu G. D., et al., Sampling and pyrosequencing methods for characterizing bacterial communities in the human gut using 16S sequence tags. BMC Microbiol. 10, 206 (2010).
6
Margulies M., et al., Genome sequencing in microfabricated high-density picolitre reactors. Nature 437, 376 (2005).
7
See supporting material on Science Online.
8
Lozupone C., Hamady M., Knight R., UniFrac—an online tool for comparing microbial community diversity in a phylogenetic context. BMC Bioinformatics 7, 371 (2006).
9
McArdle B. H., Anderson M. J., Fitting multivariate models to community data: A comment on distance-based redundancy analysis. Ecology 82, 290 (2001).
10
Ley R. E., Turnbaugh P. J., Klein S., Gordon J. I., Microbial ecology: Human gut microbes associated with obesity. Nature 444, 1022 (2006).
11
Kanehisa M., Goto S., Kawashima S., Okuno Y., Hattori M., The KEGG resource for deciphering the genome. Nucleic Acids Res. 32 (database issue), D277 (2004).
12
Rousseeuw P. J., Silhouettes: A graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53 (1987).
13
De Filippo C., et al., Impact of diet in shaping gut microbiota revealed by a comparative study in children from Europe and rural Africa. Proc. Natl. Acad. Sci. U.S.A. 107, 14691 (2010).
Information & Authors
Information
Published In

Science
Volume 334 | Issue 6052
7 October 2011
7 October 2011
Copyright
Copyright © 2011, American Association for the Advancement of Science.
Article versions
You are viewing the most recent version of this article.
Submission history
Received: 13 May 2011
Accepted: 17 August 2011
Published in print: 7 October 2011
Acknowledgments
Acknowledgments: Supported by NIH grants UH2 DK083981 (F.D.B., J.D.L., and G.D.W.) and RO1 AI39368 (G.D.W.); Penn Genome Frontiers Institute; Penn Digestive Disease Center grant P30 DK050306; Joint Penn-CHOP Center for Digestive, Liver, and Pancreatic Medicine grants S10RR024525, UL1RR024134, and K24-DK078228; and the Howard Hughes Medical Institute. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Center for Research Resources, National Institutes of Health, or Pennsylvania Department of Health. Accession numbers (Sequence Read Archive): for the CAFE study, SRX021237, SRX021236, SRX020587, SRX020379, and SRX020378 (metagenomic); for the COMBO study, SRX020773, SRX020770, and SRX089367.
Authors
Metrics & Citations
Metrics
Article Usage
Altmetrics
Citations
Export citation
Select the format you want to export the citation of this publication.
Cited by
- Stratification of the Gut Microbiota Composition Landscape across the Alzheimer's Disease Continuum in a Turkish Cohort, mSystems, 7, 1, (2022).https://doi.org/10.1128/msystems.00004-22
- Characteristics of Gut Microbiota in Patients with GH-Secreting Pituitary Adenoma, Microbiology Spectrum, 10, 1, (2022).https://doi.org/10.1128/spectrum.00425-21
- Destabilization of the Bacterial Interactome Identifies Nutrient Restriction-Induced Dysbiosis in Insect Guts, Microbiology Spectrum, 10, 1, (2022).https://doi.org/10.1128/spectrum.01580-21
- Natural Products, a Potential Source of New Drugs Discovery to Combat Obesity and Diabetes: Their Efficacy and Multi-targets Actions in Treatment of These Diseases, Natural Products in Obesity and Diabetes, (101-275), (2022).https://doi.org/10.1007/978-3-030-92196-5
- Identification and action mechanism of lipid regulating components from Rhei Radix et rhizoma, Journal of Ethnopharmacology, (115179), (2022).https://doi.org/10.1016/j.jep.2022.115179
- Dietary ferulic acid and vanillic acid on inflammation, gut barrier function and growth performance in lipopolysaccharide-challenged piglets, Animal Nutrition, 8, 1, (144-152), (2022).https://doi.org/10.1016/j.aninu.2021.06.009
- Personal diet–microbiota interactions and weight loss, Proceedings of the Nutrition Society, (1-12), (2022).https://doi.org/10.1017/S0029665122000805
- Evaluating the Effects of Diet-Gut Microbiota Interactions on Sleep Traits Using the UK Biobank Cohort, Nutrients, 14, 6, (1134), (2022).https://doi.org/10.3390/nu14061134
- Drinking Water Source and Intake Are Associated with Distinct Gut Microbiota Signatures in US and UK Populations, The Journal of Nutrition, 152, 1, (171-182), (2021).https://doi.org/10.1093/jn/nxab312
- Matrix Effects on the Delivery Efficacy of Bifidobacterium animalis subsp. lactis BB-12 on Fecal Microbiota, Gut Transit Time, and Short-Chain Fatty Acids in Healthy Young Adults , mSphere, 6, 4, (2021).https://doi.org/10.1128/mSphere.00084-21
- See more
Loading...
View Options
Get Access
Log in to view the full text
AAAS login provides access to Science for AAAS Members, and access to other journals in the Science family to users who have purchased individual subscriptions.
- Become a AAAS Member
- Activate your AAAS ID
- Purchase Access to Other Journals in the Science Family
- Account Help
Log in via OpenAthens.
Log in via Shibboleth.
More options
Register for free to read this article
As a service to the community, this article is available for free. Login or register for free to read this article.
Buy a single issue of Science for just $15 USD.
View options
PDF format
Download this article as a PDF file
Download PDF





