The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Gastrointestinal microbiology enters the metagenomics era
Abstract
PURPOSE OF REVIEW: Advances in DNA sequence-based technologies now permit genetic analysis of complex microbial populations without the need for prior cultivation. This review summarizes the molecular methods of culture-independent microbiology ('metagenomics') and their recent application to studies of the human gastrointestinal tract in both health and disease. RECENT FINDINGS: Culture-independent metagenomic surveys reveal unprecedented microbial biodiversity in the human intestine. Upwards of 40,000 bacterial species are estimated to comprise the collective gastrointestinal microbiome, most of which have not been characterized by culture. Diverse conditions such as antibiotic-associated diarrhea, Crohn's disease, ulcerative colitis, obesity, and pouchitis have been correlated with large-scale imbalances in gastrointestinal microbiota, or 'dysbiosis'. These findings demonstrate the importance of commensal microorganisms in maintaining gastrointestinal health. SUMMARY: Through technological and conceptual innovations in metagenomics, the complex microbial habitat of the human gastrointestinal tract is now amenable to detailed ecological analysis. Large-scale shifts in gut commensal populations, rather than occurrence of particular microorganisms, are associated with several gastroenterological conditions; redress of these imbalances may ameliorate the conditions.
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
Human gut microbes associated with obesity
Ley, R. E., Turnbaugh, P. J., Klein, S., & Gordon, J. I. (2006) · Nature · doi:10.1038/4441022a · Cited by 8,785
Host-Bacterial Mutualism in the Human Intestine
Bäckhed, F., Ley, R. E., Sonnenburg, J. L., Peterson, D. A., & Gordon, J. I. (2005) · Science · doi:10.1126/science.1104816 · Cited by 5,277
Ecological and Evolutionary Forces Shaping Microbial Diversity in the Human Intestine
Ley, R. E., Peterson, D. A., & Gordon, J. I. (2006) · Cell · doi:10.1016/j.cell.2006.02.017 · Cited by 3,358
An Immunomodulatory Molecule of Symbiotic Bacteria Directs Maturation of the Host Immune System
Mazmanian, S. K., Liu, C. H., Tzianabos, A. O., & Kasper, D. L. (2005) · Cell · doi:10.1016/j.cell.2005.05.007 · Cited by 2,910
Development of the Human Infant Intestinal Microbiota
Palmer, C., Bik, E. M., DiGiulio, D. B., Relman, D. A., & Brown, P. O. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050177 · Cited by 2,877
Community structure and metabolism through reconstruction of microbial genomes from the environment
Tyson, G. W., Chapman, J., Hugenholtz, P., Allen, E. E., Ram, R. J., Richardson, P. M., Solovyev, V. V., Rubin, E. M., Rokhsar, D. S., & Banfield, J. F. (2004) · Nature · doi:10.1038/nature02340 · Cited by 2,417
Reduced diversity of faecal microbiota in Crohn’s disease revealed by a metagenomic approach
Manichanh, C., Rigottier-Gois, L., Bonnaud, E., Gloux, K., Pelletier, E., Frangeul, L., Nalin, R., Jarrin, C., Chardon, P., Marteau, P., et al. (2006) · Gut · doi:10.1136/gut.2005.073817 · Cited by 2,277
Molecular Analysis of Commensal Host-Microbial Relationships in the Intestine
Hooper, L. V., Wong, M. H., Thelin, A., Hansson, L., Falk, P. G., & Gordon, J. I. (2001) · Science · doi:10.1126/science.291.5505.881 · Cited by 2,202
Zoetendal, E. G., von Wright, A., Vilpponen-Salmela, T., Ben-Amor, K., Akkermans, A. D. L., & de Vos, W. M. (2002) · Applied and Environmental Microbiology · doi:10.1128/aem.68.7.3401-3407.2002 · Cited by 868
Scanlan, P. D., Shanahan, F., O'Mahony, C., & Marchesi, J. R. (2006) · Journal of Clinical Microbiology · doi:10.1128/jcm.00312-06 · Cited by 330
GIAFFER, M. H., HOLDSWORTH, C. D., & DUERDEN, B. I. (1991) · Journal of Medical Microbiology · doi:10.1099/00222615-35-4-238 · Cited by 151
Cited by
The gut microbiota shapes intestinal immune responses during health and disease
Round, J. L., & Mazmanian, S. K. (2009) · Nature Reviews Immunology · doi:10.1038/nri2515 · Cited by 5,029
Gut microbiota in health and disease
Sekirov, I., Russell, S. L., Antunes, L. C. M., & Finlay, B. B. (2010) · Physiological Reviews · doi:10.1152/physrev.00045.2009 · Cited by 4,182
The keystone-pathogen hypothesis
Hajishengallis, G., Darveau, R. P., & Curtis, M. A. (2012) · Nature Reviews Microbiology · doi:10.1038/nrmicro2873 · Cited by 1,790
Role of microorganisms in the evolution of animals and plants: the hologenome theory of evolution
Zilber-Rosenberg, I., & Rosenberg, E. (2008) · FEMS Microbiology Reviews · doi:10.1111/j.1574-6976.2008.00123.x · Cited by 1,739
Neufeld, K. M., Kang, N., Bienenstock, J., & Foster, J. A. (2011) · Neurogastroenterology & Motility · doi:10.1111/j.1365-2982.2010.01620.x · Cited by 1,392
Metadata
- Authors
- Frank, D. N., & Pace, N. R.
- Venue
- Current Opinion in Gastroenterology
- Published
- 2008-01
- Volume
- 24
- Issue
- 1
- Pages
- 4-10
- ISSN
- 0267-1379 (ISSN-L)
- OpenAlex
- W1977085329
- Cited by
- 405
- References
- 11
- FWCI
- 19.23
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.