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Proc Natl Acad Sci U S A. 2014 Jul 15;111(28):E2875-84. doi: 10.1073/pnas.1409644111. Epub 2014 Jun 25.

Oligotyping analysis of the human oral microbiome.

Author information

1
Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, MA 02543;
2
Department of Microbiology, The Forsyth Institute, Cambridge, MA 02142; and gborisy@forsyth.org jmarkwelch@mbl.edu.
3
Department of Pathology and Laboratory Medicine, Brown University, Providence, RI 02912.
4
Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, MA 02543; gborisy@forsyth.org jmarkwelch@mbl.edu.

Abstract

The Human Microbiome Project provided a census of bacterial populations in healthy individuals, but an understanding of the biomedical significance of this census has been hindered by limited taxonomic resolution. A high-resolution method termed oligotyping overcomes this limitation by evaluating individual nucleotide positions using Shannon entropy to identify the most information-rich nucleotide positions, which then define oligotypes. We have applied this method to comprehensively analyze the oral microbiome. Using Human Microbiome Project 16S rRNA gene sequence data for the nine sites in the oral cavity, we identified 493 oligotypes from the V1-V3 data and 360 oligotypes from the V3-V5 data. We associated these oligotypes with species-level taxon names by comparison with the Human Oral Microbiome Database. We discovered closely related oligotypes, differing sometimes by as little as a single nucleotide, that showed dramatically different distributions among oral sites and among individuals. We also detected potentially pathogenic taxa in high abundance in individual samples. Numerous oligotypes were preferentially located in plaque, others in keratinized gingiva or buccal mucosa, and some oligotypes were characteristic of habitat groupings such as throat, tonsils, tongue dorsum, hard palate, and saliva. The differing habitat distributions of closely related oligotypes suggest a level of ecological and functional biodiversity not previously recognized. We conclude that the Shannon entropy approach of oligotyping has the capacity to analyze entire microbiomes, discriminate between closely related but distinct taxa and, in combination with habitat analysis, provide deep insight into the microbial communities in health and disease.

KEYWORDS:

biogeography; microbiota; mouth

PMID:
24965363
PMCID:
PMC4104879
DOI:
10.1073/pnas.1409644111
[Indexed for MEDLINE]
Free PMC Article

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