Deep sequencing identifies ethnicity-specific bacterial signatures in the oral microbiome

Oral infections have a strong ethnic predilection; suggesting that ethnicity is a critical determinant of oral microbial colonization. Dental plaque and saliva samples from 192 subjects belonging to four major ethnicities in the United States were analyzed using terminal restriction fragment length...

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Bibliographic Details
Published in:PloS one 2013-10, Vol.8 (10), p.e77287-e77287
Main Authors: Mason, Matthew R, Nagaraja, Haikady N, Camerlengo, Terry, Joshi, Vinayak, Kumar, Purnima S
Format: Article
Language:English
Subjects:
African Americans
Analysis
Analysis of Variance
Asian Americans
Bacteria
Bacterial Infections - ethnology
Bacterial Infections - microbiology
Biofilms
Bioinformatics
Classifiers
Clustering
Colonization
Dental plaque
Dental Plaque - microbiology
Dental research
Dentistry
Disease
DNA Primers - genetics
Ecosystem biology
Ecosystems
Ethnicity
European Continental Ancestry Group
Genes
Genotype & phenotype
Health aspects
High-Throughput Nucleotide Sequencing - methods
Hispanic Americans
Humans
Learning algorithms
Likelihood Functions
Machine learning
Microbial activity
Microbiota - genetics
Microorganisms
Minority & ethnic groups
Multiculturalism & pluralism
Polymorphism
Polymorphism, Restriction Fragment Length
Public health
Restriction fragment length polymorphism
RNA, Ribosomal, 16S - genetics
Saliva
Saliva - microbiology
Sensitivity
Signatures
Species Specificity
United States - epidemiology
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Summary:Oral infections have a strong ethnic predilection; suggesting that ethnicity is a critical determinant of oral microbial colonization. Dental plaque and saliva samples from 192 subjects belonging to four major ethnicities in the United States were analyzed using terminal restriction fragment length polymorphism (t-RFLP) and 16S pyrosequencing. Ethnicity-specific clustering of microbial communities was apparent in saliva and subgingival biofilms, and a machine-learning classifier was capable of identifying an individual's ethnicity from subgingival microbial signatures. The classifier identified African Americans with a 100% sensitivity and 74% specificity and Caucasians with a 50% sensitivity and 91% specificity. The data demonstrates a significant association between ethnic affiliation and the composition of the oral microbiome; to the extent that these microbial signatures appear to be capable of discriminating between ethnicities.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0077287