Title |
Deep Sequencing Identifies Ethnicity-Specific Bacterial Signatures in the Oral Microbiome
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Published in |
PLOS ONE, October 2013
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DOI | 10.1371/journal.pone.0077287 |
Pubmed ID | |
Authors |
Matthew R. Mason, Haikady N. Nagaraja, Terry Camerlengo, Vinayak Joshi, Purnima S. Kumar |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 16 | 21% |
United Kingdom | 6 | 8% |
Canada | 2 | 3% |
Germany | 2 | 3% |
Spain | 2 | 3% |
Brazil | 1 | 1% |
Thailand | 1 | 1% |
Zimbabwe | 1 | 1% |
Portugal | 1 | 1% |
Other | 3 | 4% |
Unknown | 43 | 55% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 56 | 72% |
Practitioners (doctors, other healthcare professionals) | 12 | 15% |
Scientists | 8 | 10% |
Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 1% |
Germany | 1 | <1% |
Netherlands | 1 | <1% |
France | 1 | <1% |
Colombia | 1 | <1% |
Belgium | 1 | <1% |
Ireland | 1 | <1% |
Japan | 1 | <1% |
Russia | 1 | <1% |
Other | 0 | 0% |
Unknown | 282 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 55 | 19% |
Researcher | 43 | 15% |
Student > Master | 36 | 12% |
Student > Bachelor | 35 | 12% |
Other | 16 | 5% |
Other | 57 | 19% |
Unknown | 52 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 86 | 29% |
Biochemistry, Genetics and Molecular Biology | 46 | 16% |
Medicine and Dentistry | 42 | 14% |
Immunology and Microbiology | 18 | 6% |
Computer Science | 6 | 2% |
Other | 35 | 12% |
Unknown | 61 | 21% |