Composition of microbial oral biofilms during maturation in young healthy adults

In the present study we aimed to analyze the bacterial community structure of oral biofilms at different maturation stages in young healthy adults. Oral biofilms established on membrane filters were collected from 32 human subjects after 5 different maturation intervals (1, 3, 5, 9 and 14 days) and...

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Bibliographic Details
Published in:PloS one 2014-02, Vol.9 (2), p.e87449-e87449
Main Authors: Langfeldt, Daniela, Neulinger, Sven C, Heuer, Wieland, Staufenbiel, Ingmar, Künzel, Sven, Baines, John F, Eberhard, Jörg, Schmitz, Ruth A
Format: Article
Language:English
Subjects:
Adults
Analysis
Bacteria
Bacteria - growth & development
Bacteriology
Biodiversity
Biofilms
Biofilms - growth & development
Biology
Biomedical materials
Clusters
Colonization
Community structure
Dental research
Dentistry
Deoxyribonucleic acid
DNA
Evolutionary biology
Health
Humans
Infections
Inflammation
Maturation
Medical schools
Medicine
Membrane filters
Microbiota
Microbiota (Symbiotic organisms)
Microorganisms
Mouth - microbiology
Oral diseases
Oral hygiene
Phylogeny
Porphyromonas gingivalis
Prostheses
rRNA 16S
Species Specificity
Streptococcus
Streptococcus salivarius
Studies
Systemic diseases
Teeth
Young Adult
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Summary:In the present study we aimed to analyze the bacterial community structure of oral biofilms at different maturation stages in young healthy adults. Oral biofilms established on membrane filters were collected from 32 human subjects after 5 different maturation intervals (1, 3, 5, 9 and 14 days) and the respective phylogenetic diversity was analyzed by 16S rDNA amplicon sequencing. Our analyses revealed highly diverse entire colonization profiles, spread into 8 phyla/candidate divisions and in 15 different bacterial classes. A large inter-individual difference in the subjects' microbiota was observed, comprising 35% of the total variance, but lacking conspicuous general temporal trends in both alpha and beta diversity. We further obtained strong evidence that subjects can be categorized into three clusters based on three differently occurring and mutually exclusive species clusters.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0087449