4.6 Article

Subgingival microbiota in individuals with severe chronic periodontitis

Journal

JOURNAL OF MICROBIOLOGY IMMUNOLOGY AND INFECTION
Volume 51, Issue 2, Pages 226-234

Publisher

ELSEVIER TAIWAN
DOI: 10.1016/j.jmii.2016.04.007

Keywords

16S rRNA metagenomics; severe chronic periodontitis

Funding

  1. Ministry of Science and Technology [MOST 103-2622-E-126-022-CC1, MOST 104-2627-M-126-001]

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Background/Purpose: Subgingival microorganisms are potentially associated with periodontal diseases. However, the correlation between the variance in the periodontal microbiome and the prevalence and severity of periodontitis remains unclear. The aim of this study was to determine the subgingival microbiota in Taiwanese individuals with severe chronic periodontitis (SP). Methods: The composition of the subgingival microbiota in healthy and diseased individuals was compared using a 16S rRNA metagenomic approach and quantitative polymerase chain reaction (qPCR). A total of 20 samples, including 10 from healthy individuals and 10 from SP patients, were analyzed. Results: We found high microbial diversity, with an average of 774 classified phylotypes per sample and a total of six bacterial phyla across all samples. Cluster analysis by principal component analysis and heat map showed that the bacterial communities were different in the two groups. Streptococcus dominated across all the healthy samples, whereas Prevotella, Porphyromonas, and Treponema were highly abundant across all diseased samples. At least 13 bacterial genera were conserved among all the samples. Only eight genera, including Lautropia, Parvimonas, Actinomyces, Capnocytophaga, Paludibacter, Streptococcus, Haemophilus, and Corynebacterium, were significantly enriched in the healthy group, and six genera, including Porphyromonas, Treponema, Tannerella, Aggregatibacter, Peptostreptococcus, and Filifactor, were significantly enriched in the diseased group. Furthermore, a trend of abundance of bacteria at the species level measured by qPCR in all samples was consistent with the 16S rRNA metagenomics results. Conclusion: This study is the first in Taiwan to provide a picture of the microbiome in SP via 16S rRNA metagenomics. Copyright (C) 2016, Taiwan Society of Microbiology. Published by Elsevier Taiwan LLC.

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