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Erschienen in: Clinical Oral Investigations 3/2019

24.01.2019 | Short Communication

Deep sequencing reveals specific bacterial signatures in the subgingival microbiota of healthy subjects

verfasst von: Eri Ikeda, Takahiko Shiba, Yuichi Ikeda, Wataru Suda, Akinori Nakasato, Yasuo Takeuchi, Miyuki Azuma, Masahira Hattori, Yuichi Izumi

Erschienen in: Clinical Oral Investigations | Ausgabe 3/2019

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Abstract

Objectives

This study aimed to define the comprehensive bacterial flora of the healthy oral cavity by identifying and comparing bacterial species in different subgingival sites using 454 sequencing of 16S rRNA genes.

Materials and methods

Subgingival plaque samples were taken from six target teeth (central incisor, first premolar, and first molar in both the maxilla and mandible) of 10 periodontally healthy patients. Bacterial DNA was extracted and next-generation sequencing of 16S rRNA genes was performed.

Results

Bacterial composition in phylum level was similar for all sites within the same individual irrespective of tooth location. Unweighted UniFrac distance values of microbiome also showed that average distance was significantly larger between subjects than between tooth locations of the same subjects.

Conclusions

The present results clarify the lack of effect of tooth location in the healthy subgingival microbiota. Results may suggest that any subgingival site can demonstrate similar subject-specific microbiota.

Clinical relevance

This investigation offers a better understanding of the uniqueness of the oral microbiome. The present study will facilitate sampling in future subgingival microbiological studies.
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Metadaten
Titel
Deep sequencing reveals specific bacterial signatures in the subgingival microbiota of healthy subjects
verfasst von
Eri Ikeda
Takahiko Shiba
Yuichi Ikeda
Wataru Suda
Akinori Nakasato
Yasuo Takeuchi
Miyuki Azuma
Masahira Hattori
Yuichi Izumi
Publikationsdatum
24.01.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Clinical Oral Investigations / Ausgabe 3/2019
Print ISSN: 1432-6981
Elektronische ISSN: 1436-3771
DOI
https://doi.org/10.1007/s00784-019-02805-3

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