Pyrosequencing of supra- and subgingival biofilms from inflamed peri-implant and periodontal sites

Autor: Ralph Scherer, Andreas Winkel, Jörg Eberhard, Ingmar Staufenbiel, Simone Schaumann, Sascha Nico Stumpp, Markus Schilhabel, Meike Stiesch
Rok vydání: 2014
Předmět:
Zdroj: BMC Oral Health
ISSN: 1472-6831
DOI: 10.1186/1472-6831-14-157
Popis: Background To investigate the microbial composition of biofilms at inflamed peri-implant and periodontal tissues in the same subject, using 16S rRNA sequencing. Methods Supra- and submucosal, and supra- and subgingival plaque samples were collected from 7 subjects suffering from diseased peri-implant and periodontal tissues. Bacterial DNA was isolated and 16S rRNA genes were amplified, sequenced and aligned for the identification of bacterial genera. Results 43734 chimera-depleted, denoised sequences were identified, corresponding to 1 phylum, 8 classes, 10 orders, 44 families and 150 genera. The most abundant families or genera found in supramucosal or supragingival plaque were Streptoccocaceae, Rothia and Porphyromonas. In submucosal plaque, the most abundant family or genera found were Rothia, Streptococcaceae and Porphyromonas on implants. The most abundant subgingival bacteria on teeth were Prevotella, Streptococcaceae, and TG5. The number of sequences found for the genera Tannerella and Aggregatibacter on implants differed significantly between supra- and submucosal locations before multiple testing. The analyses demonstrated no significant differences between microbiomes on implants and teeth in supra- or submucosal and supra- or subgingival biofilms. Conclusion Diseased peri-implant and periodontal tissues in the same subject share similiar bacterial genera and based on the analysis of taxa on a genus level biofilm compositions may not account for the potentially distinct pathologies at implants or teeth. Electronic supplementary material The online version of this article (doi:10.1186/1472-6831-14-157) contains supplementary material, which is available to authorized users.
Databáze: OpenAIRE