IADR Abstract Archives
Defining Caries Related Microbiota Clusters in Adolescents using Multiplex Sequencing
Objectives: The oral cavity harbours a complex microbiome that is linked to dental diseases and serves as a route to other parts of the body. Here, the saliva and tooth biofilm microbiota pattern and association with caries in a population characterized by a low caries prevalence and regular dental care since early childhood were investigated.
Methods: Adolescents (n=154) were recruited and examined with respect to caries, and saliva and tooth biofilm was collected. Sample and mock bacteria community DNA were analysed using 16S rDNA Illumina MiSeq (v3-v4) multiplex sequencing and taxa determination was made by the Probesec pipeline (www. http://homings.forsyth.org/index2.html). Caries were scored using DFS as index.
Results: Microbiota characterization was obtained for 152 saliva samples and 139 tooth biofilm samples. Hierarchical cluster analysis revealed distinct clustering of both tooth biofilm and saliva microbiota. Caries prevalence and number of bacteria taxa (rarefaction analysis) was associated with tooth biofilm cluster classification with a statistically significant trend among clusters. Adolescents in clusters associated with less caries had higher abundances of Streptococcus sanguinis and Corynebacterium matruchotii than those with higher caries prevalence. Among species more prevalent in the cluster with the highest caries prevalence were species in the genera/division Fusobacterium, Prevotella, Treponema, TM7[G-5] and to a lesser degree Streptococcus mutans.
Conclusions: In conclusion, the present study indicates that distinct microbiota patterns are associated with caries prevalence, and likely risk to develop caries, beyond presence of Streptococcus mutans. These clusters are defined by species associated with being caries free and having caries but the biological and causal role of each of these species largely remains to be understood.
Methods: Adolescents (n=154) were recruited and examined with respect to caries, and saliva and tooth biofilm was collected. Sample and mock bacteria community DNA were analysed using 16S rDNA Illumina MiSeq (v3-v4) multiplex sequencing and taxa determination was made by the Probesec pipeline (www. http://homings.forsyth.org/index2.html). Caries were scored using DFS as index.
Results: Microbiota characterization was obtained for 152 saliva samples and 139 tooth biofilm samples. Hierarchical cluster analysis revealed distinct clustering of both tooth biofilm and saliva microbiota. Caries prevalence and number of bacteria taxa (rarefaction analysis) was associated with tooth biofilm cluster classification with a statistically significant trend among clusters. Adolescents in clusters associated with less caries had higher abundances of Streptococcus sanguinis and Corynebacterium matruchotii than those with higher caries prevalence. Among species more prevalent in the cluster with the highest caries prevalence were species in the genera/division Fusobacterium, Prevotella, Treponema, TM7[G-5] and to a lesser degree Streptococcus mutans.
Conclusions: In conclusion, the present study indicates that distinct microbiota patterns are associated with caries prevalence, and likely risk to develop caries, beyond presence of Streptococcus mutans. These clusters are defined by species associated with being caries free and having caries but the biological and causal role of each of these species largely remains to be understood.