16s metagenomic sequencing and analysis of plaque sample around dental implants using nanopore sequencing platform - A preliminary report

Abstract

ABSTRACT Aim: The aim of the study was to evaluate the peri-implant microbiome in relation to the dental implant status such as plaque status, peri-implant sulcus depth, and bleeding on probing. Materials and Methods: Peri-implant subgingival biofilm samples were collected from three patients who received laser micro-grooved implants 18 months back, with paper points, and analyzed using 16s metagenomic sequencing and analyzed using nanopore sequencing platform. The microbial profile analysis based on the DNA classification of the microbial samples was done using the Burrows–Wheeler transform and Ferragina-Manzini index and optimized for metagenomic classification. Pavian was used to estimate and explore the taxonomic content. Results: The study results suggest that the microbiome diversity and species abundance showed high proportions of Veillonella, Streptococcus, Selenomonas, Fusobacterium, which could be considered as preliminary data for three different patients, one being diabetic, the other a smoker, and healthy control. Conclusions: The diabetic patients had predominantly Streptococcus (10%), whereas the smokers had predominantly Veillonella (18%) and Streptococcus (14%). The peri-implant sulcus region of diabetics and smokers shows a predominance of Gram-negative bacteria.