Taxonomic Diversity and Clinical Correlations in Periapical Lesions by Next-Generation Sequencing Analysis
Juliana D. Bronzato, Brenda P. F. A. Gomes, Tsute Chen

TL;DR
This study uses next-generation sequencing to analyze the bacterial diversity in dental lesions and finds that the microbial makeup varies by geography and symptoms.
Contribution
The study provides a unified bioinformatics analysis of periapical lesion microbiota using NGS data from multiple sources.
Findings
Periapical lesion microbiota shows significant variation by geographic region, sex, and symptoms.
Core species like Fretibacterium sp. HMT 360 and Porphyromonas endodontalis are prevalent across datasets.
Symptomatic lesions have higher abundance of Alloprevotella tannerae and Prevotella oris.
Abstract
Objectives: The aim of this study was to assess the taxonomic diversity of the microbiota associated with periapical lesions of endodontic origin and to determine whether microbial profiles vary across different populations and clinical characteristics using a unified in silico analysis of next-generation sequencing (NGS) data. Methods: Raw 16S rRNA sequencing data from three published studies were retrieved from the NCBI Sequence Read Archive and reprocessed using a standardized bioinformatics pipeline. Amplicon sequence variants were inferred using DADA2, and taxonomic assignments were performed using BLASTN against a curated 16S rRNA reference database. Alpha and beta diversity analyses were conducted using QIIME 2 and R, and differential abundance was assessed with ANCOM-BC2. Statistical comparisons were made based on population, sex, symptomatology, and other clinical metadata.…
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Taxonomy
TopicsEndodontics and Root Canal Treatments · Oral microbiology and periodontitis research · Dental Radiography and Imaging
