Identification of habit specific bacteria in human saliva through Next-Generation Sequencing

Characterization of human saliva through Next-Generation Sequencing has emerged as a valuable tool for understanding the complex microbial communities residing in the oral cavity. This study aims to investigate the habit-based variations in the salivary microbiome using Next-Generation Sequencing technology. Saliva samples were collected from a diverse population representing different habits, including smoking, alcohol consumption, and vegan diet. The DNA from the samples was extracted, and the V3-V4 region of the 16 S rRNA gene was amplified for Next-Generation Sequencing analysis. The obtained sequences were processed and analysed using bioinformatics tools to determine the microbial composition and diversity. Preliminary results revealed distinct microbial profiles associated with different habits, indicating the potential influence of different habits on the salivary microbiome. Smokers exhibited a higher abundance of certain pathogenic bacteria, while alcohol consumers showed alterations in microbial diversity compared to non-consumers. Furthermore, individuals with vegan diet demonstrated an increased prevalence of specific bacteria. These findings highlight the significance of habit-based characterization of the salivary microbiome and its potential implications in the presence of certain bacteria. Understanding the relationship between habits and the salivary microbiome could contribute to developing personalized approaches for estimating and identifying any particular individual. Further research is warranted to explore additional factors and expand the scope of habit-based analysis in saliva-based microbial characterization through Next-Generation Sequencing.