Abstract
Characterization of human saliva through Next-Generation Sequencing (NGS) has emerged as a valuable tool forunderstanding the complex microbial communities residing in the oral cavity. This study aims to investigate theage and gender-based variations in the salivary microbiome using NGS technology. Saliva samples were collectedfrom a diverse population representing females among below 45 Vs above 45 and males among below 45 Vsabove 45. The DNA from the samples was extracted, and theV3-V4 region of the 16S rRNA gene was amplifiedfor NGS analysis. The obtained sequences were processed and analysed using bioinformatics tools to determinethe microbial composition and diversity. Preliminary results revealed distinct microbial profiles, indicating thepotential influence of age and gender on the salivary microbiome.Further research is warranted to explore additional factors and expand the scope of habit-based analysis in salivabasedmicrobial characterization through NGS.
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