Identification of Age and Gender Specific Bacteria in Human Saliva through Next- Generation Sequencing
DOI:
https://doi.org/10.37506/ijfmt.v17i4.19964Keywords:
Saliva, Microbial Diversity, Next Generation Sequencing, DNA Metabarcoding, Microbial Forensic.Abstract
Characterization of human saliva through Next-Generation Sequencing (NGS) has emerged as a valuable tool for
understanding the complex microbial communities residing in the oral cavity. This study aims to investigate the
age and gender-based variations in the salivary microbiome using NGS technology. Saliva samples were collected
from a diverse population representing females among below 45 Vs above 45 and males among below 45 Vs
above 45. The DNA from the samples was extracted, and theV3-V4 region of the 16S rRNA gene was amplified
for NGS analysis. The obtained sequences were processed and analysed using bioinformatics tools to determine
the microbial composition and diversity. Preliminary results revealed distinct microbial profiles, indicating the
potential 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 salivabased
microbial characterization through NGS.
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