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Updated: Aug 22, 2025

Robust Ligature-Induced Model of Murine Periodontitis for the Evaluation of Oral Neutrophils
Published on: January 21, 2020
Codon Pattern and Compositional Constraints Determination of Genes Associated with Chronic Periodontitis
Rekha Khandia1, Megha Pandey2, Igor Vladimirovich Rzhepakovsky3
1Department of Biochemistry and Genetics, Barkatullah Universty, Bhopal 462026, India.
This study analyzed molecular patterns and evolutionary forces in genes linked to chronic periodontitis. Findings reveal specific nucleotide preferences and codon usage biases, with natural selection dominating mutation forces.
Area of Science:
- Genomics
- Evolutionary Biology
- Periodontal Disease Research
Background:
- Genome-wide association studies identified five genes (NIN, ABHD12B, WHAMM, AP3B2, SIGLEC5) associated with chronic periodontitis.
- Understanding the molecular characteristics and evolutionary pressures on these genes is crucial for disease mechanism elucidation.
Purpose of the Study:
- To investigate molecular patterns, including compositional parameters and codon usage.
- To assess the influence of evolutionary forces like mutation and natural selection on these genes.
Main Methods:
- Analysis of gene nucleotide composition (A, G, T, C).
- Evaluation of codon usage bias and identification of preferred codons.
- Assessment of mutational forces and natural selection acting on gene sequences.
Main Results:
- Genes showed a dominance of A and G nucleotides.
- A low codon usage bias was observed, with CTG and TCC being overused.
- AP3B2 and SIGLEC5 preferred GC-ending codons, while NIN, ABHD12B, and WHAMM preferred AT-ending codons.
- Natural selection was found to be the dominant evolutionary force, surpassing mutation, with compositional constraints also playing a role.
Conclusions:
- The study provides insights into the molecular patterns and evolutionary dynamics of genes associated with chronic periodontitis.
- These findings contribute to understanding the genetic basis of the disease and may guide future research for genetic markers.
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