Codon usage trend in genes associated with obesity

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• Obesity presents significant societal and economic challenges, impacting productivity and healthcare costs.
• Understanding the genetic underpinnings of obesity is crucial for developing effective interventions.
• Codon Usage Bias (CUB) analysis offers insights into gene expression regulation and evolutionary pressures.

Purpose of the Study:

• To investigate the Codon Usage Bias (CUB) in genes associated with obesity.
• To compare the CUB of obesity-associated genes with that of housekeeping genes.
• To identify specific codons that differ significantly between these two gene sets.

Main Methods:

• Bioinformatic tools were employed to analyze CUB in obesity-associated genes.
• The study compared the effective number of codons (ENC) and relative synonymous codon usage (RSCU) between obesity and housekeeping genes.
• Statistical analysis (t-test) was performed to identify significant differences in codon usage.

Main Results:

• Both obesity and housekeeping genes exhibited low CUB, with mean ENC values of 50.45 and 52.03, respectively.
• Specific codons (e.g., CTG, GTG) were over-represented, while others were under-represented in both gene sets.
• Eleven codons showed significant differences (p < 0.05 or p < 0.01) between obesity and housekeeping genes.
• A strong correlation between GC12 and GC3 was observed in both gene sets, indicating directional mutation pressure.

Conclusions:

• Significant differences in codon usage exist between obesity-associated and housekeeping genes.
• These differences suggest varying mutational pressures influencing gene expression in obesity.
• Further research into CUB may elucidate novel therapeutic targets for obesity.