In-silico Codon Context and Synonymous Usage Analysis of Genes for Molecular Mechanisms Inducing Autophagy and

Rekha Khandia1, Pankaj Gurjar2,3, Victoria Romashchenko4

  • 1Department of Biochemistry and Genetics, Barkatullah University, Bhopal, India.

Abstract

Insights

This study analyzes codon usage in genes linked to autophagy and apoptosis, revealing distinct patterns in MAPK8 and identifying rare arginine codons. This information could help manipulate these cellular processes and understand neurodegeneration.

Area of Science:

  • Molecular Biology
  • Genetics
  • Cellular Biology

Background:

  • Autophagy and apoptosis are crucial cellular processes for maintaining homeostasis and removing damaged components.
  • Dysregulation of these processes, triggered by stress, can lead to neurodegeneration.
  • Shared molecular mechanisms precede both autophagy and apoptosis, making their study critical.

Purpose of the Study:

  • To investigate the codon usage patterns of genes involved in the molecular signaling pathways preceding autophagy and apoptosis.
  • To identify specific codon preferences and biases within these key genes.

Main Methods:

  • Analysis of eleven genes (DAPK1, BECN1, PIK3C3, BCL2, MAPK8, BNIP3L, PMAIP1, BAD, BID, BBC3, MCL1) common to autophagy and apoptosis signaling.
  • Evaluation of dinucleotide odds ratio, codon bias, usage, context, and rare codon frequency.

Main Results:

  • Abundant CpC and GpG dinucleotides were observed, with a preference for G/C-ending codons.
  • Clustering analysis highlighted a unique codon usage pattern in the MAPK8 gene.
  • The codon pair GAG-GAG was most frequent, and CGT and CGA were identified as the rarest arginine codons.

Conclusions:

  • The findings provide insights into the codon usage patterns of genes regulating autophagy and apoptosis.
  • Understanding these patterns may enable manipulation of autophagy and apoptosis.
  • This research can contribute to understanding the pathophysiology of neurodegenerative diseases linked to these cellular processes.