Informational parameters of nucleic acid and molecular evolution

Area of Science:

• Bioinformatics
• Information Theory
• Molecular Evolution

Background:

• Nucleic acid sequences contain vital information about molecular evolution.
• Understanding the statistical properties of genetic language is crucial for evolutionary studies.

Purpose of the Study:

• To perform a statistical analysis of nucleic acid sequences from an information theory perspective.
• To define and utilize a probability-order-difference (POD) matrix for analyzing evolutionary distances.
• To investigate the role of informational parameters in molecular evolution.

Main Methods:

• Statistical analysis of 2000 nucleic acid sequences (coding and non-coding regions).
• Grouping sequences into 20 categories.
• Calculation and averaging of informational parameters D1, D2, X, and F.
• Utilizing the POD matrix to assess evolutionary distances between sequence categories.

Main Results:

• The informational parameter [X] was identified as a robust statistical measure.
• [X] effectively characterizes both vocabulary composition and grammatical structure of the genetic language.
• A correlation between statistical parameters and molecular evolution was observed.

Conclusions:

• The statistical quantity [X] is a valuable tool for analyzing genetic language.
• [X] shows potential for investigating the evolutionary level of nucleic acid molecules.
• Information theory provides a framework for understanding molecular evolution patterns.