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Informational parameters and randomness of mitochondrial DNA
1Department of Physics, University of Parma, Italy.
Journal of Molecular Evolution
|January 1, 1988
Summary
Mitochondrial DNA language resembles bacterial DNA more than nuclear DNA in advanced animals. Genes for the same protein show differing randomness based on mitochondrial or nuclear origin, supporting the symbiotic theory of mitochondria.
Area of Science:
- Genomics
- Evolutionary Biology
- Bioinformatics
Background:
- Genomes contain informational content that can be analyzed using information theory.
- Mitochondria, crucial for cellular energy, have their own DNA (mtDNA) with a debated evolutionary origin.
Purpose of the Study:
- To analyze the informational content and randomness of nuclear and mitochondrial genomes.
- To compare the 'language' of mitochondrial DNA with bacterial and nuclear DNA.
- To investigate the evolutionary origin of mitochondria using information theory.
Main Methods:
- Application of Shannon's information theory to analyze DNA sequence 'language'.
- Utilizing Kolmogorov's complexity theory to assess the randomness of specific genes.
- Comparative analysis of genes coding for Subunit 9 of ATPase in different organisms (Neurospora crassa, Saccharomyces cerevisiae).
Main Results:
- Mitochondrial DNA exhibits linguistic similarities to bacterial DNA, particularly in evolutionarily advanced animals.
- Genes encoding the same protein show similar randomness if both are mitochondrial, but dissimilar randomness if one is nuclear and the other mitochondrial within the same organism.
- Analysis revealed distinct randomness patterns for nuclear versus mitochondrial genes coding for the same protein.
Conclusions:
- The findings support the endosymbiotic theory for the origin of mitochondria.
- Mitochondrial DNA's unique characteristics suggest an ancient bacterial ancestry.
- Information theory provides a powerful lens for understanding genome evolution and organelle origins.