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Updated: Mar 1, 2026

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Published on: October 4, 2018
Parallel Evolution of Metazoan Mitochondrial Proteins
Galya V Klink1, Georgii A Bazykin1,2
1Institute for Information Transmission Problems (Kharkevich Institute) of the Russian Academy of Sciences, Moscow, Russia.
Amino acid propensities change over time, increasing homoplasies in related species. This suggests fitness landscapes evolve similarly to amino acid substitution rates.
Area of Science:
- Evolutionary biology
- Molecular evolution
- Phylogenetics
Background:
- Amino acid propensities at specific sites change over evolutionary time.
- These changes are driven by factors like epistasis and environmental shifts.
- Such dynamics influence the fixation probabilities of different amino acids and can increase homoplasy rates.
Purpose of the Study:
- To investigate the relationship between evolutionary time and the rates of homoplasy versus divergent substitution.
- To determine if changes in fitness landscapes correlate with the rate of amino acid evolution.
Main Methods:
- Phylogenetic reconstruction of twelve mitochondrial proteins across thousands of metazoan species.
- Measurement of phylogenetic distances at which homoplasies and divergent substitutions occur.
- Analysis comparing the distances for parallel versus divergent substitutions.
Main Results:
- The mean phylogenetic distance between parallel substitutions is approximately 20% lower than that for divergent substitutions.
- This indicates a higher likelihood of a fixed variant being deleterious in more remote species compared to closely related ones.
- Findings remain robust despite potential phylogenetic reconstruction artifacts or site pooling.
Conclusions:
- Fitness landscapes at single amino acid positions evolve at rates comparable to amino acid changes themselves.
- The observed pattern of homoplasy rates supports the dynamic nature of evolutionary constraints.
- This implies that the selective environment or interactions influencing amino acid fixation are not static over long evolutionary timescales.
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