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Conflict between Amino Acid and Nucleotide Characters.

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Summary

Silent substitutions in DNA sequences are more informative for phylogenetic analysis than amino acid replacements. Using amino acids can lead to misleading evolutionary trees due to composite characters and convergence.

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Area of Science:

  • Molecular Evolution
  • Phylogenetics
  • Bioinformatics

Background:

  • Phylogenetic analyses traditionally favor slowly evolving characters like amino acid replacements.
  • Amino acids are composite characters influenced by the degenerate genetic code, increasing susceptibility to convergent evolution.
  • Previous studies have overlooked the potential phylogenetic utility of silent, or synonymous, nucleotide substitutions.

Purpose of the Study:

  • To compare the phylogenetic informativeness of silent nucleotide substitutions versus amino acid replacement substitutions.
  • To investigate the impact of composite characters and convergence on phylogenetic tree reconstruction using amino acid data.
  • To assess the reliability of amino acid-based phylogenies in seed plants.

Main Methods:

  • Analysis of the atpB and rbcL genes from 567 seed plant species.
  • Phylogenetic tree construction using both nucleotide (silent substitutions) and amino acid (replacement substitutions) datasets.
  • Comparison of resulting phylogenetic trees with independent biological evidence.

Main Results:

  • Silent nucleotide substitutions provide more accurate phylogenetic signals than amino acid replacements.
  • Phylogenetic artifacts, including composite characters and convergence, cause amino acid-based trees to conflict with nucleotide-based trees.
  • Amino acid trees showed discordance with independent evidence, highlighting potential inaccuracies.

Conclusions:

  • Coding nucleotide sequences solely as amino acid characters offers limited phylogenetic benefit.
  • Relying on amino acid data for phylogenetic inference can yield misleading evolutionary relationships.
  • Silent nucleotide substitutions are a more reliable character type for reconstructing evolutionary history in seed plants.