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CoreTracker: accurate codon reassignment prediction, applied to mitochondrial genomes.

Emmanuel Noutahi1, Virginie Calderon1, Mathieu Blanchette2

  • 1Département d'Informatique et de Recherche Opérationnelle (DIRO), Université de Montréal, Montréal, QC CP 6128, Canada.

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Summary

CoreTracker is a new algorithm that accurately detects genetic code changes in multiple genomes. It improves upon existing tools by incorporating phylogenetic analysis for reliable codon reassignment inference.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Evolutionary Biology

Background:

  • Codon reassignments, or changes in the genetic code, occur across all life domains.
  • Existing automated tools for genetic code detection are limited to single genomes and often produce false positives due to a lack of validation.
  • Systematic approaches are crucial for accurate genetic code detection in the era of large-scale genome sequencing.

Purpose of the Study:

  • To develop a novel algorithm, CoreTracker, for the accurate inference of sense-to-sense codon reassignments.
  • To improve the precision and sensitivity of genetic code detection compared to existing methods.
  • To provide a tool that can analyze multiple related genomes simultaneously within a phylogenetic framework.

Main Methods:

  • CoreTracker identifies potential codon reassignments across a set of related genomes.
  • It employs statistical evaluations and a random forest classifier for prediction.
  • Validation is performed using a phylogeny-aware step to assess the impact on protein alignments.

Main Results:

  • CoreTracker successfully identifies and validates sense-to-sense codon reassignments.
  • The algorithm significantly outperforms existing methods in both precision and sensitivity when applied to metazoan and yeast genomes.
  • Simultaneous analysis of multiple genomes in a phylogenetic context allows for tracing the evolution of reassignments.

Conclusions:

  • CoreTracker offers a robust and accurate method for inferring codon reassignments.
  • Its ability to handle multiple genomes and incorporate phylogenetic information enhances reliability.
  • The tool aids in understanding the evolutionary mechanisms behind genetic code variations.