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Partitional Classification: A Complement to Phylogeny.

Marc Salomon1, Bruno Dassy1

  • 1Sorbonne Universités, UPMC Université Paris 06, Faculté de Biologie, Paris, France.

Evolutionary Bioinformatics Online
|June 28, 2016
PubMed
Summary

Evolutionary trees face challenges from gene transfer. This study introduces a new system classifying genetic communities, revealing a distinct Archaea-Eukaryote group separate from bacterial ones.

Keywords:
RNase P RNAbioinformaticsclassificationcluster analysisevolutionk-medoid analysis

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Area of Science:

  • Evolutionary Biology
  • Genomics
  • Bioinformatics

Background:

  • The "tree of life" research is active, with non-vertical gene transfer significantly impacting evolution.
  • Current methods constructing evolutionary trees from vital genes assume vertical transmission, a view increasingly challenged.
  • A new partitional taxonomic system is proposed to address complexities in evolutionary reconstruction.

Purpose of the Study:

  • To develop a novel taxonomic system for classifying life based on genetic data.
  • To re-evaluate evolutionary relationships by incorporating non-vertical gene transfer.
  • To establish a robust framework for phylogenetic analysis.

Main Methods:

  • Selection of RNase P RNA sequences from bacterial, archaeal, and eucaryal genera.
  • Alignment of sequences and application of k-medoid analysis for clustering.
  • Construction and classification of "genetic communities" (GCs) based on cluster-taxon correspondence.

Main Results:

  • A partitional taxonomic system was developed, clustering taxa at high taxonomic ranks.
  • Analysis identified distinct clusters, leading to the definition of genetic communities (GCs).
  • A clear distinction was observed between Archaea-Eukaryotes and six bacterial GCs.

Conclusions:

  • The proposed genetic community (GC) framework offers a new perspective on evolutionary relationships.
  • The Archaea-Eukaryotes contrastingly differ from bacterial GCs, suggesting significant evolutionary divergence.
  • GCs represent a potentially broader and more accurate frame for conducting phylogenies.