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Evolutionary sequence analysis of complete eukaryote genomes.

Jaime E Blair1, Prachi Shah, S Blair Hedges

  • 1NASA Astrobiology Institute, Department of Biology, The Pennsylvania State University, 208 Mueller Laboratory, University Park, Pennsylvania 16802-5301, USA. jeb322@psu.edu

BMC Bioinformatics
|March 15, 2005
PubMed
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This study introduces a new method to identify single-copy genes (panorthologs) for accurate eukaryotic phylogeny and divergence time estimation, overcoming challenges from gene duplication and loss.

Area of Science:

  • Evolutionary Biology
  • Genomics
  • Bioinformatics

Background:

  • Gene duplication and loss complicate eukaryotic evolutionary analyses.
  • Existing methods for orthologous gene identification are not optimized for phylogenetic accuracy.
  • Accurate reconstruction of species divergence times and phylogenies is crucial.

Purpose of the Study:

  • To develop a fast and simple genome comparison approach for assembling orthologs for evolutionary analysis.
  • To minimize errors in phylogenetic and divergence time estimations caused by gene duplication.
  • To apply the method to published eukaryote genomes for phylogeny and time estimation.

Main Methods:

  • Identified single-copy genes (panorthologs) to represent species divergences.
  • Minimized errors by excluding genes with duplication events.

Related Experiment Videos

  • Applied the approach to complete protein sets from published eukaryote genomes.

    • Main Results:

    • Identified 753 panorthologs from four eukaryote genomes, creating a 287,000-amino acid alignment.
    • Estimated the deuterostome-arthropod divergence in the Precambrian, predating the fossil record.
    • Consistent divergence time estimates and phylogenies were obtained using 7, 12, and 15 eukaryote genomes.

    Conclusions:

    • The developed method efficiently generates large sequence datasets for evolutionary analyses.
    • Results align with conventional methods, validating the approach for complete genome evolutionary studies.
    • This approach facilitates rapid and accurate evolutionary analyses of eukaryotic genomes.