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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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Rearrangement-based phylogeny using the Single-Cut-or-Join operation.

Priscila Biller1, Pedro Feijão, João Meidanis

  • 1Institute of Computing, University of Campinas, Brazil. biller@ic.unicamp.br

IEEE/ACM Transactions on Computational Biology and Bioinformatics
|May 25, 2013
PubMed
Summary

The Single-Cut-or-Join (SCJ) operation effectively reconstructs evolutionary histories, accurately recovering genomic topologies and ancestral genomes with high efficiency. This method offers a conservative approach to genome reconstruction, minimizing false positives.

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Evolutionary Genomics

Background:

  • The Single-Cut-or-Join (SCJ) operation offers a novel approach to calculating rearrangement distances between multichromosomal genomes.
  • Its efficacy in reconstructing evolutionary history, particularly concerning topological accuracy and ancestral genome reconstruction, remained largely unexplored.
  • Fast algorithms based on SCJ have been developed, but their performance in practical evolutionary reconstruction scenarios requires thorough investigation.

Purpose of the Study:

  • To evaluate the effectiveness of the SCJ operation in reconstructing evolutionary topologies.
  • To assess the accuracy of SCJ in reconstructing ancestral genomes across different levels of a phylogenetic tree.
  • To provide practical, SCJ-based computational tools for evolutionary genomics research.

Main Methods:

  • Implementation of SCJ-based algorithms for phylogenetic tree reconstruction and ancestral genome inference.
  • Experimental evaluation using simulated datasets with up to 200 genomes and 3,000 genes.
  • Validation with real genomic data from Campanulaceae and Protostomes, comparing results against accepted phylogenetic trees.
  • Performance analysis based on Robinson-Foulds (split) distance for topology reconstruction and gene adjacency recovery rates for ancestral genomes.

Main Results:

  • SCJ successfully reconstructs evolutionary topologies, recovering 60% to over 95% of the original splits (as measured by Robinson-Foulds distance).
  • Ancestral genome reconstruction accuracy varies with depth; approximately 85% of gene adjacencies are recovered near leaves, decreasing to about 50% at the root for 64-leaf trees.
  • SCJ demonstrates a conservative reconstruction strategy, producing minimal false-positive gene adjacencies at the cost of some false negatives.
  • Computational performance is highly efficient, with topology reconstruction for 64 genomes (2,000 genes each) taking ~10.7 minutes and ancestral genome reconstruction taking ~3 seconds on a standard desktop.

Conclusions:

  • The SCJ operation is a robust and efficient method for reconstructing evolutionary histories, providing accurate topological and ancestral genome information.
  • SCJ's conservative nature makes it valuable for reliable genome reconstruction, especially in minimizing erroneous ancestral gene linkages.
  • The implemented SCJ-based tools offer significant speed advantages, making them practical for large-scale evolutionary genomics studies.