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Explosions and hot spots in supertree methods.

William H E Day1, F R McMorris, Mark Wilkinson

  • 1whday@istar.ca <whday@istar.ca>

Journal of Theoretical Biology
|May 13, 2008
PubMed
Summary
This summary is machine-generated.

Supertree methods (SMs) can produce explosive, meaningless evolutionary trees from contradictory data. This study explores how these logical flaws impact rooted tree inference and identifies potential sources of error in supertree construction.

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Area of Science:

  • Phylogenetic Systematics
  • Computational Biology
  • Evolutionary Biology

Background:

  • Constructing large phylogenies (supertree methods) from smaller, overlapping evolutionary trees is a significant challenge in phylogenetic systematics.
  • Current supertree methods (SMs) often lack rigorous logical validation, potentially leading to flawed inferences.

Purpose of the Study:

  • To investigate the impact of logical contradictions ('explosions') on the inference of rooted trees using supertree methods.
  • To define concepts related to explosive inferences and identify their origins within input phylogenetic data.

Main Methods:

  • Conceptual analysis of logical propositions within supertree inference.
  • Illustrative examples to demonstrate the phenomenon of explosive inferences.
  • Identification of 'hot spots' in input phylogenies that may trigger logical inconsistencies.

Main Results:

  • Supertree methods can yield logically meaningless results when input data contains contradictory information.
  • Explosive inferences arise from specific, identifiable patterns within the input set of phylogenies.
  • The study defines and illustrates the concept of 'explosions' in the context of rooted tree inference.

Conclusions:

  • Understanding and identifying logical explosions is crucial for the reliable construction of evolutionary trees.
  • Supertree method outputs must be critically evaluated for logical consistency to ensure biological validity.
  • This work provides a framework for detecting and mitigating logical flaws in supertree inference.