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Assessing progress in systematics with continuous jackknife function analysis.

Jeremy A Miller1

  • 1Department of Systematic Biology--Entomology, National Museum of Natural History, NHB-105, Smithsonian Institution, PO Box 37012, Washington, DC 20013-7012, USA. zmjeremy@gwu.edu

Systematic Biology
|January 30, 2003
PubMed
Summary
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Continuous jackknife function (CJF) analysis assesses phylogenetic hypothesis stability. This method predicts if new data will alter evolutionary relationships, indicating robust phylogenetic hypotheses.

Area of Science:

  • Phylogenetics
  • Systematic Biology
  • Computational Biology

Background:

  • Systematists aim for asymptotically precise phylogenetic hypotheses.
  • Increasing characters should lead to stable evolutionary relationships.
  • Assessing data convergence on a reference tree is crucial.

Purpose of the Study:

  • Introduce Continuous Jackknife Function (CJF) analysis.
  • Develop a graphical method to evaluate phylogenetic hypothesis stability.
  • Predict the impact of accumulating data on evolutionary hypotheses.

Main Methods:

  • CJF analysis removes characters probabilistically.
  • Rarefied data matrices are analyzed phylogenetically.
  • Congruence between resulting trees and a reference tree is scored.

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Main Results:

  • Stable phylogenies show asymptotic CJF curves with high congruence.
  • Unstable phylogenies exhibit rapid congruence loss (linear/sigmoidal curves).
  • CJF curves predict data convergence and potential hypothesis alteration.

Conclusions:

  • CJF analysis quantifies data support for phylogenetic hypotheses.
  • Asymptotic curves suggest future data will not rapidly change the hypothesis.
  • CJF analysis aids in evaluating the reliability of evolutionary relationships.