Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Testing character correlation using pairwise comparisons on a phylogeny.

W P Maddison1

  • 1Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA. wmaddisn@u.arizona.edu

Journal of Theoretical Biology
|February 8, 2000
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Loss of genetic variability in social spiders: genetic and phylogenetic consequences of population subdivision and inbreeding.

Journal of evolutionary biology·2012
Same author

Complete separation along matrilines in a social spider metapopulation inferred from hypervariable mitochondrial DNA region.

Molecular ecology·2010
Same author

NEXUS: an extensible file format for systematic information.

Systematic biology·2002
Same author

Phylogenetic utility and evidence for multiple copies of elongation factor-1alpha in the spider genus Habronattus (Araneae: Salticidae).

Molecular biology and evolution·2001
Same author

A combined molecular approach to phylogeny of the jumping spider subfamily dendryphantinae (araneae: salticidae).

Molecular phylogenetics and evolution·2001
Same author

Phylogenetic analysis supports horizontal transfer of P transposable elements.

Molecular biology and evolution·1994
Same journal

Evolution of quantitative traits: exploring the ecological, social and genetic bases of adaptive polymorphism.

Journal of theoretical biology·2026
Same journal

The male-biased sex ratio in humans and its role in the transition from promiscuity to pair bonding.

Journal of theoretical biology·2026
Same journal

Quantifying the counter-intuitive effects of vaccination by coupling the transmission dynamics of COVID-19 and the evolution of human behaviors.

Journal of theoretical biology·2026
Same journal

An integrative model of FGF2-induced signaling and muscle cell proliferation.

Journal of theoretical biology·2026
Same journal

A hybrid reaction-diffusion and mechanical stimulus model for mandibular bone remodeling under chewing and vibratory loading.

Journal of theoretical biology·2026
Same journal

Integrated tick management strategies in fragmented peridomestic environments.

Journal of theoretical biology·2026
See all related articles

This study introduces algorithms for selecting phylogenetically independent taxon pairs in comparative biology. These methods maximize pair counts for character association analyses but do not guarantee statistical independence.

Area of Science:

  • Comparative biology
  • Phylogenetics
  • Bioinformatics

Background:

  • Pairwise comparisons of species or genes (terminal taxa) are crucial for detecting character associations in evolutionary studies.
  • Phylogenetic separation ensures that comparisons are independent along the branches of a phylogenetic tree.
  • Maximizing the number of phylogenetically separate pairs is essential for robust association detection.

Purpose of the Study:

  • To develop algorithms for identifying optimal taxon pairings in phylogenetic comparative studies.
  • To find sets of pairs that maximize the number of comparisons while maintaining phylogenetic separation.
  • To explore constraints on pairings, such as contrasting states in binary characters.

Main Methods:

  • Development of algorithms to find all taxon pairings that maximize the number of pairs.

Related Experiment Videos

  • Implementation of constraints for pairs with contrasting states in one or two binary characters.
  • Utilizing phylogenetic trees to define and select phylogenetically separate pairs.

    • Main Results:

    • Algorithms successfully identify sets of taxon pairs that maximize the number of phylogenetically separate comparisons.
    • The methods can incorporate constraints related to character states, allowing for targeted association studies.
    • Selected pairs, while phylogenetically separate, may not always be statistically independent.

    Conclusions:

    • The developed algorithms provide a systematic approach to selecting taxon pairs for comparative analyses.
    • Maximizing pair counts enhances the potential for detecting character associations within phylogenetic frameworks.
    • Researchers should be aware that phylogenetic separation does not inherently ensure statistical independence in chosen comparisons.