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

Canonical phylogenetic ordination.

Norberto P Giannini1

  • 1Division of Vertebrate Zoology, Department of Mammalogy, American Museum of Natural History, Central Park West at 79th Street, New York, New York 10024-5192, USA. norberto@amnh.org

Systematic Biology
|October 8, 2003
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

The squirrel barrier concept and its bearing on the evolution of aerial mammals.

BMC ecology and evolution·2026
Same author

Evolution and ecology of body size in the world's largest bats.

Proceedings. Biological sciences·2025
Same author

A new phylogeny and classification of the tinamous, volant palaeognathous birds from the Neotropics.

Cladistics : the international journal of the Willi Hennig Society·2025
Same author

Historical biogeography of the Neotropical noctilionoid bats (Chiroptera: Noctilionoidea), revisited through a geographically explicit analysis.

Cladistics : the international journal of the Willi Hennig Society·2024
Same author

Palaeoatmosphere facilitates a gliding transition to powered flight in the Eocene bat, Onychonycteris finneyi.

Communications biology·2024
Same author

Patterns of ontogenetic evolution across extant marsupials reflect different allometric pathways to ecomorphological diversity.

Nature communications·2023
Same journal

Diversification dynamics in the global radiation of gobies.

Systematic biology·2026
Same journal

Correction to: nQMaker: Estimating Time Nonreversible Amino Acid Substitution Models.

Systematic biology·2026
Same journal

Phylogenomic challenges in polyploid-rich lineages: Insights from paralog processing and reticulation methods using the complex genus Packera (Asteraceae: Senecioneae).

Systematic biology·2026
Same journal

An evolving view of phylogenetic biogeography.

Systematic biology·2026
Same journal

Modeling Site-and-Branch-Heterogeneity with GFmix.

Systematic biology·2026
Same journal

Coalescent-based branch length estimation improves dating of species trees.

Systematic biology·2026
See all related articles

This study introduces a new phylogenetic comparative method to identify historical effects on evolutionary data. The method pinpoints specific monophyletic groups within a cladogram that explain variation, offering a more nuanced understanding of phylogenetic influence.

Area of Science:

  • Evolutionary biology
  • Phylogenetics
  • Comparative genomics

Background:

  • Phylogenetic comparative methods are crucial for understanding evolutionary patterns.
  • Existing methods may not fully capture localized phylogenetic effects within a tree.
  • Identifying specific historical influences on trait evolution is a key challenge.

Purpose of the Study:

  • To develop a novel phylogenetic comparative method for estimating historical effects on comparative data.
  • To utilize partitions of a cladogram (monophyletic groups) for enhanced analysis.
  • To provide a flexible framework applicable to various statistical models and data types.

Main Methods:

  • Defined two matrices, Y (comparative data) and X (phylogenetic tree matrix with monophyletic groups).

Related Experiment Videos

  • Employed regression or canonical ordination with Monte Carlo permutations to identify explanatory subsets of monophyletic groups.
  • Incorporated phylogeny through variation partitioning and allowed for estimation of two-way phylogenetic effects.

    • Main Results:

    • The proposed method effectively identifies specific monophyletic groups associated with variation in comparative data.
    • Simulations for the univariate case demonstrated acceptable type I error rates.
    • Applications revealed previously undetected phylogenetic effects concentrated within particular groups, not necessarily across the entire tree.

    Conclusions:

    • The new method offers a powerful tool for dissecting phylogenetic influences on evolutionary traits.
    • Phylogenetic effects are often localized to specific clades rather than being uniformly distributed across a phylogeny.
    • This approach enhances the precision of evolutionary analyses in fields like ethology, ecology, and ecomorphology.