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 Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.8K
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...
6.8K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

198
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
198
Phylogenetic Trees03:21

Phylogenetic Trees

49.0K
Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
49.0K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

439
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
439
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

203
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
203
Gene Flow02:39

Gene Flow

37.2K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
37.2K

You might also read

Related Articles

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

Sort by
Same author

<b>On an even keel: revision of <i>Lerista planiventralis</i> (Lucas & Frost, 1902; Squamata: Scincidae) in Western Australia, with synonymy of its subspecies</b>.

Zootaxa·2026
Same author

Clade-specific drivers of rapid vertebral evolution in squamate reptiles.

Evolution; international journal of organic evolution·2026
Same author

The Geometry of Macroevolution: Phenotypic Evolution on Non-Euclidean Manifolds.

The American naturalist·2026
Same author

Sphenomorphini unravelled: a phylogenomic framework and generic reassessments for Australia's most species-rich vertebrate radiation.

Molecular phylogenetics and evolution·2026
Same author

No Consistent Effect of Migration on Speciation Rates in Two Avian Superfamilies: A Check on the Robustness of Trait-Dependent Diversification Methods.

Systematic biology·2025
Same author

Evolutionary Lability of Sexual Selection and Its Implications for Speciation and Macroevolution.

The American naturalist·2025

Related Experiment Video

Updated: Dec 24, 2025

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
10:23

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles

Published on: July 11, 2025

438

Complex Ecological Phenotypes on Phylogenetic Trees: A Markov Process Model for Comparative Analysis of Multivariate

Michael Grundler1, Daniel L Rabosky1

  • 1Museum of Zoology and Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.

Systematic Biology
|April 17, 2020
PubMed
Summary

This study introduces a new Dirichlet-multinomial model for analyzing complex ecological trait evolution. It accurately models multidimensional traits and accounts for sampling variation in species data.

More Related Videos

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

16.4K
Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing
10:18

Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing

Published on: October 16, 2018

12.6K

Related Experiment Videos

Last Updated: Dec 24, 2025

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
10:23

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles

Published on: July 11, 2025

438
Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

16.4K
Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing
10:18

Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing

Published on: October 16, 2018

12.6K

Area of Science:

  • Macroevolutionary biology
  • Phylogenetics
  • Ecology

Background:

  • Understanding the evolution of complex ecological traits like diet and habitat is challenging due to their multidimensional nature.
  • Current models, such as continuous-time Markov chains, often oversimplify traits as univariate and assume monomorphic taxa, leading to information loss and interpretation issues.
  • Existing methods struggle to incorporate empirical species data directly, confounding state assignments with sampling variation.

Purpose of the Study:

  • To develop a novel statistical framework for modeling the evolution of multidimensional ecological traits on phylogenetic trees.
  • To address the limitations of existing models by accounting for trait complexity and uncertainty in species state assignments.
  • To provide a method that directly incorporates multivariate count data from individual species.

Main Methods:

  • Developed a Dirichlet-multinomial framework to model resource use evolution.
  • Utilized multivariate count data across discrete resource categories for individual species.
  • Simultaneously inferred the number of ecological states, resource utilization proportions, and phylogenetic distributions.

Main Results:

  • The proposed framework effectively models multidimensional ecological traits, unlike traditional univariate approaches.
  • It accurately accounts for uncertainty in species state assignments caused by sampling variation.
  • The method successfully infers ecological states, resource use patterns, and their phylogenetic history.

Conclusions:

  • The Dirichlet-multinomial model offers a robust approach for studying complex ecological niche evolution.
  • This method enhances our ability to reconstruct the tempo, mode, and sequence of trait transitions in macroevolution.
  • The framework is broadly applicable to any count-based categorical data in comparative biology.