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

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...
Methods of Classification and Identification01:28

Methods of Classification and Identification

Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
Microbial Phylogeny01:28

Microbial Phylogeny

Understanding the evolutionary relationships among microorganisms is fundamental to microbial ecology and taxonomy. Phylogenetic trees are essential tools for inferring these relationships, relying primarily on comparative analyses of molecular sequences such as DNA, RNA, or proteins. In microbial studies, these trees typically depict the evolutionary paths of diverse bacterial and archaeal species by mapping genetic differences accumulated over time.Phylogenetic trees are composed of tips,...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
Phylogenetic Trees03:21

Phylogenetic Trees

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.
Phylogenetic Trees03:21

Phylogenetic Trees

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.

You might also read

Related Articles

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

Sort by
Same authorSame journal

Phylogenetic Network Models as Graphical Models.

Bulletin of mathematical biology·2026
Same author

Correction: "Distinguishing Phylogenetic Level-2 Networks with Quartets and Inter-Taxon Quartet Distances".

Bulletin of mathematical biology·2026
Same author

Distinguishing Phylogenetic Level-2 Networks with Quartets and Inter-Taxon Quartet Distances.

Bulletin of mathematical biology·2025
Same author

Beyond Level-1: Identifiability of a Class of Galled Tree-Child Networks.

Bulletin of mathematical biology·2025
Same author

NANUQ<sup>+</sup>: A divide-and-conquer approach to network estimation.

Algorithms for molecular biology : AMB·2025
Same author

TINNiK: inference of the tree of blobs of a species network under the coalescent model.

Algorithms for molecular biology : AMB·2024

Related Experiment Video

Updated: May 31, 2026

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

Identifiability of large phylogenetic mixture models.

John A Rhodes1, Seth Sullivant

  • 1Department of Mathematics and Statistics, University of Alaska, Fairbanks, AK 99775, USA. j.rhodes@alaska.edu

Bulletin of Mathematical Biology
|July 1, 2011
PubMed
Summary

Phylogenetic mixture models analyze evolutionary heterogeneity. This study proves model parameters are identifiable, supporting their use in DNA and protein sequence analysis.

Area of Science:

  • Evolutionary biology
  • Computational biology
  • Statistical modeling

Background:

  • Phylogenetic mixture models account for evolutionary heterogeneity across characters.
  • These models are crucial for analyzing diverse evolutionary processes in DNA and protein sequences.
  • Parameter identifiability is essential for reliable statistical inference but challenging to establish.

Purpose of the Study:

  • To address the fundamental question of parameter identifiability in phylogenetic mixture models.
  • To provide theoretical justification for the application of these models in empirical studies.
  • To extend identifiability results to more complex model scenarios.

Main Methods:

  • Analysis of mixture models on large phylogenetic trees with multiple components.

More Related Videos

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Related Experiment Videos

Last Updated: May 31, 2026

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

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

  • Utilizing algebraic techniques to investigate parameter identifiability.
  • Extending analysis to mixtures evolving on different trees.

    • Main Results:

    • Demonstrated that both numerical and tree parameters are identifiable in mixture models with identical trees.
    • Showed theoretical well-behavedness for extensions to more mixture components.
    • Extended identifiability results to specific cases of mixtures on different trees.

    Conclusions:

    • Confirms the identifiability of parameters in phylogenetic mixture models under specific conditions.
    • Provides a strong theoretical foundation for the use of these models in evolutionary data analysis.
    • Suggests future research can confidently explore more complex mixture models.