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...
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,...
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.
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...

You might also read

Related Articles

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

Sort by
Same author

SNaQ.jl: Improved scalability for level-1 phylogenetic network inference.

Bioinformatics (Oxford, England)·2026
Same author

Evolutionary and environmental drivers of dry-season deciduousness in a legume genus.

The New phytologist·2026
Same author

Ecological constraints and evolutionary trade-offs shape nitrogen fixation across habitats.

ISME communications·2026
Same author

Low accuracy of complex admixture graph inference from f-statistics.

Genetics·2025
Same author

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

Bulletin of mathematical biology·2025
Same author

A Dissimilarity Measure for Semidirected Networks.

IEEE transactions on computational biology and bioinformatics·2025

Related Experiment Video

Updated: May 16, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Locating evolutionary precursors on a phylogenetic tree.

Brigitte Marazzi1, Cécile Ané, Marcelo F Simon

  • 1Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 8572, USA.

Evolution; International Journal of Organic Evolution
|December 5, 2012
PubMed
Summary
This summary is machine-generated.

Researchers developed a new model to locate hidden genetic precursors for traits like extrafloral nectaries (EFNs). This evolutionary model helps understand trait origins and guides future molecular studies.

More Related Videos

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

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

Related Experiment Videos

Last Updated: May 16, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

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

Area of Science:

  • Evolutionary biology
  • Developmental genetics

Background:

  • Major evolutionary innovations often have preceding genetic and developmental precursors.
  • Similar traits can arise independently (parallelisms) or convergently over long evolutionary periods (deep homologies).
  • Existing trait evolution models do not allow for the inference of precursor locations.

Purpose of the Study:

  • To develop a novel stochastic model for inferring the phylogenetic location of trait precursors.
  • To apply this model to understand the evolution of extrafloral nectaries (EFNs) in plants.

Main Methods:

  • Development of a new stochastic model explicitly capturing precursor-trait dependency.
  • Application of the model to analyze the evolutionary history of EFNs in the legume family.

Main Results:

  • The precursor model significantly outperforms conventional models in explaining EFN occurrences in legumes.
  • The model provides testable hypotheses regarding the phylogenetic placement of EFN precursors.

Conclusions:

  • The new model successfully infers the location of evolutionary precursors, offering insights into trait origins.
  • This approach can guide future research into the molecular genetics of trait development, using EFNs as a case study.