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

Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.7K
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...
7.7K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

3.3K
3.3K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.6K
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...
6.6K
Phylogenetic Trees03:21

Phylogenetic Trees

48.8K
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.
48.8K
Speciation Rates01:07

Speciation Rates

22.2K
Overview
22.2K
Genetics of Speciation02:16

Genetics of Speciation

20.4K
Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.
20.4K

You might also read

Related Articles

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

Sort by
Same author

The importance of nonsense errors: Estimating the rates and implications of ribosome drop-off during protein synthesis.

PLoS genetics·2026
Same author

Quantification of the coupled dynamics of marine microbes and reactive oxygen species in laboratory batch culture experiments.

Microbiology spectrum·2026
Same author

Statistical and Structural Bias in Birth-Death Models.

Bulletin of mathematical biology·2026
Same author

Longevity in plants impacts phylogenetic and population dynamics.

The New phytologist·2025
Same author

Concatenation fails to describe the anomalous radiation of giant cockroaches (Blattodea: Blaberidae) despite moderate to low discordance.

BMC ecology and evolution·2025
Same author

Longevity in plants impacts phylogenetic and population dynamics.

bioRxiv : the preprint server for biology·2025

Related Experiment Video

Updated: Nov 26, 2025

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

35.8K

A Spatially Explicit Model of Stabilizing Selection for Improving Phylogenetic Inference.

Jeremy M Beaulieu1, Brian C O'Meara2, Michael A Gilchrist2

  • 1Department of Biological Sciences, University of Arkansas, Fayetteville, AR, USA.

Molecular Biology and Evolution
|December 11, 2020
PubMed
Summary

Ultraconserved elements (UCEs) contain deep evolutionary information. A new model, SelON, better explains UCE sequence evolution by including spatially varying selection, improving phylogenetic accuracy.

Keywords:
Wright–Fishermutationstabilizing selectionultraconserved elements

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

16.2K
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

374

Related Experiment Videos

Last Updated: Nov 26, 2025

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

35.8K
Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

16.2K
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

374

Area of Science:

  • Evolutionary biology
  • Genomics
  • Phylogenetics

Background:

  • Ultraconserved elements (UCEs) are highly conserved DNA sequences critical for understanding evolutionary history.
  • Current phylogenetic methods often assume uniform evolutionary rates across UCEs, potentially overlooking complex selective pressures.

Purpose of the Study:

  • To develop and evaluate a novel model, SelON (selection on nucleotides), that explicitly incorporates spatially varying stabilizing selection within UCEs.
  • To assess the performance of SelON against traditional models using empirical vertebrate UCE data.

Main Methods:

  • Introduction of the Wright-Fisher model of selection on nucleotides (SelON).
  • SelON models mutation, drift, and position-dependent Gaussian stabilizing selection.
  • Comparison of SelON with the GTR+Γ model using 400 vertebrate UCEs for turtle phylogeny.

Main Results:

  • SelON demonstrated significantly improved model fit compared to the GTR+Γ model.
  • The analysis supported the placement of turtles as sister to lepidosaurs.
  • UCE-specific parameters from SelON quantify selection strength and variation effectively.

Conclusions:

  • The SelON model provides a more accurate representation of evolutionary processes within UCEs.
  • Explicitly modeling selection on UCEs enhances understanding of their deep conservation.
  • This approach improves phylogenetic inference and sheds light on UCE evolutionary mechanisms.