Jove
Visualize
Contact Us

Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.4K
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...
6.4K
Speciation Rates01:07

Speciation Rates

21.7K
Overview
21.7K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.5K
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...
7.5K
Gene Duplication and Divergence02:37

Gene Duplication and Divergence

6.7K
The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
6.7K
Genetics of Speciation02:16

Genetics of Speciation

19.9K
Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.
19.9K
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

222
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...
222

You might also read

Related Articles

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

Sort by
Same author

Rigorous computation of expansion in one-dimensional dynamics.

Chaos (Woodbury, N.Y.)·2025
Same author

Estimating Genome-Wide Phylogenies Using Probabilistic Topic Modeling.

Systematic biology·2025
Same author

Estimating Genome-wide Phylogenies Using Probabilistic Topic Modeling.

bioRxiv : the preprint server for biology·2024
Same author

Geodesics to characterize the phylogenetic landscape.

PloS one·2023
Same author

Genetic diversity and population structure of Leishmania (Viannia) braziliensis in the Peruvian jungle.

PLoS neglected tropical diseases·2022
Same author

Altered Plasma Mitochondrial Metabolites in Persistently Symptomatic Individuals after a GBCA-Assisted MRI.

Toxics·2022
Same journal

Direct link between convergent evolution at sequence level and phenotypic level of septal pore cap in Agaricomycotina.

G3 (Bethesda, Md.)·2026
Same journal

Experimental evolution reveals bifunctional genetic solutions to loss of trpF in Salmonella enterica.

G3 (Bethesda, Md.)·2026
Same journal

Spargel/dPGC-1 influences cell growth through the E2F1-mediated endocycle pathway.

G3 (Bethesda, Md.)·2026
Same journal

Loss of ptr-6 restores eggshell integrity and embryonic viability in C. elegans fatty acid synthase mutants.

G3 (Bethesda, Md.)·2026
Same journal

A pcyt-1 Allelic Series Reveals In Vivo Consequences of Reduced Phosphatidylcholine Synthesis in C. elegans.

G3 (Bethesda, Md.)·2026
Same journal

Copy Number Variation: A Substrate for Plant Adaptation and Stress Response in Arabidopsis.

G3 (Bethesda, Md.)·2026
See all related articles
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 Video

Updated: Oct 3, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.1K

Population divergence time estimation using individual lineage label switching.

Peter Beerli1, Haleh Ashki2, Somayeh Mashayekhi3

  • 1Department of Scientific Computing, Florida State University, Tallahassee, FL 32306, USA.

G3 (Bethesda, Md.)
|February 15, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a new Bayesian method for estimating divergence times using genetic data. The method accurately estimates population split times, especially when gene flow is minimal.

Keywords:
Bayesian inferencecoalescencedivergence timegene treespecies tree

More Related Videos

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma
15:07

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma

Published on: December 28, 2015

26.9K
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

270

Related Experiment Videos

Last Updated: Oct 3, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.1K
VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma
15:07

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma

Published on: December 28, 2015

26.9K
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

270

Area of Science:

  • Population Genetics
  • Phylogenetics
  • Computational Biology

Background:

  • Estimating divergence times from multilocus genetic data is crucial in evolutionary studies.
  • Existing methods may face challenges with complex demographic histories, such as gene flow.

Purpose of the Study:

  • To develop and evaluate a novel Bayesian inference method for estimating divergence times.
  • To assess the accuracy of this method across various demographic scenarios, including gene flow.

Main Methods:

  • A new Bayesian approach treating divergence time as a random variable, integrated into the coalescence framework.
  • Utilizing a hazard function of the truncated normal distribution for splitting events.
  • Testing with simulated population splits and reanalyzing human population genetic data (including archaic samples).

Main Results:

  • The new method demonstrates high accuracy for simple divergence models without gene flow.
  • Accuracy decreases with increasing immigration rates in isolation-with-migration models.
  • High gene flow can lead to inaccurate estimations of the most recent common ancestor time.

Conclusions:

  • The developed Bayesian method provides a robust tool for divergence time estimation.
  • Gene flow significantly impacts the accuracy of divergence time estimates, even with numerous genetic loci.
  • The lineage-switching method in Migrate is comparable to other tools and scalable for large datasets.