Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Evolutionary Relationships through Genome Comparisons

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...

Gene Flow

Gene Flow

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

Mutation, Gene Flow, and Genetic Drift

Mutation, Gene Flow, and Genetic Drift

In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).

Gene Evolution - Fast or Slow?

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?

Gene Evolution - Fast or Slow?

Genetic Drift

Genetic Drift

Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.

You might also read

Related Articles

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

Sort by

Same author

The potential protective mechanisms of melatonin on alcoholic fatty liver disease based on the animal study.

Frontiers in veterinary science·2026

Same author

Assembly and comparative analysis of the complete mitochondrial genome of hexaploid oat (Avena sativa).

BMC plant biology·2026

Same author

Enhanced formaldehyde clearance ameliorates differentiation-induced genotoxicity in Fanconi anemia mutant cells.

Cell reports·2026

Same author

A Multi-center Gadolinium-ethoxybenzyl-diethylenetriamine Pentaacetic Acid (Gd-EOB-DTPA) MRI Dataset with Expert Annotations and clinicopathological data.

Scientific data·2026

Same author

Admission and 24-hour heart rates and in-hospital outcomes in STEMI undergoing primary PCI.

BMC cardiovascular disorders·2026

Same author

Response of water and salt accumulation in vadose zone to groundwater level changes in coastal saline soils using HYDRUS-1D model.

PloS one·2026

Search research articles

Related Experiment Video

Updated: Mar 16, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Bayesian test of gene flow between sister lineages using genomic data.

Ziheng Yang¹, Xiyun Jiao², Sirui Cheng^1,3,4

¹Department of Genetics, Evolution, and Environment, University College London, Gower Street, London WC1E 6BT, UK.

Systematic Biology

|March 14, 2026

Summary

Detecting gene flow between sister species is challenging but crucial for understanding speciation. This study develops a Bayesian method using genomic data to reliably infer gene flow, even between closely related lineages.

Keywords:

bpp Bayes factor Savage-Dickey density ratio introgression multispecies coalescent

More Related Videos

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

Related Experiment Videos

Last Updated: Mar 16, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

Area of Science:

Genomics
Evolutionary Biology
Bioinformatics

Background:

Interspecific gene flow is vital for reconstructing species phylogenies and understanding speciation.
Detecting gene flow between sister lineages is difficult for heuristic methods.
Likelihood-based methods can detect introgression between sisters but present statistical challenges.

Purpose of the Study:

To develop a robust Bayesian method for inferring gene flow between sister lineages.
To address nonstandard statistical features in introgression tests.
To provide a reliable method for assessing evidence of gene flow between closely related species.

Main Methods:

Developed a theory for applying the Savage-Dickey (S-D) density ratio under nonstandard conditions.
Utilized a Bayesian framework to test for introgression between sister lineages.
Applied the method to a genomic dataset from Sceloporus lizards.

Main Results:

The Bayesian test demonstrates low false-positive rates and high statistical power for detecting gene flow between sister lineages.
Species split time significantly impacts data information content, with deeper divergence providing more information.
The study provides a framework for estimating gene flow rates, especially at extreme values.

Conclusions:

The developed Bayesian test offers a reliable approach for assessing gene flow between sister lineages.
Genomic data, particularly from deeper divergences, is informative for inferring interspecific gene flow.
This method enhances our understanding of speciation processes by accurately detecting introgression between closely related species.