Jove
Visualize
Contact Us

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...
Genetic Drift03:33

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.Life is not fair. A deer grazing contentedly in a field can have her meal cut tragically short by a bolt of lightning. If the doomed doe is one of only three in the population, 1/3 of the population’s gene pool is lost. Random events like this can...
Mutation, Gene Flow, and Genetic Drift01:09

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).Mechanisms of Genetic VariationThe original sources of genetic variation are mutations,...
Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.In the early 20th century,...
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
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

Temporal dynamics of color polymorphism and hybridization in Colias butterflies.

Evolution; international journal of organic evolution·2026
Same author

Chromosomal Fusions Promote Speciation in Subterranean Blind Mole Rats.

Molecular ecology·2026
Same author

Climate and species traits give rise to complex phenological dynamics.

Ecology·2026
Same author

Admixture in a butterfly species complex creates a genomic mosaic of ancestry with distinct histories for different chromosomes.

bioRxiv : the preprint server for biology·2025
Same author

Estimation of genome-wide coupling in rattlesnake hybrids provides insight into the process of speciation and its progress.

Nature communications·2025
Same author

Chromosomal Rearrangements Might Play a Central Role in Adaptation.

Molecular ecology·2025
Same journal

Isolation and Connectivity: Population Structure of an Ectomycorrhizal Truffle in the Fragmented Mountain Landscape of the Madrean Sky Island Archipelago.

Molecular ecology·2026
Same journal

Refugia, but Not for Everyone: Genetic Structure Differentiates Shallow and Mesophotic Populations of the Brooder Sponge Ircinia variabilis.

Molecular ecology·2026
Same journal

Leafcutter Ant Farmers Prevent Loss of Edible Symbiotic Structures by Maintaining Allelic Diversity in Their Multinucleate Fungal Crop.

Molecular ecology·2026
Same journal

Resolving Emergent Patterns in Community Genetics With Environmental DNA.

Molecular ecology·2026
Same journal

Genomic Offsets Predict Survival With Low Accuracy in a Marine Common Garden.

Molecular ecology·2026
Same journal

Differential Immune Responses Correlate With Chytridiomycosis Severity in Italian Crested Newts.

Molecular ecology·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: Jun 3, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

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

Published on: December 10, 2012

Bayesian estimation of genomic clines.

Zachariah Gompert1, C Alex Buerkle

  • 1Department of Botany and Program in Ecology, University of Wyoming, Laramie, WY 82071, USA. zgompert@uwyo.edu

Molecular Ecology
|April 2, 2011
PubMed
Summary
This summary is machine-generated.

A new Bayesian genomic cline model identifies genetic loci linked to reproductive isolation in hybridizing species. This tool helps understand speciation by pinpointing genes influencing divergence and introgression patterns.

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

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

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

Published on: December 7, 2021

Related Experiment Videos

Last Updated: Jun 3, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

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

Published on: December 10, 2012

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

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
08:03

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

Published on: December 7, 2021

Area of Science:

  • Evolutionary genetics
  • Speciation research
  • Genomic analysis

Background:

  • Hybrid zones offer insights into the genetic basis of reproductive isolation.
  • Understanding adaptive divergence requires methods to analyze introgression patterns at specific loci.
  • Identifying genetic regions under selection is crucial for speciation studies.

Purpose of the Study:

  • To develop and validate a Bayesian genomic cline model for quantifying locus-specific introgression.
  • To identify genetic loci potentially involved in adaptive divergence and reproductive isolation.
  • To analyze introgression patterns in simulated and empirical hybrid zone data.

Main Methods:

  • Developed a Bayesian genomic cline model with parameters for locus-specific ancestry.
  • Simulated genetic data under various selection scenarios (neutral, directional, epistatic, underdominant).
  • Applied the model to empirical data from a hybrid zone between Mus domesticus and M. musculus.

Main Results:

  • The model effectively detected selection signatures, particularly underdominance and directional selection.
  • 'Outlier' loci with extreme introgression patterns were significantly enriched for selected regions.
  • Empirical data revealed substantial genomic variation in introgression rates, with low rates on X-linked markers in the Mus hybrid zone.

Conclusions:

  • The Bayesian genomic cline model provides a robust framework for studying the genetic architecture of speciation.
  • The model facilitates quantification and comparison of introgression patterns across genomic regions and populations.
  • Findings advance the understanding of reproductive isolation genetics and the speciation process.