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

Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

60.9K
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).
60.9K
Genetic Drift03:33

Genetic Drift

42.0K
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.
42.0K
Horizontal Gene Transfer01:27

Horizontal Gene Transfer

775
Horizontal gene transfer (HGT) is a process where genetic material moves between organisms within the same generation, unlike vertical gene transfer, which occurs from parent to offspring. HGT plays a crucial role in microbial evolution, adaptation, and survival, particularly in shared environments like the human gut.Mobile genetic elements such as plasmids, prophages, integrons, insertion sequences, and transposons facilitate this process. HGT occurs through three primary mechanisms:...
775
Gene Flow02:39

Gene Flow

36.7K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
36.7K
Hybrid Zones02:29

Hybrid Zones

21.3K
Hybrid zones are narrow regions where two closely related species interact, mate, and produce hybrids. Relative to either parent species, hybrids may possess distinct phenotypic or genetic differences that impact their survival and reproductive success. The genetic variances introduced by hybridization influence species diversity and speciation processes within the hybrid zone.
21.3K
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

EMS mutation and SNP detection in intracellular <i>Wolbachia</i> genomes.

mSystems·2026
Same author

Centromeric satellite expansion drives genome evolution in the snowy owl.

Genome biology·2026
Same author

Interactive exploration of biobank-scale ancestral recombination graphs with Lorax.

Bioinformatics (Oxford, England)·2026
Same author

Genome Scanning Reveals the Genetic Basis of a Color Pattern Morphotype in an Island Population of the European Adder (Vipera berus).

Genome biology and evolution·2026
Same author

Splicing deficiency is driven by genomic erosion in non-recombining algal mating-type chromosomes.

PLoS biology·2026
Same author

Lethal plague outbreaks in Lake Baikal hunter-gatherers 5,500 years ago.

Nature·2026

Related Experiment Video

Updated: Nov 19, 2025

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

11.5K

Inferring Adaptive Introgression Using Hidden Markov Models.

Jesper Svedberg1, Vladimir Shchur2, Solomon Reinman1

  • 1Department of Biomolecular Engineering, Genomics Institute, UC Santa Cruz, Santa Cruz, CA, USA.

Molecular Biology and Evolution
|January 27, 2021
PubMed
Summary
This summary is machine-generated.

Researchers developed Ancestry_HMM-S, a new method to identify adaptive introgression and selection strength using population genomic data. This tool successfully identified 17 loci with adaptive introgression signatures in a Drosophila melanogaster population.

Keywords:
HMMadaptiveadaptive introgressionadmixtureevolutionhybridisationpesticide resistancepopulation genomicsselection

More Related Videos

Bidirectional Retroviral Integration Site PCR Methodology and Quantitative Data Analysis Workflow
12:53

Bidirectional Retroviral Integration Site PCR Methodology and Quantitative Data Analysis Workflow

Published on: June 14, 2017

11.0K
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

2.6K

Related Experiment Videos

Last Updated: Nov 19, 2025

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

11.5K
Bidirectional Retroviral Integration Site PCR Methodology and Quantitative Data Analysis Workflow
12:53

Bidirectional Retroviral Integration Site PCR Methodology and Quantitative Data Analysis Workflow

Published on: June 14, 2017

11.0K
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

2.6K

Area of Science:

  • Population Genetics
  • Evolutionary Biology
  • Genomics

Background:

  • Adaptive introgression, the transfer of adaptive genetic variation between species, is crucial for adaptation but lacks robust identification methods from population genomic data.
  • Previous studies have implicated adaptive introgression in traits like pesticide resistance, immunity, and local adaptation, highlighting the need for advanced analytical tools.
  • Admixed populations are common in nature and research, yet inferring adaptive introgression within them remains challenging.

Purpose of the Study:

  • To introduce Ancestry_HMM-S, a novel hidden Markov model-based method for detecting adaptive introgression and quantifying selection.
  • To validate the performance of Ancestry_HMM-S using simulated data under realistic population and selection parameters.
  • To apply Ancestry_HMM-S to a real-world admixed population to identify genes shaped by adaptive introgression.

Main Methods:

  • Development of Ancestry_HMM-S, a hidden Markov model (HMM) approach designed to identify genomic regions affected by adaptive introgression.
  • Extensive computational validation of the method's accuracy and performance using simulated population genomic datasets.
  • Application of Ancestry_HMM-S to analyze population genomic data from an admixed Drosophila melanogaster population in South Africa.

Main Results:

  • Ancestry_HMM-S demonstrated robust performance on moderately sized datasets with realistic population and selection parameters.
  • The analysis of the admixed Drosophila melanogaster population identified 17 loci exhibiting signatures of adaptive introgression.
  • Four of the identified loci were previously known to be associated with insecticide resistance, validating the method's biological relevance.

Conclusions:

  • Ancestry_HMM-S provides a powerful and effective tool for inferring adaptive introgression in admixed populations using standard genomic data.
  • The method facilitates deeper insights into the genetic mechanisms and evolutionary consequences of admixture across diverse species.
  • The Ancestry_HMM-S software is publicly available, promoting broader application in evolutionary and population genetics research.