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

Overview of Transposition and Recombination

Overview of Transposition and Recombination

Transposons make up a significant part of genomes of various organisms. Therefore, it is believed that transposition played a major evolutionary role in speciation by changing genome sizes and modifying gene expression patterns. For example, in bacteria, transposition can lead to conferring antibiotic resistance. Movement of transposable elements within the genetic pool of pathogenic bacteria can aid in transfer of antibiotic-resistant genetic elements. In eukaryotes, transposons can carry out...

Conservative Site-specific Recombination and Phase Variation

Conservative Site-specific Recombination and Phase Variation

Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...

Crossing Over

Crossing Over

Crossing over is the exchange of genetic information between homologous chromosomes during prophase I of meiosis I. Genetic recombination gives rise to allelic diversity in the newly formed daughter cells. In humans, crossing over produces genetically distinct haploid egg and sperm cells that undergo fertilization to produce unique offspring. Before cell division starts, the germ cell’s chromosome(s) undergo duplication in the S phase of the cell cycle. As the cells enter prophase I,...

Homologous Recombination

Homologous Recombination

The basic reaction of homologous recombination (HR) involves two chromatids that contain DNA sequences sharing a significant stretch of identity. One of these sequences uses a strand from another as a template to synthesize DNA in an enzyme-catalyzed reaction. The final product is a novel amalgamation of the two substrates. To ensure an accurate recombination of sequences, HR is restricted to the S and G2 phases of the cell cycle. At these stages, the DNA has been replicated already and the...

You might also read

Related Articles

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

Sort by

Same author

Replaying germinal center evolution on a quantified affinity landscape.

Cell·2026

Same author

MKado: a toolkit for McDonald-Kreitman tests of natural selection.

G3 (Bethesda, Md.)·2026

Same author

Ecotypes, <i>Wolbachia</i>, and urbanization shape <i>Culex pipiens</i> population structure in a West Nile virus hotspot.

bioRxiv : the preprint server for biology·2026

Same author

Diversity and divergence of two sympatric, sibling octopus species.

bioRxiv : the preprint server for biology·2026

Same author

A non-invasive method to genotype cephalopod sex by quantitative PCR.

iScience·2026

Same author

Inference of germinal center evolutionary dynamics via simulation-based deep learning.

eLife·2026

Same journal

Phylogenomic blind spots: The limits of UCE and BUSCO loci in the presence of gene flow.

Molecular biology and evolution·2026

Same journal

seqLens: optimizing language models for genomic predictions.

Molecular biology and evolution·2026

Same journal

The transcriptional and translational outcomes for pseudogenes in bacterial endosymbionts.

Molecular biology and evolution·2026

Same journal

800 million years of co-evolution in the green plant lineage - the case of LEUNIG and SEUSS transcriptional co-regulators.

Molecular biology and evolution·2026

Same journal

RNA i-motif landscapes in plant kingdom and their potential functional roles.

Molecular biology and evolution·2026

Same journal

Functional Divergence and Structural Changes of class IV Histone Deacetylases (HDACs) Across the Tree of Life.

Molecular biology and evolution·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Dec 28, 2025

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

Predicting the Landscape of Recombination Using Deep Learning.

Jeffrey R Adrion¹, Jared G Galloway¹, Andrew D Kern¹

¹Institute of Ecology and Evolution, University of Oregon, Eugene, OR.

Molecular Biology and Evolution

|February 21, 2020

Summary

This summary is machine-generated.

A new deep learning method, ReLERNN, accurately maps genome-wide recombination rates using genotype data. This approach improves accuracy and reduces bias, even with limited genomic data or complex population structures.

Keywords:

deep learning machine learning population genomics recombination

More Related Videos

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

Related Experiment Videos

Last Updated: Dec 28, 2025

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

Area of Science:

Genomics
Population Genetics
Bioinformatics

Background:

Accurate genome-wide recombination rate estimation is crucial for genetic mapping and understanding evolutionary history.
Existing methods face challenges with limited data and demographic complexities.

Purpose of the Study:

To introduce ReLERNN, a deep learning method for accurate genome-wide recombination landscape estimation.
To evaluate ReLERNN's performance against existing methods and its robustness to various data limitations.

Main Methods:

ReLERNN utilizes recurrent neural networks (RNNs) to model genotype alignments as genomic sequences.
It directly processes genotype data, bypassing traditional linkage disequilibrium summaries.

Main Results:

ReLERNN demonstrates improved accuracy and reduced bias compared to current methods.
The method maintains high accuracy despite demographic model misspecification, missing genotypes, and genome inaccessibility.
Application to Drosophila melanogaster revealed population-specific recombination landscape differences.

Conclusions:

ReLERNN provides a robust and accurate tool for inferring genome-wide recombination maps.
The study highlights population-specific recombination patterns and their connection to genetic inversions in Drosophila.