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...

Speciation Rates

Speciation Rates

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?

Synteny and Evolution

Synteny and Evolution

John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral...

Convergent Evolution

Convergent Evolution

Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.

You might also read

Related Articles

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

Sort by

Same author

Clinically relevant genomic and phenotypic differences in virulence, antimicrobial resistance, and biofilm-associated tolerance between Streptococcus suis lineages ST1 and ST123.

Veterinary research·2026

Same author

Trends in substitution models of protein evolution for phylogenetic inference.

Molecular phylogenetics and evolution·2025

Same author

Empirical substitution models of protein evolution: database, relationships, and modeling considerations.

Database : the journal of biological databases and curation·2025

Same author

Forecasting protein evolution by integrating birth-death population models with structurally constrained substitution models.

eLife·2025

Same author

Heterogeneous Evolution Among SARS-CoV-2 Genes and Variants of Concern.

Journal of medical virology·2025

Same author

Molecular Evolution and Phylogeography of the Crimean-Congo Hemorrhagic Fever Virus.

Viruses·2025

Same journal

RNA Modifications as Drug Targets: Unlocking the Therapeutic Potential of the Epitranscriptome.

Current genomics·2026

Same journal

AgriBioNER: A Named Entity Recognition Tool for Identification of ncRNA and Diseases in Agricultural Literature.

Current genomics·2026

Same journal

Understanding the Evolutionary Adaptations and the Associated Functional Dynamics of Diatom <i>Cyclotella Cryptica</i>: A Chloroplast Genome-wide Comparative Study.

Current genomics·2026

Same journal

The Role of Collagen Genetic Variability in Degenerative Disc Disease and Related Conditions.

Current genomics·2026

Same journal

Genomics-Driven Immunotherapy: Advancing Cancer Treatment through Personalized Approaches.

Current genomics·2026

Same journal

Innovative Applications and Challenges of Isothermal Amplification Technology in miRNA Detection.

Current genomics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 25, 2026

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Published on: January 26, 2024

Spatial and temporal simulation of human evolution. Methods, frameworks and applications.

Macarena Benguigui¹, Miguel Arenas¹

¹Centre for Molecular Biology "Severo Ochoa", Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain.

Current Genomics

|August 19, 2014

Summary

This summary is machine-generated.

Computer simulations using realistic models are crucial for understanding human evolution and diversity. This review covers methods for spatially explicit simulations, aiding in evaluating evolutionary scenarios and parameters.

Keywords:

Demographic models Human evolution Human landscape genetics Molecular evolution Range expansion Spatially explicit simulation.

More Related Videos

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Related Experiment Videos

Last Updated: Apr 25, 2026

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Published on: January 26, 2024

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Area of Science:

Evolutionary biology
Population genetics
Computational anthropology

Background:

Understanding human evolution and diversity relies on genetic and archaeological data.
Existing data often proves insufficient for evaluating diverse evolutionary scenarios, leading to ongoing debates.
Computer simulations offer a powerful tool to test hypotheses and estimate evolutionary parameters.

Purpose of the Study:

To review methods and frameworks for realistic, spatially explicit computer simulations of human evolution.
To highlight the utility of these simulations in evaluating various evolutionary scenarios.
To discuss the applicability of these methods to other species.

Main Methods:

Review of existing computational methods and evolutionary frameworks.
Focus on spatially explicit simulation models.
Discussion of phenomena modeled, including range shifts, dispersal biases, and admixtures.

Main Results:

Identification of key methods and software for spatially explicit simulations.
Demonstration of how simulations can test evolutionary hypotheses and parameter influence.
Emphasis on the importance of spatial explicit models for realistic human evolution scenarios.

Conclusions:

Spatially explicit computer simulations are essential for advancing the study of human evolution.
These models improve the evaluation of complex demographic processes like dispersal and admixture.
Future implementations promise enhanced applications in understanding human evolutionary history.