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

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...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
Sanger Sequencing01:57

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
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

Integrative systematics reveal the deep evolutionary origin and familial placements of the wirrahs (Teleostei: Acanthistiidae: Acanthistius) and the toadstool grouper (Teleostei: Trachypomatidae fam. nov.: Trachypoma).

Molecular phylogenetics and evolution·2026
Same author

Rapid Derivation of Cloning-Competent Cells from Peripheral Blood Advances Conservation Biobanking.

The Journal of heredity·2026
Same author

Derivation of elephant induced pluripotent stem cells.

Nature methods·2026
Same author

Uncovering thousands of endosymbiont DNA transfer events within single cockroach genomes.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Genetic Diversity and Population Structure of the Black-Footed Cat: Insights into <i>Felis</i>'s Deadliest Predator.

bioRxiv : the preprint server for biology·2026
Same author

Mutation rate estimate and population genomic analysis reveals decline of koalas prior to human arrival.

Molecular biology and evolution·2026
Same journal

A Practical Framework for GT-Seq Panel Optimization.

Molecular ecology resources·2026
Same journal

Comparison of Environmental DNA and Bulk DNA Metabarcoding for Assessing Terrestrial Arthropod Diversity Across Three Habitat Types on Guam.

Molecular ecology resources·2026
Same journal

pr2-Wormifier: A Bioinformatics Pipeline to Create Custom Reference Databases for Improved Metabarcoding of Marine Protists.

Molecular ecology resources·2026
Same journal

Individual Identification of Prey in Carnivore Scats.

Molecular ecology resources·2026
Same journal

Wild Pedigree exploreR (wpeR): Streamlined Analysis and Visualization of Wild Pedigrees in Time and Space.

Molecular ecology resources·2026
Same journal

Integrating Megabarcoding and Metabarcoding to Unlock Diversity and Distribution Data Shortfalls in Dark Taxa.

Molecular ecology resources·2026
See all related articles

Related Experiment Video

Updated: Jun 2, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Skyline-plot methods for estimating demographic history from nucleotide sequences.

Simon Y W Ho1, Beth Shapiro

  • 1Centre for Macroevolution and Macroecology, Research School of Biology, Australian National University, ACT 0200, Australia. simon.ho@sydney.edu.au

Molecular Ecology Resources
|April 13, 2011
PubMed
Summary
This summary is machine-generated.

This review details skyline-plot methods for estimating population history from DNA sequences. These advanced techniques reconstruct past population size changes, offering insights into ecological and environmental influences.

More Related Videos

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3
11:10

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3

Published on: December 27, 2010

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

Related Experiment Videos

Last Updated: Jun 2, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3
11:10

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3

Published on: December 27, 2010

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

Area of Science:

  • Molecular Ecology
  • Population Genetics
  • Evolutionary Biology

Background:

  • Estimating demographic history from nucleotide sequences is crucial for understanding population dynamics.
  • Traditional methods relied on simple population models, limiting historical reconstruction.
  • Advances in coalescent theory enable more flexible approaches like skyline-plot methods.

Purpose of the Study:

  • To provide a technical review of skyline-plot methods for demographic history estimation.
  • To describe the principles of sampling and data collection for these analyses.
  • To outline the methodological framework and trace the development of skyline-plot techniques.

Main Methods:

  • Focuses on skyline-plot methods based on coalescent theory.
  • Describes general principles of sampling design and data collection.
  • Illustrates method performance and properties using simulated data sets.

Main Results:

  • Highlights the evolution and key features of various skyline-plot methods.
  • Demonstrates the application and effectiveness of these methods through simulations.
  • Provides a framework for reconstructing historical population size changes.

Conclusions:

  • Skyline-plot methods offer a powerful and flexible approach to inferring demographic history.
  • These methods are essential for testing hypotheses related to ecological and anthropogenic impacts.
  • The review serves as a guide to understanding and applying advanced population genetics tools.