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

7.1K
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...
7.1K
Next-generation Sequencing03:00

Next-generation Sequencing

99.4K
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....
99.4K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

8.3K
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...
8.3K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

3.7K
3.7K
Genomics02:02

Genomics

41.1K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
41.1K
Sanger Sequencing01:57

Sanger Sequencing

775.8K
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...
775.8K

You might also read

Related Articles

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

Sort by
Same author

The Vertebrate Genomes Project Phase I: A global reference genome resource.

bioRxiv : the preprint server for biology·2026
Same author

Novel microfilariae detected in Galápagos passerines.

International journal for parasitology. Parasites and wildlife·2025
Same author

The Invasion History of New Zealand Starlings Revealed by Whole Genome Sequencing and Historical Records.

Molecular ecology·2025
Same author

Sex-dependent effects of infection on guppy reproductive fitness and offspring parasite resistance.

The Journal of animal ecology·2025
Same author

Same data, different analysts: variation in effect sizes due to analytical decisions in ecology and evolutionary biology.

BMC biology·2025
Same author

Avian circoviruses and hepadnaviruses identified in tissue samples of various waterfowl.

Virology·2025

Related Experiment Video

Updated: Feb 25, 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

11.7K

Forecasting Genomic Change with Time Series Sequence Data.

Danny Jackson, Henrey A Deese, Allyson Placko

    The American Naturalist
    |February 23, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Genomic time series studies reveal predictable parallel evolution in response to human-driven changes like climate change and domestication. These findings aid in forecasting species adaptation to anthropogenic pressures.

    Keywords:
    anthropogenicevolve-and-resequence experimentshost-parasite interactionsparallel evolutionpopulation geneticsreview

    More Related Videos

    Genomic MRI - a Public Resource for Studying Sequence Patterns within Genomic DNA
    12:36

    Genomic MRI - a Public Resource for Studying Sequence Patterns within Genomic DNA

    Published on: May 9, 2011

    10.6K
    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

    1.4K

    Related Experiment Videos

    Last Updated: Feb 25, 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

    11.7K
    Genomic MRI - a Public Resource for Studying Sequence Patterns within Genomic DNA
    12:36

    Genomic MRI - a Public Resource for Studying Sequence Patterns within Genomic DNA

    Published on: May 9, 2011

    10.6K
    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

    1.4K

    Area of Science:

    • Evolutionary biology
    • Genomics
    • Population genetics

    Background:

    • Human activities significantly influence species evolution through direct and indirect mechanisms.
    • Predicting evolutionary trajectories is crucial for understanding species adaptation to environmental changes.
    • Time series genomic studies offer direct insights into evolutionary processes over time.

    Purpose of the Study:

    • To review time series genomic studies and evaluate the predictability of parallel evolution.
    • To examine how anthropogenic drivers and host-parasite interactions shape evolutionary adaptation.
    • To analyze patterns in retrospective genomic time series data to understand drivers of evolutionary change.

    Main Methods:

    • Review of time series genomic studies.
    • Analysis of selection driving parallel adaptation.
    • Examination of evolutionary processes influenced by anthropogenic drivers.
    • Investigation of host-parasite coevolutionary dynamics.

    Main Results:

    • Time series genomic data directly quantify evolutionary changes in populations.
    • Selection is a key driver of parallel adaptation, particularly in response to anthropogenic pressures.
    • Distinct drivers of change impact population structure, gene flow, and genetic diversity.
    • Host-parasite interactions show significant patterns of coevolutionary adaptation.

    Conclusions:

    • Evolutionary adaptation, especially parallel evolution, is predictable to a degree, informed by time series genomic data.
    • Understanding past evolutionary responses to human impact is vital for future conservation and management.
    • Advancements in population genomics will enhance the analysis of time series data for evolutionary forecasting.