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

5.6K
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...
5.6K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.0K
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...
7.0K
What is Population Genetics?01:25

What is Population Genetics?

57.0K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
57.0K

You might also read

Related Articles

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

Sort by
Same author

Genomic insights into the recent evolution of ecotypes: delineating at-risk caribou populations with high gene flow.

BMC genomics·2026
Same author

Embracing the power of genomics to inform evolutionary significant units.

The Journal of heredity·2026
Same author

Accurate Runs of Homozygosity Estimation From Low Coverage Genome Sequences in Non-Model Species.

Molecular ecology resources·2025
Same author

Exploring winter diet, gut microbiota and parasitism in caribou using multi-marker metabarcoding of fecal DNA.

Scientific reports·2024
Same author

MhGeneS: An Analytical Pipeline to Allow for Robust Microhaplotype Genotyping.

Molecular ecology resources·2024
Same author

Assessing the suitability of a one-time sampling event for close-kin mark-recapture: A caribou case study.

Ecology and evolution·2024

Related Experiment Video

Updated: May 13, 2025

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

2.0K

Protocol for genetic load analysis in caribou using a modified genomic evolutionary rate profiling.

Rebecca S Taylor1, Micheline Manseau1, Peng Liu1

  • 1Landscape Science and Technology, Environment and Climate Change Canada, Colonel By Drive, Ottawa, ON K1S 5B6, Canada.

STAR Protocols
|May 11, 2025
PubMed
Summary

This study introduces a new protocol to measure genetic load in caribou (Rangifer tarandus). The method uses a modified genomic evolutionary rate profiling (GERP) approach for enhanced genetic analysis.

Keywords:
Evolutionary biologySequence analysisSequencing

More Related Videos

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.1K
An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

22.8K

Related Experiment Videos

Last Updated: May 13, 2025

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

2.0K
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.1K
An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

22.8K

Area of Science:

  • Genomics
  • Evolutionary Biology
  • Conservation Genetics

Background:

  • Understanding genetic load is crucial for assessing the health and adaptability of wild populations.
  • Caribou (Rangifer tarandus) populations face various environmental pressures, making genetic health assessments important.
  • Existing methods for genetic load analysis can be complex and time-consuming.

Purpose of the Study:

  • To present a refined protocol for analyzing genetic load in caribou.
  • To adapt the genomic evolutionary rate profiling (GERP) program for this specific application.
  • To provide a streamlined method for extracting and analyzing genetic data relevant to evolutionary conservation.

Main Methods:

  • Utilized a modified genomic evolutionary rate profiling (GERP) program.
  • Developed automated procedures for multi-species alignment and generation of evolutionary conservation scores.
  • Implemented a streamlined process for extracting derived alleles from variant calling format (VCF) files using three outgroup species.

Main Results:

  • The protocol enables the measurement of genetic load by identifying conserved sites and derived alleles.
  • The method facilitates efficient data processing for large genomic datasets.
  • The described protocol provides a reproducible framework for genetic load analysis in caribou.

Conclusions:

  • The presented protocol offers a robust and efficient method for assessing genetic load in caribou populations.
  • This approach can aid in conservation efforts by providing insights into population genetic health.
  • The modified GERP protocol is a valuable tool for evolutionary and conservation genetics research.