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...
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...
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...
Microbial Phylogeny01:28

Microbial Phylogeny

Understanding the evolutionary relationships among microorganisms is fundamental to microbial ecology and taxonomy. Phylogenetic trees are essential tools for inferring these relationships, relying primarily on comparative analyses of molecular sequences such as DNA, RNA, or proteins. In microbial studies, these trees typically depict the evolutionary paths of diverse bacterial and archaeal species by mapping genetic differences accumulated over time.Phylogenetic trees are composed of tips,...
Genomics02:02

Genomics

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...
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...

You might also read

Related Articles

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

Sort by
Same author

A method for detecting transmission-enhancing mutations in viral genomes.

Proceedings. Biological sciences·2026
Same author

Ultrasensitive Hydrogen Sensor Based on a Non-Stoichiometric Tin Oxide Heterojunction for LIB Thermal Runaway Early Monitoring.

ACS sensors·2026
Same author

DSA-DET: a tea disease detection algorithm based on dynamic spatial pyramid and polarized linear attention.

Frontiers in plant science·2026
Same author

Stabilizing Oxygen Framework in P3-Type Cathodes for Highly Reversible Sodium-Ion Batteries.

Nano letters·2026
Same author

Scaling up Bayesian population phylogenomics through virtual dimension reduction.

Nature communications·2026
Same author

Association between baseline hemoglobin levels and pathological complete response in 404 female breast cancer patients undergoing neoadjuvant therapy in Western Guangdong region: a retrospective cohort study.

Frontiers in oncology·2026
Same journal

Common Principles Underlie Mitochondrial DNA Heteroplasmy Dynamics in the Germline and Soma.

Annual review of genomics and human genetics·2026
Same journal

Human Sex Chromosome Biology in the Genomic Era.

Annual review of genomics and human genetics·2026
Same journal

Beyond TADs and Compartments: Mesoscale Chromatin Folding and Its Dynamics in Transcriptional Regulation.

Annual review of genomics and human genetics·2026
Same journal

Experimental and Computational Approaches to Identify Noncoding Pathogenic Variation in Rare Disease.

Annual review of genomics and human genetics·2026
Same journal

How Studying Rare Disease Leads to Mechanistic Insights and Therapeutic Development: Lessons from Nonmammalian Models.

Annual review of genomics and human genetics·2026
Same journal

Synthetic Regulatory Genomics.

Annual review of genomics and human genetics·2026
See all related articles

Related Experiment Video

Updated: Jul 2, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Phylogenetic inference using whole genomes.

Bruce Rannala1, Ziheng Yang

  • 1Genome Center and Department of Evolution and Ecology, University of California, Davis, California 95616, USA. bhrannala@ucdavis.edu

Annual Review of Genomics and Human Genetics
|September 5, 2008
PubMed
Summary
This summary is machine-generated.

Genome-wide data offers new ways to study evolution and population genetics. Careful statistical analysis is crucial for accurate phylogenetic and population genetic insights from large genomic datasets.

More Related Videos

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

Related Experiment Videos

Last Updated: Jul 2, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

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

Area of Science:

  • Genomics
  • Evolutionary Biology
  • Population Genetics

Background:

  • Genome-wide data presents opportunities for phylogenetic and population genetic studies.
  • Large datasets necessitate robust statistical models to avoid systematic biases and ensure accuracy.

Purpose of the Study:

  • Critically examine methods for analyzing multi-locus genomic datasets.
  • Discuss factors causing gene tree and species tree discrepancies.
  • Outline strategies for species phylogeny estimation amidst gene tree conflicts.

Main Methods:

  • Review of concatenation methods.
  • Evaluation of separate gene-by-gene analyses.
  • Examination of statistical models accommodating evolutionary heterogeneity across data partitions.

Main Results:

  • Identified potential biases in analytical methods for large genomic datasets.
  • Highlighted factors leading to gene tree-species tree discordance.
  • Presented strategies for resolving phylogenetic conflicts using genomic data.

Conclusions:

  • Genomic data analysis requires sophisticated statistical approaches.
  • Addressing heterogeneity and gene tree conflicts is key for accurate evolutionary inference.
  • Computational and statistical challenges in genomic data analysis will drive future research.