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

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?

Genetics of Speciation

Genetics of Speciation

Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.

Genetic Screens

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...

Background and Environment Affect Phenotype

Background and Environment Affect Phenotype

Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...

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...

You might also read

Related Articles

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

Sort by

Same author

Synchronized UAV multi-angle inversion of canopy structure parameters in wheat breeding materials.

Plant phenomics (Washington, D.C.)·2026

Same author

Acute thermal stress alters sperm swimming activity, viability, and gene expression in blue catfish, Ictalurus furcatus.

Theriogenology·2026

Same author

Machine Learning-Enabled Intelligent Technologies Across the Grape and Wine Value Chain: From Vineyard Sensing to Winemaking Optimization.

Comprehensive reviews in food science and food safety·2026

Same author

The Cell Ontology in the age of single-cell omics.

Scientific data·2026

Same author

Modeling gene regulatory perturbations via deep learning from high-throughput reporter assays.

bioRxiv : the preprint server for biology·2026

Same author

Arylsulfatase I is a novel lysosomal chondroitin endosulfatase regulating endochondral ossification.

Matrix biology : journal of the International Society for Matrix Biology·2026

Same journal

Phylogenomic blind spots: The limits of UCE and BUSCO loci in the presence of gene flow.

Molecular biology and evolution·2026

Same journal

seqLens: optimizing language models for genomic predictions.

Molecular biology and evolution·2026

Same journal

The transcriptional and translational outcomes for pseudogenes in bacterial endosymbionts.

Molecular biology and evolution·2026

Same journal

800 million years of co-evolution in the green plant lineage - the case of LEUNIG and SEUSS transcriptional co-regulators.

Molecular biology and evolution·2026

Same journal

RNA i-motif landscapes in plant kingdom and their potential functional roles.

Molecular biology and evolution·2026

Same journal

Functional Divergence and Structural Changes of class IV Histone Deacetylases (HDACs) Across the Tree of Life.

Molecular biology and evolution·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 31, 2026

Quantifying Abdominal Pigmentation in Drosophila melanogaster

Quantifying Abdominal Pigmentation in Drosophila melanogaster

Published on: June 1, 2017

Phenoscape: Identifying Candidate Genes for Evolutionary Phenotypes.

Richard C Edmunds¹, Baofeng Su², James P Balhoff³

¹Institute of Neuroscience, University of Oregon.

Molecular Biology and Evolution

|October 27, 2015

Summary

This summary is machine-generated.

Genetic model organisms aid in identifying genes for evolutionary changes. This study used zebrafish phenotypes to find catfish genes, revealing insights into the evolution of basihyal and scale loss.

Keywords:

catfish evolutionary phenotypes gene expression molecular evolution nonmodel organism

More Related Videos

In Vivo Modeling of the Morbid Human Genome using Danio rerio

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

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

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

Published on: June 21, 2018

Related Experiment Videos

Last Updated: Mar 31, 2026

Quantifying Abdominal Pigmentation in Drosophila melanogaster

Quantifying Abdominal Pigmentation in Drosophila melanogaster

Published on: June 1, 2017

In Vivo Modeling of the Morbid Human Genome using Danio rerio

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

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

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

Published on: June 21, 2018

Area of Science:

Evolutionary biology
Developmental genetics
Comparative genomics

Background:

Mutant phenotypes in model organisms can identify candidate genes for evolutionary changes.
Testing candidate genes in nonmodel organisms is challenging.
Ontology-driven systems can bridge this gap by generating testable hypotheses.

Purpose of the Study:

To test candidate gene hypotheses for evolutionary phenotypes in ostariophysan fishes using zebrafish mutant data.
To investigate the genetic basis of ancestral basihyal element and scale loss in catfishes.

Main Methods:

Utilized the Phenoscape Knowledgebase to identify candidate genes based on zebrafish phenotypes.
Searched ZFIN for genetic perturbations related to basihyal element or scale loss.
Examined endogenous expression patterns of candidate genes in channel catfish (Ictalurus punctatus).

Main Results:

Experimental results supported hypotheses implicating brpf1 in basihyal element loss.
Results also supported hypotheses implicating eda/edar in scale loss.
Demonstrated that ontological annotations can generate testable hypotheses for evolutionary morphology.

Conclusions:

Ontological annotations of model organism phenotypes are valuable for generating hypotheses in nonmodel organisms.
This approach can elucidate the genetic underpinnings of evolutionary morphological changes.
Identified specific genes (brpf1, eda/edar) involved in catfish evolutionary losses.