Jove
Visualize
Contact Us

Related Concept Videos

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...
From DNA to Protein03:06

From DNA to Protein

The flow of genetic information in cells from DNA to mRNA to protein is described by the central dogma, which states that genes specify the sequence of mRNAs, which in turn specify the sequence of amino acids making up all proteins. The decoding of one molecule to another is performed by specific proteins and RNAs. Because the information stored in DNA is so central to cellular function, it makes intuitive sense that the cell would make mRNA copies of this information for protein synthesis...
The Central Dogma01:20

The Central Dogma

The central dogma explains the flow of genetic information from DNA nucleotides to the amino acid sequence of proteins.
RNA is the Missing Link Between DNA and Proteins
In the early 1900s, scientists discovered that DNA stores all the information needed for cellular functions and that proteins perform most of these functions. However, the mechanisms of converting genetic information into functional proteins remained unknown for many years. Initially, it was believed that a single gene is...
The Central Dogma01:25

The Central Dogma

Overview
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.

You might also read

Related Articles

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

Sort by
Same author

Environmental and mutational modulation of collateral fitness effects informs their mechanisms.

Molecular biology and evolution·2026
Same author

Directed evolution of liver-detargeted AAV vectors for systemic gene delivery to skeletal muscle and heart.

Molecular therapy. Methods & clinical development·2025
Same author

Deep Mutational Scanning of the AAV rep Gene to Assess Effects on DNA Packaging in Expi293F Suspension Culture.

Biotechnology and bioengineering·2025
Same author

Detection of Human Y Chromosome and the <i>SRY</i> Gene in Fecal Samples of Female Patients Following Fecal Microbiota Transplantation.

Gastro hep advances·2025
Same author

Thermostability Enhancement of GH 62 α-l-Arabinofuranosidase by Directed Evolution and Rational Design.

Journal of agricultural and food chemistry·2024
Same author

Characterization and biodistribution of under-employed gene therapy vector AAV7.

Journal of virology·2023
Same journal

Correction to 'scSuperAnnotator: A platform for benchmarking comparison and visualizing automated cellular annotation methods for scRNA-seq data'.

Nucleic acids research·2026
Same journal

Correction to 'Differentiable partition function calculation for RNA'.

Nucleic acids research·2026
Same journal

Deployment of non-canonical splicing in tunicate genomes is mediated by divergent U2AF function and changing m6A modification in U1 and U6 snRNA.

Nucleic acids research·2026
Same journal

Bacillus subtilis DnaB forms multiple protein-protein interactions essential for DNA replication initiation.

Nucleic acids research·2026
Same journal

Multiple forms of protein-protein and DNA binding are exhibited by BrxC from the BREX phage restriction system.

Nucleic acids research·2026
Same journal

Biosynthesis of glycosylated 5-hydroxycytosine in the DNA of diverse viruses.

Nucleic acids research·2026
See all related articles
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 Experiment Video

Updated: May 10, 2026

A Facile Protocol to Generate Site-Specifically Acetylated Proteins in Escherichia Coli
11:08

A Facile Protocol to Generate Site-Specifically Acetylated Proteins in Escherichia Coli

Published on: December 9, 2017

The genetic code constrains yet facilitates Darwinian evolution.

Elad Firnberg1, Marc Ostermeier

  • 1Department of Chemical and Biomolecular Engineering, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD 21218, USA.

Nucleic Acids Research
|June 12, 2013
PubMed
Summary
This summary is machine-generated.

The genetic code

More Related Videos

Quantitative Comparison of cis-Regulatory Element (CRE) Activities in Transgenic Drosophila melanogaster
08:19

Quantitative Comparison of cis-Regulatory Element (CRE) Activities in Transgenic Drosophila melanogaster

Published on: December 19, 2011

Related Experiment Videos

Last Updated: May 10, 2026

A Facile Protocol to Generate Site-Specifically Acetylated Proteins in Escherichia Coli
11:08

A Facile Protocol to Generate Site-Specifically Acetylated Proteins in Escherichia Coli

Published on: December 9, 2017

Quantitative Comparison of cis-Regulatory Element (CRE) Activities in Transgenic Drosophila melanogaster
08:19

Quantitative Comparison of cis-Regulatory Element (CRE) Activities in Transgenic Drosophila melanogaster

Published on: December 19, 2011

Area of Science:

  • Evolutionary biology
  • Genetics
  • Molecular biology

Background:

  • Understanding evolutionary constraints is key to deciphering evolutionary dynamics.
  • The structure of the standard genetic code may influence evolutionary trajectories.
  • Previous research has not fully explored the impact of the genetic code's architecture on adaptive evolution.

Purpose of the Study:

  • To investigate how the standard genetic code's structure constrains evolutionary adaptation.
  • To analyze the role of codon substitutions in protein evolution.
  • To determine if the genetic code facilitates or hinders adaptive mutations.

Main Methods:

  • Analysis of adaptive mutations in the TEM-1 beta-lactamase antibiotic resistance gene.
  • Examination of fitness distribution for codon substitutions in influenza hemagglutinin inhibitor genes.
  • Computational and experimental approaches to assess evolutionary constraints.

Main Results:

  • The genetic code's architecture significantly constrains the exploration of sequence space during evolution.
  • These constraints limit access to deleterious amino acid mutations.
  • The genetic code preferentially enriches for adaptive mutations, facilitating protein evolution.

Conclusions:

  • The standard genetic code is not arbitrary but shaped by selective pressures.
  • The code's structure minimizes harmful mutations while promoting beneficial ones.
  • This suggests an evolutionary advantage in the genetic code's design for protein adaptation.