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

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 Dogma01:25

The Central Dogma

Overview
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...
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...
Leaky Scanning02:28

Leaky Scanning

During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R stands for...

You might also read

Related Articles

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

Sort by
Same author

Coding nucleic acids are chaperons for protein folding: a novel theory of protein folding.

Gene·2012
Same author

The concept of RNA-assisted protein folding: representation of amino acid kinetics at the tRNA level.

Journal of theoretical biology·2012
Same author

The concept of RNA-assisted protein folding: the role of tRNA.

Theoretical biology & medical modelling·2012
Same author

Discovery of proteomic code with mRNA assisted protein folding.

International journal of molecular sciences·2009
Same author

Correlation between nucleotide composition and folding energy of coding sequences with special attention to wobble bases.

Theoretical biology & medical modelling·2008
Same author

The Proteomic Code: a molecular recognition code for proteins.

Theoretical biology & medical modelling·2007
Same journal

The impact of natural disasters on the spread of COVID-19: a geospatial, agent-based epidemiology model.

Theoretical biology & medical modelling·2024
Same journal

Assessing countermeasures during a hepatitis A virus outbreak among men who have sex with men.

Theoretical biology & medical modelling·2021
Same journal

The effect of men who have sex with men (MSM) on the spread of sexually transmitted infections.

Theoretical biology & medical modelling·2021
Same journal

Analysis of international traveler mobility patterns in Tokyo to identify geographic foci of dengue fever risk.

Theoretical biology & medical modelling·2021
Same journal

Markov modelling of viral load adjusting for CD4 orthogonal variable and multivariate conditional autoregressive mapping of the HIV immunological outcomes among ART patients in Zimbabwe.

Theoretical biology & medical modelling·2021
Same journal

On the relationship between inhibition and receptor occupancy by nondepolarizing neuromuscular blocking drugs.

Theoretical biology & medical modelling·2021
See all related articles

Related Experiment Video

Updated: Jul 3, 2026

Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
10:41

Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers

Published on: June 24, 2019

Does codon bias have an evolutionary origin?

Jan C Biro1

  • 1Homulus Foundation, 612 S Flower St, Los Angeles, CA 90017, USA. jan.biro@att.net

Theoretical Biology & Medical Modelling
|August 1, 2008
PubMed
Summary
This summary is machine-generated.

The Genetic Code exhibits Codon Usage Bias (CUB), where synonymous codons are unequally used. This study reveals evolutionary trends and internal codon correlations, suggesting all codons are vital for genetic integrity.

More Related Videos

In Vivo Modeling of the Morbid Human Genome using Danio rerio
12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

Related Experiment Videos

Last Updated: Jul 3, 2026

Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
10:41

Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers

Published on: June 24, 2019

In Vivo Modeling of the Morbid Human Genome using Danio rerio
12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

Area of Science:

  • Genetics
  • Molecular Biology
  • Evolutionary Biology

Background:

  • The Genetic Code displays redundancy, with multiple codons encoding single amino acids.
  • Synonymous codons are not used equally, a phenomenon known as Codon Usage Bias (CUB).
  • The origins and evolutionary trajectory of CUB remain areas of active investigation.

Purpose of the Study:

  • To investigate the origin and evolution of Codon Usage Bias.
  • To analyze Codon Usage Bias across diverse species and its relationship with genomic complexity.
  • To explore the internal correlations among codons and their constituent nucleic acids.

Main Methods:

  • Analysis of Codon Usage Bias in 113 species.
  • Construction of a Pan-Genomic Codon Usage Frequency (CUF) Table.
  • Statistical correlation analysis between codon properties, amino acid frequency, and CUB.

Main Results:

  • Average CUB was 29.3% of the theoretical maximum, decreasing with evolutionary progression and genome complexity.
  • Significant correlations were observed between the number of synonymous codons, amino acid frequency, and CUB magnitude.
  • High internal correlations among codons enabled reliable prediction of missing synonymous codons.

Conclusions:

  • Codon Usage Bias is presented in a new light, challenging previous notions.
  • The interconnectedness of codons suggests they are integral components of the Genetic Code.
  • All synonymous codons likely play equally important roles in maintaining the functional integrity of the Genetic Code.