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Related Concept Videos

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...
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...
Genome Copying Errors02:46

Genome Copying Errors

DNA replication is a well-evolved process that copies millions of base pairs with high fidelity during each cell division. Occasionally a wrong base or a long stretch of wrong bases may get added to the daughter strands. If the errors are left unchecked, cells might accumulate several mutations that might endanger their  survival. Therefore, the copying errors are checked and repaired at three levels.
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

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Related Experiment Video

Updated: Jun 29, 2026

Residue-specific Incorporation of Noncanonical Amino Acids into Model Proteins Using an Escherichia coli Cell-free Transcription-translation System
11:47

Residue-specific Incorporation of Noncanonical Amino Acids into Model Proteins Using an Escherichia coli Cell-free Transcription-translation System

Published on: August 1, 2016

A neutral origin for error minimization in the genetic code.

Steven E Massey1

  • 1Department of Molecular Biology, College of Agriculture, University of Wyoming, 1000 East University Avenue, Laramie, WY 82071, USA. stevenemassey@gmail.com

Journal of Molecular Evolution
|October 16, 2008
PubMed
Summary

The genetic code

Area of Science:

  • Evolutionary biology
  • Molecular biology
  • Genetics

Background:

  • The genetic code exhibits error minimization, efficiently reducing harmful mutation effects.
  • The evolutionary drivers behind this error minimization property remain unclear.

Purpose of the Study:

  • To investigate the role of neutral evolution versus selection in the genetic code's error minimization.
  • To assess error minimization under different genetic code evolution scenarios.

Main Methods:

  • Simulated stepwise addition of amino acids to genetic codes.
  • Evaluated models including random addition and the 213 Model.
  • Assessed error minimization based on amino acid physicochemical properties and codon assignments.

Main Results:

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Last Updated: Jun 29, 2026

Residue-specific Incorporation of Noncanonical Amino Acids into Model Proteins Using an Escherichia coli Cell-free Transcription-translation System
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Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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Rare Event Detection Using Error-corrected DNA and RNA Sequencing

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  • Random, stepwise addition of similar amino acids significantly enhances error minimization.
  • The 213 Model can produce codes with error minimization comparable to the standard genetic code.
  • A significant portion of error minimization may arise neutrally through code expansion.

Conclusions:

  • Neutral processes, particularly gene duplication, likely contribute substantially to error minimization.
  • Selection may only be partially responsible for the observed error minimization in the genetic code.
  • Caution is advised against assuming selection drives all beneficial biological traits.