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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...
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Two structural features of the DNA molecule provide a basis for the mechanisms of heredity: the four nucleotide bases and its double-stranded nature. The Watson-Crick model of double-helical DNA structure, proposed in 1952, drew heavily upon the X-ray crystallography work of researchers Rosalind Franklin and Maurice Wilkins. Watson, Crick, and Wilkins jointly received the Nobel Prize in Physiology or Medicine for their work in 1962. Franklin was, controversially, excluded from the prize for...
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Related Experiment Video

Updated: Jun 17, 2026

Residue-specific Incorporation of Noncanonical Amino Acids into Model Proteins Using an Escherichia coli Cell-free Transcription-translation System
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Certain non-standard coding tables appear to be more robust to error than the standard genetic code.

Mehmet Levent Kurnaz1, Tugce Bilgin, Isil Aksan Kurnaz

  • 1Physics Department, Bogazici University Bebek, 34342 Istanbul, Turkey.

Journal of Molecular Evolution
|December 17, 2009
PubMed
Summary

Alternative genetic codes offer advantages in error robustness, with some like the Ciliate, Dasycladacean and Hexamita Nuclear Code (CDH) proving beneficial. The Standard Coding Table may represent a "local minimum" in the evolving "coding landscape".

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Area of Science:

  • Genetics
  • Molecular Biology
  • Evolutionary Biology

Background:

  • The Standard Coding Table universally translates genetic information into amino acids.
  • Nearly 20 alternative genetic codes are utilized by nuclear genomes and organelles.
  • The persistence and emergence of alternative genetic codes remain unexplained.

Purpose of the Study:

  • To introduce a novel method for analyzing genetic codes.
  • To investigate the advantages and disadvantages of alternative genetic codes regarding error robustness.
  • To understand the evolutionary dynamics of genetic code variation.

Main Methods:

  • Development of a new analytical method to assess genetic codes.
  • Evaluation of error robustness across various alternative genetic codes.
  • Comparative analysis of the Standard Code against alternative codes.

Main Results:

  • The Ciliate, Dasycladacean and Hexamita Nuclear Code (CDH) and Flatworm Mitochondrial Code (FMC) demonstrate error robustness advantages.
  • The Yeast Mitochondrial Code (YMC) exhibits significant disadvantages in error robustness.
  • The Standard Code might be a 'local minimum' in the coding landscape.

Conclusions:

  • Alternative genetic codes can confer specific advantages, particularly in error tolerance.
  • The Standard Code's prevalence may be due to evolutionary constraints rather than optimal design.
  • The 'coding landscape' is still subject to evolutionary exploration for potentially superior codes.