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 Experiment Videos

[Origin and evolution of the genetic code].

J M Labouygues, A Figureau

    Revue Canadienne De Biologie Experimentale
    |November 1, 1982
    PubMed
    Summary
    This summary is machine-generated.

    The genetic code evolved to resist mutations by increasing translated codons and decreasing terminators. This optimization process favored codes with better resistance to errors, leading to the current robust genetic system.

    Related Concept Videos

    You might also read

    Related Articles

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

    Sort by
    Same author

    A pentapeptide-based method for protein secondary structure prediction.

    Protein engineering·2003
    Same author

    Fast DNA sequencing.

    Medical hypotheses·2000
    Same author

    Biocryptography.

    Medical hypotheses·2000
    Same author

    Secondary structure of proteins and three-dimensional pattern recognition.

    Journal of theoretical biology·1999
    Same author

    Can biological homochirality result from a phase transition?

    Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life·1995
    Same author

    Optimization and the genetic code.

    Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life·1989
    Same journal

    [Abstracts of papers presented at the First Biotechnology Colloquium at the University of Montreal, 25-26 March 1983].

    Revue canadienne de biologie experimentale·1983
    Same journal

    [Biology yesterday, today and tomorrow].

    Revue canadienne de biologie experimentale·1983
    Same journal

    Differentiation of bones and skeletal muscles in chick embryos cultured on albumen.

    Revue canadienne de biologie experimentale·1983
    Same journal

    Depopulation of lymphocyte migration sites in the lymph node by irradiation and colloidal carbon.

    Revue canadienne de biologie experimentale·1983
    Same journal

    Mechanism of action of the sodium pump in vertebrate photoreceptors.

    Revue canadienne de biologie experimentale·1983
    Same journal

    [Selectivity of female mosquitoes (Culicidae) for their sites of oviposition: state of the question].

    Revue canadienne de biologie experimentale·1983
    See all related articles

    Area of Science:

    • Biochemistry
    • Evolutionary Biology
    • Genetics

    Context:

    • The origin and evolution of the genetic code are fundamental questions in molecular biology.
    • Understanding the selective pressures that shaped the genetic code is crucial for deciphering its current structure.

    Purpose:

    • To propose a quantitative model for the evolution of the genetic code.
    • To investigate the role of mutation resistance in shaping the genetic code's structure.

    Summary:

    • A quantitative model suggests the genetic code evolved under mutation pressure, optimizing its own error resistance.
    • Evolution involved increasing translated codons and decreasing terminators, favoring codes resilient to nonsense mutations.
    • Selected code structures converged to the present genetic code, indicating its design for error tolerance.

    Related Experiment Videos

    Impact:

    • Provides a framework for understanding the genetic code's robustness against errors and mutations.
    • Highlights the role of natural selection in optimizing genetic information systems.
    • Offers insights into the historical contingency and adaptive landscape of early genetic systems.