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

Evolving new genetic codes.

Jamie M Bacher1, Randall A Hughes, J Tze-Fei Wong

  • 1Institute of Cellular and Molecular Biology, University of Texas at Austin, 1 University Station A4800, Austin, TX 78712, USA.

Trends in Ecology & Evolution
|May 17, 2006
PubMed
Summary
This summary is machine-generated.

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

Agnostic material classification using differential de Bruijn graphs of DNA imprints.

bioRxiv : the preprint server for biology·2026
Same author

The Origin of Life in the Light of Evolution.

ArXiv·2026
Same author

Overestimating zero-shot fitness prediction: Broad benchmarks mask local failures and practical limitations.

bioRxiv : the preprint server for biology·2026
Same author

Integrating Transcription Factors with Electrochemical Pendulum Bioanalysis for Hormone Detection.

Journal of the American Chemical Society·2026
Same author

Fieldable isothermal nucleic acid test for rapid semi-quantitative visual readout of enterococci in recreational waters.

PeerJ·2026
Same author

Validation and analysis of 12,000 AI-driven CAR-T designs in the <i>Bits to Binders</i> competitions.

bioRxiv : the preprint server for biology·2026
Same journal

The host-microbiome dimension of ecological regime shifts.

Trends in ecology & evolution·2026
Same journal

The emerging field of wild animal welfare science.

Trends in ecology & evolution·2026
Same journal

Integrating nutritional mutualists into the evolution of defense.

Trends in ecology & evolution·2026
Same journal

Formation of three great Asian plateaus, climate change, and biodiversity: (Trends Ecol. Evol. 40, 970-982; 2025).

Trends in ecology & evolution·2026
Same journal

Digital twins as a tool for ecosystem research.

Trends in ecology & evolution·2026
Same journal

Constraint and convergence in the evolution of vertebrate sound production.

Trends in ecology & evolution·2026
See all related articles

Scientists explore codon evolution, comparing natural genetic code changes to biotechnology methods. Engineering organisms to use unnatural amino acids may offer insights into evolutionary processes.

Area of Science:

  • Evolutionary biology
  • Biotechnology
  • Molecular genetics

Background:

  • The genetic code shows remarkable universality, yet natural variations prompt questions about codon evolution.
  • Two main hypotheses explain codon evolution: gradual change (ambiguous intermediate) and stochastic change (codon capture).

Purpose of the Study:

  • To compare hypotheses of natural codon evolution with biotechnology techniques for engineering the genetic code.
  • To explore how biotechnology approaches can provide insights into evolutionary processes.

Main Methods:

  • Comparing evolutionary hypotheses (ambiguous intermediate, codon capture) with genetic engineering techniques.
  • Analyzing 'top down' (organismal evolution) and 'bottom up' (biochemical engineering) approaches in biotechnology.

Related Experiment Videos

  • Investigating the incorporation of unnatural amino acids into proteomes.
  • Main Results:

    • Biotechnology techniques for genetic code engineering mirror natural codon evolution hypotheses.
    • Both 'top down' and 'bottom up' approaches offer distinct but complementary strategies.
    • Insights from these methods can inform future genetic code engineering.

    Conclusions:

    • Biotechnology experiments offer valuable perspectives on natural codon evolution.
    • A combined approach of 'top down' and 'bottom up' strategies is promising for evolving organisms capable of incorporating unnatural amino acids.
    • This research paves the way for expanding the proteome with novel amino acids.