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

Error-reducing structure of the genetic code indicates code origin in non-thermophile organisms.

Alexander Gutfraind1, Achim Kempf

  • 1Center for Applied Mathematics, Cornell University, Ithaca, New York 14853, USA. gfriend@cam.cornell.edu

Origins of Life and Evolution of the Biosphere : the Journal of the International Society for the Study of the Origin of Life
|June 8, 2007
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

Encrypted Qubits Can Be Cloned.

Physical review letters·2026
Same author

Challenges in coverage of future hepatitis C vaccines: Review and potential solutions.

Vaccine·2025
Same author

Modern approaches to predicting vaccine hesitancy: A scoping review.

medRxiv : the preprint server for health sciences·2025
Same author

Modeling of randomized hepatitis C vaccine trials: Bridging the gap between controlled human infection models and real-word testing.

PNAS nexus·2025
Same author

Defining the analytical complexity of decision problems under uncertainty based on their pivotal properties.

PeerJ. Computer science·2024
Same author

Reducing Sample Size While Improving Equity in Vaccine Clinical Trials: A Machine Learning-Based Recruitment Methodology with Application to Improving Trials of Hepatitis C Virus Vaccines in People Who Inject Drugs.

Healthcare (Basel, Switzerland)·2024

The study reconstructs early genetic code evolution, revealing that genetic error rates and nucleotide frequencies from the RNA World era can be inferred. Findings suggest the genetic code fixed before high-G+C content arose, possibly after DNA emerged.

Area of Science:

  • Evolutionary biology
  • Genetics
  • Biochemistry

Background:

  • The RNA World hypothesis posits early life used RNA for genetic information and catalysis.
  • High rates of genetic errors likely occurred, driving selection for a robust genetic code.
  • The structure of the modern genetic code may reflect ancient error-correction mechanisms.

Purpose of the Study:

  • To reconstruct historical genetic error rates and nucleotide frequencies during the RNA World.
  • To investigate the evolutionary pressures that shaped the genetic code.
  • To infer conditions under which the genetic code was fixed.

Main Methods:

  • Analyzing the structure of the modern genetic code.
  • Modeling the impact of different genetic error types on code evolution.

Related Experiment Videos

  • Inferring nucleotide frequencies from genetic code patterns.
  • Main Results:

    • The study successfully reconstructed aspects of early genetic error rates and nucleotide frequencies.
    • Evidence suggests that Guanine (G) and Cytosine (C) nucleotide frequencies were not elevated during code fixation.
    • This implies the genetic code likely stabilized before the widespread adoption of high G+C content.

    Conclusions:

    • The genetic code's structure provides a historical record of early life's genetic error landscape.
    • The fixation of the genetic code may have occurred in non-thermophilic organisms or post-DNA emergence.
    • This research offers insights into the co-evolution of genetic systems and environmental conditions.