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

Evolutionary potential of a duplicated repressor-operator pair: simulating pathways using mutation data.

Frank J Poelwijk1, Daniel J Kiviet, Sander J Tans

  • 1FOM Institute for Atomic and Molecular Physics (AMOLF), Amsterdam, Netherlands.

Plos Computational Biology
|May 31, 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

Small Molecule Activators of Protein Phosphatase 2A Exert Global Stabilizing Effects on the Scaffold PR65.

JACS Au·2026
Same author

Calmodulin assists during co-translational folding of the K<sub>V</sub>7.2 channel calcium responsive domain.

Protein science : a publication of the Protein Society·2026
Same author

Cotranslational Assembly of Oligomeric Proteins.

Annual review of biochemistry·2026
Same author

NAC promotes co-translational protein folding at the ribosomal tunnel exit.

Molecular cell·2026
Same author

Human gut M cells resemble dendritic cells and present gluten antigen.

Nature·2025
Same author

Cell tracking with accurate error prediction.

Nature methods·2025
Same journal

DeepMethylation: A deep learning framework for tissue-specific DNA methylation prediction and functional variant annotation.

PLoS computational biology·2026
Same journal

Redefining and estimating the early-phase reproduction ratio for epidemic outbreaks in spatially structured populations.

PLoS computational biology·2026
Same journal

Optimized phenotype definitions boost GWAS power.

PLoS computational biology·2026
Same journal

Detection, communication, and individual identification with deep audio embeddings: A case study with North Atlantic right whales.

PLoS computational biology·2026
Same journal

Exploring the structural lexicon of the Proteome via Metric Geometry.

PLoS computational biology·2026
Same journal

Linking retinal sampling in neural encoding models to temporal profiles of visual processing in humans.

PLoS computational biology·2026
See all related articles

Gene duplication allows new functions to evolve. This study shows duplicated repressors can gain new DNA binding sites through co-divergence, driven by selection, not neutral mutations.

Area of Science:

  • Evolutionary biology
  • Molecular biology
  • Systems biology

Background:

  • Gene duplication is crucial for evolution, but the divergence process remains unclear.
  • Understanding how duplicated genes acquire new functions is essential for deciphering regulatory network evolution.

Purpose of the Study:

  • To computationally investigate the step-by-step divergence of duplicated repressors.
  • To identify selective conditions enabling the evolution of new regulatory interactions.

Main Methods:

  • Simulated gene duplication of repressors in Escherichia coli.
  • Quantified intermediate phenotypes using in vivo repression strengths of lac mutants.
  • Constructed evolutionary pathways via base pair substitutions and selection for binding.

Related Experiment Videos

Main Results:

  • Duplicated repressors and their binding sites co-evolve, facilitating new interactions.
  • Early fitness increases observed during divergence towards new regulatory roles.
  • Neutral mutations were found to be non-essential for significant divergence.

Conclusions:

  • Coevolutionary mechanisms are vital for the divergence of regulatory networks.
  • The study highlights key factors driving the evolution of protein-DNA and protein-protein interactions post-duplication.