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

Coevolution, modularity and human disease.

Hunter B Fraser1

  • 1Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA 02142, USA. hunter@broad.mit.edu <hunter@broad.mit.edu>

Current Opinion in Genetics & Development
|September 29, 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

Adaptive loss of function accelerated the evolution of ancient and modern human cognition.

bioRxiv : the preprint server for biology·2026
Same author

In silico genome transplants and the cis-regulatory basis of biodiversity.

Trends in genetics : TIG·2025
Same author

A General Principle of Neuronal Evolution Reveals a Human-Accelerated Neuron Type Potentially Underlying the High Prevalence of Autism in Humans.

Molecular biology and evolution·2025
Same author

Disentangling cell-intrinsic and cell-extrinsic factors underlying evolution.

Cell genomics·2025
Same author

Massively parallel interrogation of the fitness of natural variants in ancient signaling pathways reveals pervasive local adaptation.

bioRxiv : the preprint server for biology·2024
Same author

A general principle of neuronal evolution reveals a human-accelerated neuron type potentially underlying the high prevalence of autism in humans.

bioRxiv : the preprint server for biology·2024
Same journal

Temporal trajectories underlying adult neuronal diversity.

Current opinion in genetics & development·2026
Same journal

Transcription regulation of cell fate plasticity - from embryonic development to tissue regeneration.

Current opinion in genetics & development·2026
Same journal

Shared molecular and cellular programs during regeneration of glandular epithelia.

Current opinion in genetics & development·2026
Same journal

Lineage tracing in human cortical development.

Current opinion in genetics & development·2026
Same journal

Cis-regulatory strategies in developmental patterning.

Current opinion in genetics & development·2026
Same journal

GABAergic neuron fate specification and lineage allocation: from development to disorder.

Current opinion in genetics & development·2026
See all related articles

Coevolution and modularity are fundamental genomic features found across species. Their combined study offers new insights into biological systems and human diseases.

Area of Science:

  • Genomics
  • Evolutionary Biology
  • Systems Biology

Background:

  • Coevolution and modularity have been historically studied independently.
  • Recent genomic advances enable molecular-level investigations into these concepts.
  • Both phenomena are increasingly recognized as fundamental biological principles.

Purpose of the Study:

  • To explore the intersection of coevolution and modularity in genomic data.
  • To understand the implications of combining these concepts for biological architecture and disease.
  • To highlight the pervasive nature of these features across diverse datasets.

Main Methods:

  • Systematic molecular-level studies using genomic data.
  • Analysis of genome sequences.

Related Experiment Videos

  • Examination of gene expression data.
  • Investigation of protein-protein interaction data.
  • Main Results:

    • Coevolution and modularity are pervasive in genomic data from all studied species.
    • These features are detectable across various data types (sequences, expression, interactions).
    • Evidence suggests these concepts are fundamental to biological organization.

    Conclusions:

    • The integration of coevolution and modularity provides a powerful framework for understanding biological systems.
    • This combined perspective may illuminate the origins of complex biological architectures.
    • Understanding these genomic principles could advance research into the causes of human diseases.