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

Levels of selection on threshold characters.

Jacob A Moorad1, Timothy A Linksvayer

  • 1Department of Genetics, University of Georgia, Athens, Georgia 30602, USA. jmoorad@uga.edu

Genetics
|May 29, 2008
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

High-throughput phenomics of global ant biodiversity.

Nature methods·2026
Same author

Mathematical artifacts in slope-intercept correlations invalidate biological inferences in aging research.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Persistent maternal age effects on male offspring fitness traits in a wild mammal population.

Evolution letters·2025
Same author

The nature of ant caste allometry.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Social control drove ant evolution.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Emergent collective behavior evolves more rapidly than individual behavior among acorn ant species.

Proceedings of the National Academy of Sciences of the United States of America·2024
Same journal

Inherited long telomeres induce a genome-wide transcriptional response in budding yeast.

Genetics·2026
Same journal

Adaptive Dynamics of Quantitative Traits in a Steadily Changing Environment.

Genetics·2026
Same journal

Functional Landscape of Zebrafish Gonadotropins and Receptors: A Comprehensive Genetic Analysis.

Genetics·2026
Same journal

Synergistic actions of Nup43 and Myosin VI drive actin cone assembly during Drosophila spermiogenesis.

Genetics·2026
Same journal

Identification of two Cryptococcus neoformans heme transporters involved in Fhb1-mediated nitrosative stress protection in a fission yeast model.

Genetics·2026
Same journal

Analysis of a hypomorphic mei-P26 mutation reveals coordination between developmental programming of germ cells and meiotic chromosome dynamics.

Genetics·2026
See all related articles

Threshold models reveal that group selection for dimorphic traits is frequency dependent, but enhanced group selection is not an inherent property. Special considerations are needed for multi-level selection on these traits.

Area of Science:

  • Evolutionary biology
  • Quantitative genetics

Background:

  • Threshold models are crucial for understanding the evolution of complex, polygenic traits that exhibit distinct forms.
  • Individual-level selection on these traits is often inefficient due to discrete phenotypic categories and imperfect mapping to underlying genetics.

Purpose of the Study:

  • To extend threshold model theory to incorporate group selection dynamics.
  • To investigate the frequency-dependent nature of selection acting on threshold traits at both individual and group levels.

Main Methods:

  • Utilized contextual analysis to integrate group selection into threshold models.
  • Analyzed linear group-fitness functions to assess frequency dependence.

Main Results:

Related Experiment Videos

  • Demonstrated that the group-level component of selection for threshold traits is frequency dependent.
  • Found that the conditions determining the dominance of individual versus group selection (Hamilton's rule) are not frequency dependent.
  • Concluded that enhanced group selection is not an inherent feature of threshold characters.

    • Conclusions:

    • Predicting the evolution of dimorphic traits under multi-level selection requires specific attention to threshold model properties.
    • Group-level selection on threshold traits is more efficient than individual-level selection due to continuous group-level incidence.