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

Structured coalescent processes on different time scales

M Nordborg1

  • 1Department of Ecology and Evolution, University of Chicago, Illinois 60637-1573, USA. magnus@darwin.uchicago.edu

Genetics
|August 1, 1997
PubMed
Summary

The structured coalescent model, incorporating partial selfing and background selection, accurately predicts genetic differentiation. This model is crucial for understanding population genetics and evolutionary processes.

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

Estimating allelic diversity generated by excision of different transposon types.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2013
Same author

A map of local adaptation in Arabidopsis thaliana.

Science (New York, N.Y.)·2011
Same author

Distribution of genetic variation within and among local populations of Arabidopsis thaliana over its species range.

Molecular ecology·2006
Same author

On the meaning and existence of an effective population size.

Genetics·2004
Same author

Likelihoods and simulation methods for a class of nonneutral population genetics models.

Genetics·2001
Same author

Linkage disequilibrium, gene trees and selfing: an ancestral recombination graph with partial self-fertilization.

Genetics·2000

Area of Science:

  • Population Genetics
  • Evolutionary Biology
  • Genomics

Background:

  • Coalescent theory is fundamental to population genetics.
  • Understanding genetic variation requires models that incorporate complex evolutionary forces.
  • Previous models often simplified or omitted factors like selfing and background selection.

Purpose of the Study:

  • To extend the structured coalescent model to include partial selfing and background selection.
  • To derive a model incorporating geographic subdivision and selection (local adaptation or balancing).
  • To calculate expected coalescence times under these complex conditions.

Main Methods:

  • Utilized an approximation based on the separation of time scales.
  • Developed an extended structured coalescent model.
  • Calculated expected coalescence time for gene pairs.

Main Results:

  • Background selection reduces coalescence times within subpopulations and allelic classes.
  • This reduction leads to a high degree of apparent genetic differentiation.
  • Regions near loci under local adaptation show extremely high subpopulation differentiation.

Conclusions:

  • The extended structured coalescent model provides a powerful framework for studying population genetic structure.
  • Background selection and local adaptation significantly impact inferred genetic differentiation.
  • Selfing rates and selection strength influence the extent of genomic regions affected by local adaptation.

Related Experiment Videos