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Related Experiment Videos

Disequilibrium between linked inversions: an alternative hypothesis.

A G Clark, M W Feldman

    Heredity
    |June 1, 1981
    PubMed
    Summary
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    Recombination rates differ between cis and trans inversion heterozygotes in Drosophila melanogaster. Stable linkage disequilibrium can occur even without selection, explaining patterns in wild insect populations.

    Area of Science:

    • Genetics and Evolutionary Biology
    • Population Genetics
    • Molecular Biology

    Background:

    • Recombination rates can vary depending on the arrangement of alleles (cis vs. trans).
    • Linkage disequilibrium, the non-random association of alleles at different loci, is frequently observed in natural populations.
    • Inversions are common chromosomal rearrangements in many insect species.

    Purpose of the Study:

    • To investigate the impact of inversion heterozygosity on recombination rates.
    • To develop and analyze a theoretical model for recombination in double heterozygotes.
    • To determine if linkage disequilibrium can be maintained in a neutral model with differing recombination rates.

    Main Methods:

    • Experimental crosses in Drosophila melanogaster to measure recombination frequencies.

    Related Experiment Videos

  • Development of a two-locus theoretical model.
  • Mathematical analysis of the model under neutral conditions (no selection).

    • Main Results:

    • Demonstrated a significant difference in recombination rates between cis and trans inversion double heterozygotes.
    • The theoretical model showed that stable linkage disequilibrium can be maintained.
    • This occurs even when no selective pressures are acting on the loci.

    Conclusions:

    • Recombination rate differences in heterozygotes can be a key factor in maintaining linkage disequilibrium.
    • The findings provide a potential explanation for the widespread observation of linkage disequilibrium associated with linked inversions in natural insect populations.
    • This highlights the importance of considering chromosomal arrangements in population genetic models.