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Selection with recurrent backcrossing to develop congenic lines for quantitative trait loci analysis

W G Hill1

  • 1Institute of Cell, Animal and Population Biology, University of Edinburgh, Scotland, United Kingdom. w.g.hill@ed.ac.uk

Genetics
|April 16, 1998
PubMed
Summary

This study proposes a method using recurrent backcrossing and selection to isolate genes influencing quantitative traits. The approach aims to identify quantitative trait loci (QTL) by creating congenic lines for genetic mapping and gene cloning.

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Area of Science:

  • Genetics
  • Quantitative Trait Loci (QTL) Analysis
  • Genomic Mapping

Background:

  • Sewall Wright proposed isolating large-effect genes for quantitative traits via recurrent backcrossing.
  • Quantitative trait loci (QTL) with differing parental alleles remain segregating during this process.
  • Other genomic regions become fixed to the recurrent parent's genotype.

Purpose of the Study:

  • To evaluate the effectiveness of recurrent backcrossing with selection for isolating QTL.
  • To determine the probability of retaining QTL of specified effect.
  • To assess the practical value of this method for genetic research.

Main Methods:

  • Utilizing recurrent backcrossing with selection on a quantitative trait.
  • Developing congenic lines that are genetically similar to the recurrent parent.

Related Experiment Videos

  • Employing dense genetic markers to identify segregating QTL regions.
  • Analytical formulas for 1-2 loci and simulations for >2 loci were used to compute probabilities.

    • Main Results:

    • The method creates congenic lines differing from the recurrent parent primarily at QTL and linked regions.
    • The probability of retaining QTL depends on their effect, selection intensity, and backcrossing generations.
    • The proposed strategy demonstrates significant discriminating ability for QTL identification.

    Conclusions:

    • Recurrent backcrossing with selection is a viable strategy for isolating genes with large effects on quantitative traits.
    • This method facilitates the creation of valuable resources for fine-scale mapping and gene cloning.
    • The approach holds practical potential for genetic dissection of complex traits.