Originally published as Genetics Published Articles Ahead of Print on April 15, 2007.

Genetics, Vol. 176, 1261-1281, June 2007, Copyright © 2007
doi:10.1534/genetics.106.069641

Joint Estimates of Quantitative Trait Locus Effect and Frequency Using Synthetic Recombinant Populations of Drosophila melanogaster

Stuart J. Macdonald*,1 and Anthony D. Long{dagger}

* Department of Ecology and Evolutionary Biology and Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas 66045 and {dagger} Department of Ecology and Evolutionary Biology, University of California, Irvine, California 92697

1 Corresponding author: Department of Ecology and Evolutionary Biology, University of Kansas, 1030 Haworth Hall, 1200 Sunnyside Ave., Lawrence, KS 66045.
E-mail: sjmac{at}ku.edu

We develop and implement a strategy to map QTL in two synthetic populations of Drosophila melanogaster each initiated with eight inbred founder strains. These recombinant populations allow simultaneous estimates of QTL location, effect, and frequency. Five X-linked QTL influencing bristle number were resolved to intervals of ~1.3 cM. We confirm previous observations of bristle number QTL distal to 4A at the tip of the chromosome and identify two novel QTL in 7F–8C, an interval that does not include any classic bristle number candidate genes. If QTL at the tip of the X are biallelic they appear to be intermediate in frequency, although there is evidence that these QTL may reside in multiallelic haplotypes. Conversely, the two QTL mapping to the middle of the X chromosome are likely rare: in each case the minor allele is observed in only 1 of the 16 founders. Assuming additivity and biallelism we estimate that identified QTL contribute 1.0 and 8.7%, respectively, to total phenotypic variation in male abdominal and sternopleural bristle number in nature. Models that seek to explain the maintenance of genetic variation make different predictions about the population frequency of QTL alleles. Thus, mapping QTL in eight-way recombinant populations can distinguish between these models.


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Genetics 2007 176: NP. [Full Text]