Genetics, Vol. 164, 1657-1666, August 2003, Copyright © 2003

High-Resolution Mapping of Quantitative Trait Loci by Selective Recombinant Genotyping

Y. Ronina, A. Korola, M. Shtemberga, E. Nevoa, and M. Sollerb
a Institute of Evolution, University of Haifa, Mount Carmel, 31095 Haifa, Israel
b Department of Genetics, The Hebrew University of Jerusalem, 91904 Jerusalem, Israel

Corresponding author: A. Korol, University of Haifa, Mount Carmel, 31095 Haifa, Israel., korol{at}esti.haifa.ac.il (E-mail)

Communicating editor: J. B. WALSH

Selective recombinant genotyping (SRG) is a three-stage procedure for high-resolution mapping of a QTL that has previously been mapped to a known confidence interval (target C.I.). In stage 1, a large mapping population is accessed and phenotyped, and a proportion, P, of the high and low tails is selected. In stage 2, the selected individuals are genotyped for a pair of markers flanking the target C.I., and a group of R individuals carrying recombinant chromosomes in the target interval are identified. In stage 3, the recombinant individuals are genotyped for a set of M markers spanning the target C.I. Extensive simulations showed that: (1) Standard error of QTL location (SEQTL) decreased when QTL effect (d) or population size (N) increased, but was constant for given "power factor" (PF = d2N); (2) increasing the proportion selected in the tails beyond 0.25 had only a negligible effect on SEQTL; and (3) marker spacing in the target interval had a remarkably powerful effect on SEQTL, yielding a reduction of up to 10-fold in going from highest (24 cM) to lowest (0.29 cM) spacing at given population size and QTL effect. At the densest marker spacing, SEQTL of 1.0–0.06 cM were obtained at PF = 500–16,000. Two new genotyping procedures, the half-section algorithm and the golden section/half-section algorithm, allow the equivalent of complete haplotyping of the target C.I. in the recombinant individuals to be achieved with many fewer data points than would be required by complete individual genotyping.





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