Submitted to: Animal Genetics
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 6/1/1995
Publication Date: N/A
Citation: Interpretive Summary: Genetic maps are being developed for a number of animal and plant species. The primary motivation to develop these maps is to identify and locate genes that influence traits of economic importance. The location of these genes can be used to enhance the speed and accuracy of traditional breeding programs. Once a gene has been located to a region on the genetic map, it is highly desirable to saturate that region with as many genetic markers as possible to more finely pinpoint the exact location of the gene. In this paper, we describe a method for saturating regions with genetic markers. Essential, the procedure places individuals from a large family into two groups that differ by the genetic marker for the region of interest. Then, these two groups are screened for additional genetic markers. Any difference that is identified indicates a genetic marker that must be in the region of interest.
Technical Abstract: Bulked cosegregant analysis is a method for rapidly allocating unmapped genetic markers to a specific chromosomal region. Although originally developed for utilization in populations derived from crosses between fully inbred lines, it has been proposed that cosegregant pools could also serve the same purpose in outbreeding populations, if individuals from only a single large family are pooled. Large, fully-mapped, single-sire backcross and half-sib families are presently available as part of the international chicken and bovine reference family panels, respectively. In this study, power and tests of significance for single-parent cosegregant analysis are derived for full-sib, single-parent backcross, and single-parent half-sib families, as a function of proportion of recombination between index marker and linked marker, proportion of single-parent alleles among the mates, number of individuals in each segregant pool, and technical error variance. Power was found to be greater than 0.80 for many reasonable parameter combinations. The method is illustrated, using microsatellite markers, and a large single-sire bovine family, part of the international bovine reference family panel.