Hostname: page-component-8448b6f56d-xtgtn Total loading time: 0 Render date: 2024-04-18T01:13:55.175Z Has data issue: false hasContentIssue false

The full-sib intercross line (FSIL): a QTL mapping design for outcrossing species

Published online by Cambridge University Press:  01 February 1999

J. Z. SONG
Affiliation:
Department of Genetics, The Silberman Life Sciences Institute, The Hebrew University of Jerusalem, 91904 Jerusalem, Israel
M. SOLLER
Affiliation:
Department of Genetics, The Silberman Life Sciences Institute, The Hebrew University of Jerusalem, 91904 Jerusalem, Israel
A. GENIZI
Affiliation:
Department of Statistics, Agricultural Research Organization, POB 6 Bet Dagan 50250, Israel
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

A full-sib intercross line (FSIL) is constructed in an outcrossing species by mating two parents and intercrossing their progeny to form a large intercross line. For given statistical power, a FSIL design requires only slightly more individuals than an F2 design derived from inbred line cross, but 6- to 10-fold fewer than a half-sib or full-sib design. Due to population-wide linkage disequilibrium, a FSIL is amenable to analysis by selective DNA pooling. In addition, a FSIL is maintained by continued intercrossing so that DNA samples and phenotypic information are accumulated across generations. Continued intercrossing also leads to map expansion and thus to increased mapping accuracy in the later generations. A FSIL can thus provide a bridge to positional cloning of quantitative trait loci (QTL) and marker-assisted selection in outcrossers; and is particularly effective in exploiting the QTL mapping potential of crosses between selection lines or phenotypically differentiated populations that differ in frequency, but are not at fixation, for alternative QTL alleles. In the course of the power analyses, it is shown that for F2 and FSIL designs, power is a function of Nd2 alone, where N is the total size of the mapping population and d is the standardized gene effect; while for half-sib and full-sib populations, power is a function of Nd2 and of the number of families included in the mapping population. This provides a convenient means of estimating power for a wide variety of mapping designs.

Type
Research Article
Copyright
© 1999 Cambridge University Press