Quantitative Trait Locus Mapping Can Benefit From Segregation Distortion
Author:
- 1 December 2008
- journal article
- Published by Oxford University Press (OUP) in Genetics
- Vol. 180 (4) , 2201-2208
Abstract
Segregation distortion is a phenomenon that has been observed in many experimental systems. How segregation distortion among markers arises and its impact on mapping studies are the focus of this work. Segregation distortion of markers can be considered to arise from segregation distortion loci (SDL). I develop a theory of segregation distortion and show that the presence of only a few SDL can cause the entire chromosome to distort from Mendelian segregation. Segregation distortion is detrimental to the power of detecting quantitative trait loci (QTL) with dominance effects, but it is not always a detriment to QTL mapping for additive effects. When segregation distortion of a locus is a random event, the SDL is beneficial to QTL mapping ∼44% of the time. If SDL are present and ignored, power loss can be substantial. A dense marker map can be used to ameliorate the situation, and if dense marker information is incorporated, power loss is minimal. However, other situations are less benign. A method that can simultaneously map QTL and SDL is discussed, maximizing both use of mapping resources and use by agricultural and evolutionary biologists.Keywords
This publication has 11 references indexed in Scilit:
- Mapping segregation distortion loci and quantitative trait loci for spikelet sterility in rice (Oryza sativa L.)Genetics Research, 2005
- A quantitative genetics model for viability selectionHeredity, 2004
- Mapping viability loci using molecular markersHeredity, 2003
- Maximum likelihood analysis of quantitative trait loci under selective genotypingHeredity, 2000
- Iteratively Reweighted Least Squares Mapping of Quantitative Trait LociBehavior Genetics, 1998
- Maximum-likelihood models for mapping genetic markers showing segregation distortion. 2. F2 populationsTheoretical and Applied Genetics, 1995
- Maximum-likelihood models for mapping genetic markers showing segregation distortion. 1. Backcross populationsTheoretical and Applied Genetics, 1995
- On estimating the linkage of marker genes to viability genes controlling inbreeding depressionTheoretical and Applied Genetics, 1994
- A simple regression method for mapping quantitative trait loci in line crosses using flanking markersHeredity, 1992
- Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.Genetics, 1989