Genetic expectations of quantitative trait loci main and interaction effects obtained with the triple testcross design and their relevance for the analysis of heterosis.

Genetics
A E MelchingerC C Schön

Abstract

Interpretation of experimental results from quantitative trait loci (QTL) mapping studies on the predominant type of gene action can be severely affected by the choice of statistical model, experimental design, and provision of epistasis. In this study, we derive quantitative genetic expectations of (i) QTL effects obtained from one-dimensional genome scans with the triple testcross (TTC) design and (ii) pairwise interactions between marker loci using two-way analyses of variance (ANOVA) under the F(2)- and the F(infinity)-metric model. The theoretical results show that genetic expectations of QTL effects estimated with the TTC design are complex, comprising both main and epistatic effects, and that genetic expectations of two-way marker interactions are not straightforward extensions of effects estimated in one-dimensional scans. We also demonstrate that the TTC design can partially overcome the limitations of the design III in separating QTL main effects and their epistatic interactions in the analysis of heterosis and that dominance x additive epistatic interactions of individual QTL with the genetic background can be estimated with a one-dimensional genome scan. Furthermore, we present genetic expectations of variance compo...Continue Reading

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Citations

Nov 17, 2009·TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·Chris C SchönAlbrecht E Melchinger
Aug 25, 2012·TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·Carl Friedrich Horst LonginJochen Christoph Reif
Sep 24, 2010·Molecular Genetics and Genomics : MGG·Lanzhi LiXinqi Li
Jan 10, 2013·Genetics Research·José M Álvarez-CastroÖrjan Carlborg
Nov 6, 2008·Genetics·Jochen C ReifAlbrecht E Melchinger
May 21, 2009·The Plant Journal : for Cell and Molecular Biology·Jan LisecThomas Altmann
Jan 7, 2014·Plant Science : an International Journal of Experimental Plant Biology·Guojing ShenYongzhong Xing
Apr 21, 2017·PLoS Genetics·Francesco Paolo CasaleOliver Stegle

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