Mixed models including environmental covariables for studying QTL by environment interaction
Mixed models including environmental covariables for studying QTL by environment interaction
复制标题
DOI：
10.1023/b:euph.0000040511.46388.ef
复制
发表时间：
2004-01-01
期刊：
影响因子：
1.9
通讯作者：
van Eeuwijk, FA
中科院分区：
文献类型：
--
作者：
Malosetti, M;Voltas, J;van Eeuwijk, FA
研究一组基因型对环境的表型反应一直是植物育种的重要研究领域。这些反应的非平行性被称为基因型与环境的相互作用（GEI）。当基因型的表型优势随环境变化时，GEI尤其影响植物育种策略。GEI遗传基础的研究涉及数量性状基因座（QTL）表达对环境因子依赖性的建模。我们提出了一个建模框架，研究QTL和环境之间的相互作用，在混合模型的背景下使用回归模型。我们整合了QTL主效应表达的回归模型与基因型与环境相互作用的因子回归模型，此外，还要注意充分模拟剩余的遗传变异。因子回归模型描述GEI作为一个或多个环境协变量的差异基因型敏感性。我们展示了如何阶乘回归模型可以推广到QTL的表达依赖于环境协变量。作为一个说明性的例子，我们重新分析了北美大麦基因组计划的产量数据。在2H染色体上鉴定的产量QTL与环境互作可以描述为与抽穗期温度范围大小相关的QTL表达。
The study of the phenotypic responses of a set of genotypes in their dependence on the environment has always been an important area of research in plant breeding. Non-parallelism of those responses is called genotype by environment interaction (GEI). GEI especially affects plant breeding strategies, when the phenotypic superiority of genotypes changes in relation to the environment. The study of the genetic basis of GEI involves the modelling of quantitative trait locus (QTL) expression in its dependence on environmental factors. We present a modelling framework for studying the interaction between QTL and environment, using regression models in a mixed model context. We integrate regression models for QTL main effect expression with factorial regression models for genotype by environment interaction, and, in addition, take care to model adequately the residual genetic variation. Factorial regression models describe GEI as differential genotypic sensitivity to one or more environmental covariables. We show how factorial regression models can be generalized to make also QTL expression dependent on environmental covariables. As an illustrative example, we reanalyzed yield data from the North American Barley Genome Project. QTL by environment interaction for yield, as identified at the 2H chromosome could be described as QTL expression in relation to the magnitude of the temperature range during heading.