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A Low Resolution Epistasis Mapping Approach To Identify Chromosome Arm Interactions in Allohexaploid Wheat

机译:一种低分辨率的上位映射方法来识别异六倍体小麦中的染色体臂相互作用

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Epistasis is an important contributor to genetic variance. In inbred populations, pairwise epistasis is present as additive by additive interactions. Testing for epistasis presents a multiple testing problem as the pairwise search space for modest numbers of markers is large. Single markers do not necessarily track functional units of interacting chromatin as well as haplotype based methods do. To harness the power of multiple markers while minimizing the number of tests conducted, we present a low resolution test for epistatic interactions across whole chromosome arms. Epistasis covariance matrices were constructed from the additive covariances of individual chromosome arms. These covariances were subsequently used to estimate an epistatic variance parameter while correcting for background additive and epistatic effects. We find significant epistasis for 2% of the interactions tested for four agronomic traits in a winter wheat breeding population. Interactions across homeologous chromosome arms were identified, but were less abundant than other chromosome arm pair interactions. The homeologous chromosome arm pair 4BL/4DL showed a strong negative relationship between additive and interaction effects that may be indicative of functional redundancy. Several chromosome arms appeared to act as hubs in an interaction network, suggesting that they may contain important regulatory factors. The differential patterns of epistasis across different traits demonstrate that detection of epistatic interactions is robust when correcting for background additive and epistatic effects in the population. The low resolution epistasis mapping method presented here identifies important epistatic interactions with a limited number of statistical tests at the cost of low precision.
机译:上位性是遗传变异的重要因素。在近交种群中,成对上位通过加性相互作用作为加性存在。上位性测试存在多个测试问题,因为适度数量的标记的成对搜索空间很大。单个标记不一定像基于单体型的方法那样跟踪相互作用的染色质的功能单元。为了利用多个标记的功能,同时最大程度地减少测试次数,我们针对整个染色体臂上的上位性相互作用提出了一种低分辨率测试。从单个染色体臂的相加协方差构建上位协方差矩阵。这些协方差随后用于估算上位变异参数,同时校正背景累加和上位效应。我们发现,在冬小麦育种种群中,针对四种农艺性状的2%的交互作用均具有显着的上位性。跨同源染色体臂的相互作用被确定,但比其他染色体臂对的相互作用少。同源染色体臂对4BL / 4DL在累加效应和相互作用效应之间显示出强烈的负相关关系,这可能表明功能冗余。几个染色体臂似乎在相互作用网络中充当枢纽,表明它们可能包含重要的调节因子。跨越不同性状的上位性差异模式表明,校正人群中的背景加性和上位性效应时,上位性相互作用的检测是可靠的。本文介绍的低分辨率上位映射方法以有限的统计测试次数来识别重要的上位相互作用,但其准确性较低。

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