Orthogonal contrast based models for quantitative genetic analysis in autotetraploid species
Orthogonal contrast based models for quantitative genetic analysis in autotetraploid species
复制标题
基于正交对比的同源四倍体物种定量遗传分析模型
DOI：
10.1111/nph.15284
复制
发表时间：
2018-10-01
期刊：
影响因子：
9.4
通讯作者：
Luo, Zewei
中科院分区：
文献类型：
--
作者：
Chen, Jing;Zhang, Fengjun;Luo, Zewei
解剖数量性状的遗传结构是高效育种多倍体植物的关键目标，多倍体植物包括同源四倍体作物物种，如土豆和咖啡，以及观赏植物，如玫瑰。为了实现这一目标，需要一个数量遗传模型来将数量性状座位(QTL)上的基因或基因型的遗传效应与数量性状的表型联系起来，我们在一般线性模型中基于正交对比比较提出了一个统计上易于处理的同源四倍体数量遗传模型。新方法适用于具有任何群体遗传结构的同源四倍体物种，并充分考虑了同源四倍体遗传的基本特征。通过模拟研究探索了新方法的统计特性，并与文献中的另一种方法进行了比较。我们通过分析同源四倍体马铃薯分离群体的性状表型数据，展示了这些方法如何应用于同源四倍体的定量遗传分析。利用性状分离分析表明，开花时间和株高这两个高遗传性状均受主QTL控制，正交模型直接将遗传方差分解成独立的分量，并在考虑四体基因分离的情况下给出一致的遗传效应估计。
Dissecting the genetic architecture of quantitative traits is a crucial goal for efficient breeding of polyploid plants, including autotetraploid crop species, such as potato and coffee, and ornamentals such as rose. To meet this goal, a quantitative genetic model is needed to link the genetic effects of genes or genotypes at quantitative trait loci (QTL) to the phenotype of quantitative traits.We present a statistically tractable quantitative genetic model for autotetraploids based on orthogonal contrast comparisons in the general linear model. The new methods are suitable for autotetraploid species with any population genetic structure and take full account of the essential features of autotetrasomic inheritance. The statistical properties of the new methods are explored and compared to an alternative method in the literature by simulation studies.We have shown how these methods can be applied for quantitative genetic analysis in autotetraploids by analysing trait phenotype data from an autotetraploid potato segregating population. Using trait segregation analysis, we showed that both highly heritable traits of flowering time and plant height were under the control of major QTL.The orthogonal model directly dissects genetic variance into independent components and gives consistent estimates of genetic effects provided that tetrasomic gene segregation is considered.