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【目的】复合性状在育种中有广泛的应用,但传统复合性状的QTL定位方法仅仅利用两个或几个构成性状的计算值作为表型值,未考虑复合性状的生物学内涵,从而影响定位的准确性。因此,发展适合于复合性状的QTL定位模型,对于深入解析控制复合性状的遗传结构,进而提高基因定位准确性显得越来越重要。【方法】针对全基因组重测序数据,本文发展了一个复合性状QTL定位模型(Composite Traits Mapping model,CTM),CTM将复合性状进行分解,把分解后的组分以二元或多元正态分布形式整合到QTL作图的框架内。【结果】通过应用CTM分析杨树材积生长数据,成功定位到大量与杨树材积生长相关基因,并与传统方法进行了比较,表现出较好的性能。计算机模拟试验表明本文发展的CTM模型在定位复合性状QTL中具有较高的效力,在达到一定的样本数量和遗传力条件下,CTM模型具有较强的效力,样本量和遗传力的增加都能够增加参数估计的精度。【结论】CTM模型有助于复合性状遗传结构的解析,促进林木分子标记辅助育种的开展。
【Objective】 The composite traits have been widely used in breeding. However, the QTL mapping methods of traditional composite traits only use the calculated values of two or more traits as the phenotypic values without considering the biological connotation of the trait, thus affecting the location Accuracy Therefore, it is more and more important to develop a QTL mapping model that is suitable for the trait of composite traits for further analysis and control of the genetic structure of the trait and thus the accuracy of the gene mapping. 【Method】 In this paper, a composite traits mapping model (CTM) was developed for genome-wide resequencing data. The CTM decomposes the composite traits. The decomposed components are expressed in binary or multivariate normal distribution Integrated into the QTL mapping framework. 【Result】 By using CTM to analyze poplar volume growth data, a large number of genes related to poplar volume growth were successfully mapped and compared with the traditional methods, showing good performance. Computer simulation tests show that the CTM model developed in this paper has high efficacy in locating QTLs for composite traits. CTM models are highly effective with a certain amount of samples and heritability, and both the sample size and heritability increase Increase the accuracy of parameter estimation. 【Conclusion】 The CTM model is helpful for the analysis of genetic traits of composite traits and the promotion of molecular marker-assisted breeding of forest trees.