Flint-Garcia Sherry A, Thuillet Anne-Céline, Yu Jianming, Pressoir Gael, Romero Susan M, Mitchell Sharon E, Doebley John, Kresovich Stephen, Goodman Major M, Buckler Edward S
US Department of Agriculture - Agricultural Research Service, Plant Genetics Research Unit, Columbia, MO 65211, USA.
Plant J. 2005 Dec;44(6):1054-64. doi: 10.1111/j.1365-313X.2005.02591.x.
Crop improvement and the dissection of complex genetic traits require germplasm diversity. Although this necessary phenotypic variability exists in diverse maize, most research is conducted using a small subset of inbred lines. An association population of 302 lines is now available--a valuable research tool that captures a large proportion of the alleles in cultivated maize. Provided that appropriate statistical models correcting for population structure are included, this tool can be used in association analyses to provide high-resolution evaluation of multiple alleles. This study describes the population structure of the 302 lines, and investigates the relationship between population structure and various measures of phenotypic and breeding value. On average, our estimates of population structure account for 9.3% of phenotypic variation, roughly equivalent to a major quantitative trait locus (QTL), with a high of 35%. Inclusion of population structure in association models is critical to meaningful analyses. This new association population has the potential to identify QTL with small effects, which will aid in dissecting complex traits and in planning future projects to exploit the rich diversity present in maize.
作物改良和复杂遗传性状的解析需要种质多样性。尽管这种必要的表型变异性存在于多种玉米中,但大多数研究是使用一小部分自交系进行的。现在有一个由302个品系组成的关联群体——这是一个有价值的研究工具,它捕获了栽培玉米中很大比例的等位基因。如果纳入校正群体结构的适当统计模型,这个工具可用于关联分析,以对多个等位基因进行高分辨率评估。本研究描述了这302个品系的群体结构,并研究了群体结构与各种表型和育种价值度量之间的关系。平均而言,我们对群体结构的估计解释了9.3%的表型变异,大致相当于一个主要的数量性状位点(QTL),最高可达35%。在关联模型中纳入群体结构对于有意义的分析至关重要。这个新的关联群体有潜力识别出效应较小的QTL,这将有助于解析复杂性状,并有助于规划未来利用玉米中丰富多样性的项目。