Maize association population: a high-resolution platform for quantitative trait locus dissection
Maize association population: a high-resolution platform for quantitative trait locus dissection
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DOI：
10.1111/j.1365-313x.2005.02591.x
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发表时间：
2005-12-01
期刊：
影响因子：
7.2
通讯作者：
Buckler, ES
中科院分区：
文献类型：
--
作者：
Flint-Garcia, SA;Thuillet, AC;Buckler, ES
作物改良和复杂遗传性状的剖析需要种质多样性。尽管这种必要的表型变异存在于不同的玉米中，但大多数研究都是使用一小部分自交系进行的。一个302个株系的关联群体现在是可用的-一个有价值的研究工具，捕获了栽培玉米中大部分的等位基因。只要包括校正群体结构的适当统计模型，该工具可用于关联分析以提供多个等位基因的高分辨率评估。本研究描述了302个品系的群体结构，并调查了群体结构与表型和育种值的各种措施之间的关系。平均而言，我们对群体结构的估计占表型变异的9.3%，大致相当于一个主要数量性状位点（QTL），最高可达35%。在关联模型中包含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可能识别影响小的QTL，这将有助于解剖复杂的性状，并规划未来的项目，以利用玉米中存在的丰富多样性。
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.