Maize association population: a high-resolution platform for quantitative trait locus dissection

被引:686
作者
Flint-Garcia, SA
Thuillet, AC
Yu, JM
Pressoir, G
Romero, SM
Mitchell, SE
Doebley, J
Kresovich, S
Goodman, MM
Buckler, ES
机构
[1] USDA ARS, Plant Genet Res Unit, Columbia, MO 65211 USA
[2] Univ Missouri, Div Plant Sci, Columbia, MO 65211 USA
[3] Univ Missouri, Dept Genet, Columbia, MO 65211 USA
[4] N Carolina State Univ, Dept Crop Sci, Raleigh, NC 27695 USA
[5] USDA ARS, US Plant Soil & Nutr Res Unit, Ithaca, NY 14853 USA
关键词
association mapping; quantitative trait loci; diverse maize germplasm; linkage-disequilibrium mapping;
D O I
10.1111/j.1365-313X.2005.02591.x
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
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.
引用
收藏
页码:1054 / 1064
页数:11
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