Upadyayula N, Wassom J, Bohn M O, Rocheford T R
Department of Crop Sciences, University of Illinois, Urbana, IL 61801, USA.
Theor Appl Genet. 2006 Nov;113(8):1395-407. doi: 10.1007/s00122-006-0359-2. Epub 2006 Oct 24.
Maize tassel inflorescence architecture is relevant to efficient production of F(1) seed and yield performance of F(1) hybrids. The objectives of this study were to identify genetic relationships among seven measured tassel inflorescence architecture traits and six calculated traits in a maize backcross population derived from two lines with differing tassel architectures, and identify Quantitative Trait Loci (QTL) involved in the inheritance of those tassel inflorescence architecture traits. A Principal Component (PC) analysis was performed to examine relationships among correlated traits. Traits with high loadings for PC1 were branch number and branch number density, for PC2 were spikelet density on central spike and primary branch, and for PC3 were lengths of tassel and central spike. We detected 45 QTL for individual architecture traits and eight QTL for the three PCs. For control of inflorescence architecture, important QTL were found in bins 7.02 and 9.02. The interval phi034-ramosa1 (ral) in bin 7.02 was associated with six individual architecture trait QTL and explained the largest amount of phenotypic variation (17.3%) for PC1. Interval bnlg344-phi027 in bin 9.02 explained the largest amount of phenotypic variation (14.6%) for PC2. Inflorescence architecture QTL were detected in regions with candidate genes fasciated ear2, thick tassel dwarf1, and ral. However, the vast majority of QTL mapped to regions without known candidate genes, indicating positional cloning efforts will be necessary to identify these genes.
玉米雄穗花序结构与F1种子的高效生产及F1杂交种的产量表现相关。本研究的目的是确定来自两个具有不同雄穗结构的品系的玉米回交群体中七个测量的雄穗花序结构性状和六个计算性状之间的遗传关系,并确定参与这些雄穗花序结构性状遗传的数量性状位点(QTL)。进行主成分(PC)分析以检验相关性状之间的关系。PC1高载荷的性状是分枝数和分枝数密度,PC2的是中央穗和一级分枝上的小穗密度,PC3的是雄穗和中央穗的长度。我们检测到了45个控制单个结构性状的QTL和8个控制三个主成分的QTL。为了控制花序结构,在7.02和9.02区间发现了重要的QTL。7.02区间的phi034 - ramosa1(ral)区间与六个单个结构性状QTL相关,并解释了PC1最大量的表型变异(17.3%)。9.02区间的bnlg344 - phi027区间解释了PC2最大量的表型变异(14.6%)。在具有候选基因fasciated ear2、thick tassel dwarf1和ral的区域检测到了花序结构QTL。然而,绝大多数QTL定位到没有已知候选基因的区域,这表明需要进行图位克隆来鉴定这些基因。