玉米产量及产量相关性状QTL的图谱整合

Map Integration of QTLs for Grain Yield and Its Related Traits in Maize

利用生物信息学方法,借助高密度分子标记遗传图谱IBM2 2008 neighbors,利用图谱映射和元分析的方法,对不同试验中定位的400个玉米产量及产量相关性状QTL进行了图谱整合,构建了玉米产量及产量相关性状QTL的综合图谱和一致性图谱。结果表明,玉米产量及产量相关性状QTL在10条染色体上呈非均匀分布,第1染色体上最多,第10染色体上最少;发掘出96个玉米产量及产量相关性状的"一致性"QTL;关联性较强的产量性状的QTL常集中在相同或相近的座位上。

Identification and fine mapping of quantitative trait loci （QTLs） for grain yield and its related traits in maize are very important for molecular breeding by design. In the past few decades, a wealth of QTLs mapping data for grain yield and its related traits in maize has been produced using molecular marker approaches. In order to unlock the full potential of the information contained in these independent experiments, four hundreds QTLs for grain yield and its related traits in maize, collected from different publications, were used to construct new QTL integrated map and consensus map using bioinformatics and meta-analysis methods with IBM2 2008 neighbors as reference. It showed that these QTLs were distributed on all 10 chromosomes unevenly, with the most on chromosome 1 and the least on chromosome 10. QTLs for ear length, cob diameter, kernel number per row, kernel weight and grain yield were mainly distributed on chromosome 1, while QTLs for ear row number on chromosome 9. Ninety-six “Consensus” QTLs for grain yield and its related traits were estimated, including 43 “Consensus” QTLs for kernel weight, 32 “Consensus” QTLs for grain yield, and 8, 5, 4, 3, 1 “Consensus” QTLs for ear diameter, ear row number, cob diameter, kernel number per row, ear length, respectively. QTLs with similar phenotype were clustered on the same or near locations. These results provide a good basis for studying genetic mechanism and molecular marker- assisted selection for grain yield and its related traits in maize