| 玉米产量及产量相关性状QTL的图谱整合 |
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| 引用本文： | 王帮太,吴建宇,丁俊强,席章营.玉米产量及产量相关性状QTL的图谱整合[J].作物学报,2009,35(10):1836-1843. |
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| 作者姓名： | 王帮太 吴建宇 丁俊强 席章营 |
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| 作者单位： | 河南农业大学农学院，河南郑州450002 |
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| 基金项目： | 国家自然科学基金项目，国家重点基础研究计划(973计划)项目 |
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| 摘 要： | 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。
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| 关 键 词： | 玉米 产量及产量相关性状 QTL 一致性图谱 元分析 |
| 收稿时间： | 2008-11-11 |
Map Integration of QTLs for Grain Yield and Its Related Traits in Maize |
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| WANG Bang-Tai,WU Jian-Yu,DING Jun-Qiang,XI Zhang-Ying.Map Integration of QTLs for Grain Yield and Its Related Traits in Maize[J].Acta Agronomica Sinica,2009,35(10):1836-1843. |
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| Authors: | WANG Bang-Tai WU Jian-Yu DING Jun-Qiang XI Zhang-Ying |
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| Institution: | College of Agronomy,Henan Agricultural University,Zhengzhou 450002,China |
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| Abstract: | 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 |
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| Keywords: | QTL |
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