基于高通量SNP标记和关联分析整合分析油菜磷高效QTL及候选基因研究

项目名称： 基于高通量SNP标记和关联分析整合分析油菜磷高效QTL及候选基因研究

项目编号： No.31201672

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 植物保护学、园艺学与植物营养学

项目作者： 丁广大

作者单位： 华中农业大学

项目金额： 23万元

中文摘要： 磷是植物生长发育所必需的大量营养元素。植物磷营养高效为复杂的数量性状，受多基因的调控。油菜是我国重要的油料作物，吸收利用土壤磷的能力较强，但是需磷较多，对缺磷敏感。本项目在前期油菜磷高效QTL定位的基础上，以不同磷效率种质及其发展的永久作图群体为材料，利用全基因组SNP标记图谱整合分析苗期磷高效QTL。同时以油菜自然变异群体为材料，开展基于高通量SNP标记与苗期表型的全基因组关联分析。二者相互验证，鉴定油菜磷高效的主要QTL/位点。在此基础上，通过生物信息学分析预测磷高效QTL区间的重要候选基因，然后利用候选基因关联分析方法鉴定候选基因的功能。最终获得1-2个重要的油菜磷高效候选基因，通过基因结构、序列分析、时空表达差异、转化拟南芥等研究初步探明基因的功能，揭示油菜磷高效的遗传机理，为油菜及其它复杂基因组作物磷营养性状的遗传研究提供理论基础和研究策略。

中文关键词： 甘蓝型油菜；高密度遗传图谱；磷高效QTL；全基因组关联分析；候选基因

英文摘要： Phosphorus (P) is an essential macronutrient for plants. Traits for P efficiency in plants are often controlled by multiple genes scattered throughout the genome. Brassica napus is an important oil crop in China, which has high yield and high P requirement but is sensitive to P deficiency in environment. However，Brassica napus has a developed root system for strong P-uptake ability from soil without proteiod root and mycorrhiza. In our previous research, quantitative trait loci (QTLs) of P efficiency in B. napus was conducted using two permanent mapping populations. In the present project, we use a set of newly developed single nucleotide polymorphism (SNP) markers distributed to the whole genome to constructed a high-density genetic map, and then use the map to perform a genome-wide QTL detection for P efficiency in B. napus. Genome-wide association mapping by high throughput SNP marker is aslo to be used to confirm QTLs/loci identified from both mapping populations. Based on the sequence information of molecular markers and the geome sequence of B. rapa, B. oleracea and B. napus, important candidate genes are to be predicted in the QTL intervals controlling P efficiency in B. napus. Candidate-gene association mapping is to be employed to validate main-effect genes for P efficiency in B. napus. Finally, 1-2 can

英文关键词： Brassica napus；high-density genetic map；Genome-wide association study；phosphorus-efficient QTL；candidate gene