基于SLAF-seq技术的花生高密度遗传图谱构建及北方根结线虫病抗性QTL定位

项目名称： 基于SLAF-seq技术的花生高密度遗传图谱构建及北方根结线虫病抗性QTL定位

项目编号： No.31471533

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 食品科学、农学基础与作物学

项目作者： 袁美

作者单位： 山东省花生研究所

项目金额： 84万元

中文摘要： 根结线虫病是影响我国花生生产的主要病害之一,而培育和种植抗病品种是防治根结线虫病的有效途径之一。栽培种花生狭窄的遗传基础和复杂的基因组已经成为花生分子育种的瓶颈。特异性长度扩增片段测序技术（SLAF-seq）的出现使得花生SNP标记开发和高密度遗传连锁图的构建成为可能。本项目拟以抗/感北方根结线虫病性材料为作图亲本，构建F2群体、重组自交系（RIL）群体、剩余杂合系（RHL）群体，利用SSR标记及SLAF-seq开发的SNP标记构建花生栽培品种的高密度遗传图谱，利用RHL群体开展抗性QTL的精细定位，结合集团分离分析法（BSA）寻找与北方根结线虫病抗性基因紧密连锁的分子标记。研究结果对开展花生重要性状的基因定位或QTL分析、花生比较基因组学和分子标记辅助根结线虫病抗病育种和线虫病抗性基因的克隆均具有重要意义。

中文关键词： 花生；北方根结线虫；抗性基因；QTL定位；SLAF-seq；测序技术

英文摘要： Root-Knot Nematode(RKN) disease is one of main diseases affecting peanut production in China. one of effective pathways controlling RKN disease is to develop and grow RKN resistant varieties.Narrow genetic base and complex amd large genome size in cultivated peanet is a bottleneck for molecular breeding.The development of SLAF-seq(Specific Locus Amplified Fragment Sequencing) technology provide a powerful and cost-effective approach for dicovery of single nucleotide polymorphism(SNP) and construction of high-density genetic linkage map in peanut. In this project, one F2 population and one RIL(recombinant inbred line) population and one RHL(Residual Heterozygous Line) population will be developed from one cross between two mapping parents with RKN resistance and susceptiblility. SSR marker and SNP marker developed by SLAF-seq will be used to construct high-density genetic linkage map of cultivated peanut. Based on this map, fine mapping of QTLs related to RKN resistance will be carried out using RHL population.Markers closely related to RKN resistance will be identified usin BSA analysis.The results will be very helpful for mapping of genes/QTLs associated with important traits, peanut comparative genomics, marker-assisted selection for developing RKN resistant cultivar and cloning of RKN resistance gene in peanut.

英文关键词： Arachis hypogaea L.;Northern Root-Knot Nematode disease;Resistance gene;QTL mapping;SLAF-seq technology