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葡萄无核性状的SSR新分子标记开发及应用

Development and Application of SSR New Molecular Marker for Seedless Traits in Grape

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【作者】 马亚茹冯建灿刘崇怀樊秀彩孙海生姜建福张颖

【Author】 MA YaRu;FENG JianCan;LIU ChongHuai;FAN XiuCai;SUN HaiSheng;JIANG JianFu;ZHANG Ying;Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences;College of Horticulture,Henan Agricultural University;

【机构】 中国农业科学院郑州果树研究所河南农业大学园艺学院

【摘要】 【目的】开发葡萄无核性状的SSR新分子标记,对葡萄杂种后代进行早期无核性状鉴定,为分子标记辅助育种奠定基础。【方法】对母本‘红地球’与父本‘森田尼无核’及F1代杂交群体的133份葡萄材料进行RAD-seq,将测序结果比对到参考基因组上;运用SAMtools软件生成Ca SFS软件所需的pileup和glf文件,过滤获得亲本之间的有效SNP集;采用窗口滑动的方法,确定每个窗口的基因型,选择以每15个SNP为一个窗口,每次滑动一个SNP,得到每个个体的基因型并生成bin图;对生成的bin图采用拟测交的方式利用Joinmap软件进行连锁分析,构建‘红地球’与‘森田尼无核’遗传连锁图谱;用Window QTLCartographer2.0软件进行QTL定位,在定位区间通过Perl程序语言找到符合SSR特征序列的35个SSR分子标记,用Primer premier5.0软件设计35个SSR分子标记引物对,通过HRM技术筛选亲本之间在无核性状上存在差异的SSR分子标记,并在131株F1代杂交群体及65个葡萄品种的自然群体中检测无核分型正确率、无核检测率、无核保持率。【结果】在‘红地球’与‘森田尼无核’构建的遗传连锁图谱上,将葡萄无核性状定位在chr18号染色体上,定位区间26 835 846—26 960 426,对无核的贡献率为77.9%,LOD阈值为26.3。亲本之间在无核性状上存在差异的SSR分子标记为Vv SD10,其在111 bp等位点能对葡萄无核性状进行鉴定,利用分子标记Vv SD10上的111 bp等位点通过HRM技术在葡萄F1代杂交群体及自然群体中进行葡萄无核性状的鉴定。结果表明,分子标记Vv SD10在F1代杂交群体及自然群体中的无核分型正确率分别为97%、94%,其无核检测率均为56%,无核保持率分别为77%、85%。【结论】分子标记Vv SD10在遗传群体及自然群体中的无核分型均能提供较高的准确信息,为无核葡萄的分子标记辅助育种奠定了基础。

【Abstract】 【Objective】The objective of this study is to develop a new SSR molecular marker for seedless traits in grape, and to identify the early seedless traits of grape hybrids, and to lay the foundation for molecular marker assisted selection breeding. 【Method】RAD-seq was carried out in 133 grape materials including the female parent ‘Red Globe’, the male parent ‘Centennial Seedless’ and their F1 hybrids, and the sequencing results were compared to the reference genome. SAMtools software was used to generate Ca SFS software required for pileup and GLF files, and the effective SNP sets between parents were obtained by filtration. A window sliding method was used to determine the genotype of each window, and selected one window per 15 SNP and slided one SNP at a time. The genotype of each individual was obtained and the bin generated. Linkage analysis was carried out based onJoinmap software for generated bin, and genetic linkage map was constructed between ‘Red Globe’ and ‘Centennial Seedless’. The QTL loci was mapped using Window QTLCartographer2.0 software. 35 SSR molecular markers consistent with the SSR characteristic sequence were identified by Perl programming language in the QTL mapping interval, and then 35 pairs of SSR molecular marker primers were designed. The molecular marker was screened in the differences with the seedless traits between parents by HRM technology, and the accuracy of seedless typing, the rate of seedless detection and the rate of seedless holding were detected in 131 F1 hybrid population and natural population including 65 grape varieties.【Result】On the genetic linkage map between ‘Red Globe’ and ‘Centennial Seedless’, the seedless traits of grape were mapped on chromosome 18, and the mapping interval was 26 835 846-26 960 426, and the contribution rate to seedless was 77.9%, and the LOD threshold was 26.3. The molecular marker Vv SD10 was screened in the differences with the seedless traits between parents, and there was a 111 bp loci in seedless traits of grape. Identification of seedless traits in grape F1 hybrid population and natural population by HRM technology using 111 bp loci on Vv SD10 marker, the results indicated that in F1 hybrid population and natural population, the correct typing rate of molecular marker Vv SD10 was 97% and 94%, respectively, and the rate of seedless detection of both populations was 56%, the rate of seedless holding was 77% and 85%, respectively. 【Conclusion】Seedless typing in grape by molecular marker Vv SD10 could provide high accurate information in both genetic and natural populations and laid the foundation for molecular marker assisted breeding program in seedless grape.

【基金】 国家葡萄产业技术体系(CARS-29-yc-1);中国农业科学院科技创新工程(CAAS-ASTIP-2017-ZFRI-02);果树(桃、枣、苹果、葡萄等)优异种质资源创新和高效育种体系构建(151100110900)
  • 【文献出处】 中国农业科学 ,Scientia Agricultura Sinica , 编辑部邮箱 ,2018年13期
  • 【分类号】S663.1
  • 【被引频次】8
  • 【下载频次】484
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