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对精细定位某一特定性状位点来说,高密度遗传图谱是一个非常实用的工具。本研究以水稻品种V20B/CPSLO17组合衍生的150份重组自交家系作为作图群体,利用特定位点扩增长度测序(SLAF-seq)技术,一种基于下一代测序技术进行大规模开发SNP和基因型分析的高通量新策略,开发SLAF标签和构建水稻高密度遗传图谱。我们共检测到67 017个高质量的SLAF标签,其中多态性SLAF有15 853个,符合构建高质量遗传图谱使用要求的多态性SLAF标签有8 657个。最终成功构建了一个包含12个连锁群,8 602个上图标记,总图距为2 508.65 c M,标记间平均距离为0.29 c M的高密度遗传图谱,该图谱可用于重要农艺性状QTL定位。
For fine positioning of a particular trait locus, high-density genetic map is a very useful tool. In this study, 150 recombinant inbred families derived from the rice variety V20B / CPSLO17 were used as mapping populations. Based on the SLAF-seq technique, a SNP based on next-generation sequencing High-throughput new strategies for genotyping, developing SLAF tags and building high-density rice genetic maps. A total of 67 017 high-quality SLAF markers were detected, of which 15 853 were polymorphic SLAF. There were 8 657 polymorphic SLAF tags that met the requirements for constructing high-quality genetic maps. Finally, we successfully constructed a high-density genetic map containing 12 linkage groups with 8 602 upper markers, with a total distance of 2 508.65 cM and an average distance between markers of 0.29 cM, which can be used for QTL mapping of important agronomic traits .