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High-Density Genetic Linkage Map Construction and QTL Mapping of Grain Shape and Size in the Wheat Population Yanda1817 × Beinong6

机译:小麦群体Yanda1817×Beinong6的高密度遗传连锁图谱构建和粒形和大小的QTL定位

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摘要

High-density genetic linkage maps are necessary for precisely mapping quantitative trait loci (QTLs) controlling grain shape and size in wheat. By applying the Infinium iSelect 9K SNP assay, we have constructed a high-density genetic linkage map with 269 F 8 recombinant inbred lines (RILs) developed between a Chinese cornerstone wheat breeding parental line Yanda1817 and a high-yielding line Beinong6. The map contains 2431 SNPs and 128 SSR & EST-SSR markers in a total coverage of 3213.2 cM with an average interval of 1.26 cM per marker. Eighty-eight QTLs for thousand-grain weight (TGW), grain length (GL), grain width (GW) and grain thickness (GT) were detected in nine ecological environments (Beijing, Shijiazhuang and Kaifeng) during five years between 2010–2014 by inclusive composite interval mapping (ICIM) (LOD≥2.5). Among which, 17 QTLs for TGW were mapped on chromosomes 1A, 1B, 2A, 2B, 3A, 3B, 3D, 4A, 4D, 5A, 5B and 6B with phenotypic variations ranging from 2.62% to 12.08%. Four stable QTLs for TGW could be detected in five and seven environments, respectively. Thirty-two QTLs for GL were mapped on chromosomes 1B, 1D, 2A, 2B, 2D, 3B, 3D, 4A, 4B, 4D, 5A, 5B, 6B, 7A and 7B, with phenotypic variations ranging from 2.62% to 44.39%. QGl.cau-2A.2 can be detected in all the environments with the largest phenotypic variations, indicating that it is a major and stable QTL. For GW, 12 QTLs were identified with phenotypic variations range from 3.69% to 12.30%. We found 27 QTLs for GT with phenotypic variations ranged from 2.55% to 36.42%. In particular, QTL QGt.cau-5A.1 with phenotypic variations of 6.82–23.59% was detected in all the nine environments. Moreover, pleiotropic effects were detected for several QTL loci responsible for grain shape and size that could serve as target regions for fine mapping and marker assisted selection in wheat breeding programs.
机译:高密度遗传连锁图谱对于精确绘制控制小麦籽粒形状和大小的数量性状基因座(QTL)是必要的。通过应用Infinium iSelect 9K SNP分析,我们构建了一个高密度遗传连锁图谱,其中包含在中国基石小麦育种亲本品系Yanda1817与高产品系Beinong6之间开发的269 F 8重组自交系(RIL)。该图包含2431个SNP和128个SSR和EST-SSR标记,总覆盖范围为3213.2 cM,每个标记的平均间隔为1.26 cM。在2010-2014年的五年中,在九个生态环境(北京,石家庄和开封)中检测到88个千粒重(TGW),籽粒长度(GL),籽粒宽度(GW)和籽粒厚度(GT)的QTL。通过包含性复合间隔映射(ICIM)(LOD≥2.5)。其中,TGW的17个QTL位于1A,1B,2A,2B,3A,3B,3D,4A,4D,5A,5B和6B染色体上,表型变异范围为2.62%至12.08%。可以分别在五个和七个环境中检测到四个用于TGW的稳定QTL。 GL的32个QTL定位在1B,1D,2A,2B,2D,3B,3D,4A,4B,4D,5A,5B,6B,7A和7B染色体上,表型变异范围为2.62%至44.39% 。可以在所有表​​型变异最大的环境中检测到QG1.cau-2A.2,这表明它是主要且稳定的QTL。对于GW,鉴定出12个QTL,其表型变异范围为3.69%至12.30%。我们发现GT的27个QTL具有表型变异,范围从2.55%到36.42%。特别是,在所有九种环境中均检测到QTL QGt.cau-5A.1,其表型变异为6.82–23.59%。此外,检测到了几个负责粒形和大小的QTL位点的多效性,这些位点可以作为小麦育种计划中精细作图和标记辅助选择的目标区域。

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