QTL Location and Epistatic Effect Analysis of 100-Seed Weight Using Wild Soybean (Glycine soja Sieb. & Zucc.) Chromosome Segment Substitution Lines.
QTL Location and Epistatic Effect Analysis of 100-Seed Weight Using Wild Soybean (Glycine soja Sieb. & Zucc.) Chromosome Segment Substitution Lines.
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野生大豆 (Glycine soja Sieb.) 百粒重的 QTL 定位及上位效应分析
DOI：
10.1371/journal.pone.0149380
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
Chen Q
中科院分区：
文献类型：
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作者：
Xin D;Qi Z;Jiang H;Hu Z;Zhu R;Hu J;Han H;Hu G;Liu C;Chen Q
提高大豆（Glycine max L. Merrill）产量是大豆育种的主要目标。百粒重是大豆产量的关键因素。为了促进数量性状的遗传分析并提高大豆标记辅助育种的准确性，开发了由 194 个染色体片段替换系 (CSSL) 组成的有价值的作图群体。在这些品系中，中国品种绥农 14 号的不同染色体片段被替换到野生大豆 (Glycine soja Sieb. & Zucc.) ZYD00006 的遗传背景中。基于这些 CSSL，使用 121 个简单序列重复 (SSR) 标记生成了覆盖整个基因组的遗传图谱。在数量性状基因座（QTL）分析中，2011年和2012年鉴定了100粒重的12个主效应QTL（qSW-B1-1/2/3、qSW-D1b-1/2、qSW-D2-1/2、qSW-G-1/2/3、qSW-M-2和qSW-N-2）。分析了标记之间成对相互作用的上位效应2011年和2012年。结果清楚地表明，这些 CSSL 可用于识别 QTL，并且上位分析能够检测对 100 颗种子重量具有重要上位效应的多个位点。因此，我们确定了对于提高大豆百粒重有价值的基因座。这些结果为确定感兴趣基因的精确位置以及设计针对大豆百粒重的克隆和标记辅助选择育种策略提供了宝贵的基础。
Increasing the yield of soybean (Glycine max L. Merrill) is a main aim of soybean breeding. The 100-seed weight is a critical factor for soybean yield. To facilitate genetic analysis of quantitative traits and to improve the accuracy of marker-assisted breeding in soybean, a valuable mapping population consisting of 194 chromosome segment substitution lines (CSSLs) was developed. In these lines, different chromosomal segments of the Chinese cultivar Suinong 14 were substituted into the genetic background of wild soybean (Glycine soja Sieb. & Zucc.) ZYD00006. Based on these CSSLs, a genetic map covering the full genome was generated using 121 simple sequence repeat (SSR) markers. In the quantitative trait loci (QTL) analysis, twelve main effect QTLs (qSW-B1-1/2/3, qSW-D1b-1/2, qSW-D2-1/2, qSW-G-1/2/3, qSW-M-2 and qSW-N-2) underlying 100-seed weight were identified in 2011 and 2012. The epistatic effects of pairwise interactions between markers were analyzed in 2011 and 2012. The results clearly demonstrated that these CSSLs could be used to identify QTLs, and that an epistatic analysis was able to detect several sites with important epistatic effects on 100-seed weight. Thus, we identified loci that will be valuable for improving soybean 100-seed weight. These results provide a valuable foundation for identifying the precise location of genes of interest, and for designing cloning and marker-assisted selection breeding strategies targeting the 100-seed weight of soybean.