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Mapping QTLs for protein and oil content in soybean by removing the influence of related traits in a four-way recombinant inbred line population
The Journal of Agricultural Science ( IF 2 ) Pub Date : 2020-05-06 , DOI: 10.1017/s0021859620000040
Xiyu Li , Hong Xue , Kaixin Zhang , Wenbin Li , Yanlong Fang , Zhongying Qi , Yue Wang , Xiaocui Tian , Jie Song , Wenxia Li , Hailong Ning

Protein content (PC) and oil content (OC) are important breeding traits of soybean [Glycine max(L.) Merr.]. Quantitative trait locus (QTL) mapping for PC and OC is important for molecular breeding in soybean; however, the negative correlation between PC and OC influences the accuracy of QTL mapping. In the current study, a four-way recombinant inbred lines (FW-RILs) population comprising 160 lines derived from the cross (Kenfeng14 × Kenfeng15) × (Heinong48 × Kenfeng19) was planted in eight different environments and PC and OC measured. Conditional and unconditional QTL analyses were carried out by interval mapping (IM) and inclusive complete IM based on linkage maps of 275 simple sequences repeat markers in a FW-RILs population. This analysis revealed 59 unconditional QTLs and 52 conditional QTLs among the FW-RILs. An analysis of additive effects indicated that the effects of 13 protein QTLs were not related to OC, whereas OC affected the expression of 13 and eight QTLs either partially or completely, respectively. Eight QTLs affecting OC were not influenced by PC, whereas six and 26 QTLs were partially and fully affected by PC, respectively. Among the QTLs detected in the current study, two protein QTLs and five oil QTLs had not been previously reported. These findings will facilitate marker-assisted selection and molecular breeding of soybean.

中文翻译:

通过去除四向重组自交系群体中相关性状的影响绘制大豆蛋白质和油含量的QTL

蛋白质含量(PC)和含油量(OC)是大豆重要的育种性状。最大甘氨酸(L.) Merr.]。PC 和 OC 的数量性状位点 (QTL) 作图对大豆分子育种具有重要意义;然而,PC和OC之间的负相关影响了QTL作图的准确性。在目前的研究中,将一个四向重组自交系(FW-RILs)群体包含来自杂交(Kenfeng14×Kenfeng15)×(Heinong48×Kenfeng19)的160个系,种植在八种不同的环境中,并测量PC和OC。基于 FW-RIL 群体中 275 个简单序列重复标记的连锁图谱,通过区间作图 (IM) 和包容性完整 IM 进行条件和无条件 QTL 分析。该分析揭示了 FW-RIL 中的 59 个无条件 QTL 和 52 个条件 QTL。加性效应分析表明 13 个蛋白质 QTL 的效应与 OC 无关,而OC分别部分或完全影响13个和8个QTL的表达。影响 OC 的 8 个 QTL 不受 PC 影响,而 6 个和 26 个 QTL 分别受 PC 部分和完全影响。在当前研究中检测到的 QTL 中,两个蛋白质 QTL 和五个油 QTL 以前没有报道过。这些发现将促进大豆的标记辅助选择和分子育种。
更新日期:2020-05-06
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