摘要
挖掘玉米(Zea mays)籽粒品质性状相关QTL可为玉米育种实践提供理论参考。本研究以玉米优良自交系许178和K12为亲本杂交衍生的包含150个家系的玉米重组自交系(recombinant inbred lines,RILs)群体为实验材料,对3年共7个环境的各家系玉米籽粒蛋白质含量、淀粉含量、油分含量共3个品质性状进行表型鉴定,使用最佳线性无偏预测法(best linear unbiased prediction, BLUP),结合表型值估计各家系各性状的BLUP值,利用WinQTLcart2.5的复合区间作图法(composite interval mapping, CIM),以似然函数比值对数值(logarithm viscosity odds, LOD)为2.5对目的性状进行全基因组QTLs扫描。经QTL定位分析,共挖掘到20个QTL位点,包括9个蛋白质含量QTL、6个淀粉含量QTL、5个油分含量QTL,分布于1、2、4、5、6和10号染色体,单个QTL可解释表型变异为2.3%~15.7%,LOD值介于2.52~6.50。位于染色体Bin4.07/4.08区间的QTL可在4个环境(2016杨凌, 2016榆林, 2014杨凌, 2014葫芦岛)中以及利用BLUP值检测到;位于染色体Bin6.05/6.06的QTL可在4种环境中检测到;位于染色体Bin5.07的2个QTL可在3种环境中检测到。本研究检测到的20个玉米籽粒品质相关的QTL中,位于4号染色体上umc1194~umc2384区间的QTL,可解释10.3%~15.7%的表型变异,在多种环境中均能检测到,有较高的环境稳定性,是控制玉米籽粒蛋白质含量的主效QTL,有望在玉米品质遗传改良上加以应用。本研究为玉米的分子辅助育种提供了基础资料。
Mining the quantitative trait loci(QTL) related to the maize(Zea mays) grain quality traits can provide the theoretical basis for molecular breeding. In this study, the population containing 150 recombinant inbred lines( RILs) derived from Xu178×K12 were evaluated for the content of the protein, starch and oil for3 years under 7 different environments. The best linear unbiased prediction method(BULP) was used to estimate the BLUP value of each trait with the phenotypic value. Composite interval mapping method(CIM)of WinQTLcart 2.5 were using to scanning the QTLs carried out with logarithm viscosity odds(LOD) is 2.5for 3 quality traits. In total of 20 QTLs were identified distributed chromosome 1, 2, 4, 5, 6 and 10 according to the QTLs analysis. Nine QTLs for protein were identified, six QTLs for starch were identified and 5 QTLs for oil were identified. The QTLs explained 2.3%~15.7% of phenotypic variation. And the LOD values ranged from 2.52 to 6.50. The QTL at Bin4.07/4.08 was detected under 4 environments and BLUP value. And QTL in Bin6.05/6.06 was detected under 4 environments. As well as 2 QTLs located in Bin5.07 were detected in 3 environments. In this study, the QTL mapped in the marker intervals umc1194~umc2384 on chromosome could detected in multiple environments. The QTL explained 10.3%~15.7% of phenotypic variation. This stable QTL was considered to be major QTL for maize protein content, which was expected that this QTL could be applied on the genetic improvement of maize grain quality. The experiment of QTL analysis associated quality traits of maize grain provides basic data for molecular breeding of maize.
引文
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