Comparative research on QTL location for protein content by two_kinds of mapping methods | 2种作图法对大豆蛋白含量性状QTL定位的比较研究

中国人. 比较复合区间作图法（CIM）和完备区间作图法（ICIM）对大豆高蛋白含量性状QTL的定位效果, 总结2种方法进行QTL作图的优缺点，为QTL作图方法的选择及分子标记辅助选择培育高蛋白含量大豆品种研究提供参考。以高油大豆品种吉农18和高蛋白大豆品种吉育47杂交后获得的F2分离群体为材料，结合2年的分子数据和表型数据，采用CIM和ICIM法对大豆蛋白含量性状进行QTL定位。利用CIM和ICIM-ADD, 在连锁群12(B2+C1)和17（M）上共检测到了5个高蛋白QTL，其中ICIM-ADD检测到的QTL略多于CIM；由CIM在F2∶3家系和ICIM-ADD在F2代、F2∶3家系的检测结果可以看出，2种作图法在satt285～satt636标记区间内均检测到显著LOD，且QTL距第一个标记（satt285）的遗传距离≤5.0 cM，可认为此3个QTL为同一QTL，其贡献率分别为10.87%，17.09%和17.34%，说明该QTL的稳定性较好，可在进一步的高蛋白分子辅助育种中加以利用。2种作图法各有其优缺点，在实际应用中应根据分析对象综合运用、合理选择作图方法，以最大限度地提高QTL作图的精度和效率。对研究中所定位的SSR标记，特别是稳定标记可以在今后的大豆高蛋白分子标记辅助选择育种中加以利用。

英语. This paper summed up the advantages and disadvantages of Composite Interval Mapping and Inclusive Composite Interval Mapping by comparing and analysing the results of locating soybean protein content QTL, providing not only a reliable basis for QTL mapping methods for the future, but also a theoretical basis for cultivating high protein soybean varieties. Win-QTLCart 2.5 Composite Interval Mapping and QTL IciMapping v 2.2 Inclusive Composite Interval Mapping were used to locate high protein QTL by using F2 segregating population of high oil Jinong18 and high proteinJiyu 47 as material with two years of molecular data and phenotypic data. The research detected five high-protein QTLs in the linkage group 12(B2+C1) and linkage group 17(M) by using CIM and ICIM-ADD, of which ICIM-ADD detected QTL slightly more than CIM. The location results of CIM in the F2∶3 generation and ICIM-ADD in the F2 and F2∶3 generations showed that there was a significant LOD within satt285-satt636. Because the three QTL positions did not exceed 5cM, so the three QTLs were the same QTL with good stability QTL. Their contribution rates were 10.87%, 17.09% and 17.34%. The two mapping methods have their own advantages and disadvantages. Therefore, the user should choose the mapping method base on an analysis of the practical application of the integrated use of the object. It is possible to maximize the accuracy and efficiency of QTL mapping. In addition, studies have targeted SSR markers, especially stability markers could be applied in the future of soybean protein molecular marker-assisted breeding.