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以成熟期Ⅴ组的Essex为母本,Ⅱ组的ZDD2315为父本和轮回亲本,创建114个单株的BC1F1群体;采用250个SSR标记,通过MAPMAKER3.0构建遗传图谱,覆盖大豆基因组2963.5 cM.采用WinQTLCart 2.5,IciMapping 2.0,MapQTL 5.0以及QTLnetwork 2.0 共4种软件的6种遗传统计模型对BC1F3家系的开花期表型数据,共检测到9个控制开花期的QTL.6个能被至少两种模型检测到;3个只被一种模型检测到,其中Flwdt7定位在C2 连锁群的Satt643和Sat_213之间,置信距33.8 cM,贡献率11.0%.为验证此结果,从BC1F5 家系中选择该区间附近标记杂合单株,经自交建立5个剩余杂合系(RHL),分别在7个位点上有分离.在检测遗传背景相对一致后将分离位点相同的合并,采用JoinMap 3.0构建该区段子图谱.用QTLnetwork 2.0 NWIM将Flwdt7定位在邻区间Satt277~Satt489,离两侧标记的距离分别为1.40和0.45 cM,置信距缩短为2.7 cM,贡献率上升为36.8%.再用RHL 标记等位变异分组差异显著性分析和目标区间近等基因系分析等方法验证了该结果.多种模型全基因组QTL初扫描基础上的目标区段剩余杂合系定位是一种有效的精细定位策略.
In the mature stage Ⅴ Essex as the female parent, group Ⅱ ZDD2315 as the paternal and reincarnated parents to create 114 individuals of the BC1F1 population; using 250 SSR markers, MAPMAKER3.0 genetic map, covering the soybean genome 2963.5 cM Six flowering phenotypic data of BC1F3 family were analyzed by using six genetic statistical models of four kinds of software: WinQTLCart 2.5, IciMapping 2.0, MapQTL 5.0 and QTLnetwork 2.0. Nine of the QTLs controlling flowering stage were detected by at least two Three models were detected by only one model, in which Flwdt7 was located between Satt643 and Sat_213 of C2 linkage group, with a confidence interval of 33.8 cM, with a contribution rate of 11.0%. To test this result, Heterozygous plants were identified in the vicinity of the interval, and five remaining hybrids (RHL) were established by selfing, which were segregated at seven loci respectively.When the genetic background was relatively consistent, the same combination of segregation sites was obtained using JoinMap 3.0 The QTLnetwork 2.0 NWIM was used to map Flwdt7 between Satt277 and Satt489 in the neighbor interval, with distance of 1.40 and 0.45 cM respectively, and the confidence interval shortened to 2.7 cM and the contribution rate increased to 36.8% RHL marker allelic variation Analysis of gene-based analysis of significant difference between the target range and the like near the verified result. The remaining hybrid-based positioning target zones on the basis of various model First scanning the whole genome QTL fine mapping is an effective strategy.