普通小麦(T.aestivum L.)不同作图群体抽穗期QTL分析

Detection of QTLs for Heading in Common Wheat (T.aestivum L.) Using Different Populations

【目的】对小麦抽穗期进行数量性状位点(QTL)分析。【方法】以旱选10号/鲁麦14和温麦6号/山红麦两个作图群体为材料,在大田及温室条件下,观察小麦抽穗期等性状。利用混合线性模型,进行QTL分析。【结果】抽穗期在两个作图群体中均呈现连续分布,表现为多基因控制的数量性状;共检测到9个QTL位点,分别位于染色体2D、3B(2个)、3D、4A、5B、6B、6D和7D上,对抽穗期的贡献率在3.97%～22.91%之间;有15组QTL位点之间存在基因互作效应,互作的加性效应大小范围为0.77～2.16 d,互作效应对性状的贡献率在4.35%～21.44%之间。【结论】抽穗期QTL的检测受环境影响较大;抽穗期QTL位点在染色体上的分布较多;不同染色体间则存在基因互作现象。

[ Objective ] The study looked at detection of quantitative trait loci （QTLs） for heading date of wheat. [ Method] Recombinant inbred lines （RIL） and doubled-haploid （DH） population derived from crosses of the wheat cultivars ＇Wenmai6＇ × ＇Shanhongmai＇ and ＇Hanxuan10＇בLumail4＇ respectively were used for QTL analysis. Data was collected for days-to-heading and was recorded in both field and greenhouse environments. The presence ofa QTL was declared at a significance threshold of p=0.005 by Mixed-model composite interval mapping using QTLMapperl.6. [Result] Nine QTLs located on chromosome 2D, 3B, 3D, 4A, 5B, 6B, 6D and 7D were detected and their individual effects ranged between 3.97% and 22.91% to the total phenotypic variation. Gene-interaction analysis indicated that there were gene-interactions between 15 QTL pairs with additive effects ranging from 0.77 to 2.16 days. [Conclusion] Detection of QTLs for heading data is sensitive to environment. QTLs of heading data spread around chromosomes, and gene-interaction occurs frequently.