机构地区:[1]西北农林科技大学农学院,陕西杨凌712100 [2]西安市气象局,陕西西安710016
出 处:《农业生物技术学报》2014年第5期561-571,共11页Journal of Agricultural Biotechnology
基 金:国家高技术研究发展计划(863)课题(No.2011AA100501);陕西省农业厅小麦种质资源保护项目;西北农林科技大学唐仲英植物育种基金
摘 要:小麦籽粒品质相关性状属于数量性状,由多基因控制。为了探索小麦(Triticum aestivum L.)品质相关性状的遗传基础,以波兰小麦(Triticum polonicum L.)品系XN555×普通小麦品系中13产生的重组自交系(recombinant inbred lines,RILs)群体(包含99个F10株系)为研究材料,采用SSR(simple sequence repeat)分子标记技术构建遗传连锁图谱;根据2012年和2013年的表型数据,采用完备区间作图法(inclusive composite interval mapping,ICIM)定位籽粒硬度、籽粒蛋白质含量、面粉蛋白质含量和湿面筋含量等品质性状QTL。获得了由241个SSR标记位点组成的A、B染色体组的14个连锁群图谱,覆盖基因组1 338.92 cM,标记间的平均遗传距离为5.56 cM。共定位24个品质性状QTL,分布在1A、3A、4A、5A、6A、1B、2B、3B和5B等9条染色体上。其中,籽粒蛋白质含量和面粉蛋白质含量各7个QTL,湿面筋含量和籽粒硬度各5个QTL,4个性状的单个QTL可分别解释表型变异的8.30%~29.69%、6.90%~29.50%、10.10%~18.43%和7.93%~30.49%。两年都在6A染色体的Xbarc104~Xcfa2114标记区间内与Xbarc104相距1.2 cM处检测到湿面筋含量QTL,并于2012年和2013年分别检测出了面粉蛋白质含量和籽粒蛋白质含量的QTL。本研究为利用波兰小麦改良普通小麦以及在小麦品质改良中应用分子标记辅助选择提供依据。The characteristics related grain quality in Triticum aestivum L. are quantitative traits controlled by polygenic. To investigate the genetic basis of Triticum aestivum L. quality traits, the QTLs for grain hardness(GH), grain protein content(GPC), flour protein content(FPC) and wet gluten content(WGC) were analyzed in a population which consisted of 99 F10 recombinant inbred lines (RILs) derived from the cross Triticum polonicum L. line XN555 and T. aestivum L. line Zhong 13. The results showed that the differences between line XN555 and Zhong 13 about GH, GPC and FPC were highly significant difference(P〈0.01) in 2012 and 2013. WGC had highly significant difference(P〈0.01) between line XN555 and Zhong 13 in 2012 and significant difference(P〈0.05) in 2013. The analysis of variance (ANOVA) indicated that there were highly significant differences among RILs about GPC, FPC and WGC and significant differences about GH both in 2012 and 2013. Based on the linkage map constructed with single sequence repeat (SSR) makers, the software Icimapping v3.2 and the inclusive composite interval mapping were used to identify QTL for quality related traits. Two hundred and forty one markers were located to the 14 linkage groups including genome A and B. This map spanned 1 338.92 cM with the average distance of 5.56 cM between any 2 markers. The QTLs for quality related traits, i.e. GH, GPC, FPC and WGC , were detected based on the phenotypic in 2012 and 2013. A total of 24 additive QTLs with the genetic distance from 0.00 to 5.70 cM away from the nearest markers were detected on 9 chromosomes, including 1A, 3A, 4A, 5A, 6A, 1B, 2B, 3B and 5B. Five QTLs for GH located on chromosomes 1A, 1B and 5A, respectively. Single QTL for GH could account for phenotypic variations from 7.93% to 30.49%. Among these, the QTLs on 1A and 1B were identified both in 2012 and 2013. Seven QTLs for GPC were located on chromosomes 6A, 1B, 2B, 3B and 5B, respectively. Single QTL for GPC could account for phenot
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