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作 者:刘硕[1,2] 郭勇[1] 罗玲[2] 邱丽娟[1]
机构地区:[1]中国农业科学院作物科学研究所/农作物基因资源与遗传改良国家重大科学工程,北京100081 [2]南昌大学生命科学学院,南昌330031
出 处:《植物遗传资源学报》2014年第1期137-143,共7页Journal of Plant Genetic Resources
基 金:国家自然科学基金项目(31271753和31071446);国家高科技研究发展计划("863"计划)(2012AA101106);国家科技支撑计划(2013BAD01B03)
摘 要:倒伏性是影响大豆产量的重要因素,发掘与大豆倒伏相关的基因对于培育抗倒伏优良高产大豆品种具有重要意义。目前利用不同群体所构建的遗传图谱已经定位了大量与大豆倒伏性相关的QTLs。本研究在对已报道的QTLs进行物理整合的基础上,选择元分析方法将这些倒伏性相关的QTLs进一步整合,鉴定出位于C2(6号染色体)、F(13号染色体)、L(19号染色体)这3个连锁群上重复次数较多的QTL区间6个。选用基于统计学原理的Overview方法进行优化,获得了这些QTL在各个连锁群上的有效遗传位置,这些QTL的置信区间长度最小可缩至0.2 cM。通过在这些区间内进一步筛选,获得一个稳定性较好的标记Satt277。本研究可为大豆抗倒伏基因发掘及分子标记辅助选择育种提供理论依据。Lodging is one of important factors influencing the yield of soybean, therefore,identification genes/ loci related to lodging is of great importance for breeding high-yield varieties in soybean. Up to now,lots of QTLs related to lodging have been identified based on the construction of various genetic linkage maps using different segregation population. In this study,recta-analysis was used to integrate QTLs published in the references based on the physical integration of these QTLsl The results showed that six QTL regions located on three linkage groups(LG C2, F,and L)had the most repetitive times in the integration analysis. Overview method was also used to optimize the genetic position of each integrated QTL on different linkage groups. The valid QTL regions were all narrowed down and some of them even narrowed to the 0.2 cM. Finally, an SSR marker Satt277 was selected according to the screening of these valid QTL regions. These results could be used for gene isolation and marker-assisted breeding of lodging resistant varieties in soybean.
关 键 词:大豆 倒伏性 物理整合 元分析 Overview分析
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