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作 者:苗兴芬[1,2] 朱命喜[1] 徐文平[2] 丁俊杰[3] 于凤瑶 于永梅[2] 杜升伟[1] 刘春燕 陈庆山[1,5] 胡国华[1,5]
机构地区:[1]东北农业大学农学院,黑龙江哈尔滨150030 [2]黑龙江农业职业技术学院,黑龙江佳木斯154007 [3]黑龙江省农业科学院合江分院,黑龙江佳木斯154007 [4]黑龙江省红兴隆科研所,黑龙江友谊155811 [5]黑龙江农垦科研育种中心,黑龙江哈尔滨150090
出 处:《作物学报》2010年第9期1498-1505,共8页Acta Agronomica Sinica
基 金:国家转基因生物新品种培育重大专项“大豆导入系构建及有利隐蔽基因挖掘”(2009ZX08009-013B);国家转基因专项重点项目“多抗、高蛋白、高油转基因大豆种质创制”(2009ZX08004-009B);黑龙江省教育厅项目(115350033)资助
摘 要:利用Charleston(♀)×东农594(♂)的F14和F15代永久自交系群体154个单株后代,在2年3点条件下用气相色谱法测得其籽粒5种脂肪酸的含量,利用Win QTL Cartographer2.5复合区间作图法(CIM)进行QTL分析。结果共检测到47个相关的QTL,分布在13个连锁群上。多年多点同时检测到的QTL共有15个,其中控制软脂酸性状的2个,包括qPal-C2-2和qPal-A1-1;控制硬脂酸性状的4个,包括qSt-B1-1、qSt-B1-2、qSt-D1a-1和qSt-C2-1;控制油酸性状的3个,包括qOle-B2-1、qOle-G-1和qOle-H-1;控制亚油酸性状的有2个,包括qLin-C2-1和qLin-H-1;控制亚麻酸性状的4个,包括qLino-B1-1、qLino-C2-1、qLino-D1b-1和qLino-J-1。这些QTL的一致性较高,为特异脂肪酸含量标记辅助育种奠定了基础。大豆脂肪酸含量的主效QTL数量不多,效应大的不多,可能还受许多未能检测出来的微效基因控制。Soybean, Glycine max (L.) Merr., is one of the main plant oil sources. Most researches have focused on the improvement of oil content. However, improving fatty acid composition is the main aspect of soybean breeding now. This study aimed at mapping QTLs conferring fatty acids contents in soybean on the genetic map which had been constructed in our laboratory to provide a reference of soybean oil quality breeding. Five kinds of fatty acid contents of 154 F14 and F15 lines devised from a cross of Charleston (♀) × Dongnong 594 (♂) were measured by GC at three locations in two years. The QTLs of fatty acids contents were analyzed with method of composite interval mapping (CIM) by Win QTL Cartographer 2.5. In total, 47 related QTLs distributed on the 13 linkage groups were obtained. Fifteen QTLs were detected in different years or different sites, including two for palmitic acid content, i.e. qPal-C2-2 and qPal-A1-1; four for stearic acid content, i.e. qSt-B1-1, qSt-B1-2, qSt-D1a-1, and qSt-C2-1; three for related with oleic acid content, i.e. qOle-B2-1, qOle-G-1, and qOle-H-1; two for related with linoleic acid content, i.e. qLin-C2-1 and qLin-H-1, and four for linolenic acid content, i.e. qLino-B1-1, qLino-C2-1, qLino-D1b-1, and qLino-J-1. These stable QTLs pave the way for specific fatty acid contents breeding by marker-assisted selection. The number of main-effect QTLs with large effect conferring the contents of fatty acids appeared not as many as expected, it may also subject to a number of the micro-effect genes which failed to detect.
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