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机构地区:[1]黑龙江八一农垦大学生命学院,大庆163000 [2]东北农业大学农学院,哈尔滨150030
出 处:《分子植物育种》2017年第4期1403-1407,共5页Molecular Plant Breeding
基 金:黑龙江八一农垦大学校博士科研启动基金(校启B2010-07)资助
摘 要:大麦的糖化力和蛋白质含量是影响大麦品质的重要指标,对此类性状进行QTL定位具有重要的经济意义。本研究分别采用传统的单QTL扫描方法和3种贝叶斯LASSO方法实现此类性状的QTL精细解析。在对大麦蛋白质含量的QTL检测上,单QTL扫描方法共检测到了3个QTL,而3种贝叶斯方法检测到了7个QTL,其中2个与单QTL扫描方法检测的QTL吻合。在大麦糖化力的QTL检测上,传统的单QTL扫描方法共检测到了3个QTL,而3种贝叶斯方法除了检测到这3个QTL外,还检测发现了额外的2个连锁的QTL;表明贝叶斯方法在北美大麦蛋白质含量和糖化力QTL检测中可以更加有效地分离处于连锁位置或接近状态的QTL进而提高QTL的检测效力。The diastatic power and protein content are important indexes to measure the quality of barley, therefore it is important to detect QTL mapings for these kinds of traits. We carried on the QTL fine analysis of this two traits by single QTL scan and three bayesian LASSO method. 3 QTLs affecting barley protein content were found by single QTL analysis, otherwise 7 QTLs by three Bayesian LASSO method, and 2 of them were consistent with the one found using single QTL scan. In the QTL detection of diastatic power of barley, single QTL scan detected 3 QTLs, but Bayesian method detected 5 QTLs, in which 3 of them were overlapped with single QTL scan, and other 2 linkage QTLs were bayesian specific. These research showed that Bayesian method could separate linked or positional closed QTLs efficiently, and was more powerful to detect QTL in the QTL detection underlining diastatic power and protein content for North America barley.
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