SRAP标记分析甘蓝型油菜多态性  被引量:40

Polymorphism Analysis by Sequence-related Amplified Polymorphism Markers in Brassica napus L

在线阅读下载全文

作  者:张书芬[1] 傅廷栋[1] 李媛媛[1] 朱家成[2] 王建平[2] 马朝芝[1] 

机构地区:[1]华中农业大学遗传改良国家重点实验室,湖北武汉430070 [2]河南省农业科学院棉花油料作物研究所,河南郑州450002

出  处:《华北农学报》2006年第1期50-54,共5页Acta Agriculturae Boreali-Sinica

基  金:国家"973"项目(2001CB10807);国家"十五"攻关项目(2001BA511B07);863项目(2002AA207009;2001AA241102);河南省杰出青年基金项目(0212000700)资助

摘  要:采用SRAP标记对甘蓝型油菜品种1141B、垦C1、32B和32C的多态性进行了分析。每对引物组合产生13~36对比较清晰的扩增带,20对引物组合共产生419条扩增带。平均每对引物组合产生20.95条。20对引物组合共产生多态性带116条,每对引物组合产生3~10条,平均5.8条。每对引物组合产生的多态性带的比例为18.75%~38.89%,平均为28.23%。用24对引物组合对组合1141B×垦C1构建的F2群体各单株多态性进行了分析,F2群体多态性标记75条,平均为3.12条。用卡平方测验检测F2群体各单株标记基因型频率是否偏离了期望比例1:2:1(共显性标记)和3:1(显性标记)的分离规律。结果表明,仅有1个SRAP标记偏离了1:2:1分离规律,仅占1.33%。试验结果表明,SRAP标记适于进行油菜品种的多态性分析和图谱构建,是一种经济、有效的分子标记。Polymorphism among 1141B , KenC1, 32B and 32C were analyzed with SRAP (sequence-related amplified polymorphism) markers. There were 13 - 36 clear polymorphic combination bands per primer, and the average was 5.8. About 419 amplified fragments and 116 polymorphic fragments were detected 20 SRAP primer combinations. The percentage of polymorphic fragments was 28.23 %. The number of amplified fragments and polymorphic fragments per primer combination were 20.95 and 5.8, respectively. The polymorphism analyzed by F2 individual of 1141 B Ken C1 with 24 primer combinations showed that there were 75 polymorphic bands, the average was 3.12. The X^2 test for allelie genotype of all loci indicated that 1.33 % of the SRAP markers distorted from the expectation 3:1 ratio (dominance markers) and 1:2:1 (co-dominance markers). It seems that SRAP markers was a high efficiency marker system in the paper. It showed that SRAP were an effective, cheap and dependable marker for polymorphism analysis and linkage map construction in B. napus L.

关 键 词:甘蓝型油菜 多态性 SRAP标记 

分 类 号:S565[农业科学—作物学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象