家蚕全茧量及重要相关经济性状的多重区间作图分析  

Multiple Interval Mapping for Whole Cocoon Weight and Related Economically Important Traits QTL in Silkworm (Bombyx mori)

作　　者：李斌[1] 鲁成[1] 赵爱春[1] 向仲怀[1] 

机构地区：[1]西南农业大学蚕学与生物技术学院/农业部蚕桑学重点实验室,重庆400716

出　　处：《中国农业科学》2005年第7期1474-1479,共6页Scientia Agricultura Sinica

基　　金：国家"863"项目(2002AA211011;2004AA2Z1020);"973"项目(2005CB121000)资助

摘　　要：利用家蚕品系C100和大造的回交一代BC1群体,用WinQTLCart2.0软件对家蚕全茧量、茧层量、茧层率和蛹体重等4个重要经济性状在分子连锁图的基础上进行了多重区间作图分析。共检测到40个QTL,分布于21个连锁群,其中全茧量、茧层量、茧层率和蛹体重的QTL中,贡献率超过20%的主效QTL数分别为2、2、3、2个,贡献率超过30%的主效QTL有4个,分别是控制全茧量的qCW-19、茧层量的qSW-2、茧层率的qCSR-4和蛹体重的qPW-23。相关显著的经济性状的QTL具有集中分布的特点,并且检测到的QTL均与其单侧标记紧密连锁,利用紧密连锁的分子标记将不同的增效QTL进行聚合,为优质高产家蚕新品种的选育打下基础。A backcrossed population (BC1) derived from a cross between C100 and Dazao was obtained. It was the first time for the QTLs of the economically important traits of whole cocoon weight, cocoon shell weight, ratio of cocoon shell and weight of pupae and so on to be analyzed by the Multiple Interval Mapping software WinQTLCart2.0. And totally 40 QTLs were detected and contributed in 21 groups based on the constructed linkage map. According to the mapping results, 2, 2, 3, and 2 major QTLs explained over 20% of the total phenotypic variations, while there were four QTLs as qCW-19, qSW-2, qCSR-4 and qPW-23 explained more than 30% of which. All of the above QTLs were detected for whole cocoon weight, cocoon shell weight, ratio of cocoon shell and weight of pupae, respectively. Correlated traits QTLs often share the same location. Furthermore, most of the detected QTL were closed to one-side marker. By using the very closed markers, the authors have aggregated positive QTLs and built a basis for molecular marker assisted selection and breeding.

关 键 词：经济性状 作图分析 全茧量 区间 多重 相关 QTL 2.0软件 分子连锁图 家蚕新品种 茧层量 蛹体重 茧层率 回交一代 C100 集中分布 分子标记 优质高产 贡献率 BC1 连锁群 基础 检测 选育 

分 类 号：S881[农业科学—特种经济动物饲养]