Multiple Interval Mapping for Whole Cocoon Weight and Related Economically Important Traits QTL in Silkworm(Bombyx mori)  被引量:3

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

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作  者:LI Bin LU Cheng ZHAO Ai-chun XIANG Zhong-huai 

机构地区:[1]The Key Sericulture Laboratory, Ministry of Agriculture College of Sericulture & Biotechnology, Southwest University, Chongqing 400716,P.R. China

出  处:《Agricultural Sciences in China》2006年第10期798-804,共7页中国农业科学(英文版)

摘  要:A backcrossed population (BC1) derived from a cross between C100 and Dazao was obtained. The quantitative trait loci (QTLs) of the economically important traits for whole cocoon weight, cocoon shell weight, ratio of cocoon shell and weight of pupae, etc., were analyzed for the first time using the multiple interval mapping software WinQTLCart2.0. In total 40 QTLs were detected and contributed to 21 groups based on the constructed linkage map. According to the mapping results, 2, 2, 3, and 2 major QTLs explained over 20% of total phenotypic variations, whereas four QTLs, namely qCW-19, qSW-2, qCSR-4, and qPW-23, explained more than 30% of total phenotypic variations 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 QTLs were closed to one-side marker. By using the very closed markers, positive QTLs can be aggregated, which can form a basis for molecular marker-assisted selection and breeding.A backcrossed population (BC1) derived from a cross between C100 and Dazao was obtained. The quantitative trait loci (QTLs) of the economically important traits for whole cocoon weight, cocoon shell weight, ratio of cocoon shell and weight of pupae, etc., were analyzed for the first time using the multiple interval mapping software WinQTLCart2.0. In total 40 QTLs were detected and contributed to 21 groups based on the constructed linkage map. According to the mapping results, 2, 2, 3, and 2 major QTLs explained over 20% of total phenotypic variations, whereas four QTLs, namely qCW-19, qSW-2, qCSR-4, and qPW-23, explained more than 30% of total phenotypic variations 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 QTLs were closed to one-side marker. By using the very closed markers, positive QTLs can be aggregated, which can form a basis for molecular marker-assisted selection and breeding.

关 键 词:Bombyx mori whole cocoon weight AFLP QTL multiple interval mapping 

分 类 号:S882[农业科学—特种经济动物饲养]

 

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