摘要
【目的】以西双版纳黄瓜与北京截头黄瓜为亲本构建的F9重组自交系群体为作图材料进行遗传图谱的构建,并对叶绿素含量、果实大小、侧枝多少及其第一分枝节位等重要农艺性状进行QTL定位分析,为黄瓜品种的选育及高产、稳产育种提供有益参考和帮助。【方法】以北京截头黄瓜与西双版纳黄瓜为亲本杂交得到F1,之后按单粒传方式得到含有124个F9重组自交系(RILs)群体。以该F9重组自交系(RILs)群体为作图群体,以995对SSR标记为筛选引物,采用joinmap4.0软件进行遗传图谱的构建。并利用构建的遗传图谱,采用WinQTLcart2.5软件复合区间作图法,结合统计的叶片叶绿素含量,商品瓜的瓜长、瓜粗,种瓜的瓜长、瓜粗、瓜把,以及侧枝数、第一分枝节位等相关的共12个黄瓜重要农艺性状的QTL位点进行检测。【结果】构建了含有7个连锁群,137个SSR标记的遗传图谱,图谱总长591.2 cM,平均图距为4.3 cM;共检测到与12个黄瓜农艺性状相关的QTL位点29个,分布在第1、2、3、4、6、7染色体上。其中,叶绿素性状相关的QTL有6个,商品瓜性状相关的QTL有7个,种瓜性状相关的QTL有9个,侧枝性状相关的QTL有7个,单个QTL位点的可解释的表型变异范围为5.30%—19.24%。Ldr4.2的贡献率最小,为5.30%,Lbn1.2的贡献率最大,为19.24%。【结论】构建了西双版纳黄瓜RIL群体遗传图谱,并对叶片叶绿素含量、果实及侧枝等相关的12个农艺性状进行了QTL定位分析,共获得29个相关QTL。
【Objective】 A genetic map was constructed using Xishuangbanna cucumber （Cucumis sativus L.var. xishuangbannanesis Qi et Yuan） recombinant lines and QTLs associated with yield, chlorophyll content, fruit related traits, the lateral branch number and the first lateral branch node were identified. These results will be beneficial and helpful to cucumber plant selection and high yield breeding.【Method】Using JoinMap 4.0 software, a genetic linkage map based on 995 SSR primers data from 124 F9 recombinant inbred lines, derived from Beijingjietou cucumber and Xishuangbanna cucumber by using single seed descend method, was constructed. Using WinQTLcart2.5 software, QTLs associated with 12 cucumber traits related to chlorophyll content, fruit lengths, fruit diameters, length of fruit for seed harvest, diameter of fruit for seed harvest, stalk lengths of fruit for seed harvest, and lateral branch, the first lateral branch node were mapped.【Result】The linkage map consisted of 137 SSR （simple sequence repeat） markers, 7 linkage groups that spanned 591.2 cM with an average distance of 4.32 cM. A total of twenty-nine QTLs for the 12 cucumber traits were detected, and 6, 7, 9 and 7 QTLs for chlorophyll content characters, commercial fruit, mature fruit and lateral branch traits were detected, respectively. These QTLs were mapped on chromosomes 1, 2, 3, 4, 6 and 7, respectively. The QTLs explained 5.30%-19.24% of the phenotypic variation. The minimum contribution rate of Ldr4.2 is 5.30%, the maximum contribution rate of Lbn1.2 is 19.24%.【Conclusion】The results of QTL analysis on the 12 cucumber traits will provide a basis for gene fine mapping to unravel the genetic basis of yield related traits in cucumber. Moreover, the obtained genetic linkage map of this RIL population could be used for analysis of other important cucumber traits.
出处
《中国农业科学》
CAS
CSCD
北大核心
2014年第3期528-536,共9页
Scientia Agricultura Sinica
基金
国家自然科学基金项目(30972007)
