Mapping quantitative trait loci for yield-related traits in Chinese cabbage (Brassica rapa L. ssp. pekinensis)

Mapping quantitative trait loci for yield-related traits in Chinese cabbage (Brassica rapa L. ssp. pekinensis)
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DOI:
10.1007/s10681-013-0931-1
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发表时间:
2013-04
期刊:
影响因子:
1.9
通讯作者:
Yang Liu;Yun Zhang;Jiying Xing;Zhiyong Liu;H. Feng
Yang Liu;Yun Zhang;Jiying Xing;Zhiyong Liu;H. Feng
中科院分区:
农林科学3区
文献类型:
--
作者:
Yang Liu;Yun Zhang;Jiying Xing;Zhiyong Liu;H. Feng

文献摘要

相似文献

白菜(Brassica rapaL.)北京亚种(sp.pekinensis)是我国最重要的蔬菜之一。然而,大白菜产量相关性状的遗传至今仍知之甚少。为定位大白菜产量相关性状的数量性状基因座(QTL),利用192个双单倍体(DH)材料构建了大白菜遗传连锁图谱。根据190个序列相关扩增多态性和43个简单重复序列构建了遗传图谱。以大白菜品种WZ和FT杂交的170个DH系为材料,在不同环境条件下对11个产量相关性状进行QTL定位。共检测到46个主效QTL(M-QTL)和7个上位性QTL(E-QTL)。每个M-QTL和E-QTL解释的表型变异分别为4.85 ~ 25.06%和1.85 ~ 13.29%。利用QTLNetwork2.0程序对多环境表型值进行联合分析,检测QTL与环境的互作。各QTL解释的表型变异为1.14- 4.24%,QTL与环境互作解释的表型变异为0.00- 1.26%。研究结果为进一步了解控制大白菜叶部和球部相关性状的遗传因素提供了依据。
Chinese cabbage (Brassica rapaL. ssp.pekinensis) is one of the most important vegetables in China. However, the inheritance of yield-related traits in Chinese cabbage is poorly understood to date. To map quantitative trait loci (QTL) for yield-related traits in Chinese cabbage, a genetic linkage map was constructed with 192 doubled haploid (DH) lines. The genetic map was constructed based on 190 sequence-related amplified polymorphisms and 43 simple sequence repeats. QTL mapping was conducted for 11 yield-related traits in 170 DH lines derived from a cross between two diverse Chinese cabbage lines, ‘WZ’ and ‘FT’, under different environmental conditions. A total of 46 main QTL (M-QTL) and 7 epistatic QTL (E-QTL) were identified. The phenotypic variation explained by each M-QTL and E-QTL ranged from 4.85 to 25.06 % and 1.85 to 13.29 %, respectively. The QTL-by-environment interactions were detected using the QTLNetwork 2.0 program in joint analyses of multi-environment phenotypic values. The phenotypic variation explained by each QTL and by QTL × environment interaction was 1.14–4.24 % and 0.00–1.26 %, respectively. Our results provide a better understanding of the genetic factors controlling leaf and head-related traits in Chinese cabbage.