Zhao Weiguo, Wang Xiaodong, Wang Hao, Tian Jianhua, Li Baojun, Chen Li, Chao Hongbo, Long Yan, Xiang Jun, Gan Jianping, Liang Wusheng, Li Maoteng
Hybrid Rapeseed Research Center of Shaanxi Province, Shaanxi Rapeseed Branch of National Centre for Oil Crops Genetic ImprovementYangling, China; Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and TechnologyWuhan, China.
Key Laboratory of Cotton and Rapeseed, Ministry of Agriculture, Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences Nanjing, China.
Front Plant Sci. 2016 Jan 28;7:17. doi: 10.3389/fpls.2016.00017. eCollection 2016.
Seed yield (SY) is the most important trait in rapeseed, is determined by multiple seed yield-related traits (SYRTs) and is also easily subject to environmental influence. Many quantitative trait loci (QTLs) for SY and SYRTs have been reported in Brassica napus; however, no studies have focused on seven agronomic traits simultaneously affecting SY. Genome-wide QTL analysis for SY and seven SYRTs in eight environments was conducted in a doubled haploid population containing 348 lines. Totally, 18 and 208 QTLs for SY and SYRTs were observed, respectively, and then these QTLs were integrated into 144 consensus QTLs using a meta-analysis. Three major QTLs for SY were observed, including cqSY-C6-2 and cqSY-C6-3 that were expressed stably in winter cultivation area for 3 years and cqSY-A2-2 only expressed in spring rapeseed area. Trait-by-trait meta-analysis revealed that the 144 consensus QTLs were integrated into 72 pleiotropic unique QTLs. Among them, all the unique QTLs affected SY, except for uq.A6-1, including uq.A2-3, uq.C1-2, uq.C1-3, uq.C6-1, uq.C6-5, and uq.C6-6 could also affect more than two SYRTs. According to the constructed high-density consensus map and QTL comparison from literatures, 36 QTLs from five populations were co-localized with QTLs identified in this study. In addition, 13 orthologous genes were observed, including five each gene for SY and thousand seed weight, and one gene each for biomass yield, branch height, and plant height. The genomic information of these QTLs will be valuable in hybrid cultivar breeding and in analyzing QTL expression in different environments.
种子产量(SY)是油菜中最重要的性状,由多个与种子产量相关的性状(SYRTs)决定,并且也容易受到环境影响。甘蓝型油菜中已报道了许多与SY和SYRTs相关的数量性状位点(QTL);然而,尚无研究同时关注七个同时影响SY的农艺性状。在一个包含348个株系的双单倍体群体中,对八个环境下的SY和七个SYRTs进行了全基因组QTL分析。总共分别观察到18个和208个与SY和SYRTs相关的QTL,然后使用元分析将这些QTL整合为144个一致性QTL。观察到三个与SY相关的主要QTL,包括在冬季种植区稳定表达3年的cqSY-C6-2和cqSY-C6-3,以及仅在春油菜区表达的cqSY-A2-2。逐个性状的元分析表明,144个一致性QTL被整合为72个多效性独特QTL。其中,除uq.A6-1外,所有独特QTL均影响SY,包括uq.A2-3、uq.C1-2、uq.C1-3、uq.C6-1、uq.C6-5和uq.C6-6也可影响两个以上的SYRTs。根据构建的高密度一致性图谱和文献中的QTL比较,五个群体中的36个QTL与本研究中鉴定的QTL共定位。此外,还观察到13个直系同源基因,包括与SY和千粒重各相关的五个基因,以及与生物量产量、分枝高度和株高各相关的一个基因。这些QTL的基因组信息在杂交品种育种以及分析不同环境下的QTL表达方面将具有重要价值。