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甘蓝型油菜分枝数QTL定位及其候选基因预测
引用本文:张凤启,程晓辉,刘越英,童超波,董彩华,于景印,黄军艳,刘胜毅.甘蓝型油菜分枝数QTL定位及其候选基因预测[J].中国油料作物学报,2015,37(1):15-20.
作者姓名:张凤启  程晓辉  刘越英  童超波  董彩华  于景印  黄军艳  刘胜毅
作者单位:中国农业科学院油料作物研究所,农业部油料作物生物学与遗传育种重点实验室,湖北 武汉,430062
基金项目:国家973计划(2011CB109305);国家863计划(2013AA102602);国家自然科学基金(30900934);湖北农业科技创新中心
摘    要:分枝数是影响油菜产量的重要株型性状之一。为了有助于油菜分枝数的分子标记辅助育种,以甘蓝型油菜品系888-5(多分枝)和M083(少分枝)杂交形成的重组自交系(RIL)群体为材料,通过利用第一张油菜60KSNP芯片对群体进行高通量SNP分型,并结合单环境和多环境2种QTL检测方法对RIL群体在4个环境(武汉-2012、武汉-2013、扬州-2012和扬州-2013)下分枝数进行QTL定位。结果表明:共检测出18个分枝数QTL,分布于A2、A6、A7、C1和C4连锁群。其中11个QTL在2个以上环境下可重复检测到;有2个QTL与环境之间存在互作效应。主效QTL 2个(qBN2-3和qBNE2-1),分别在3个、4个环境下重复检测到,可解释的表型变异为13.12%~20.60%,2.80%~30.10%。qBNE2-1与环境存在互作效应。另外,通过利用SNP标记侧翼序列和油菜基因组比对作图,从3个QTL(qBN2-1、qBN7-6和q BN7-8,三者可解释的表型变异分别为19.40%~17.30%、5.70%~12.21%和7.88%~10.32%)的基因组区段内(分别为279kb、165kb和562kb)共筛选出4个与分枝数有关的候选基因,它们的拟南芥同源基因(分别为CUC2、PIN3、F23N20.8和PIN4)均参与拟南芥分枝数的分化或形态建成。

关 键 词:甘蓝型油菜  SNP标记  分枝数  QTL定位  油菜60K  SNP芯片

QTL mapping of branch number in Brassica napus and candidate gene prediction
ZHANG Feng-qi,CHENG Xiao-hui,LIU Yue-ying,TONG Chao-bo,DONG Cai-hua,YU Jing-yin,HUANG Jun-yan,LIU Sheng-yi.QTL mapping of branch number in Brassica napus and candidate gene prediction[J].Chinese Journal of Oil Crop Sciences,2015,37(1):15-20.
Authors:ZHANG Feng-qi  CHENG Xiao-hui  LIU Yue-ying  TONG Chao-bo  DONG Cai-hua  YU Jing-yin  HUANG Jun-yan  LIU Sheng-yi
Institution:ZHANG Feng-qi;CHENG Xiao-hui;LIU Yue-ying;TONG Chao-bo;DONG Cai-hua;YU Jing-yin;HUANG Jun-yan;LIU Sheng-yi;Oil Crops Research Institute of Chinese Academy of Agricultural Sciences,Key Laboratory of Biology and Genetic Improvement of Oil Crops,Ministry of Agriculture;Hubei Collaborative Innovation Center for Green Transformation of Bio - Resources,Hubei University;
Abstract: Branch number is an important trait affecting yield of oilseed rape. To improve breeding efficiency on branch number improvement, QTLs on branch number were identified by using single environment and multi-environment detection methods. The mapping was conducted in a recombinant inbred lines (RILs) population derived from 888-5 (with more branch number) and M083 (with less branch number) by employing newly developed Brassica napus 60K SNP array. Results indicated that a total of 18 putative QTLs in 4 environments (Wuhan-2012, Wuhan-2013, Yangzhou-2012, and Ynagzhou-2013) were found on chromosome A2, A6, A7, C1 and C4. Among them, 11 QTLs were repeatedly detected in more than 2 environments, and 2 QTLs showed interaction with environments. 2 major effect QTLs (qBN2-3 and qBNE2-1) were repeatedly detected in 3 and 4 environments respectively, explaining 13.12%-20.60% and 2.80%-30.10% of phenotypic variations. QTL qBNE2-1 presented interaction with environment. By comparative mapping of the SNPs flank sequences with B. napus genome, 4 candidate genes were found from genomic regions (279kb, 165kb and 562kb) of 3 QTLs (qBN2-1, qBN7-6, and qBN7-8 which explained 19.40%-17.30%, 5.70%-12.21%, and 7.88%-10.32% of phenotypic variations respectively). Their orthologous genes in A. thaliana were CUC2, PIN3, F23N20.8 and PIN4, all involving in branch number differentiation in A. thaliana. 
Keywords:Brassica napus  SNP marker  Branch number  QTL mapping  Brassica 60K SNP array
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