用(培矮64s/Nipponbare)F2群体对水稻产量构成性状的QTL定位分析  

QTL Mapping for Yield Component Traits Using (Pei’ai 64s/Nipponbare) F_2 Population

作　　者：叶少平[1] 张启军[1] 李杰勤[1] 赵兵[1] 李平[1] 

机构地区：[1]四川农业大学水稻研究所

出　　处：《作物学报》2005年第12期1620-1627,共8页Acta Agronomica Sinica

基　　金：国家"863计划"项目(2003AA212030)。

摘　　要：用水稻测序品种培矮64s和Nipponbare为亲本构建的含137个SSRs标记的连锁遗传图谱和(培矮64s/Nipponbare)F2群体的180个单株,对水稻的单株有效穗数、穗粒数、穗实粒数、结实率、穗着粒密度、千粒重等6个产量构成性状进行了QTL定位分析。共检测到6个性状的22个QTLs,分布在第1、2、4、5、6、9、10、11、12等9条染色体的14个区域,表型贡献率5.0%～19.3%;相关性较强的性状之间具有较多共同或紧密连锁的QTLs;集中分布的QTLs之间既有同向连锁,也有反向连锁。对不同水稻群体定位的同源QTL进行了比较,对QTL在染色体上的集中分布,以及用QTL定位结果和生物信息学方法相结合预测基因的功能等进行了探讨。Recently QTL （quantitative trait locus） mapping has mostly adopted such markers as RFLP marker, which is costly and difficult to operate. Besides, in such mapping the genome information of the mapping parents is not known, which makes it difficult to compare and share the outcomes achieved by different researchers. QTL mapping, using genetic linkage map constructed by sequenced rice cultivar, will facilitate the application of rice genome outcomes, and can provide a basis for the comparison of different rice QTL mapping and molecular marker assistant selection. It will prove to be a pathway to integrate QTL mapping and genome findings application. QTL for six yield-component traits including panicle number （PN）, spikelets per panicle （SPP）, filled grain number per panicle （ GPP）, seed setting （ SS）, density of panicle （DP） and kilo-grains weight （KW） were investigated using a F2 population consisted of 180 lines derived from the cross between a sequenced indica parent Nipponbare and a partial sequenced parent Pei＇ ai 64s. A genetic linkage map （Fig.2） including 137 SSRs markers was constituted by （Pei＇ ai 64s/ Nipponbare） F2 population , and interval mapping. The forecasts of gene function by QTL mapping and bio-informatics was discussed. The QTL results for the six yield-component traits were listed in Table 3 and Fig. 2. One putative QTL for PN was detected, on chromosome 5, explaining 10.0% of the phenotypic variation. Seven putative QTLs for SPP were detected on chromosome 1, 2, 4, 6, 9, 10 and 11, of which the two （ qSPPI-1 and qSPPIO） on chromosome 1 and 10 had much genetic effect, explained 14.0% and 10.7% of the phenotypic variation, respectively. Three QTLs for GPP were detected on chromosome 4, 5 and 6 the of which, one on chromosome 5 had more genetic effect, and explained 11.9% of the phenotypic variation. Three putative QTLs for SS were located on chromosomes 1, 5 and 6. Four putative QTI~ for DP were detected on chromosomes 1, 10 and 11, and two （ qDP1

关 键 词：水稻测序品种 SSR 产量构成性状 QTL定位 生物信息学 

分 类 号：S511[农业科学—作物学]