InDel标记鉴定水稻籼粳属性及预测杂种优势  被引量:12

Identification of indica-japonica attribute and prediction of heterosis using InDel markers in rice

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作  者:赵小燕[1,2] 叶胜海[2] 李小华[2] 翟荣荣[2] 余鹏[1,2] 金庆生[2] 张小明[2] 

机构地区:[1]浙江师范大学化学与生命科学学院,浙江金华321004 [2]浙江省农业科学院作物与核技术利用研究所,浙江杭州310021

出  处:《浙江农业学报》2015年第8期1309-1316,共8页Acta Agriculturae Zhejiangensis

基  金:浙江省9410项目(2012C12901-2);浙江省科技厅公益技术研究农业项目(2014C32030);农业部转基因专项(2011ZX08001)

摘  要:利用21对特异插入/缺失(Insertion/Deletion,InDel)引物,对自主选育的浙粳4A与22个恢复系及其组合进行水稻籼粳属性分析。根据所配组合的产量性状表现,分析亲本的InDel遗传距离与杂种优势的相关性,探讨利用InDel标记遗传距离预测杂种优势的可行性。以供试材料在InDel位点上的多态性为原始数据,通过NTSYS聚类分析进行籼粳属性划分,结果与王明军等的方法所得结果基本一致。结果表明,InDel遗传距离与每穗总粒数、每穗实粒数、单株产量呈极显著正相关,相关系数分别为0.627**,0.602**和0.712**;与单株有效穗数呈显著正相关,相关系数为0.426*;与结实率、千粒重的相关性不显著,相关系数分别为0.217和0.004。表明InDel标记可用于水稻籼粳属性鉴定及杂种优势预测。In this paper, indica-japonica attribute of rice varieties including Zhejing 4A, 22 restorer lines and their combinations were analyzed by 21 pairs of insertion/deletion (InDel) molecular markers. The relationship between the parents' genetic distances and heterosis was studied based on production traits of the combinations, and the feasi- bility for using InDel markers genetic distance to predict heterosis was also analyzed, lndica-japonica attribute of each rice variety was identified by NTSYS clustering analysis with the polymorphism of the materials on the InDel site, and the results was basically identical with Wang Ming-jun's. The results showed that genetic distance had significantly positive correlation with total grains per panicle, grains per panicle, grain weight per plant, and the coefficients (R2) were 0. 627 ** , 0. 602 ** , 0. 712 ** , respectively, and had positive correlation with panicles per plant (RE = 0. 426 * ), but showed no significant positive correlation with seed setting rate and thousand seed weight, the coeffi- cients (R2) were 0. 217 and 0. 004, respectively. This study indicated that the InDel markers could be used to iden- tify indica-japonica attribute and to predict the heterosis in rice.

关 键 词:水稻 INDEL标记 籼粳分类 杂种优势 

分 类 号:S511[农业科学—作物学]

 

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