QTL Detection and Elite Alleles Mining for Stigma Traits in Oryza sativa by Association Mapping
文献类型： 外文期刊
作者： Dang, Xiaojing 1 ; Liu, Erbao 1 ; Liang, Yinfeng 1 ; Liu, Qiangming 1 ; Breria, Caleb M. 1 ; Hong, Delin 1 ;
作者机构： 1.Nanjing Agr Univ, State Key Lab Crop Genet & Germplasm Enhancement, Coll Agr, Nanjing, Jiangsu, Peoples R China
2.Chongqing Acad Agr Sci, Rice Res Inst, Chongqing, Peoples R China
关键词： QTL detection;elite allele;genome-wide association mapping;Oryza sativa;stigma traits
期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：4.1； 五年影响因子：5.3 ）
ISSN： 1664-462X
年卷期： 2016 年 7 卷
页码：
收录情况： SCI
摘要： Stigma traits are very important for hybrid seed production in Oryza sativa, which is a self-pollinated crop; however, the genetic mechanism controlling the traits is poorly understood. In this study, we investigated the phenotypic data of 227 accessions across 2 years and assessed their genotypic variation with 249 simple sequence repeat (SSR) markers. By combining phenotypic and genotypic data, a genome-wide association (GWA) map was generated. Large phenotypic variations in stigma length (STL), stigma brush-shaped part length (SBPL) and stigma non-brush-shaped part length (SNBPL) were found. Significant positive correlations were identified among stigma traits. In total, 2072 alleles were detected among 227 accessions, with an average of 8.3 alleles per SSR locus. GWA mapping detected 6 quantitative trait loci (QTLs) for the STL, 2 QTLs for the SBPL and 7 QTLs for the SNBPL. Eleven, 5, and 12 elite alleles were found for the STL, SBPL, and SNBPL, respectively. Optimal cross designs were predicted for improving the target traits. The detected genetic variation in stigma traits and QTLs provides helpful information for cloning candidate STL genes and breeding rice cultivars with longer STLs in the future.
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