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Identify QTLs and candidate genes underlying source-, sink-, and grain yield-related traits in rice by integrated analysis of bi-parental and natural populations

文献类型： 外文期刊

作者： Wang, Yun 1 ; Wang, Junmin 2 ; Zhai, Laiyuan 1 ; Liang, Chengwei 1 ; Chen, Kai 4 ; Xu, Jianlong 3 ;

作者机构： 1.Shenyang Agr Univ, Rice Res Inst, Shenyang, Liaoning, Peoples R China

2.Zhejiang Acad Agr Sci, Inst Crops & Nucl Technol Utilizat, Hangzhou, Zhejiang, Peoples R China

3.Chinese Acad Agr Sci, Natl Key Facil Crop Gene Resources & Genet Improv, Inst Crop Sci, Beijing, Peoples R China

4.Chinese Acad Agr Sci, Agr Genom Inst Shenzhen, Shenzhen Branch,Minist Agr, Guangdong Lab Lingnan Modern Agr,Genome Anal Lab, Shenzhen, Guangdong, Peoples R China

期刊名称：PLOS ONE （ 影响因子：3.24； 五年影响因子：3.788 ）

ISSN： 1932-6203

年卷期： 2020 年 15 卷 8 期

页码：

收录情况： SCI

摘要： The source-sink relationship determines the ultimate grain yield of rice. In this study, we used a set of reciprocal introgression lines (ILs) derived from Xuishui09 x IR2061 to map quantitative trait loci (QTLs) that were associated with sink-, source-, and grain yield-related traits. A total of 95 QTLs influencing eight measured traits were identified using 6181 high-quality single nucleotide polymorphism markers. Nine background-independent QTLs were consistently detected in seven chromosomal regions in different genetic backgrounds. Seven QTLs clusters simultaneously affected sink-, source-, and grain yield-related traits, probably due to the genetic basis of significant correlations of grain yield with source and sink traits. We selected 15 candidate genes in the four QTLs consistently identified in the two populations by performing gene-based association and haplotype analyses using 2288 accessions from the 3K project. Among these,LOC_Os03g48970forqTSN3b,LOC_Os06g04710forqFLL6a, andLOC_Os07g32510forqTGW7were considered as the most likely candidate genes based on functional annotations. These results provide a basis for further study of candidate genes and for the development of high-yield rice varieties by balancing source-sink relationships using marker-assisted selection.

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