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QTL Identification for Cooking and Eating Quality in indica Rice Using Multi-Parent Advanced Generation Intercross (MAGIC) Population

文献类型: 外文期刊

作者: Ponce, Kimberly S. 1 ; Ye, Guoyou 1 ; Zhao, Xiangqian 3 ;

作者机构: 1.Int Rice Res Inst, Rice Breeding Platform, Los Banos, Philippines

2.Agr Genom Inst, CAAS IRRI Joint Lab Genom Assisted Germplasm Enha, Shenzhen, Peoples R China

3.Zhejiang Acad Agr Sci, Inst Crop Sci & Nucl Technol Utilizat, Hangzhou, Zhejiang, Peoples R China

关键词: cooking quality; eating quality; MAGIC population; association mapping; rice

期刊名称:FRONTIERS IN PLANT SCIENCE ( 影响因子:5.753; 五年影响因子:6.612 )

ISSN: 1664-462X

年卷期: 2018 年 9 卷

页码:

收录情况: SCI

摘要: Association mapping using a multi-parent advanced generation intercross (MAGIC) population provides a promising tool in genetic dissection of rice cooking and eating quality (CEQ). In this study, QTLs were identified for ten physicochemical properties related to CEQ using 508 F-6 MAGIC lines. The whole population and eight founder lines were genotyped with 6K Illumina Infinium HD Assay. All traits had high heritability estimates and showed a large genetic variation in the MAGIC population. Highly significant phenotypic correlations were present between traits. AC was significantly positively correlated with PKT, TV, FV, SBV, PKT, and RT but significantly negatively correlated with GC and BDV. Seventeen QTLs were identified for all traits. GBSSI locus was hosted or closely to nine QTLs, qAC6, qGC6.1, qPKT6.1, qPKV6, qBDV6.1, qTV6.1, qFV6, qSBV6, and qRT6, suggesting that GBSSI impacts the overall CEQ. Another locus closed to SSIIa, located at 6.99 Mb, affects five traits, GC, PKT, BDV, SBV, and PT. The identified QTLs revealed small to modest effects where the highest percentage of phenotypic variance explained was 17.18%. These QTLs are directly relevant and useful in breeding for CEQ in indica rice. These results also confirmed that QTL mapping via association mapping using a MAGIC population is a powerful method in genetic analysis of complex traits.

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