Identification of major QTLs associated with agronomical traits and candidate gene mining in soybean

被引:5
|
作者
Su, Daiqun [1 ,2 ,3 ]
Jiang, Sitong [1 ,2 ,3 ]
Wang, Jiajing [1 ,2 ,3 ]
Yang, Chang [1 ,2 ,3 ]
Li, Wenbin [1 ,2 ,3 ]
Li, Wen-Xia [1 ,2 ,3 ]
Ning, Hailong [1 ,2 ,3 ]
机构
[1] Minist Educ, Key Lab Soybean Biol, Harbin, Heilongjiang, Peoples R China
[2] Minist Agr, Key Lab Soybean Biol & Breeding Genet, Harbin, Heilongjiang, Peoples R China
[3] Northeast Agr Univ, Soybean Res Inst, Dept Agron, Harbin, Heilongjiang, Peoples R China
关键词
Soybean; agronomic traits; QTL mapping; candidate gene mining; SEED PROTEIN; LINKAGE MAP; OIL CONTENT; ARABIDOPSIS-THALIANA; LOCI; POPULATIONS; TRANSPORT; MARKERS; FAMILY; YIELD;
D O I
10.1080/13102818.2019.1674691
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Soybean is valued in foods, animal feed and some industrial applications, and agronomic traits are important targets for soybean breeding. In this study, two sets of recombinant inbred line (RIL) populations were used to map yield and quality trait quantitative trait loci (QTLs) across three environments. In total, we detected 37 QTLs in two RIL populations grown in three locations. In the 3613 RIL population, three QTLs related to quality traits and 13 related to yield traits were identified among the 16 QTLs. In the 6013 population, we identified six QTLs related to quality traits and 15 related to yield traits. Among these QTLs, some genomic regions showed pleiotropic effects on yield and quality traits. We further identified candidate genes from these regions. Our results lay the foundation for producing high-yielding soybean with excellent quality traits via molecular breeding.
引用
收藏
页码:1481 / 1493
页数:13
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