Linkage Analysis and Multi-Locus Genome-Wide Association Studies Identify QTNs Controlling Soybean Plant Height
Author(s) -
Yanlong Fang,
Shulin Liu,
Quanzhong Dong,
Kaixin Zhang,
Zhixi Tian,
Xiyu Li,
Wenbin Li,
Zhongying Qi,
Yue Wang,
Xiaocui Tian,
Jie Song,
Jiajing Wang,
Chang Yang,
Sitong Jiang,
Wenxia Li,
Hailong Ning
Publication year - 2020
Publication title -
frontiers in plant science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.752
H-Index - 125
ISSN - 1664-462X
DOI - 10.3389/fpls.2020.00009
Subject(s) - quantitative trait locus , biology , family based qtl mapping , genetics , single nucleotide polymorphism , locus (genetics) , candidate gene , gene , genotyping , association mapping , genetic linkage , genome wide association study , genetic association , genome , inclusive composite interval mapping , gene mapping , genotype , chromosome
Plant height is an important target for soybean breeding. It is a typical quantitative trait controlled by multiple genes and is susceptible to environmental influences. Here, we carried out phenotypic analysis of 156 recombinant inbred lines derived from “Dongnong L13” and “Henong 60” in nine environments at four locations over 6 years using interval mapping and inclusive composite interval mapping methods. We performed quantitative trait locus (QTL) analysis by applying pre-built simple-sequence repeat maps. We detected 48 QTLs, including nine significant QTLs detected by multiple methods and in multiple environments. Meanwhile, genotyping of all lines using the SoySNP660k BeadChip produced 54,836 non-redundant single-nucleotide polymorphism (SNP) genotypes. We used five multi-locus genome-wide association analysis methods to locate 10 quantitative trait nucleotides (QTNs), four of which overlap with previously located QTLs. Five candidate genes related to plant height are predicted to lie within 200 kb of these four QTNs. We identified 19 homologous genes in Arabidopsis, two of which may be associated with plant height. These findings further our understanding of the multi-gene regulatory network and genetic determinants of soybean plant height, which will be important for breeding high-yielding soybean.
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