Frontiers in Plant Science (Nov 2018)
Identification of QTNs Controlling Seed Protein Content in Soybean Using Multi-Locus Genome-Wide Association Studies
- Kaixin Zhang,
- Kaixin Zhang,
- Shulin Liu,
- Wenbin Li,
- Wenbin Li,
- Shiping Liu,
- Shiping Liu,
- Xiyu Li,
- Xiyu Li,
- Yanlong Fang,
- Yanlong Fang,
- Jun Zhang,
- Yue Wang,
- Yue Wang,
- Shichao Xu,
- Shichao Xu,
- Jianan Zhang,
- Jianan Zhang,
- Jie Song,
- Jie Song,
- Zhongying Qi,
- Zhongying Qi,
- Xiaocui Tian,
- Xiaocui Tian,
- Zhixi Tian,
- Wen-Xia Li,
- Wen-Xia Li,
- Hailong Ning,
- Hailong Ning
Affiliations
- Kaixin Zhang
- Key Laboratory of Soybean Biology in the Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
- Kaixin Zhang
- Northeastern Key Laboratory of Soybean Biology and Breeding/Genetics in the Chinese Ministry of Agriculture, Northeast Agricultural University, Harbin, China
- Shulin Liu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- Wenbin Li
- Key Laboratory of Soybean Biology in the Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
- Wenbin Li
- Northeastern Key Laboratory of Soybean Biology and Breeding/Genetics in the Chinese Ministry of Agriculture, Northeast Agricultural University, Harbin, China
- Shiping Liu
- Key Laboratory of Soybean Biology in the Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
- Shiping Liu
- Northeastern Key Laboratory of Soybean Biology and Breeding/Genetics in the Chinese Ministry of Agriculture, Northeast Agricultural University, Harbin, China
- Xiyu Li
- Key Laboratory of Soybean Biology in the Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
- Xiyu Li
- Northeastern Key Laboratory of Soybean Biology and Breeding/Genetics in the Chinese Ministry of Agriculture, Northeast Agricultural University, Harbin, China
- Yanlong Fang
- Key Laboratory of Soybean Biology in the Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
- Yanlong Fang
- Northeastern Key Laboratory of Soybean Biology and Breeding/Genetics in the Chinese Ministry of Agriculture, Northeast Agricultural University, Harbin, China
- Jun Zhang
- College of Agronomy, Jilin Agricultural University, Changchun, China
- Yue Wang
- Key Laboratory of Soybean Biology in the Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
- Yue Wang
- Northeastern Key Laboratory of Soybean Biology and Breeding/Genetics in the Chinese Ministry of Agriculture, Northeast Agricultural University, Harbin, China
- Shichao Xu
- Key Laboratory of Soybean Biology in the Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
- Shichao Xu
- Northeastern Key Laboratory of Soybean Biology and Breeding/Genetics in the Chinese Ministry of Agriculture, Northeast Agricultural University, Harbin, China
- Jianan Zhang
- Key Laboratory of Soybean Biology in the Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
- Jianan Zhang
- Northeastern Key Laboratory of Soybean Biology and Breeding/Genetics in the Chinese Ministry of Agriculture, Northeast Agricultural University, Harbin, China
- Jie Song
- Key Laboratory of Soybean Biology in the Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
- Jie Song
- Northeastern Key Laboratory of Soybean Biology and Breeding/Genetics in the Chinese Ministry of Agriculture, Northeast Agricultural University, Harbin, China
- Zhongying Qi
- Key Laboratory of Soybean Biology in the Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
- Zhongying Qi
- Northeastern Key Laboratory of Soybean Biology and Breeding/Genetics in the Chinese Ministry of Agriculture, Northeast Agricultural University, Harbin, China
- Xiaocui Tian
- Key Laboratory of Soybean Biology in the Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
- Xiaocui Tian
- Northeastern Key Laboratory of Soybean Biology and Breeding/Genetics in the Chinese Ministry of Agriculture, Northeast Agricultural University, Harbin, China
- Zhixi Tian
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- Wen-Xia Li
- Key Laboratory of Soybean Biology in the Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
- Wen-Xia Li
- Northeastern Key Laboratory of Soybean Biology and Breeding/Genetics in the Chinese Ministry of Agriculture, Northeast Agricultural University, Harbin, China
- Hailong Ning
- Key Laboratory of Soybean Biology in the Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
- Hailong Ning
- Northeastern Key Laboratory of Soybean Biology and Breeding/Genetics in the Chinese Ministry of Agriculture, Northeast Agricultural University, Harbin, China
- DOI
- https://doi.org/10.3389/fpls.2018.01690
- Journal volume & issue
-
Vol. 9
Abstract
Protein content (PC), an important trait in soybean (Glycine max) breeding, is controlled by multiple genes with relatively small effects. To identify the quantitative trait nucleotides (QTNs) controlling PC, we conducted a multi-locus genome-wide association study (GWAS) for PC in 144 four-way recombinant inbred lines (FW-RILs). All the FW-RILs were phenotyped for PC in 20 environments, including four locations over 4 years with different experimental treatments. Meanwhile, all the FW-RILs were genotyped using SoySNP660k BeadChip, producing genotype data for 109,676 non-redundant single-nucleotide polymorphisms. A total of 129 significant QTNs were identified by five multi-locus GWAS methods. Based on the 22 common QTNs detected by multiple GWAS methods or in multiple environments, pathway analysis identified 8 potential candidate genes that are likely to be involved in protein synthesis and metabolism in soybean seeds. Using superior allele information for 22 common QTNs in 22 elite and 7 inferior lines, we found higher superior allele percentages in the elite lines and lower percentages in the inferior lines. These findings will contribute to the discovery of the polygenic networks controlling PC in soybean, increase our understanding of the genetic foundation and regulation of PC, and be useful for molecular breeding of high-protein soybean varieties.
Keywords