Genome-Wide Association Mapping for Seed Weight in Soybean with Black Seed Coats and Green Cotyledons

被引:7
|
作者
Jo, Hyun [1 ]
Lee, Ji Yun [2 ]
Lee, Jeong-Dong [1 ,3 ]
机构
[1] Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea
[2] Gyeongsangbuk Do Prov Agr Res & Extens Serv, Daegu 41404, South Korea
[3] Kyungpook Natl Univ, Dept Integrat Biol, Daegu 41566, South Korea
来源
AGRONOMY-BASEL | 2022年 / 12卷 / 02期
关键词
black soybean; green cotyledon; seed weight; CYP78A; genome sequence; GENETIC ARCHITECTURE; CYTOCHROME P450S; AGRONOMIC TRAITS; GROWTH HABIT; SIZE; YIELD; RICE; IDENTIFICATION; EVOLUTION; SELECTION;
D O I
10.3390/agronomy12020250
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The yield of soybean (Glycine max (L.) Merr.) is based on several components, such as the number of plants per unit area, pod number per plant, number of nodes, and seed weight. Additionally, the hundred-seed weight (HSW) is an important component affecting soybean yield. The HSW trait can determine soy products meant for human consumption. In this study, we conducted genome-wide association studies with 470 accessions of black seed coats with green cotyledons and applied an online tool with publicly available genome sequencing data. The objective of the study was to identify the genomic regions in the soybean genome associated with seed weight and to identify the candidate genes in linkage disequilibrium blocks where the most significant SNPs were located. This study identified significant SNPs for seed weight on chromosomes 2 and 16. Furthermore, this study indicated that GmCYP78A57 (Glyma.02G119600) encoded a cytochrome P450 monooxygenase may be a possible candidate gene for controlling the seed size in soybean. We assumed that another gene on chromosome 16 may play the important role of a small additive genetic effect to reduce seed size along with GmCYP78A57. An online tool was used to identify 12 allelic variations of GmCYP78A57 with publicly available genomic sequence data. The HSW of 45 accessions having a missense mutation from the Germplasm Resources Information Network ranged from 4.4 to 17.6 g. In addition, 19 accessions were shown to be less than 10.0 g of HSW. This information can provide for the development of molecular markers to use in soybean breeding programs to release new cultivars with increased or decreased seed weight.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Genome-wide association mapping of seed oligosaccharides in chickpea
    Elango, Dinakaran
    Wang, Wanyan
    Thudi, Mahender
    Sebastiar, Sheelamary
    Ramadoss, Bharathi Raja
    Varshney, Rajeev K.
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [2] Identification of major genomic regions for soybean seed weight by genome-wide association study
    Yongce Cao
    Shihao Jia
    Liuxing Chen
    Shunan Zeng
    Tuanjie Zhao
    Benjamin Karikari
    Molecular Breeding, 2022, 42
  • [3] Identification of major genomic regions for soybean seed weight by genome-wide association study
    Cao, Yongce
    Jia, Shihao
    Chen, Liuxing
    Zeng, Shunan
    Zhao, Tuanjie
    Karikari, Benjamin
    MOLECULAR BREEDING, 2022, 42 (07)
  • [4] Genome-wide association mapping and candidate gene analysis for seed shape in soybean (Glycine max)
    Zhao, Xue
    Li, Wenjing
    Zhao, Xiaoyue
    Wang, Jinyang
    Liu, Zhiyang
    Han, Yingpeng
    Li, Wenbin
    CROP & PASTURE SCIENCE, 2019, 70 (08): : 684 - 693
  • [5] A genome-wide association study of seed protein and oil content in soybean
    Eun-Young Hwang
    Qijian Song
    Gaofeng Jia
    James E Specht
    David L Hyten
    Jose Costa
    Perry B Cregan
    BMC Genomics, 15
  • [6] A genome-wide association study of seed protein and oil content in soybean
    Hwang, Eun-Young
    Song, Qijian
    Jia, Gaofeng
    Specht, James E.
    Hyten, David L.
    Costa, Jose
    Cregan, Perry B.
    BMC GENOMICS, 2014, 15
  • [7] Genome-wide association mapping for seed protein and oil contents using a large panel of soybean accessions
    Li, Dongmei
    Zhao, Xue
    Han, Yingpeng
    Li, Wenbin
    Xie, Futi
    GENOMICS, 2019, 111 (01) : 90 - 95
  • [8] Genome-wide association mapping and candidate gene analysis for saturated fatty acid content in soybean seed
    Zhao, Xue
    Chang, Hong
    Feng, Lei
    Jing, Yan
    Teng, Weili
    Qiu, Lijuan
    Zheng, Hongkun
    Han, Yingpeng
    Li, Wenbin
    PLANT BREEDING, 2019, 138 (05) : 588 - 598
  • [9] Genome-Wide Association Mapping of Seed Coat Color in Brassica napus
    Wang, Jia
    Xian, Xiaohua
    Xu, Xinfu
    Qu, Cunmin
    Lu, Kun
    Li, Jiana
    Liu, Liezhao
    JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2017, 65 (26) : 5229 - 5237
  • [10] Genome-wide association study of soybean seed germination under drought stress
    Liu, Zhangxiong
    Li, Huihui
    Gou, Zuowang
    Zhang, Yanjun
    Wang, Xingrong
    Ren, Honglei
    Wen, Zixiang
    Kang, Beom-Kyu
    Li, Yinghui
    Yu, Lili
    Gao, Huawei
    Wang, Dechun
    Qi, Xusheng
    Qiu, Lijuan
    MOLECULAR GENETICS AND GENOMICS, 2020, 295 (03) : 661 - 673