Genome-wide association study and RNA-seq identifies GmWRI1-like transcription factor related to the seed weight in soybean

被引:2
|
作者
Di, Qin [1 ,2 ]
Dong, Lidong [2 ]
Jiang, Li [2 ]
Liu, Xiaoyi [3 ]
Cheng, Ping [1 ]
Liu, Baohui [2 ]
Yu, Guohui [1 ]
机构
[1] Zhongkai Univ Agr & Engn, Innovat Inst Plant Hlth, Guangzhou, Peoples R China
[2] Guangzhou Univ, Coll Life Sci, Innovat Ctr Mol Genet & Evolut, Guangzhou, Guangdong, Peoples R China
[3] Guangzhou Univ Chinese Med, Res Ctr Integrat Med, Sch Basic Med Sci, Guangzhou, Guangdong, Peoples R China
来源
FRONTIERS IN PLANT SCIENCE | 2023年 / 14卷
关键词
soybean; seed weight; oil content; GWAS; candidate gene; QUANTITATIVE TRAIT LOCI; OIL; GENES; OVEREXPRESSION; EXPRESSION; PROTEIN; SIZE;
D O I
10.3389/fpls.2023.1268511
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
The cultivated soybean (Glycine max (L.) Merrill) is domesticated from wild soybean (Glycine soja) and has heavier seeds with a higher oil content than the wild soybean. In this study, we identified a novel candidate gene associated with SW using a genome-wide association study (GWAS). The candidate gene GmWRI14-like was detected by GWAS analysis in three consecutive years. By constructing transgenic soybeans overexpressing the GmWRI14-like gene and gmwri14-like soybean mutants, we found that overexpression of GmWRI14-like increased the SW and increased total fatty acid content. We then used RNA-seq and qRT-PCR to identify the target genes directly or indirectly regulated by GmWRI14-like. Transgenic soyabeans overexpressing GmWRI14-like showed increased accumulation of GmCYP78A50 and GmCYP78A69 than non-transgenic soybean lines. Interestingly, we also found that GmWRI14-like proteins could interact with GmCYP78A69/GmCYP78A50 using yeast two-hybrid and bimolecular fluorescence complementation. Our results not only shed light on the genetic architecture of cultivated soybean SW, but also lays a theoretical foundation for improving the SW and oil content of soybeans.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] 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)
  • [2] Genome-Wide Association and RNA-Seq Analyses Reveal a Potential Candidate Gene Related to Oil Content in Soybean Seeds
    Jia, Hongchang
    Han, Dezhi
    Yan, Xiaofei
    Zhang, Lei
    Liang, Jili
    Lu, Wencheng
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2024, 25 (15)
  • [3] Genome-wide association and RNA-seq analyses reveal a potential gene related to linolenic acid in soybean seeds
    Qin, Di
    Xing, Jiehua
    Cheng, Ping
    Yu, Guohui
    PEERJ, 2023, 11
  • [4] Genome-wide association studies of plant architecture-related traits and 100-seed weight in soybean landraces
    Zhang, Xiaoli
    Ding, Wentao
    Xue, Dong
    Li, Xiangnan
    Zhou, Yang
    Shen, Jiacheng
    Feng, Jianying
    Guo, Na
    Qiu, Lijuan
    Xing, Han
    Zhao, Jinming
    BMC GENOMIC DATA, 2021, 22 (01):
  • [5] Integration of RNA-Seq profiling with genome-wide association study predicts candidate genes for oil accumulation in soybean
    Niu, Yuan
    Zhang, Guoliang
    Wan, Faxiang
    Zhang, Yuan-Ming
    CROP & PASTURE SCIENCE, 2020, 71 (11-12) : 996 - 1009
  • [6] RNA-Seq and Genome-Wide Association Studies Reveal Potential Genes for Rice Seed Shattering
    Wu, Linxuan
    Yue, Jicheng
    Wang, Jiafeng
    Lu, Wenyu
    Huang, Ming
    Guo, Tao
    Wang, Hui
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (23)
  • [7] A genome-wide association study of seed composition traits in wild soybean (Glycine soja)
    Leamy, Larry J.
    Zhang, Hengyou
    Li, Changbao
    Chen, Charles Y.
    Song, Bao-Hua
    BMC GENOMICS, 2017, 18
  • [8] A genome-wide association study of seed composition traits in wild soybean (Glycine soja)
    Larry J. Leamy
    Hengyou Zhang
    Changbao Li
    Charles Y. Chen
    Bao-Hua Song
    BMC Genomics, 18
  • [9] Identification of QTL with large effect on seed weight in a selective population of soybean with genome-wide association and fixation index analyses
    Yan, Long
    Hofmann, Nicolle
    Li, Shuxian
    Ferreira, Marcio Elias
    Song, Baohua
    Jiang, Guoliang
    Ren, Shuxin
    Quigley, Charles
    Fickus, Edward
    Cregan, Perry
    Song, Qijian
    BMC GENOMICS, 2017, 18
  • [10] Genome-Wide Association Study Identifies Candidate Genes Related to the Linoleic Acid Content in Soybean Seeds
    Di, Qin
    Piersanti, Angela
    Zhang, Qi
    Miceli, Cristina
    Li, Hui
    Liu, Xiaoyi
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (01)