Genetic Analysis of Soybean Flower Size Phenotypes Based on Computer Vision and Genome-Wide Association Studies

被引:0
|
作者
Jin, Song [1 ]
Tian, Huilin [1 ]
Ti, Ming [1 ]
Song, Jia [1 ]
Hu, Zhenbang [1 ,2 ]
Zhang, Zhanguo [2 ,3 ]
Xin, Dawei [1 ,2 ]
Chen, Qingshan [1 ,2 ]
Zhu, Rongsheng [2 ,3 ]
机构
[1] Northeast Agr Univ, Coll Agr, Harbin 150030, Peoples R China
[2] Natl Key Lab Smart Farm Technolog & Syst, Harbin 150030, Peoples R China
[3] Northeast Agr Univ, Coll Arts & Sci, Harbin 150030, Peoples R China
基金
黑龙江省自然科学基金;
关键词
phenomics; computer vision; genome-wide association studies; haplotype analysis; soybean organ development; SBP-BOX GENE; ORGAN SIZE; PROTEIN; GROWTH; OIL; IDENTIFICATION; SHAPE; ARCHITECTURE; LINKAGE; TRAITS;
D O I
10.3390/ijms25147622
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The dimensions of organs such as flowers, leaves, and seeds are governed by processes of cellular proliferation and expansion. In soybeans, the dimensions of these organs exhibit a strong correlation with crop yield, quality, and other phenotypic traits. Nevertheless, there exists a scarcity of research concerning the regulatory genes influencing flower size, particularly within the soybean species. In this study, 309 samples of 3 soybean types (123 cultivar, 90 landrace, and 96 wild) were re-sequenced. The microscopic phenotype of soybean flower organs was photographed using a three-eye microscope, and the phenotypic data were extracted by means of computer vision. Pearson correlation analysis was employed to assess the relationship between petal and seed phenotypes, revealing a strong correlation between the sizes of these two organs. Through GWASs, SNP loci significantly associated with flower organ size were identified. Subsequently, haplotype analysis was conducted to screen for upstream and downstream genes of these loci, thereby identifying potential candidate genes. In total, 77 significant SNPs associated with vexil petals, 562 significant SNPs associated with wing petals, and 34 significant SNPs associated with keel petals were found. Candidate genes were screened by candidate sites, and haplotype analysis was performed on the candidate genes. Finally, the present investigation yielded 25 and 10 genes of notable significance through haplotype analysis in the vexil and wing regions, respectively. Notably, Glyma.07G234200, previously documented for its high expression across various plant organs, including flowers, pods, leaves, roots, and seeds, was among these identified genes. The research contributes novel insights to soybean breeding endeavors, particularly in the exploration of genes governing organ development, the selection of field materials, and the enhancement of crop yield. It played a role in the process of material selection during the growth period and further accelerated the process of soybean breeding material selection.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Genome-wide association studies dissect the genetic networks underlying agronomical traits in soybean
    Fang, Chao
    Ma, Yanming
    Wu, Shiwen
    Liu, Zhi
    Wang, Zheng
    Yang, Rui
    Hu, Guanghui
    Zhou, Zhengkui
    Yu, Hong
    Zhang, Min
    Pan, Yi
    Zhou, Guoan
    Ren, Haixiang
    Du, Weiguang
    Yan, Hongrui
    Wang, Yanping
    Han, Dezhi
    Shen, Yanting
    Liu, Shulin
    Liu, Tengfei
    Zhang, Jixiang
    Qin, Hao
    Yuan, Jia
    Yuan, Xiaohui
    Kong, Fanjiang
    Liu, Baohui
    Li, Jiayang
    Zhang, Zhiwu
    Wang, Guodong
    Zhu, Baoge
    Tian, Zhixi
    GENOME BIOLOGY, 2017, 18
  • [2] Multiple phenotypes in genome-wide genetic mapping studies
    Ott, Jurg
    Wang, Jing
    PROTEIN & CELL, 2011, 2 (07) : 519 - 522
  • [3] Comprehensive Genome-Wide Association Analysis Reveals the Genetic Basis of Root System Architecture in Soybean
    Seck, Waldiodio
    Torkamaneh, Davoud
    Belzile, Francois
    FRONTIERS IN PLANT SCIENCE, 2020, 11
  • [4] Improving power of genome-wide association studies via transforming ordinal phenotypes into continuous phenotypes
    Yang, Ming
    Wen, Yangjun
    Zheng, Jinchang
    Zhang, Jin
    Zhao, Tuanjie
    Feng, Jianying
    FRONTIERS IN PLANT SCIENCE, 2023, 14
  • [5] Genetic dissection of hexanol content in soybean seed through genome-wide association analysis
    Xia Ning
    Yan Wen-bing
    Wang Xiao-qi
    Shao Yu-peng
    Yang Ming-ming
    Wang Zhi-kun
    Zhan Yu-hang
    Teng Wei-li
    Han Ying-peng
    Shi Yan-guo
    JOURNAL OF INTEGRATIVE AGRICULTURE, 2019, 18 (06) : 1222 - 1229
  • [6] Pathway-based analysis of genome-wide association study of circadian phenotypes
    Zhu, Didi
    Yuan, Jiamin
    Zhu, Rui
    Wang, Yao
    Qian, Zhiyong
    Zou, Jiangang
    JOURNAL OF BIOMEDICAL RESEARCH, 2018, 32 (05): : 361 - 370
  • [7] Pathway-based analysis of genome-wide association study of circadian phenotypes
    Didi Zhu
    Jiamin Yuan
    Rui Zhu
    Yao Wang
    Zhiyong Qian
    Jiangang Zou
    TheJournalofBiomedicalResearch, 2018, 32 (05) : 361 - 370
  • [8] Genome-Wide Association Analysis-Based Mining of Quality Genes Related to Linoleic and Linolenic Acids in Soybean
    Wang, Jiabao
    Liu, Lu
    Zhang, Qi
    Sun, Tingting
    Wang, Piwu
    AGRICULTURE-BASEL, 2023, 13 (12):
  • [9] Genome-wide association and transcriptional studies reveal novel genes for unsaturated fatty acid synthesis in a panel of soybean accessions
    Zhao, Xue
    Jiang, Haipeng
    Feng, Lei
    Qu, Yingfan
    Teng, Weili
    Qiu, Lijuan
    Zheng, Hongkun
    Han, Yingpeng
    Li, Wenbin
    BMC GENOMICS, 2019, 20 (1)
  • [10] Genome-Wide Association Study and Candidate Gene Mining of Seed Size Traits in Soybean
    Zhang, Pu
    Yang, Zhiya
    Jia, Shihao
    Chen, Guoliang
    Li, Nannan
    Karikari, Benjamin
    Cao, Yongce
    AGRONOMY-BASEL, 2024, 14 (06):