Genome-wide association mapping in exotic x Canadian elite crosses: mining beneficial alleles for agronomic and seed composition traits in soybean

被引:0
作者
Fortune, Katherine [1 ]
Torabi, Sepideh [1 ]
Eskandari, Milad [1 ]
机构
[1] Univ Guelph, Dept Plant Agr, Plant Agr, Guelph, ON, Canada
来源
FRONTIERS IN PLANT SCIENCE | 2024年 / 15卷
关键词
soybean; nested association mapping; yield; MTAS; GWAS; exotic lines; enhancing germplasm;
D O I
10.3389/fpls.2024.1490767
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Given the narrow genetic base of North American soybean germplasm, which originates from approximately 35 ancestral lines, discovering and introducing useful diversity for key traits in exotic germplasm could potentially enhance diversity in the current elite gene pool. This study explores the potential of exotic germplasm to enhance yield and agronomic traits in the University of Guelph soybean germplasm. We utilized a nested association mapping (NAM) design to develop a population (n = 294) composed of crosses of high-yielding Canadian elite cultivar, OAC Bruton, with four high-yielding exotic lines developed at USDA (Urbana, IL), and we mapped the genetic architecture of agronomic and seed composition traits using association mapping methods. The analysis across three Southwestern Ontario environments revealed seven unique genomic regions underlying agronomic traits and four for seed composition traits, with both desirable and undesirable alleles from the exotic parents. Notably, a region on chromosome 10, co-locating to the E2 maturity locus, was found to be associated with seed yield and maturity. The allele that increased yield by 166 kg/ha was contributed by all exotic parents and was absent in the Canadian-adapted parent. The study underscores the potential of using exotic germplasm to introduce novel genetic diversity into the Canadian elite soybean breeding pool. By identifying exotic-derived beneficial alleles, our findings offer a pathway for enhancing agronomic traits in Canadian soybeans with novel exotic diversity.
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页数:17
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共 42 条
  • [1] Fitting Linear Mixed-Effects Models Using lme4
    Bates, Douglas
    Maechler, Martin
    Bolker, Benjamin M.
    Walker, Steven C.
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2015, 67 (01): : 1 - 48
  • [2] Nested association mapping of important agronomic traits in three interspecific soybean populations
    Beche, Eduardo
    Gillman, Jason D.
    Song, Qijian
    Nelson, Randall
    Beissinger, Tim
    Decker, Jared
    Shannon, Grover
    Scaboo, Andrew M.
    [J]. THEORETICAL AND APPLIED GENETICS, 2020, 133 (03) : 1039 - 1054
  • [3] Genotype Imputation with Millions of Reference Samples
    Browning, Brian L.
    Browning, Sharon R.
    [J]. AMERICAN JOURNAL OF HUMAN GENETICS, 2016, 98 (01) : 116 - 126
  • [4] Trends in Soybean Trait Improvement over Generations of Selective Breeding
    Bruce, Robert W.
    Grainger, Christopher M.
    Ficht, Alexandra
    Eskandari, Mehrzad
    Rajcan, Istvan
    [J]. CROP SCIENCE, 2019, 59 (05) : 1870 - 1879
  • [5] Genome-wide genetic diversity is maintained through decades of soybean breeding in Canada
    Bruce, Robert W.
    Torkamaneh, Davoud
    Grainger, Christopher
    Belzile, Francois
    Eskandari, Milad
    Rajcan, Istvan
    [J]. THEORETICAL AND APPLIED GENETICS, 2019, 132 (11) : 3089 - 3100
  • [6] Identification of novel loci associated with maturity and yield traits in early maturity soybean plant introduction lines
    Copley, Tanya R.
    Duceppe, Marc-Olivier
    O'Donoughue, Louise S.
    [J]. BMC GENOMICS, 2018, 19
  • [7] Genetic architecture of protein and oil content in soybean seed and meal
    Diers, Brian W.
    Specht, James E.
    Graef, George L.
    Song, Qijian
    Rainey, Katy Martin
    Ramasubramanian, Vishnu
    Liu, Xiaotong
    Myers, Chad L.
    Stupar, Robert M.
    An, Yong-Qiang Charles
    Beavis, William D.
    [J]. PLANT GENOME, 2023, 16 (01)
  • [8] Genetic Architecture of Soybean Yield and Agronomic Traits
    Diers, Brian W.
    Specht, Jim
    Rainey, Katy Martin
    Cregan, Perry
    Song, Qijian
    Ramasubramanian, Vishnu
    Graef, George
    Nelson, Randall
    Schapaugh, William
    Wang, Dechun
    Shannon, Grover
    McHale, Leah
    Kantartzi, Stella K.
    Xavier, Alencar
    Mian, Rouf
    Stupar, Robert M.
    Michno, Jean-Michel
    An, Yong-Qiang Charles
    Goettel, Wolfgang
    Ward, Russell
    Fox, Carolyn
    Lipka, Alexander E.
    Hyten, David
    Cary, Troy
    Beavis, William D.
    [J]. G3-GENES GENOMES GENETICS, 2018, 8 (10): : 3367 - 3375
  • [9] 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
    [J]. GENOME BIOLOGY, 2017, 18
  • [10] Ten Years of the Maize Nested Association Mapping Population: Impact, Limitations, and Future Directions
    Gage, Joseph L.
    Monier, Brandon
    Giri, Anju
    Buckler, Edward S.
    [J]. PLANT CELL, 2020, 32 (07) : 2083 - 2093