IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i9p1627-d1479691.html
   My bibliography  Save this article

Genome-Wide Association Analysis for Submergence Tolerance at the Early Vegetative and Germination Stages in Wild Soybean ( Glycine soja )

Author

Listed:
  • Hai Anh Tran

    (Department of Applied Biosciences, Kyungpook National University, Daegu 41566, Republic of Korea
    Division of Vegetables and Spicy Crops, Fruit and Vegetable Research Institute, Gia Lam, Hanoi 10000, Vietnam)

  • Hyun Jo

    (Department of Applied Biosciences, Kyungpook National University, Daegu 41566, Republic of Korea)

  • Thi Cuc Nguyen

    (Department of Applied Biosciences, Kyungpook National University, Daegu 41566, Republic of Korea)

  • Jeong-Dong Lee

    (Department of Applied Biosciences, Kyungpook National University, Daegu 41566, Republic of Korea)

  • Hak Soo Seo

    (Department of Agriculture, Forestry and Bioresources, Seoul National University, Seoul 08826, Republic of Korea)

  • Jong Tae Song

    (Department of Applied Biosciences, Kyungpook National University, Daegu 41566, Republic of Korea)

Abstract

Cultivated soybean is an important legume crop that is generally sensitive to flooding stress, including submergence and waterlogging treatments. Wild soybeans, the ancestor of cultivated soybeans, have been potential genetic resources for resistance to abiotic or biotic stresses. The present study aimed to evaluate 163 wild soybean accessions for foliar damages at the early vegetative stage and 105 accessions for germination rates, normal seedling rates, and electrical conductivity at the germination stage under submergence stress. In addition, a genome-wide association study (GWAS) was conducted to identify genomic regions associated with phenotypic measurements at these two growth stages by using MLM and FarmCPU models with publicly available genotypic data. The phenotypic evaluation revealed six and three accessions were tolerant to submergence at the early vegetative and germination stages, respectively. Notably, only one wild soybean accession showed a tolerance reaction to submergence at two stages. Through GWAS analysis, 16 and 20 SNPs across different chromosomes were determined for the submergence-related traits at the early vegetative and germination stages, respectively. Based on the linkage disequilibrium block on the detected genomic regions, ten and four putative genes were identified at the early vegetative and germination stages, respectively. Of these genes, certain genes may be related to submergence stress in wild soybeans. Further studies should be performed to validate the function of these putative genes in the responses of wild soybeans to submergence stress.

Suggested Citation

  • Hai Anh Tran & Hyun Jo & Thi Cuc Nguyen & Jeong-Dong Lee & Hak Soo Seo & Jong Tae Song, 2024. "Genome-Wide Association Analysis for Submergence Tolerance at the Early Vegetative and Germination Stages in Wild Soybean ( Glycine soja )," Agriculture, MDPI, vol. 14(9), pages 1-17, September.
  • Handle: RePEc:gam:jagris:v:14:y:2024:i:9:p:1627-:d:1479691
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/9/1627/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/14/9/1627/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jeremy Schmutz & Steven B. Cannon & Jessica Schlueter & Jianxin Ma & Therese Mitros & William Nelson & David L. Hyten & Qijian Song & Jay J. Thelen & Jianlin Cheng & Dong Xu & Uffe Hellsten & Gregory , 2010. "Genome sequence of the palaeopolyploid soybean," Nature, Nature, vol. 463(7278), pages 178-183, January.
    2. Jeremy Schmutz & Steven B. Cannon & Jessica Schlueter & Jianxin Ma & Therese Mitros & William Nelson & David L. Hyten & Qijian Song & Jay J. Thelen & Jianlin Cheng & Dong Xu & Uffe Hellsten & Gregory , 2010. "Erratum: Genome sequence of the palaeopolyploid soybean," Nature, Nature, vol. 465(7294), pages 120-120, May.
    3. Myung-Shin Kim & Roberto Lozano & Ji Hong Kim & Dong Nyuk Bae & Sang-Tae Kim & Jung-Ho Park & Man Soo Choi & Jaehyun Kim & Hyun-Choong Ok & Soo-Kwon Park & Michael A. Gore & Jung-Kyung Moon & Soon-Chu, 2021. "The patterns of deleterious mutations during the domestication of soybean," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    4. Xiaolei Liu & Meng Huang & Bin Fan & Edward S Buckler & Zhiwu Zhang, 2016. "Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies," PLOS Genetics, Public Library of Science, vol. 12(2), pages 1-24, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yukari Nagatoshi & Kenta Ikazaki & Yasufumi Kobayashi & Nobuyuki Mizuno & Ryohei Sugita & Yumiko Takebayashi & Mikiko Kojima & Hitoshi Sakakibara & Natsuko I. Kobayashi & Keitaro Tanoi & Kenichiro Fuj, 2023. "Phosphate starvation response precedes abscisic acid response under progressive mild drought in plants," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    2. Octavio R. Salazar & Ke Chen & Vanessa J. Melino & Muppala P. Reddy & Eva Hřibová & Jana Čížková & Denisa Beránková & Juan Pablo Arciniegas Vega & Lina María Cáceres Leal & Manuel Aranda & Lukasz Jare, 2024. "SOS1 tonoplast neo-localization and the RGG protein SALTY are important in the extreme salinity tolerance of Salicornia bigelovii," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
    3. Wolfgang Goettel & Hengyou Zhang & Ying Li & Zhenzhen Qiao & He Jiang & Dianyun Hou & Qijian Song & Vincent R. Pantalone & Bao-Hua Song & Deyue Yu & Yong-qiang Charles An, 2022. "POWR1 is a domestication gene pleiotropically regulating seed quality and yield in soybean," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    4. Shichen Li & Zhihui Sun & Qing Sang & Chao Qin & Lingping Kong & Xin Huang & Huan Liu & Tong Su & Haiyang Li & Milan He & Chao Fang & Lingshuang Wang & Shuangrong Liu & Bin Liu & Baohui Liu & Xiangdon, 2023. "Soybean reduced internode 1 determines internode length and improves grain yield at dense planting," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    5. Isaac Njaci & Bernice Waweru & Nadia Kamal & Meki Shehabu Muktar & David Fisher & Heidrun Gundlach & Collins Muli & Lucy Muthui & Mary Maranga & Davies Kiambi & Brigitte L. Maass & Peter M. F. Emmrich, 2023. "Chromosome-level genome assembly and population genomic resource to accelerate orphan crop lablab breeding," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    6. Jerzy H. Czembor & Elzbieta Czembor & Marcin Krystek & Juliusz Pukacki, 2023. "AgroGenome: Interactive Genomic-Based Web Server Developed Based on Data Collected for Accessions Stored in Polish Genebank," Agriculture, MDPI, vol. 13(1), pages 1-16, January.
    7. Weidong Wang & Liyang Chen & Kevin Fengler & Joy Bolar & Victor Llaca & Xutong Wang & Chancelor B. Clark & Tomara J. Fleury & Jon Myrvold & David Oneal & Maria Magdalena Dyk & Ashley Hudson & Jesse Mu, 2021. "A giant NLR gene confers broad-spectrum resistance to Phytophthora sojae in soybean," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    8. Jiaqi Sun & Shiyu Huang & Qing Lu & Shuo Li & Shizhen Zhao & Xiaojian Zheng & Qian Zhou & Wenxiao Zhang & Jie Li & Lili Wang & Ke Zhang & Wenyu Zheng & Xianzhong Feng & Baohui Liu & Fanjiang Kong & Fe, 2023. "UV-B irradiation-activated E3 ligase GmILPA1 modulates gibberellin catabolism to increase plant height in soybean," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    9. Xiao Feng & Qipian Chen & Weihong Wu & Jiexin Wang & Guohong Li & Shaohua Xu & Shao Shao & Min Liu & Cairong Zhong & Chung-I Wu & Suhua Shi & Ziwen He, 2024. "Genomic evidence for rediploidization and adaptive evolution following the whole-genome triplication," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    10. Jessen V. Bredeson & Jessica B. Lyons & Ibukun O. Oniyinde & Nneka R. Okereke & Olufisayo Kolade & Ikenna Nnabue & Christian O. Nwadili & Eva Hřibová & Matthew Parker & Jeremiah Nwogha & Shengqiang Sh, 2022. "Chromosome evolution and the genetic basis of agronomically important traits in greater yam," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    11. Aron Park & Se-Hee Kang & Byeong-Hee Kang & Sreeparna Chowdhury & Seo-Young Shin & Won-Ho Lee & Jeong-Dong Lee & Sungwoo Lee & Yu-Mi Choi & Bo-Keun Ha, 2023. "Identification of a Novel KTi-1 Allele Associated with Reduced Trypsin Inhibitor Activity in Soybean Accessions," Agriculture, MDPI, vol. 13(11), pages 1-14, October.
    12. Rahul Kumar & Prashant Swapnil & Mukesh Meena & Shweta Selpair & Bal Govind Yadav, 2022. "Plant Growth-Promoting Rhizobacteria (PGPR): Approaches to Alleviate Abiotic Stresses for Enhancement of Growth and Development of Medicinal Plants," Sustainability, MDPI, vol. 14(23), pages 1-16, November.
    13. David Wickell & Li-Yaung Kuo & Hsiao-Pei Yang & Amra Dhabalia Ashok & Iker Irisarri & Armin Dadras & Sophie de Vries & Jan de Vries & Yao-Moan Huang & Zheng Li & Michael S. Barker & Nolan T. Hartwick , 2021. "Underwater CAM photosynthesis elucidated by Isoetes genome," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    14. Zilong Guo & Hongrui Cao & Jing Zhao & Shuang Bai & Wenting Peng & Jian Li & Lili Sun & Liyu Chen & Zhihao Lin & Chen Shi & Qing Yang & Yongqing Yang & Xiurong Wang & Jiang Tian & Zhichang Chen & Hong, 2022. "A natural uORF variant confers phosphorus acquisition diversity in soybean," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    15. Justin N. Vaughn & Sandra E. Branham & Brian Abernathy & Amanda M. Hulse-Kemp & Adam R. Rivers & Amnon Levi & William P. Wechter, 2022. "Graph-based pangenomics maximizes genotyping density and reveals structural impacts on fungal resistance in melon," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    16. Zhanwei Zhuang & Shaoyun Li & Rongrong Ding & Ming Yang & Enqin Zheng & Huaqiang Yang & Ting Gu & Zheng Xu & Gengyuan Cai & Zhenfang Wu & Jie Yang, 2019. "Meta-analysis of genome-wide association studies for loin muscle area and loin muscle depth in two Duroc pig populations," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-21, June.
    17. Guangbao Guo & Guoqi Qian & Lu Lin & Wei Shao, 2021. "Parallel inference for big data with the group Bayesian method," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 84(2), pages 225-243, February.
    18. Gianola, Daniel & Fernando, Rohan L. & Schön, Chris-Carolin, 2020. "Inferring trait-specific similarity among individuals from molecular markers and phenotypes with Bayesian regression," Theoretical Population Biology, Elsevier, vol. 132(C), pages 47-59.
    19. Xiaojun Mao & Somak Dutta & Raymond K. W. Wong & Dan Nettleton, 2020. "Adjusting for Spatial Effects in Genomic Prediction," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 25(4), pages 699-718, December.
    20. Ganwen Zhang & Jianini Zhao & Jieru Wang & Guo Lin & Lin Li & Fengfei Ban & Meiting Zhu & Yangjun Wen & Jin Zhang, 2024. "An Improved Expectation–Maximization Bayesian Algorithm for GWAS," Mathematics, MDPI, vol. 12(13), pages 1-14, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:14:y:2024:i:9:p:1627-:d:1479691. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.