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"Min-Jung Seo"

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"Min-Jung Seo"

Research Articles
Analysis of Agronomic Traits of Soybeans Adaptable to Northern Area of the Korean Peninsula
Myoung Ryoul Park, Min-Jung Seo, Hong-Tae Yun, Yong Hawn Ryu, Huhn Pal Moon, Dong Soon Kim
Plant Breed. Biotech. 2019;7(4):386-394.   Published online December 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.4.386

We have conducted this study to select soybeans adaptable to North Korea using growing degree days (GDD) as a heuristic tool. For analyzing climatic conditions, we assumed that climatic conditions of Longjing, Donggang, and Yeoncheon are similar to the Eastern Coast Northern Zone, Suyangsan Northern Zone, and Suyangsan Southern Zone in North Korea, respectively. The predicted days to flowering of 100 soybeans grown at Longjing, Donggang, and Yeoncheon were in ranges from 7/17 to 7/30, from 7/16 to 7/28, and from 7/30 to 8/10, respectively, while the last date of flowering for completely harvesting were predicted by July 12th, August 2nd, and August 11th, respectively. The predicted days to flowering using GDD were almost similar to the days investigated in the three fields. These results showed that GDD is highly effective in predicting development rates of soybean, such as days to flowering and days to maturity. Although most of the tested soybeans were difficult to adapt to Longjing, we selected 12, 15, and 16 soybean varieties/lines based on the predicted days to flowering and last date of flowering for completely harvesting and yield of the soybeans grown at Longjing, Donggang and Yeoncheon, respectively, for further analyzing effects of the regional characteristics on agricultural traits of the selected soybeans. The 100-seed weight and yield of the selected soybeans grown at Longjing was significantly low compared with those at the other locations. The results implied that the soybeans would be exposed to freezing temperature before R6 stage and the reduced size would contribute to soybean yield loss. Taken together, we concluded that Suwon212, Iksan13 and ‘Shinpaldalkong2’ which were stable in degree of lodging, 100-seed weight, and yield at Donggang and Yeoncheon could be adaptable to Suyangsan Northern Zone, and Suyangsan Southern Zone in North Korea.

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  • Estimation of Soybean Yield by Combining Maturity Group Information and Unmanned Aerial Vehicle Multi-Sensor Data Using Machine Learning
    Pengting Ren, Heli Li, Shaoyu Han, Riqiang Chen, Guijun Yang, Hao Yang, Haikuan Feng, Chunjiang Zhao
    Remote Sensing.2023; 15(17): 4286.     CrossRef
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Genome-wide RNA-seq Analysis of Differentially Expressed Transcription Factor Genes Against Bacterial Leaf Pustule in Soybean
Kil Hyun Kim, Yang Jae Kang, Sangrea Shim, Min-Jung Seo, Seong-Bum Baek, Jeom-Ho Lee, Sang Koo Park, Tae Hwan Jun, Jung-Kyung Moon, Suk-Ha Lee, Chang-Hwan Park
Plant Breed. Biotech. 2015;3(3):197-207.   Published online September 30, 2015
DOI: https://doi.org/10.9787/PBB.2015.3.3.197

Bacterial leaf pustule (BLP) caused by Xanthomonas axonopodis pv. glycines (Xag) is a serious disease in soybean. To investigate the role of transcription factors (TFs) in plant defense mechanisms under Xag treatment, soybean near-isogenic lines (NILs) carrying BLP-susceptible and BLP-resistant allele were analyzed by RNA-seq. A total of 2,415 differentially expressed genes were identified at 0, 6, and 12 hr after Xag infection. Using SoyDB and SoybeanTFDB (soybean TF databases), a total of 351 differentially expressed TF genes were identified, of which 80% were top ten major TF families. Among 351 TF genes, 263 and 40 were up-regulated and down-regulated, repectively, in BLP-resistant NIL compared to that in BLP-susceptible NIL at the three time points (0, 6, and 12 hr) after Xag infection. The rest 48 TF genes were either up-regulated or down-regulated at each time period in BLP-resistant NIL. Most TF genes were highly up-regulated in the BLP-resistant NIL at 0 hr. Additionally, cis-regulatory elements (CREs) involving in regulation of stress-responsive transcription, ABRE, G-box, MYBR, MYCR, and W-box were investigated. A total of 1,092 downstream genes were identified. Our results will improve the understanding on how plant immunity occurs via TFs and CREs.

Citations

Citations to this article as recorded by  
  • Rotation crops as ecological niches for the survival of Xanthomonas citri pv. glycines and Curtobacterium flaccumfaciens pv. flaccumfaciens in soybean systems
    Luana Laurindo de Melo, Daniele Maria do Nascimento, Marcos Giovane Pedroza de Abreu, José Marcelo Soman, Tadeu Antônio Fernandes da Silva Júnior
    Tropical Plant Pathology.2026;[Epub]     CrossRef
  • Bacterial Pustule Disease in Soybean: Occurrence, Host–Pathogen Interactions and Management
    Su‐Yan Wang, Yong‐Hui Jiang, Zi‐Yao Huo, Shi‐Ling Zhang, Xin‐Chi Shi, Daniela D. Herrera‐Balandrano, Guo‐Liang Qian, Sang‐Wook Han, Wei Guo, Gong‐You Chen, Feng‐Quan Liu, Pedro Laborda
    Plant Pathology.2025; 74(7): 1941.     CrossRef
  • Advanced biotechnology techniques for disease resistance in soybean: a comprehensive review
    Hailay Mehari Gebremedhn, Micheale Yifter Weldemichael, Miesho Belay Weldekidan
    Discover Applied Sciences.2024;[Epub]     CrossRef
  • Transcription-Aided Selection (TAS) for Crop Disease Resistance: Strategy and Evidence
    Jiu Huang, Guangxun Qi, Mei Li, Yue Yu, Erte Zhang, Yuhui Liu
    International Journal of Molecular Sciences.2024; 25(22): 11879.     CrossRef
  • Current Status and Future Prospects in Genomic Research and Breeding for Resistance to Xanthomonas citri pv. glycines in Soybean
    Ruihua Zhao, In-Jeong Kang, Sungwoo Lee
    Agronomy.2023; 13(2): 490.     CrossRef
  • Genome‐wide association study reveals molecular markers and genes potentially associated with soybean (Glycine max) resistance to Xanthomonas citri pv. glycines
    Pollyanna Capobiango da Fonseca, Rosângela Maria Barbosa, Dalton de Oliveira Ferreira, Jorge Luis Badel, Ivan Schuster, Rogerio Faria Vieira, Felipe Lopes da Silva
    Plant Breeding.2022; 141(1): 37.     CrossRef
  • Generation and Transcriptome Profiling of Slr1-d7 and Slr1-d8 Mutant Lines with a New Semi-Dominant Dwarf Allele of SLR1 Using the CRISPR/Cas9 System in Rice
    Yu Jin Jung, Jong Hee Kim, Hyo Ju Lee, Dong Hyun Kim, Jihyeon Yu, Sangsu Bae, Yong-Gu Cho, Kwon Kyoo Kang
    International Journal of Molecular Sciences.2020; 21(15): 5492.     CrossRef
  • Transcriptome analysis of soybean WRKY TFs in response to Peronospora manshurica infection
    Hang Dong, Jie Tan, Mei Li, Yue Yu, Shirong Jia, Chong Zhang, Yuanhua Wu, Yuhui Liu
    Genomics.2019; 111(6): 1412.     CrossRef
  • Comparison of gene co-networks reveals the molecular mechanisms of the rice (Oryza sativa L.) response to Rhizoctonia solani AG1 IA infection
    Jinfeng Zhang, Wenjuan Zhao, Rong Fu, Chenglin Fu, Lingxia Wang, Huainian Liu, Shuangcheng Li, Qiming Deng, Shiquan Wang, Jun Zhu, Yueyang Liang, Ping Li, Aiping Zheng
    Functional & Integrative Genomics.2018; 18(5): 545.     CrossRef
  • Comparison of gene co-networks analysis provide a systems view of rice (Oryza sativa L.) response to Tilletia horrida infection
    Aijun Wang, Xinyue Shu, Xianyu Niu, Wenjuan Zhao, Peng Ai, Ping Li, Aiping Zheng, Zonghua Wang
    PLOS ONE.2018; 13(10): e0202309.     CrossRef
  • Transcriptomic analysis of genes in soybean in response to Peronospora manshurica infection
    Hang Dong, Shuangfeng Shi, Chong Zhang, Sihui Zhu, Mei Li, Jie Tan, Yue Yu, Liping Lin, Shirong Jia, Xujing Wang, Yuanhua Wu, Yuhui Liu
    BMC Genomics.2018;[Epub]     CrossRef
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Inheritance and Quantitative Trait Loci Analysis of Resistance Genes to Bruchid and Bean Bug in Mungbean (Vigna radiata L. Wilczek)
Myon-Gi Hong, Kil-Hyun Kim, Ja-Hwan Ku, Jin-Kyo Jeong, Min-Jung Seo, Chang-Hwan Park, Yul-Ho Kim, Hong-Sik Kim, Yong-Kwon Kim, So-Hyeon Baek, Dool-Yi Kim, Su-Kwon Park, Sun-Lim Kim, Jung-Kyung Moon
Plant Breed. Biotech. 2015;3(1):39-46.   Published online March 31, 2015
DOI: https://doi.org/10.9787/PBB.2015.3.1.039

Bruchid (Callosobruchus chinenesis L.) and pod sucking bug (Riptortus clavatus Thunberg) are serious insect pests during the reproduction stage and seed storage period of legume crops worldwide. However, few sources of resistance to each of these insects have been identified and characterized, and no genetic studies have been carried out with simultaneous tests of these two insects. In this study, the inheritance of seed resistance to Callosobruchus chinenesis L. and Riptortus clavatus Thunberg was examined in a mungbean cultivar, Jangan mungbean, which was developed by backcrossing with the V2709 resistant donor. The F1, F2, and F3 seed generations were developed from the cross between susceptible and resistant parents, and evaluated for resistance to the two insects. It was found that resistance to bruchid and bean bug was controlled by a single dominant gene in the F1 and F2 seeds. However, the segregation pattern of reciprocal reaction to each insect in F2 seeds showed seeds were susceptible to each insect. These results suggest that the resistance genes in Jangan mungbean to bug and weevil are either different or closely linked with each other. A genetic linkage map 13.7 cM in length with 6 markers was successfully constructed. Two QTLs were identified for bruchid resistance, and a QTL for bean bug resistance was detected. One of the QTLs for resistance to bruchid was shared with the QTL for bean bug. These newly developed closely linked markers will be used for cloning of the resistance genes to bruchid and bean bug in the future.

Citations

Citations to this article as recorded by  
  • Induction of Plant Defences and Production of Kaempferol‐7‐O‐Glucoside Against Spodoptera litura in Resistant Wild Mungbean
    Sook‐Kuan Lee, Bing‐Rong Chen, Chih‐Yu Lin, Cheng‐Hsiang Kuo, Yi‐Ju Chen, Ya‐Ping Lin, Yuan‐Yun Zhang, Ripley H. Tisdale, Cheng‐Ruei Lee, Wen‐Po Chuang, Hieng‐Ming Ting
    Plant, Cell & Environment.2026; 49(7): 4558.     CrossRef
  • Metabolic Discrimination of Mungbean (Vigna radiata L.) Sprout Depending on Growth Time from Multivariate Analysis of FT-IR Spectroscopy Data
    Song Yie Park, Yeong Jae Ah, Eun Ji Suh, Eun Bin Choi, Mi Ja Lee, Han Gyeol Lee, Woo Duck Seo, Yu-Na Kim, Seung-Yeob Song
    Korean Journal of Breeding Science.2024; 56(3): 269.     CrossRef
  • Genome-Wide Association Studies on Resistance to Pea Weevil: Identification of Novel Sources of Resistance and Associated Markers
    Salvador Osuna-Caballero, María J. Cobos, Carmen M. Ruiz, Osman Z. Wohor, Nicolas Rispail, Diego Rubiales
    International Journal of Molecular Sciences.2024; 25(14): 7920.     CrossRef
  • Next-Generation Sequencing in the Development of Climate-Resilient and Stress-Responsive Crops – A Review
    Amitava Roy, Suman Dutta, Sumanta Das, Malini Roy Choudhury
    The Open Biotechnology Journal.2024;[Epub]     CrossRef
  • Molecular mechanisms, genetic mapping, and genome editing for insect pest resistance in field crops
    Shabir H. Wani, Mukesh Choudhary, Rutwik Barmukh, Pravin K. Bagaria, Kajal Samantara, Ali Razzaq, Jagdish Jaba, Malick Niango Ba, Rajeev K. Varshney
    Theoretical and Applied Genetics.2022; 135(11): 3875.     CrossRef
  • Thirty Years of Mungbean Genome Research: Where Do We Stand and What Have We Learned?
    Prakit Somta, Kularb Laosatit, Xingxing Yuan, Xin Chen
    Frontiers in Plant Science.2022;[Epub]     CrossRef
  • Screening of endemic wild Vigna accessions for resistance to three bruchid species
    Revanasidda Aidbhavi, Aditya Pratap, Prasoon Verma, Amrit Lamichaney, Sanjay M. Bandi, S.D. Nitesh, Mohd Akram, Meenal Rathore, Bansa Singh, Narendra P. Singh
    Journal of Stored Products Research.2021; 93: 101864.     CrossRef
  • Two polygalacturonase-inhibiting proteins (VrPGIP) of Vigna radiata confer resistance to bruchids (Callosobruchus spp.)
    Qinxue Zhang, Qiang Yan, Xingxing Yuan, Yun Lin, Jingbin Chen, Ranran Wu, Chenchen Xue, Yuelin Zhu, Xin Chen
    Journal of Plant Physiology.2021; 258-259: 153376.     CrossRef
  • Biotic and Abiotic Constraints in Mungbean Production—Progress in Genetic Improvement
    Ramakrishnan M. Nair, Abhay K. Pandey, Abdul R. War, Bindumadhava Hanumantharao, Tun Shwe, AKMM Alam, Aditya Pratap, Shahid R. Malik, Rael Karimi, Emmanuel K. Mbeyagala, Colin A. Douglas, Jagadish Rane, Roland Schafleitner
    Frontiers in Plant Science.2019;[Epub]     CrossRef
  • Effects of radiofrequency on the development and performance of Callosobruchus chinensis (Coleoptera: Chrysomelidae: Bruchinae) on three different leguminous seeds
    Rameswor Maharjan, Hwijong Yi, Jeongjoon Ahn, Gwang Hyun Roh, Chunggyoo Park, Youngnam Yoon, Yunwoo Jang, Inyoul Baek, Yongchul Kim, Soondo Bae
    Applied Entomology and Zoology.2019; 54(3): 255.     CrossRef
  • Mung bean (Vigna radiata) cultivars mediated oviposition preference and development of Callosobruchus chinensis (Coleoptera: Chrysomelidae: Bruchinae)
    Rameswor Maharjan, Hwijong Yi, Hyuntae Kim, Youngnam Yoon, Yunwoo Jang, Soondo Bae
    Applied Entomology and Zoology.2018; 53(1): 55.     CrossRef
  • Bruchid pest management in pulses: past practices, present status and use of modern breeding tools for development of resistant varieties
    S.K. Mishra, M.L.R. Macedo, S.K. Panda, J. Panigrahi
    Annals of Applied Biology.2018; 172(1): 4.     CrossRef
  • Beans with Benefits—The Role of Mungbean (<i>Vigna radiate</i>) in a Changing Environment
    Lisa Pataczek, Zahir Ahmad Zahir, Maqshoof Ahmad, Saima Rani, Ramakrishnan Nair, Roland Schafleitner, Georg Cadisch, Thomas Hilger
    American Journal of Plant Sciences.2018; 09(07): 1577.     CrossRef
  • Novel Alleles of Two Tightly Linked Genes Encoding Polygalacturonase-Inhibiting Proteins (VrPGIP1 and VrPGIP2) Associated with the Br Locus That Confer Bruchid (Callosobruchus spp.) Resistance to Mungbean (Vigna radiata) Accession V2709
    Anochar Kaewwongwal, Jingbin Chen, Prakit Somta, Alisa Kongjaimun, Tarika Yimram, Xin Chen, Peerasak Srinives
    Frontiers in Plant Science.2017;[Epub]     CrossRef
  • Chilling susceptibility in mungbean varieties is associated with their differentially expressed genes
    Li-Ru Chen, Chia-Yun Ko, William R. Folk, Tsai-Yun Lin
    Botanical Studies.2017;[Epub]     CrossRef
  • Mechanism of Resistance in Mungbean [Vigna radiata (L.) R. Wilczek var. radiata] to bruchids, Callosobruchus spp. (Coleoptera: Bruchidae)
    Abdul R. War, Surya Murugesan, Venkata N. Boddepalli, Ramasamy Srinivasan, Ramakrishnan M. Nair
    Frontiers in Plant Science.2017;[Epub]     CrossRef
  • Identification of single nucleotide polymorphism markers associated with resistance to bruchids (Callosobruchus spp.) in wild mungbean (Vigna radiata var. sublobata) and cultivated V. radiata through genotyping by sequencing and quantitative trait locus a
    Roland Schafleitner, Shu-mei Huang, Shui-hui Chu, Jo-yi Yen, Chen-yu Lin, Miao-rong Yan, Bharath Krishnan, Mao-sen Liu, Hsiao-feng Lo, Chien-yu Chen, Long-fang O. Chen, Dung-chi Wu, Thu-Giang Thi Bui, Srinivasan Ramasamy, Chih-wei Tung, Ramakrishnan Nair
    BMC Plant Biology.2016;[Epub]     CrossRef
  • Construction of an integrated map and location of a bruchid resistance gene in mung bean
    Lixia Wang, Chuanshu Wu, Min Zhong, Dan Zhao, Li Mei, Honglin Chen, Suhua Wang, Chunji Liu, Xuzhen Cheng
    The Crop Journal.2016; 4(5): 360.     CrossRef
  • Genomic and transcriptomic comparison of nucleotide variations for insights into bruchid resistance of mungbean (Vigna radiata [L.] R. Wilczek)
    Mao-Sen Liu, Tony Chien-Yen Kuo, Chia-Yun Ko, Dung-Chi Wu, Kuan-Yi Li, Wu-Jui Lin, Ching-Ping Lin, Yen-Wei Wang, Roland Schafleitner, Hsiao-Feng Lo, Chien-Yu Chen, Long-Fang O. Chen
    BMC Plant Biology.2016;[Epub]     CrossRef
  • A gene encoding a polygalacturonase-inhibiting protein (PGIP) is a candidate gene for bruchid (Coleoptera: bruchidae) resistance in mungbean (Vigna radiata)
    Sathaporn Chotechung, Prakit Somta, Jinbing Chen, Tarika Yimram, Xin Chen, Peerasak Srinives
    Theoretical and Applied Genetics.2016; 129(9): 1673.     CrossRef
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Development of Low Gly m Bd 30K (P34) Allergen Breeding Lines Using Molecular Marker in Soybean [Glycine max (L.) Merr.]
Kwang-Ho Jeong, Man-Soo Choi, Seuk-Ki Lee, Min-Jung Seo, Tae-Young Hwang, Hong-Tai Yun, Hong-Sig Kim, Jung-Tae Kim, Young-Up Kwon, Yul-Ho Kim
Plant Breed. Biotech. 2013;1(3):298-306.   Published online September 30, 2013
DOI: https://doi.org/10.9787/PBB.2013.1.3.298

An increasing production of soybean (Glycine max [L.] Merr.)-based food products may limit dietary choices for soy-allergic individuals. Gly m Bd 30K (P34) is the main seed allergen causing implications in soybean-sensitive patients. The
objective
of this research was to develop low allergenic soybean lines with molecular marker. The soybean genome assembly specifies that three copy genes of P34 exist in soybean genome. These are Glyma08g12270, which is expressed at significantly higher level over the other two, Glyma08g12280 and Glyma05g29130. Glyma08g12270 was found inactive and was not expressed in low P34 germplasm accessions. Using a co-dominant marker and a polyclonal antibody, polymorphisms and the quantity of protein produced by Glyma08g12270 were analyzed in the F2 and F3 generations obtained by crossing PI567476 and the Korean cultivar Hwanggum. The molecular marker and polyclonal antibody developed in this study could therefore be effectively used for selecting lines that express P34 at low levels. Selected lines could further be used to cross with other null allergenic soybean accessions to breed low allergenic soybean variety.

Citations

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  • Multiplexed silencing of 2S albumin genes in peanut
    Joann A. Conner, Larissa Arrais Guimaraes, Zhifen Zhang, Kathleen Marasigan, Ye Chu, Walid Korani, Peggy Ozias‐Akins
    Plant Biotechnology Journal.2024; 22(9): 2438.     CrossRef
  • Stacking of recessive alleles for antinutritional factos of P34, lectin, KTI and 7S α′ subunit proteins in soybean [Glycine max (L.) Merr.]
    Sarath Ly, Jeong Hwan Lee, Hyeon Su Oh, Se Yeong Kim, Sang Woo Choi, Jong Il Chung
    Euphytica.2023;[Epub]     CrossRef
  • Soybean genetics, genomics, and breeding for improving nutritional value and reducing antinutritional traits in food and feed
    William M. Singer, Yi‐Chen Lee, Zachary Shea, Caio Canella Vieira, Dongho Lee, Xiaoying Li, Mia Cunicelli, Shaila S. Kadam, Mohammad Aamir Waseem Khan, Grover Shannon, M. A. Rouf Mian, Henry T. Nguyen, Bo Zhang
    The Plant Genome.2023;[Epub]     CrossRef
  • Soybean allergy: characteristics, mechanisms, detection and its reduction through novel food processing techniques
    Jin Wang, Zhaoyi He, Vijaya Raghavan
    Critical Reviews in Food Science and Nutrition.2023; 63(23): 6182.     CrossRef
  • Prospects for developing allergen‐depleted food crops
    Vadthya Lokya, Sejal Parmar, Arun K. Pandey, Hari K. Sudini, Dongxin Huai, Peggy Ozias‐Akins, Christine H. Foyer, Chogozie Victor Nwosu, Barbara Karpinska, Alison Baker, Pei Xu, Boshou Liao, Reyazul Rouf Mir, Xiaoping Chen, Baozhu Guo, Henry T. Nguyen, Ra
    The Plant Genome.2023;[Epub]     CrossRef
  • Comparative structural and thermal stability studies of Cuc m 2.0101, Art v 4.0101 and other allergenic profilins
    A. Brenda Kapingidza, Sarah E. Pye, Noah Hyduke, Coleman Dolamore, Swanandi Pote, Caleb R. Schlachter, Scott P. Commins, Krzysztof Kowal, Maksymilian Chruszcz
    Molecular Immunology.2019; 114: 19.     CrossRef
  • Development of soybeans with low P34 allergen protein concentration for reduced allergenicity of soy foods
    Daisuke Watanabe, Nóra Adányi, Krisztina Takács, Anita Maczó, András Nagy, Éva Gelencsér, Martin Pachner, Kathrin Lauter, Sabine Baumgartner, Johann Vollmann
    Journal of the Science of Food and Agriculture.2017; 97(3): 1010.     CrossRef
  • An update on hypoallergenicity of peanut and soybean: where are we now?
    Muhammad Shamoon, Muhammad Wasim Sajid, Waseem Safdar, Junaid Haider, Mukama Omar, Alfarga Ammar, Hafiz Rizwan Sharif, Saud Khalid, Muhammad Atif Randhawa
    RSC Advances.2016; 6(82): 79185.     CrossRef
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