AT-hook proteins are known to co-regulate transcription of genes through the modification of chromatin architecture. In plants, many genes encoding AT-hook proteins have been shown to be associated with increased seed yield or delayed senescence. In this study, we produced transgenic soybean plants overexpressing chromatin architecture-controlling ATPG8 and ATPG10 genes by Agrobacterium-mediated transformation and examined their agronomic traits to identify the yield increase in soybean crop similar to those seen in model plants, Arabidopsis. A total of 16 (3 of pB2GW7.0-ATPG8 and 13 of pCSEN-ATPG10 transformed) transgenic soybean plants were produced and their T₁ seeds were harvested. Healthy and well-grown transgenic lines were selected (lines #1 and #2 from pB2GW7.0-ATPG8, and lines #8 and #9 from pCSEN-ATPG10), and the insertion and transcription level of genes were confirmed by PCR and RT-PCR with expected size. Investigation on agricultural traits confirms the increase in yield, plant height, the number of pods, and total seed weight with statistical significance when compared to wild-type soybean plants. The yield component study suggested that overexpression of ATPG8 and ATPG10 genes conferred positive effect on yield in transgenic soybean.

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AT-hook proteins of plant have shown to be involved in growth and development through the modification of chromatin architecture to co-regulate transcription of genes. Recently, many genes encoding AT-hook protein have been identified and their involvement in senescence delay is investigated. In this study, soybean transgenic plants overexpressing chromatin architecture-controlling ATPG7 gene was produced by Agrobacterium-mediated transformation and investigated for the positive effect on the important agronomic traits mainly focusing on yield-related components. A total of 27 transgenic soybean plants were produced from about 400 explants. T₁ seeds were harvested from all transgenic plants. In the analysis of genomic DNAs from soybean transformants, ATPG7 and Bar fragments were amplified as expected, 975 bp and 408 bp in size, respectively. And also exact gene expression was confirmed by reverse transcriptase-PCR (RT-PCR) from transgenic line #6, #7 and #8. In a field evaluation of yield components of ATPG7 transgenic plants (T₃), higher plant height, more of pod number and greater average total seed weight were observed with statistical significance. The results of this study indicate that the introduction of ATPG7 gene in soybean may have the positive effect on yield components.

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• Efficient Isolation and Gene Transfer of Protoplast in Korean Soybean (Glycine Max (L.) Merr.) Cultivars
  Chuloh Cho, Dool-Yi Kim, Man-Soo Choi, Mina Jin, Mi-Suk Seo
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Plants have adapted to environmental challenges by expressing many plant genes in response to the stresses. Among those genes, CCCH zinc finger proteins are involved in abiotic and biotic stresses. Transgenic soybean plants overexpressing AtSZF2 were produced to investigate that its ectopic overexpression enhanced salt stress tolerance by Agrobacterium-mediated transformation using half-seed explants. Sixteen transgenic lines were chosen to analyze for T-DNA insertion and transcription levels, and most of them were confirmed as positive. In further analysis with Southern blot, stable transformation event and copy number were confirmed. Following high salinity stress on the detached leaf and whole plant of two transgenic lines (#4 and #6) revealed that the ectopic expression of AtSZF2 was correlated with stress tolerance in phenotype, ion leakage and chlorophyll content with statistical significance. In another test with 20% PEG treatment, similar tolerance of transgenic plants was observed with lower ion leakage and higher chlorophyll content, indicating that the damage of cell membrane was prevented in transgenic plants. Finally, expression of various abiotic stress-responding genes was detected by reverse transcriptase and quantitative real-time PCR analysis with the transgenic plants. It could be proposed that introduction of AtSZF2 resulted in the modulation of ABA/stress responsive gene expression in transgenic soybean plants and make them tolerant against salt stress. Considering soybean as a salt-sensitive crop and importance of salt stress tolerance in specific farming region, the introduction of AtSZF2 may provide an approach for crop improvement in soybean breeding.

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Beta-carotene, a defense chemical, is synthesized by the carotenoid biosynthesis pathway. In the present study, a transgenic soybean line, with a single copy insertion of phytoene synthase and carotene desaturase genes, having high beta-carotene content was studied for its response to systemically inoculated Soybean mosaic virus (SMV). Beta-carotene-enhanced transgenic soybean showed similar leaf and seed symptoms, viral RNA, and protein expression compared to the non-genetically modified (GM) ‘Kwangan’ control. Total antioxidant contents in the non-GM ‘Kwangan’ line were increased after SMV attack in both leaves and seeds; however, the antioxidant contents in the beta-carotene-enhanced soybean line have no significant changes. In addition, both GM and non-GM soybean were detected increased lipid hydroperoxide concentrations in leaves and seeds after SMV infection, even though they did not reach a statistical significant level. Abscisic acid (ABA) levels in beta-carotene-enhanced transgenic soybean seeds was determined 35-fold increase after SMV infections caused a lower seed germination rate and a higher SMV transmission rate to subsequent generations, compared to those of non-GM ‘Kwangan’. Thus, we concluded that the additional production of beta-carotene did not confer resistance of beta-carotene-enhanced transgenic soybean to SMV infections, but caused mass accumulations of ABA in seeds.

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• Comparison of the Nutritional Compositions of hybrid Soybean between β–carotene Enhanced Transgenic Soybean and wild Soybean
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Soybean [Glycine max (L.) Merrill] is one of the most important crops in the world and in Korea as well. Since the official start of soybean breeding program in Korea at which a landrace ‘Jangdanbaekmok’ was first released to promote cultivation in 1913, approximately one century has elapsed. Currently, a total of 178 soybean varieties are registered at two representative Korean national institutes, the RDA-Genebank Information Center (http://www.genebank.go.kr) and the Korea Seed & Variety Service (http://www.seed.go.kr). Of these, 155 varieties (87.1%) have been developed through hybridization-based breeding technologies, of which most cultivars (133 varieties, 85.8%) have been released in the last twenty five years. In this review, we attempted to integrate all the information for individual cultivars and to rebuild a breeding pedigree including the entirety of registered Korean soybean varieties. The analysis has resulted in a total of four pedigrees involving 168 cultivars (94.4% out of 178 cultivars), which form the broadest network of pedigrees. Each of pedigrees highlights different key varieties within the context of progenitor networks derived from crossing of various elite parental lines as follows; pedigree I-‘Kwangkyo’, ‘Hwangkeumkong’, ‘Paldalkong’ and ‘Sinpaldalkong2’, pedigree II-‘Baegunkong’, ‘Jangyeobkong’ and ‘Keunolkong’, pedigree III-‘Danyeob’, ‘Pangsa’ and ‘Eunhakong’. These pedigrees also reveal purpose (i.e., desirable traits)-driven development of characteristic soybean varieties during the past century of breeding history in Korea. We expect that the pedigree reconstructed in this study will provide breeders with information useful to design breeding schema and guidance towards the genomics-assisted soybean improvement in the future.

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• Identification of a Potential Gene for Elevating ω-3 Concentration and Its Efficiency for Improving the ω-6/ω-3 Ratio in Soybean
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  Journal of Agricultural and Food Chemistry.2021; 69(13): 3836.     CrossRef
• Potential of vegetable soybean cultivation in Lithuania
  Julė JANKAUSKIENĖ, Aušra BRAZAITYTĖ, Viktorija VAŠTAKAITĖ-KAIRIENĖ
  Notulae Botanicae Horti Agrobotanici Cluj-Napoca.2021; 49(1): 12267.     CrossRef
• Construction of Soybean Mutant Diversity Pool (MDP) Lines and an Analysis of Their Genetic Relationships and Associations Using TRAP Markers
  Dong-Gun Kim, Jae Il Lyu, Min-Kyu Lee, Jung Min Kim, Nguyen Ngoc Hung, Min Jeong Hong, Jin-Baek Kim, Chang-Hyu Bae, Soon-Jae Kwon
  Agronomy.2020; 10(2): 253.     CrossRef
• Genetic Diversity Patterns and Discrimination of 172 Korean Soybean (Glycine max (L.) Merrill) Varieties Based on SSR Analysis
  Tae-Young Hwang, Byeong Sam Gwak, Jwakyung Sung, Hong-Sig Kim
  Agriculture.2020; 10(3): 77.     CrossRef
• Validation of marker-assisted selection in soybean breeding program for pod shattering resistance
  Ji-Min Kim, Kyung-Hye Kim, Jiyeong Jung, Beom Kyu Kang, Juseok Lee, Bo-Keun Ha, Sungtaeg Kang
  Euphytica.2020;[Epub]     CrossRef
• The Prospect of Bentazone-Tolerant Soybean for Conventional Cultivation
  Liakat Ali, Hyun Jo, Jong Tae Song, Jeong-Dong Lee
  Agronomy.2020; 10(11): 1650.     CrossRef
• Genetic Analysis of Foxglove Aphid (Aulacorthum solani Kaltenbach) Resistance in Soybeans
  Hong-Min Koh, Bo Yoon Seo, Kyung Hye Kim, Ji-Min Kim, Taeklim Lee, Jinho Heo, Jiyeong Jung, Jinkyo Jung, Sungteag Kang
  Korean Journal of Breeding Science.2020; 52(4): 354.     CrossRef
• Environmental Stability of Elevated α-Linolenic Acid Derived from a Wild Soybean in Three Asian Countries
  Hyun Jo, Minsu Kim, Liakat Ali, Rupesh Tayade, Danim Jo, Duc Thao Le, Siviengkhek Phommalth, Bo-Keun Ha, Sungtaeg Kang, Jong Tae Song, Jeong-Dong Lee
  Agriculture.2020; 10(3): 70.     CrossRef
• Soybean Viromes in the Republic of Korea Revealed by RT-PCR and Next-Generation Sequencing
  Yeonhwa Jo, Young Nam Yoon, Yun-Woo Jang, Hoseong Choi, Yeong-Hoon Lee, Sang-Min Kim, Soo Yeon Choi, Bong Choon Lee, Won Kyong Cho
  Microorganisms.2020; 8(11): 1777.     CrossRef
• Phytochemicals and Antioxidant Activity of Korean Black Soybean (Glycine max L.) Landraces
  Kyung Jun Lee, Da-Young Baek, Gi-An Lee, Gyu-Taek Cho, Yoon-Sup So, Jung-Ro Lee, Kyung-Ho Ma, Jong-Wook Chung, Do Yoon Hyun
  Antioxidants.2020; 9(3): 213.     CrossRef
• Silicon Confers Soybean Resistance to Salinity Stress Through Regulation of Reactive Oxygen and Reactive Nitrogen Species
  Yong Suk Chung, Ki-Seung Kim, Muhammad Hamayun, Yoonha Kim
  Frontiers in Plant Science.2020;[Epub]     CrossRef
• Highly geographical specificity of metabolomic traits among Korean domestic soybeans (Glycine max)
  Eun Mi Lee, Soo Jin Park, Jung-Eun Lee, Bo Mi Lee, Byeung Kon Shin, Dong Jin Kang, Hyung-Kyoon Choi, Young-Suk Kim, Do Yup Lee
  Food Research International.2019; 120: 12.     CrossRef
• Biosynthesis of DDMP saponins in soybean is regulated by a distinct UDP‐glycosyltransferase
  Jagadeesh Sundaramoorthy, Gyu Tae Park, Kumpei Komagamine, Chigen Tsukamoto, Jeong Ho Chang, Jeong‐Dong Lee, Jeong Hoe Kim, Hak Soo Seo, Jong Tae Song
  New Phytologist.2019; 222(1): 261.     CrossRef
• Lodging-Tolerant, High Yield, Mechanized-Harvest Adaptable and Small Seed Soybean Cultivar ‘Aram’ for Soy-sprout
  Beom Kyu Kang, Hyun Tae Kim, Jong Min Ko, Hong Tai Yun, Young Hoon Lee, Jeong Hyun Seo, Chan Sik Jung, Sang Ouk Shin, Eun Yeong Oh, Hong Sik Kim, In Seok Oh, In Youl Baek, Jae Hyun Oh, Min Jeong Seo, Woo Sam Yang, Dong Kwan Kim, Do Yeon Gwak
  Korean Journal of Breeding Science.2019; 51(3): 214.     CrossRef
• Soybean-VCF2Genomes: a database to identify the closest accession in soybean germplasm collection
  Jungmin Ha, Ho Hwi Jeon, Dong U. Woo, Yejin Lee, Halim Park, Joohyeong Lee, Yang Jae Kang
  BMC Bioinformatics.2019;[Epub]     CrossRef
• Retracted: Dissection of soybean populations according to selection signatures based on whole-genome sequences
  Jae-Yoon Kim, Seongmun Jeong, Kyoung Hyoun Kim, Won-Jun Lim, Ho-Yeon Lee, Namhee Jeong, Jung-Kyung Moon, Namshin Kim
  GigaScience.2019;[Epub]     CrossRef
• Comparative assessment of quality characteristics of Chungkookjang made from soybean seeds differing in oleic acid concentration
  Dong-Ho Lee, Krishnanand P. Kulkarni, Byung-Oh Kim, Young Mi Seok, Jong Tae Song, Jeong-Dong Lee
  Journal of Functional Foods.2019; 52: 529.     CrossRef
• Identification and Chromosomal Reshuffling Patterns of Soybean Cultivars Bred in Gangwon-do using 202 InDel Markers Specific to Variation Blocks
  Hwang-Bae Sohn, Yun-Ho Song, Su-Jeong Kim, Su-Young Hong, Ki-Deog Kim, Bon-Cheol Koo, Yul-Ho Kim
  Korean Journal of Breeding Science.2018; 50(4): 396.     CrossRef
• Black soybeans protect human keratinocytes from oxidative stress‐induced cell death
  Young Yoon, Yoon‐Mi Lee, Sooji Song, Yu Young Lee, Kyung‐Jin Yeum
  Food Science & Nutrition.2018; 6(8): 2423.     CrossRef
• Variation of Isoflavone Contents and Classification Using Multivariate Analysis in Korean Soybean Varieties Released from 1913 to 2013
  Hyun Myung Kim, Eun Kyu Jang, Byeong Sam Gwak, Tae Young Hwang, Geon Sig Yun, Se Gu Hwang, Heon Sang Jeong, Hong Sig Kim
  Korean Journal of Breeding Science.2018; 50(1): 50.     CrossRef
• Comparison of Isoflavone Content in 43 Soybean Varieties Adapted to Highland Cultivation Areas
  Su-Young Hong, Su-Jeong Kim, Hwang-Bae Sohn, Yul-Ho Kim, Kwang-Soo Cho
  Korean Journal of Breeding Science.2018; 50(4): 442.     CrossRef
• ‘Chamol’, an Early Maturing, High Yield, and Large-seed Soybean Cultivar for Double Cropping
  Jong Min Ko, Hyun Tae Kim, Won Young Han, In Youl Baek, Hong Tae Yun, Young Hoon Lee, Byong Won Lee, Chan Sik Jeong, Tae Joung Ha, Sang Ouk Shin, Chang Hwan Park, Hong Sik Kim, Jeong Hyun Seo, Beom Kyu Kang, Min Jeong Seo, Kyu Hwan Choi, Jeong Ho Shin, Do
  Korean Journal of Breeding Science.2018; 50(4): 478.     CrossRef
• A New Soybean Cultivar, 'Gangpoong' for Soy-Paste and Tofu with Large Seeds and Lodging Resistance
  Eun Seob Yi, Jin Young Kim, Jong Hyong Lee, Jin Goo Lee, Jeong A Han, Chang Seong Kang
  Korean Journal of Breeding Science.2018; 50(3): 307.     CrossRef
• Growth Characteristics and Biological Responses of Korean Elite Soybean (Glycine maxL. Merr.) Cultivars Exposed to Gamma-Rays
  Juhyun Im, Jaihyunk Ryu, Woon Ji Kim, Sang Hun Kim, Si-Yong Kang, Bo-Keun Ha
  Plant Breeding and Biotechnology.2018; 6(2): 109.     CrossRef
• Molecular mapping and genomics of soybean seed protein: a review and perspective for the future
  Gunvant Patil, Rouf Mian, Tri Vuong, Vince Pantalone, Qijian Song, Pengyin Chen, Grover J. Shannon, Tommy C. Carter, Henry T. Nguyen
  Theoretical and Applied Genetics.2017; 130(10): 1975.     CrossRef
• Identification of SNPs tightly linked to the QTL for pod shattering in soybean
  Ju Seok Lee, Kyung Ryun Kim, Bo-Keun Ha, Sungtaeg Kang
  Molecular Breeding.2017;[Epub]     CrossRef
• Isolation of soybean mutants with high and low inorganic phosphorus
  Jagadeesh Sundaramoorthy, Yean Joo Seo, Gyu Tae Park, Jeong-Dong Lee, Soon-Ki Park, Hak Soo Seo, Jong Tae Song
  Journal of Applied Biological Chemistry.2016; 59(3): 261.     CrossRef
• Association of New Mutant Allele, w4‐nw, at W4 Locus with Near‐White Flower Color in Soybean
  Gyu Tae Park, Jagadeesh Sundaramoorthy, Jeong‐Dong Lee, Jeong Hoe Kim, Soon‐Ki Park, Hak Soo Seo, Jong Tae Song
  Crop Science.2016; 56(4): 1857.     CrossRef
• Identification and Molecular Analysis of Four New Alleles at the W1 Locus Associated with Flower Color in Soybean
  Jagadeesh Sundaramoorthy, Gyu Tae Park, Jeong Ho Chang, Jeong-Dong Lee, Jeong Hoe Kim, Hak Soo Seo, Gyuhwa Chung, Jong Tae Song, Yuepeng Han
  PLOS ONE.2016; 11(7): e0159865.     CrossRef
• Positional mapping and identification of novel quantitative trait locus responsible for UV-B radiation tolerance in soybean [Glycine max (L.) Merr.]
  Ju Seok Lee, Sungmin Kim, Bo-Keun Ha, Sungtaeg Kang
  Molecular Breeding.2016;[Epub]     CrossRef