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Volume 5(4); December 2017

Research Articles
Study of Transferability of Rubus Microsatellite Markers to Hybrid Boysenberry
Jaihyunk Ryu, Woon Ji Kim, Juhyun Im, Sang Hun Kim, Seung Cheol Oh, Lan Cho, Si-Yong Kang, Bo-Keun Ha
Plant Breed. Biotech. 2017;5(4):253-260.   Published online December 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.4.253

Boysenberry, a Rubus hybrid between loganberry and a trailing blackberry, possesses distinctive polyphenol compounds, which have demonstrated positive biological effects on human health. Several new boysenberry genotypes have recently been developed from mutation breeding technology. In this study, a total of 103 SSR markers developed from expressed sequence tag (EST) and genomic libraries in blackberry and red raspberry were tested for cross-amplifications in 10 boysenberry genotypes. All primer pairs successfully produced amplification products, ranging from 1 to 4 loci per primer. Eleven polymorphic SSR markers (RH_MEa0007aB01, RH_MEa12cE03, RH_MEa14bF07, RH_MEa15aD04, RH_MEa13cF08, ERubLR_SQ01_N03, ERubLR_SQ053_H01, ERubLR_SQ191_A05, RubfruitG7, Rubusr43a, and RiM019) were detected among boysenberry genotypes, while polymorphic loci were not detected in 92 markers. Polymorphism information content (PIC) and genetic diversity (GD) values ranged from 0.160 to 0.580 and from 180 to 0.640, with average values of 0.359 and 0.407, respectively, in the 11 polymorphic markers. According to a cluster analysis, all the mutant boysenberry genotypes can be classified into one category. Although the level of genetic diversity revealed by SSR markers in 10 boysenberry genotypes was low, these SSR markers will be useful for future genetic diversity, cultivar identification, QTL mapping, and gene cloning studies in boysenberry.

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  • Characterization of genetic variation and antioxidant properties in strawberry (Fragaria × ananassa Duch.) mutant genotypes
    Jaihyunk Ryu, Woon Ji Kim, Sang Hun Kim, Kang-Seop Lee, Han-Jig Jo, Ee-Youb Kim, Sang Hoon Kim, Si-Yong Kang, Jeong-Hee Lee, Bo-Keun Ha
    Genetic Resources and Crop Evolution.2020; 67(6): 1457.     CrossRef
  • Single nucleotide polymorphism (SNP) discovery through genotyping-by-sequencing (GBS) and genetic characterization of Dendrobium mutants and cultivars
    Jaihyunk Ryu, Woon Ji Kim, Juhyun Im, Kyung-Won Kang, Sang Hoon Kim, Yeong Deuk Jo, Si-Yong Kang, Jeong-Hee Lee, Bo-Keun Ha
    Scientia Horticulturae.2019; 244: 225.     CrossRef
  • Genotyping-by-sequencing based single nucleotide polymorphisms enabled Kompetitive Allele Specific PCR marker development in mutant Rubus genotypes
    Jaihyunk Ryu, Woon Ji Kim, Juhyun Im, Sang Hun Kim, Kang-Seop Lee, Han-Jig Jo, Ee-Youb Kim, Si-Yong Kang, Jeong-Hee Lee, Bo-Keun Ha
    Electronic Journal of Biotechnology.2018; 35: 57.     CrossRef
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Complete Chloroplast Genome Sequencing and Genetic Relationship Analysis of Capsicum chinense Jacq
Sebastin Raveendar, Kyung Jun Lee, Myoung-Jae Shin, Gyu-Taek Cho, Jung-Ro Lee, Kyung-Ho Ma, Gi-An Lee, Jong-Wook Chung
Plant Breed. Biotech. 2017;5(4):261-268.   Published online December 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.4.261

Capsicum chinense is one of the five domesticated pepper species belonging to the Solanaceae family. Capsicum sp. have been used as model systems in comparative and evolutionary genomics because their superior availability of chloroplast genome in the solanaceae family. Similarly, molecular markers derived from the complete chloroplast genome can provide effective tools for species identification and phylogenetic resolution. So far however, only partial taxonomic and phylogenetic analyses have been carried out for the genus. Thus, the complete chloroplast genome sequence of a cultivated pepper (C. chinense) has been reported here. The total length of the chloroplast genome is 156,936 bp, with 37.7% overall GC content. A pair of inverted repeats (IRs) of 25,847 bp was separated by a small single copy (SSC) region of 17,912 bp and a large single copy (LSC) region of 87,330 bp. The chloroplast genome harbors 113 known genes, including 79 protein-coding genes, four ribosomal RNA genes, and 30 transfer RNA (tRNA) genes. In all, 21 of these genes are duplicated in the inverted repeat regions, 15 genes and six tRNA genes contain a single intron, while two genes have two introns. Analysis revealed 117 simple sequence repeat (SSR) loci, which are mostly located in the intergenic regions. The complete chloroplast genome reported here enriches our knowledge of the genetic complement of C. chinense, and contributes to our understanding of the genetic relationships within the genus Capsicum.

Citations

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  • Characterization of the complete chloroplast genome of the rare medicinal plant: Mandragora caulescens (Solanaceae)
    Heqin Ma, Erdong Zhang, Yajing An, Yuqing Wei, Lei Zhang
    Mitochondrial DNA Part B.2024; 9(6): 812.     CrossRef
  • Chloroplast genome characteristic, comparative and phylogenetic analyses in Capsicum (Solanaceae)
    Shuilian He, Yinqi Siman, Gengyun Li, Junheng Lv, Kai Zhao, Minghua Deng
    BMC Genomics.2024;[Epub]     CrossRef
  • Monograph of wild and cultivated chili peppers (Capsicum L., Solanaceae)
    Gloria E. Barboza, Carolina Carrizo García, Luciano de Bem Bianchetti, María V. Romero, Marisel Scaldaferro
    PhytoKeys.2022; 200: 1.     CrossRef
  • Pan-plastome approach empowers the assessment of genetic variation in cultivated Capsicum species
    Mahmoud Magdy, Lijun Ou, Huiyang Yu, Rong Chen, Yuhong Zhou, Heba Hassan, Bihong Feng, Nathan Taitano, Esther van der Knaap, Xuexiao Zou, Feng Li, Bo Ouyang
    Horticulture Research.2019;[Epub]     CrossRef
  • Development of the ovule and seed of Habanero chili pepper (Capsicum chinense Jacq.): Anatomical characterization and immunocytochemical patterns of pectin methyl-esterification
    Jacobo Pérez-Pastrana, Ignacio Islas-Flores, Ivett Bárány, Dulce Álvarez-López, Adriana Canto-Flick, Blondy Canto-Canché, Laura Peña-Yam, Liliana Muñoz-Ramírez, Susana Avilés-Viñas, Pilar S. Testillano, Nancy Santana-Buzzy
    Journal of Plant Physiology.2018; 230: 1.     CrossRef
  • The Complete Plastome Sequences of Eleven Capsicum Genotypes: Insights into DNA Variation and Molecular Evolution
    Nunzio D’Agostino, Rachele Tamburino, Concita Cantarella, Valentina De Carluccio, Lorenza Sannino, Salvatore Cozzolino, Teodoro Cardi, Nunzia Scotti
    Genes.2018; 9(10): 503.     CrossRef
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Flanking Sequence and Copy-Number Analysis of Transformation Events by Integrating Next-Generation Sequencing Technology with Southern Blot Hybridization
Yang Qin, Hee-Jong Woo, Kong-Sik Shin, Myung-Ho Lim, Hyun-Suk Cho, Seong-Kon Lee
Plant Breed. Biotech. 2017;5(4):269-281.   Published online December 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.4.269

With the continual development of genetically modified (GM) crops, it has become necessary to develop detailed and effective molecular characterization methods to select candidate events from a large pool of transformation events. Relative to traditional molecular analysis methods such as the polymerase chain reaction (PCR) and Southern blot hybridization, next generation sequencing (NGS) technology for whole-genome sequencing of complex crop genomes had proven comparatively useful for in-depth molecular characterization. In this study, four transformation events, including one in Bacillus thuringiensis (Bt)-resistant rice, one in resveratrol-producing rice, and two in beta-carotene-enhanced soybeans, were selected for molecular characterization. To merge NGS analysis and Southern blot-hybridization results, we confirmed the transgene insertion sites, insertion construction, and insertion numbers of these four transformation events. In addition, the read-coverage depth assessed by NGS analysis for inserted genes might provide consistent results in terms of inserted T-DNA numbers in case of complex insertion structures and highly duplicated donor genomes; however, PCR-based methods can produce incorrect conclusions. Our combined method provides an effective and complete analytical approach for whole-genome visual inspection of transformation events that require biosafety assessment.

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  • Molecular Characterization of CRISPR-Cas9-Edited Rice Across Generations and Associated Technical Challenges in Nucleotide Editing Tracing
    Yang Qin, Sang Dae Yun, Hye Lin Kim, Je Yeon Choi, Myung-Ho Lim, Sung Aeong Oh, Soon Ki Park
    Plant Breeding and Biotechnology.2025;[Epub]     CrossRef
  • Combining Nanopore and Illumina Sequencing Permits Detailed Analysis of Insertion Mutations and Structural Variations Produced by PEG-Mediated Transformation in Ostreococcus tauri
    Julie Thomy, Frederic Sanchez, Marta Gut, Fernando Cruz, Tyler Alioto, Gwenael Piganeau, Nigel Grimsley, Sheree Yau
    Cells.2021; 10(3): 664.     CrossRef
  • Comparative transcriptome profiling of different tissues from beta-carotene-enhanced transgenic soybean and its non-transgenic counterpart
    Yang Qin, Hee-Jong Woo, Kong-Sik Shin, Myung-Ho Lim, Seong-Kon Lee
    Plant Cell, Tissue and Organ Culture (PCTOC).2020; 140(2): 341.     CrossRef
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Genome-Wide Identification of the Dehydrin Genes in the Cucurbitaceae Species
Sang-Choon Lee, Won-Kyung Lee, Asjad Ali, Manu Kumar, Tae-Jin Yang, Kihwan Song
Plant Breed. Biotech. 2017;5(4):282-292.   Published online December 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.4.282

Dehydrins (DHNs) are hydrophilic proteins with conserved lysine-rich K-segment, which belong to Group II of the late embryogenesis abundant (LEA) protein family. DHNs are considered as molecular chaperons playing important roles in abiotic stress tolerance. In this study, DHN genes were identified through genome-wide searches in five Cucurbitaceae species, including cucumber, wild cucumber, melon, watermelon, and bitter gourd. Three to five DHN genes were found in each of the five species, which were further divided into several protein architecture types based on the presence and order of the major conserved motifs such as K-, Y-, and S-segments. In silico expression profiling using RNA-Seq data revealed high expression of SK3-type DHN gene and low expression of other type DHN genes in cucumber and melon. In silico promoter analysis identified a number of cis-acting element-like sequences related to abiotic stress-response such as DRE and ABRE in 2-kb putative promoter sequences. DHN genes identified in this study will be valuable for understanding the stress response mechanism as well as assisting molecular breeding in Cucurbitaceae crops.

Citations

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  • Drought stress tolerance mechanisms and their potential common indicators to salinity, insights from the wild watermelon (Citrullus lanatus): A review
    Goitseone Malambane, Kelebogile Madumane, Lesego T. Sewelo, Utlwang Batlang
    Frontiers in Plant Science.2023;[Epub]     CrossRef
  • Genome-wide comprehensive characterization and expression analysis of TLP gene family revealed its responses to hormonal and abiotic stresses in watermelon (Citrullus lanatus)
    Chet Ram, Shagufta Danish, Mahipal Singh Kesawat, Bhupendra Singh Panwar, Manjusha Verma, Lalit Arya, Sheel Yadav, Vedprakash Sharma
    Gene.2022; 844: 146818.     CrossRef
  • Genome Assembly and Annotation of Soft-Shelled Adlay (Coix lacryma-jobi Variety ma-yuen), a Cereal and Medicinal Crop in the Poaceae Family
    Sang-Ho Kang, Byeollee Kim, Beom-Soon Choi, Hyun Oh Lee, Nam-Hoon Kim, Seung Jae Lee, Hye Sik Kim, Myung Ju Shin, Hyo-Won Kim, Kyunghyun Nam, Kyoung Dae Kang, Soo-Jin Kwon, Tae-Jin Oh, Sang-Choon Lee, Chang-Kug Kim
    Frontiers in Plant Science.2020;[Epub]     CrossRef
  • Knockdown of Gh_A05G1554 (GhDHN_03) and Gh_D05G1729 (GhDHN_04) Dehydrin genes, Reveals their potential role in enhancing osmotic and salt tolerance in cotton
    Joy Nyangasi Kirungu, Richard Odongo Magwanga, Lu Pu, Xiaoyan Cai, Yuanchao Xu, Yuqing Hou, Yun Zhou, Yingfan Cai, Fushun Hao, Zhongli Zhou, Kunbo Wang, Fang Liu
    Genomics.2020; 112(2): 1902.     CrossRef
  • Diverse responsiveness of dehydrin genes to abscisic acid and water stress treatments in cucumber F1 cultivar hybrids
    Anita Szegő, Eszter Badics, Dorottya Gubala, Réka Oszlányi, Bat-Erdene Oyuntogtokh, Noémi Kappel, István Papp, Erzsébet Kiss-Bába
    The Journal of Horticultural Science and Biotechnology.2019; 94(6): 726.     CrossRef
  • Comprehensive Transcriptome Profiling and Identification of Potential Genes Responsible for Salt Tolerance in Tall Fescue Leaves under Salinity Stress
    Erick Amombo, Xiaoning Li, Guangyang Wang, Shao An, Wei Wang, Jinmin Fu
    Genes.2018; 9(10): 466.     CrossRef
  • Crosstalk between Brassinosteroids and Ethylene during Plant Growth and under Abiotic Stress Conditions
    Petra Jiroutova, Jana Oklestkova, Miroslav Strnad
    International Journal of Molecular Sciences.2018; 19(10): 3283.     CrossRef
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Environmental Stability and Correlation of Soybean Seed Starch with Protein and Oil Contents
Sanjeev K. Dhungana, Krishnanand P. Kulkarni, Minsu Kim, Bo-Keun Ha, Sungtaeg Kang, Jong Tae Song, Dong-Hyun Shin, Jeong-Dong Lee
Plant Breed. Biotech. 2017;5(4):293-303.   Published online December 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.4.293

Seed starch content (SSC) is a decisive factor influencing soy food quality. Variation in SSC affects the composition of major components, oil, and protein in soybean seeds. Therefore, understanding G × E interaction of SSC is important to produce soybeans with stable SSC. In the present study, G × E interactions of 17 soybean genotypes having different SSC (0.24–1.48%) and correlation of SSC with crude protein (CP) and crude fat (CF) were investigated. The genotypes were evaluated for SSC and other traits at two planting dates across three locations over two years (2015 and 2016). The genotype × year, genotype × location, and genotype × year × location interactions were found to be significant (P ≤ 0.001) for SSC, CP, and CF. The average SSC content was found to be higher in 2015 than in 2016. Late planted soybeans contained higher SSC than the early planting soybeans. The SSC was negatively affected by the average daily mean and minimum temperatures and cloudiness during the pod-filling stage. Based on the mean rank, IT189276 (1.39%) was observed to be the most stable genotype among the high starch containing soybeans. Significant (P ≤ 0.0001) negative correlations were found between SSC and CP as well as CP and CF contents. However, a significant (P ≤ 0.05) positive correlation was observed between SSC and CF content. Results of this study showed that SSC affects the seed protein and oil contents and is significantly influenced by the growing environments.

Citations

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  • Soybean as an animal protein analogue: Hormetic effect, popularity and consumer preference
    V Jayasri, Ayyagari Ramlal, Sreeramanan Subramaniam, Aparna Nautiyal, Praveen Gupta, Dhandapani Raju, S K Lal, Ambika Rajendran, Ankita Rajendra Parab
    Food Chemistry Advances.2026; 11: 101272.     CrossRef
  • Effects of Allelic Variation in Storage Protein Genes on Seed Composition and Agronomic Traits of Soybean in the Omsk Oblast of Western Siberia
    Ilya V. Strembovskiy, Pavel Yu. Kroupin, Lyudmila V. Omel’yanuk, Andrey V. Arkhipov, Yana S. Meglitskaya, Mikhail S. Bazhenov, Akimbek M. Asanov, Mariya E. Mukhordova, Oksana A. Yusova, Yuliya I. Yaschenko, Gennady I. Karlov, Mikhail G. Divashuk
    Agronomy.2025; 15(11): 2533.     CrossRef
  • Comparative Evaluation of Nutritional Quality and In Vitro Protein Digestibility in Selected Vegetable Soybean Genotypes at R6 and R8 Maturity
    Kanneboina Soujanya, T. Supraja, Aparna Kuna, Ramakrishnan M. Nair, S. Triveni, Kalenahalli Yogendra
    Foods.2025; 14(14): 2549.     CrossRef
  • Traditional Legume Seed Fermentation Processes: What is the Individual Impact of the Cooking and Fermentation Stages on the Degradation of Anti-Nutritional Factors?
    Charlène Gbedo, Elodie Arnaud, Caroline Strub
    Food Reviews International.2025; 41(5): 1290.     CrossRef
  • The effect of ethyl methanesulfonate (EMS) and environmental factors on soybean traits
    Khaled Ramadan, Souhail Nader, Loubna Mokrani, Ghrood Al Aswd, Samir Abou-Isba, Abdulkarim Dakah
    BMC Plant Biology.2025;[Epub]     CrossRef
  • Unveiling Diversity for Quality Traits in the Indian Landraces of Horsegram [Macrotyloma uniflorum (Lam.) Verdc.]
    Manju Kumari, Siddhant Ranjan Padhi, Sushil Kumar Chourey, Vishal Kondal, Swapnil S. Thakare, Ankita Negi, Veena Gupta, Mamta Arya, Jeshima Khan Yasin, Rakesh Singh, Chellapilla Bharadwaj, Atul Kumar, Kailash Chandra Bhatt, Rakesh Bhardwaj, Jai Chand Rana
    Plants.2023; 12(22): 3803.     CrossRef
  • Genetic variation in four maturity genes and photoperiod insensitivity effects on the yield components and on the growth duration periods of soybean
    I. M. Raievska, A. S. Schogolev
    Regulatory Mechanisms in Biosystems.2023; 14(1): 55.     CrossRef
  • Soybean genetic resources contributing to sustainable protein production
    Bingfu Guo, Liping Sun, Siqi Jiang, Honglei Ren, Rujian Sun, Zhongyan Wei, Huilong Hong, Xiaoyan Luan, Jun Wang, Xiaobo Wang, Donghe Xu, Wenbin Li, Changhong Guo, Li-Juan Qiu
    Theoretical and Applied Genetics.2022; 135(11): 4095.     CrossRef
  • Correlations between soybean seed quality traits using a genome-wide association study panel grown in Canadian and Ukrainian mega-environments
    Huilin Hong, Mohsen Yoosefzadeh-Najafabadi, Istvan Rajcan
    Canadian Journal of Plant Science.2022; 102(5): 1040.     CrossRef
  • Control of seed born mycobiota associated with Glycine max L. Merr. seeds by a combination of traditional medicinal plants extracts
    SULAIMAN A. AL YOUSEF
    BIOCELL.2021; 45(5): 1403.     CrossRef
  • Application of near infrared spectroscopy for determination of relationship between crop year, maturity group, location, and carbohydrate composition in soybeans
    Mukti Singh, Michael J. Bowman, Mark A. Berhow, Neil P. J. Price, Sean X. Liu
    Crop Science.2021; 61(4): 2409.     CrossRef
  • Comparison of sugars, lipids and phenolics content in the grains of organically and conventionally grown soybean in Serbia
    Jelena M. Golijan, Danijel D. Milinčić, Radivoj B. Petronijević, Mirjana B. Pešić, Sladjana P. Stanojević, Miroljub B. Barać, Slavoljub Lekić, Aleksandar Ž. Kostić
    Zemdirbyste-Agriculture.2021; 108(1): 51.     CrossRef
  • Protein, Amino Acid, Oil, Fatty Acid, Sugar, Anthocyanin, Isoflavone, Lutein, and Antioxidant Variations in Colored Seed-Coated Soybeans
    Sanjeev Kumar Dhungana, Jeong-Hyun Seo, Beom-Kyu Kang, Ji-Hee Park, Jun-Hoi Kim, Jung-Sook Sung, In-Youl Baek, Sang-Ouk Shin, Chan-Sik Jung
    Plants.2021; 10(9): 1765.     CrossRef
  • Morpho-chemical evaluation of soybean genotypes across tropical agroecosystem
    A Krisnawati, M M Adie
    IOP Conference Series: Earth and Environmental Science.2019; 230: 012106.     CrossRef
  • Assessment of Phenotypic Variations and Correlation among Seed Composition Traits in Mutagenized Soybean Populations
    Zhou Zhou, Naoufal Lakhssassi, Mallory A. Cullen, Abdelhalim El Baz, Tri D. Vuong, Henry T. Nguyen, Khalid Meksem
    Genes.2019; 10(12): 975.     CrossRef
  • Genome-wide association study of seed protein, oil and amino acid contents in soybean from maturity groups I to IV
    Sungwoo Lee, Kyujung Van, Mikyung Sung, Randall Nelson, Jonathan LaMantia, Leah K. McHale, M. A. Rouf Mian
    Theoretical and Applied Genetics.2019; 132(6): 1639.     CrossRef
  • Insight Into the Prospects for the Improvement of Seed Starch in Legume—A Review
    Rupesh Tayade, Krishnanand P. Kulkarni, Hyun Jo, Jong Tae Song, Jeong-Dong Lee
    Frontiers in Plant Science.2019;[Epub]     CrossRef
  • Dynamic Transcriptome Changes Related to Oil Accumulation in Developing Soybean Seeds
    Songnan Yang, Long Miao, Jianbo He, Kai Zhang, Yan Li, Junyi Gai
    International Journal of Molecular Sciences.2019; 20(9): 2202.     CrossRef
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Overexpression of S-Adenosylmethionine Synthetase Gene from Pyropia tenera Enhances Tolerance to Abiotic Stress
Hyun-Ju Hwang, Jin-Woo Han, Hyun Dae Hong, Jong Won Han
Plant Breed. Biotech. 2017;5(4):304-313.   Published online December 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.4.304

Pyropia tenera is an intertidal red alga of commercial significance owing to its popularity as a health-promoting seafood product. This alga grows in marine environments and is frequently exposed to high salinity and osmotic stress, which impact its growth. Therefore, the enhancement of stress tolerance in P. tenera is critical. In the present work, we aimed to elucidate the mechanisms underlying abiotic stress tolerance in this species; specifically, we identified the P. tenera S-adenosylmethionine synthetase-encoding gene (PtSAMS) and characterized its biological function. This gene, which is known to play a role in stress tolerance in other plants, was cloned and overexpressed in Escherichia coli under high-salinity conditions. The PtSAMS gene was found to encode a 385-amino-acid protein with a molecular weight of 41.8 kDa. In silico sequence alignment and phylogenetic analysis of the PtSAMS amino acid sequence showed that the encoded protein comprises three conserved domains and two motifs that are highly conserved in other plants. Growth assay results indicated that PtSAMS-overexpressing E. coli cells exhibit enhanced tolerance to salt stress. The results suggest that PtSAMS expression is induced by a combination of ion toxicity and osmotic stress resulting from exposure to high salinity in marine environments, and that this gene is expressed at housekeeping levels owing to growth in such conditions. The findings suggest that PtSAMS could be used as a potentially valuable bioresource with utility in the genetic engineering of salt stress-tolerant crop plants.

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  • Gibberellin mediates spermidine-induced salt tolerance and the expression of GT-3b in cucumber
    Yu Wang, Xiaowen Gong, Weikang Liu, Lei Kong, Xinyu Si, Shirong Guo, Jin Sun
    Plant Physiology and Biochemistry.2020; 152: 147.     CrossRef
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Fatty Acid Composition, Isoflavone and L-3,4-dihydroxyphenylalanine (L-dopa) Contents in Different Parts of Faba Bean (Vicia faba) Genotypes
Jaihyunk Ryu, Dong-Gun Kim, Min-Kyu Lee, Jung Min Kim, Min Jeong Hong, Kyung-Yun Kang, Seok Hyun Eom, Si-Yong Kang, Jin-Baek Kim, Soon-Jae Kwon
Plant Breed. Biotech. 2017;5(4):314-324.   Published online December 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.4.314

The faba bean, one of the few crops that produces L-3,4-dihydroxy-phenylalanine (L-dopa) naturally, is also a good source of fatty acids and isoflavones. This study analyzed fatty acids, L-dopa and isoflavones in the leaves, immature pods and seeds of selected high-yielding faba bean genotypes spring-sown in Korea. The most abundant fatty acids in the leaves, immature pods and seeds were linolenic acid (58.6–63.7%), linoleic acid (46.9–58.9%), and linoleic acid (45.7–63.6%), respectively. The L-dopa content was highest in the leaf for all the faba bean genotypes except PI430715 and PI614810 where it was highest in the immature pods. The α-linolenic acid and L-dopa contents of the seed and immature pod of the PI430715 and PI614810 genotypes were the highest of all the genotypes. Four isoflavones (daidzin, genistin, daidzein and genistein) were detected with levels of daidzin and genistin generally higher than those of daidzein and genistein in each part of the faba bean. The L-dopa content was correlated (P ≤ 0.05) with those of five fatty acids (oleic, gondoic, phytanic, α-linolenic, and behenic acid). Overall, the PI430715 and PI614810 faba bean genotypes with their higher L-dopa and α-linolenic acid contents were the most functional. This study may help identify optimal genotypes for breeding new cultivars which provide functional compounds to treat Parkinson’s disease or use in foods.

Citations

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  • Comparison on the nutritional and functional components, and antioxidant activities of different Faba bean varieties
    Kaige Wang, Xu Lu, Yunfeng Xu, Guowei Man, Lei Luo, Jinle Xiang
    European Food Research and Technology.2026;[Epub]     CrossRef
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    Violeta Mitic, Jelena Nikolic, Vesna Stankov Jovanovic, Jasmina Milenkovic, Ivana Zlatanovic, Biljana Arsic, Gordana Stojanovic
    Analytical Letters.2026; 59(6): 960.     CrossRef
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    Ying Li, Zhihua Wang, Chengkai Mei, Wenqi Sun, Xingxing Yuan, Jing Wang, Wuyang Huang
    Biology.2025; 14(8): 982.     CrossRef
  • Thermal dependent effects of roasting on the volatiles, phenolics, and sensory properties of faba leaves (Vicia faba)
    Shucheng Duan, Soon-Jae Kwon, Ji Hye Kim, Jae-Hee Kim, Jung Min Kim, Juyoung Kim, Seok Hyun Eom
    LWT.2025; 215: 117257.     CrossRef
  • Can Isoflavone-Rich Legume Plants Be Useful in the Chemoprevention of Hormone-Dependent Cancers?—A Systematic Review
    Wojciech Paździora, Paweł Paśko, Karolina Grabowska, Agnieszka Galanty
    International Journal of Molecular Sciences.2024; 25(13): 7389.     CrossRef
  • Anti-nutrient factors, nutritional components, and antioxidant activities of faba beans (Vicia faba L.) as affected by genotype, seed traits, and their interactions
    Yu-Mi Choi, Myoung-Jae Shin, Sukyeung Lee, Hyemyeong Yoon, Jungyoon Yi, Xiaohan Wang, Heon-Woong Kim, Kebede Taye Desta
    Food Chemistry: X.2024; 23: 101780.     CrossRef
  • Unveiling Fatty Acid Profiles of the Parasitic Plants Orobanche foetida Poiret. and Orobanche crenata Forsk. and Modulation of Faba Bean (Vicia faba L.) Fatty Acid Composition in Response to Orobanche Infestation
    Amal Bouallegue, Siwar Thebti, Faouzi Horchani, Taoufik Hosni, Issam Nouairi, Haythem Mhadhbi, Najla Trabelsi, Moez Amri, Mohamed Kharrat, Zouhaier Abbes
    Plants.2023; 12(20): 3578.     CrossRef
  • Validated approach for vicine, convicine and levodopa quantification from faba bean seeds by flow injection analysis high-field asymmetric waveform ion mobility mass spectrometry
    Haixia Zhang, Randy W. Purves, Thomas D. Warkentin, Albert Vandenberg
    Food Chemistry.2023; 405: 134857.     CrossRef
  • Nutrient Levels, Bioactive Metabolite Contents, and Antioxidant Capacities of Faba Beans as Affected by Dehulling
    Yu-Mi Choi, Hyemyeong Yoon, Myoung-Jae Shin, Sukyeung Lee, Jungyoon Yi, Young-ah Jeon, Xiaohan Wang, Kebede Taye Desta
    Foods.2023; 12(22): 4063.     CrossRef
  • Faba beans with enhanced antioxidant activity ameliorate acetic acid-induced colitis in experimental rats
    Salwa M. El-sayed, Mona I. Nossier, Ahmed Ibrahim Nossier
    Food & Function.2022; 13(22): 11865.     CrossRef
  • Effect of Thermal Processing on Color, Phenolic Compounds, and Antioxidant Activity of Faba Bean (Vicia faba L.) Leaves and Seeds
    Shu-Cheng Duan, Soon-Jae Kwon, Seok-Hyun Eom
    Antioxidants.2021; 10(8): 1207.     CrossRef
  • L-3,4-dihydroxyphenylalanine Accumulation in Faba Bean (Vicia faba L.) Tissues during Different Growth Stages
    Shucheng Duan, Soon Jae Kwon, You Jin Lim, Chan Saem Gil, Chengwu Jin, Seok Hyun Eom
    Agronomy.2021; 11(3): 502.     CrossRef
  • Investigation of some biochemical mechanisms involved in the resistance of faba bean (Vicia faba L.) varieties to Orobanche spp.
    Zouhaier Abbes, Amal Bouallegue, Imen Trabelsi, Najla Trabelsi, Amani Taamalli, Moez Amri, Haythem Mhadhbi, Mohamed Kharrat
    Plant Protection Science.2020; 56(4): 317.     CrossRef
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Development of SNP-Based Molecular Markers by Re-Sequencing Strategy in Peanut
Ki-Seung Kim, Daewoong Lee, Suk Bok Bae, Yong-Chul Kim, In-Soo Choi, Sun Tae Kim, Tae-Ho Lee, Tae-Hwan Jun
Plant Breed. Biotech. 2017;5(4):325-333.   Published online December 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.4.325

The
objective
of this study was to develop high-throughput SNP or SNP-based markers by re-sequencing of two peanut cultivars, ‘K-Ol’ and ‘Pungan’. The whole genome re-sequencing for the two cultivars was performed to produce sequences of 35.3 × 109 bp with 350 × 106 reads and 32.0 × 109 bp with 318 × 106 reads, respectively. As compared with the peanut reference genome, the distribution of homozygous and heterozygous SNPs on each chromosome showed very similar patterns between ‘K-Ol’ and ‘Pungan’, and most of them were in intergenic-region regardless of the peanut cultivars and reference genome type. The SNPs identified between the two peanut cultivars were evenly distributed across chromosomes of peanut diploid A and B reference genomes. It indicated that these SNPs could be available to construct a genetic map using the segregating population derived from a cross between ‘K-Ol’ and ‘Pungan’. Total 61 CAPS marker were developed and tested for their availability. Of the CAPS markers, 60 CAPS markers produced normal PCR products and 18 out of them presented polymorphism among 6 peanut varieties. Results of the present study could provide useful genetic resources to facilitate marker-assisted selection for breeding programs as well as germplasm screening for peanut.

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  • Optimization of commercial SNP arrays and the generation of a high-efficiency GenoBaits Peanut 10K panel
    Yaran Zhao, Y. M. Nevame Adedze, Jiahui Dong, Renxu Zhang, Songan Zheng, Haofa Lan, Yurong Li, Song Liu, Yanfen Xu, Jianan Zhang
    Scientific Reports.2025;[Epub]     CrossRef
  • Identification of QTL Associated With Luteolin Content in Peanut (Arachis hypogaea L.) Shells
    Kunyan Zou, Minjae Choi, Jeong‐Dong Lee, Kyung Do Kim, Hyeon Do Lim, Ki‐Seung Kim, Tae‐Hwan Jun
    Plant Breeding.2025; 144(1): 1.     CrossRef
  • Genome-wide association and RNA-seq analyses reveal genes linked to salt stress in peanut (Arachis hypogaea L.)
    Kunyan Zou, Yang Jae Kang, Bo-Keun Ha, Kyung Do Kim, Ki-Seung Kim, Tae-Hwan Jun
    Frontiers in Plant Science.2025;[Epub]     CrossRef
  • Designing future peanut: the power of genomics-assisted breeding
    Ali Raza, Hua Chen, Chong Zhang, Yuhui Zhuang, Yasir Sharif, Tiecheng Cai, Qiang Yang, Pooja Soni, Manish K. Pandey, Rajeev K. Varshney, Weijian Zhuang
    Theoretical and Applied Genetics.2024;[Epub]     CrossRef
  • Genome-Wide Association Study of Leaf Chlorophyll Content Using High-Density SNP Array in Peanuts (Arachis hypogaea L.)
    Kunyan Zou, Ki-Seung Kim, Dongwoo Kang, Min-Cheol Kim, Jungmin Ha, Jung-Kyung Moon, Tae-Hwan Jun
    Agronomy.2022; 12(1): 152.     CrossRef
  • Genetic Diversity and Genome-Wide Association Study of Seed Aspect Ratio Using a High-Density SNP Array in Peanut (Arachis hypogaea L.)
    Kunyan Zou, Ki-Seung Kim, Kipoong Kim, Dongwoo Kang, Yu-Hyeon Park, Hokeun Sun, Bo-Keun Ha, Jungmin Ha, Tae-Hwan Jun
    Genes.2020; 12(1): 2.     CrossRef
  • Resveratrol, total phenolic and flavonoid contents, and antioxidant potential of seeds and sprouts of Korean peanuts
    Bishnu Adhikari, Sanjeev Kumar Dhungana, Muhammad Waqas Ali, Arjun Adhikari, Il-Doo Kim, Dong-Hyun Shin
    Food Science and Biotechnology.2018; 27(5): 1275.     CrossRef
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Discrimination and Authentication of Eclipta prostrata and E. alba Based on the Complete Chloroplast Genomes
Inseo Kim, Jee Young Park, Yun Sun Lee, Hyun Oh Lee, Hyun-Seung Park, Murukarthick Jayakodi, Nomar Espinosa Waminal, Jung Hwa Kang, Taek Joo Lee, Sang Hyun Sung, Kyu Yeob Kim, Tae-Jin Yang
Plant Breed. Biotech. 2017;5(4):334-343.   Published online December 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.4.334

Eclipta prostrata and E. alba are annual herbal medicinal plants and have been used as Chinese medicinal tonics. Both species are widely distributed in tropical and subtropical regions as well as in Korea. Both species have similar morphological features but E. alba has smoother leaf blade margins compared with E. prostrata. Although both species are utilized as oriental medicines, E. prostrata is more widely used than E. alba. Morphological semblances have confounded identification of either species. Here, we report the complete chloroplast genomes of both species to provide an authentication system between the two species and understand their diversity. Both chloroplast genomes were 151,733–151,757 bp long and composed of a large single copy (83,285–83,300 bp), a small single copy (18,283–18,346 bp), and a pair of inverted repeats (25,075–25,063 bp). Gene annotation revealed 80 protein coding genes, 30 tRNA genes and four rRNA genes. A phylogenetic analysis revealed that the genus Eclipta is grouped with Heliantheae tribe species in the Asteraceae family. A comparative analysis verified 29 InDels and 58 SNPs between chloroplast genomes of E. prostrata and E. alba. The low chloroplast genome sequence diversity indicates that both species are really close to each other and are not completely diverged yet. We developed six DNA markers that distinguish E. prostrata and E. alba based on the polymorphisms of chloroplast genomes between E. prostrata and E. alba. The chloroplast genome sequences and the molecular markers generated in this study will be useful for further research of Eclipta species and accurate classification of medicinal herbs.

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  • A review on the phytochemicals of Eclipta prostrata and Eclipta alba: Antioxidants and antidiabetic activities
    Nur Nahar Sohe, John Sushma Nannepaga, Wan Amir Nizam Wan Ahmad, Norizah Mhd. Sarbon, Mannur Ismail Shaik
    Pharmacological Research - Natural Products.2026; 10: 100483.     CrossRef
  • Construction of a Single File Reference Transcriptome Database for Deodeok (Codonopsis lanceolata) and Sseumbagwi (Ixeridium dentata)
    Tae-Ho Lee, Yun-Ho Oh, Ji-Nam Kang, Si-Myung Lee
    Korean Journal of Breeding Science.2023; 55(4): 321.     CrossRef
  • Unraveling the secrets of Eclipta alba (L.) Hassk.: a comprehensive study of morpho-anatomy and DNA barcoding
    D. K. Wahyuni, B. F. Yoku, S. R. Mukarromah, P. R. Purnama, M. Ilham, G. A. Rakashiwi, D. T. Indriati, Junairiah, S. Wacharasindhu, S. Prasongsuk, S. Subramaniam, H. Purnobasuki
    Brazilian Journal of Biology.2023;[Epub]     CrossRef
  • Inheritance of chloroplast and mitochondrial genomes in cucumber revealed by four reciprocal F1 hybrid combinations
    Hyun-Seung Park, Won Kyung Lee, Sang-Choon Lee, Hyun Oh Lee, Ho Jun Joh, Jee Young Park, Sunggil Kim, Kihwan Song, Tae-Jin Yang
    Scientific Reports.2021;[Epub]     CrossRef
  • Comparative Chloroplast Genome Analyses of Species in Gentiana section Cruciata (Gentianaceae) and the Development of Authentication Markers
    Tao Zhou, Jian Wang, Yun Jia, Wenli Li, Fusheng Xu, Xumei Wang
    International Journal of Molecular Sciences.2018; 19(7): 1962.     CrossRef
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Expression of Heat Shock Proteins by Heat Stress in Soybean
Kitae Song, Won Cheol Yim, Byung-Moo Lee
Plant Breed. Biotech. 2017;5(4):344-353.   Published online December 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.4.344

Heat stress is one of the factors disturb productivity and growth of plants. Many genes including heat shock protein (HSP), heat shock transcription factors (HSF) and chaperones, were identified and characterized in many plants to play role in increased tolerance to abiotic stress. To reveal responsive gene to heat stress, we performed RNA-seq using two Korean soybean varieties under heat stress and normal conditions. The transcripts were analyzed, and we obtained 2,458 genes including 46 co-up regulation and 55 co-down regulated genes in both soybean varieties. We also revealed HSPs, HSFs and chaperones in the differentially expressed genes using BLAST and Pfam analyzation and verified expression changes under heat stress. Finally, we find 68 genes involved in HSP, HSF, chaperones in heat responsive genes associated increasing heat tolerance. As a result, relatively small HSP families were up regulated and continuously expressed in long period heat stress. On the other hand, large molecule HSPs, HSFs and chaperonin did not response to long heat stress. The expression profiling and characterization provide invaluable information to understand heat tolerance of soybean.

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  • Unveiling the Heat Shock Protein Network in Sugar Beet: Comprehensive Genome-Wide Identification, Characterization, and Stress-Induced Expression Patterns
    Erdoğan Horuz, Necdet Mehmet Unel, Yasemin Celik Altunoglu, Mehmet Cengiz Baloglu
    Plant Molecular Biology Reporter.2025; 43(4): 2251.     CrossRef
  • Transcriptional Insights into Soybean Genotypes Under Prolonged Heat Stress: Identification of Key Genes and Soil Influences for Enhanced Tolerance
    Liza Van der Laan, Dinakaran Elango, Antonella Ferela, Jamie A. O’Rourke, Asheesh K. Singh
    Plant Stress.2025; 18: 101038.     CrossRef
  • Two cowpea Rubisco activase isoforms for crop thermotolerance
    Armida Gjindali, Rhiannon Page, Catherine J. Ashton, Ingrid Robertson, Mike T. Page, Duncan Bloemers, Peter D. Gould, Dawn Worrall, Douglas J. Orr, Elizabete Carmo‐Silva
    New Phytologist.2025; 247(3): 1199.     CrossRef
  • Global transcriptional modulation and nutritional status of soybean plants following foliar application of zinc borate as a suspension concentrate fertilizer
    Eloisa Vendemiatti, Rafael Oliveira Moreira, Gabriel Lasmar dos Reis, Inty Omar Hernandez-De Lira, Eugenia Peña-Yewtukhiw, Franz Walter Rieger Hippler, Luis Omar Torres-Dorante, Kiran Pavuluri, Alex Valentine, Vitor L. Nascimento, Vagner Augusto Benedito
    Scientific Reports.2025;[Epub]     CrossRef
  • Identification of candidate genes for drought tolerance in soybean through QTL mapping and gene expression analysis
    Gi-Rim Park, Seon-Hwa Bae, Beom-Kyu Kang, Jeong-Hyun Seo, Jae-Hyeon Oh
    Frontiers in Genetics.2025;[Epub]     CrossRef
  • Genetic dissection of heat stress tolerance in soybean through genome-wide association studies and use of genomic prediction to enhance breeding applications
    Liza Van der Laan, Leonardo de Azevedo Peixoto, Asheesh K. Singh
    npj Science of Plants.2025;[Epub]     CrossRef
  • Revolutionizing heat stress tolerance in Glycine max: Exploring the latest advances in microbial application
    Shifa Shaffique, Md. Injamum-Ul-Hoque, Azamal Husen, Sang-Mo kang, In-Jung Lee
    Plant Stress.2025; 15: 100725.     CrossRef
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    Parviz Heidari, Sadra Rezaee, Hadiseh Sadat Hosseini Pouya, Freddy Mora-Poblete
    Plants.2024; 13(23): 3410.     CrossRef
  • Understanding heat-shock proteins’ abundance and pivotal function under multiple abiotic stresses
    Prabhat Kumar, Debashis Paul, Sunita Jhajhriya, Rishi Kumar, Suman Dutta, Priyanka Siwach, Sumanta Das
    Journal of Plant Biochemistry and Biotechnology.2024; 33(4): 492.     CrossRef
  • 1H-NMR-based metabolomic profiling and proteomic analysis of soybean (Glycine max L.) in response to dicarboxylic acids (photon) application as a stress priming agent
    Mhlonipheni Nhlakanipho Msomi, Gerhard Prinsloo, Noluyolo Nogemane
    Heliyon.2024; 10(18): e37466.     CrossRef
  • Improvement of heat stress tolerance in soybean (Glycine max L), by using conventional and molecular tools
    Guan Jianing, Gai Yuhong, Guan Yijun, Adnan Rasheed, Zhao Qian, Xie Zhiming, Athar Mahmood, Zhang Shuheng, Zhang Zhuo, Zhao Zhuo, Wang Xiaoxue, Wei Jian
    Frontiers in Plant Science.2022;[Epub]     CrossRef
  • Heat shock transcriptional factor genes (VfHSFs) of Vitis flexuosa respond differentially to high temperature in grapevines
    Ju Hyoung Lee, Seon Ae Kim, Soon Young Ahn, Hae Keun Yun
    Horticulture, Environment, and Biotechnology.2021; 62(1): 87.     CrossRef
  • High‐temperature resilience in Bacillus safensis primed wheat plants: A study of dynamic response associated with modulation of antioxidant machinery, differential expression of HSPs and osmolyte biosynthesis
    Jayanwita Sarkar, Usha Chakraborty, Bishwanath Chakraborty
    Environmental and Experimental Botany.2021; 182: 104315.     CrossRef
  • Melatonin Ameliorates Thermotolerance in Soybean Seedling through Balancing Redox Homeostasis and Modulating Antioxidant Defense, Phytohormones and Polyamines Biosynthesis
    Muhammad Imran, Muhammad Aaqil Khan, Raheem Shahzad, Saqib Bilal, Murtaza Khan, Byung-Wook Yun, Abdul Latif Khan, In-Jung Lee
    Molecules.2021; 26(17): 5116.     CrossRef
  • Effect of Heat Stress on Seed Protein Composition and Ultrastructure of Protein Storage Vacuoles in the Cotyledonary Parenchyma Cells of Soybean Genotypes That Are Either Tolerant or Sensitive to Elevated Temperatures
    Hari B. Krishnan, Won-Seok Kim, Nathan W. Oehrle, James R. Smith, Jason D. Gillman
    International Journal of Molecular Sciences.2020; 21(13): 4775.     CrossRef
  • Assessment of synthetic hexaploid wheats in response to heat stress and leaf rust infection for the improvement of wheat production
    Hai An Truong, Won Je Lee, Masahiro Kishii, Suk-Whan Hong, Chon-Sik Kang, Byung Cheon Lee, Hojoung Lee
    Crop & Pasture Science.2019; 70(10): 837.     CrossRef
  • Transcriptome analysis reveals plasticity in gene regulation due to environmental cues in Primula sikkimensis, a high altitude plant species
    Priya Darshini Gurung, Atul Kumar Upadhyay, Pardeep Kumar Bhardwaj, Ramanathan Sowdhamini, Uma Ramakrishnan
    BMC Genomics.2019;[Epub]     CrossRef
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Fine Mapping and Candidate Gene Analysis of Small Round Grain Mutant in Rice
Jeonghwan Seo, Yogendra Bordiya, Chanmi Lee, Hee-Jong Koh
Plant Breed. Biotech. 2017;5(4):354-362.   Published online December 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.4.354

Grain size and panicle architecture are important traits determining yield. Here we report a new allele of DEP2 (dense and erect panicle 2) which has a pleiotropic effect on grain size/shape and panicle architecture. A small round grain and erect panicle mutant was obtained by treating japonica cultivar Hwacheong waxy with MNU (N-methyl-N-nitrosourea). Through fine mapping sequence analysis, we identified the single nucleotide substitution in the mutant, which caused splicing error of the first intron, on previously reported DEP2 locus in rice. Since the dep2-1 and dep2-2 have been reported in previous studies, we named this new allele as dep2-3. The dep2-3 mutant manifested reduced grain size and plant height, dense and erect panicle and erect plant architecture. When we crossed the mutant with wild type, panicle and grain of F1 plant showed intermediate phenotype, indicating that dep2-3 showed incomplete dominance, which was not reported in the previous study. Scanning electron microscopy (SEM) results showed that increase in width of mutant grain was due to the increased width of glume cells. Paraffin section of peduncle revealed that outgrowth in outer layer of peduncle compared to inner layer caused the erectness of the panicle. Our results collectively indicated that the dep2-3 might play a significant role in the regulation of grain size/shape and formation of vascular bundles.

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  • QTL Analysis of Rice Grain Size Using Segregating Populations Derived from the Large Grain Line
    Ja-Hong Lee, Jeonghwan Seo, San Mar Lar, Seong-Gyu Jang, Hongjia Zhang, Ah-Rim Lee, Fang-Yuan Cao, Na-Eun Kim, Joohyun Lee, Soon-Wook Kwon
    Agriculture.2021; 11(6): 565.     CrossRef
  • Mutagenesis in Rice: The Basis for Breeding a New Super Plant
    Vívian Ebeling Viana, Camila Pegoraro, Carlos Busanello, Antonio Costa de Oliveira
    Frontiers in Plant Science.2019;[Epub]     CrossRef
  • Whole Genome Resequencing from Bulked Populations as a Rapid QTL and Gene Identification Method in Rice
    Workie Anley Zegeye, Yingxin Zhang, Liyong Cao, Shihua Cheng
    International Journal of Molecular Sciences.2018; 19(12): 4000.     CrossRef
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Growth and Physiological Responses of Quercus acutissima Seedling under Drought Stress
Hyemin Lim, Jun Won Kang, Solji Lee, Hyunseok Lee, Wi Young Lee
Plant Breed. Biotech. 2017;5(4):363-370.   Published online December 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.4.363

In this study, Quercus acutissima seedlings were subjected to drought for 30 days then analyzed to determine their response to water deficit. The growth phenotype, chlorophyll fluorescence response, fresh weight, dry weight, photosynthetic pigment levels, soluble sugar content, and malondialdehyde (MDA) were measured to evaluate the effects of drought on plant growth and physiology. The growth phenotype was observed by infrared (IR) digital thermal imaging after 30 days of drought treatment. The maximum, average, and minimum temperatures of drought-treated plant leaves were 1–2°C higher than those of the control. In contrast, the fresh and dry weights of the dehydrated leaves were generally lower than those of the control. There were no significant differences between treatments in terms of chlorophyll a, chlorophyll b, total chlorophyll, and carotenoid levels. Nevertheless, for the drought treatment, the Fv/Fm and Fv/Fo ratios (chlorophyll fluorescence response) were lower than those for the control. Therefore, photosynthetic activity was lower in the dehydrated plants than the control. The drought-stressed Q. acutissima S0536 had lower soluble sugar (glucose and fructose) and higher MDA levels than the controls. These findings may explain the early growth and physiological responses of Q. acutissima to dehydration and facilitate the selection of drought-resistant tree families.

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  • Linking Leaf Angle to Physiological Responses for Drought Stress Detection: Case Study on Quercus acutissima Carruth. in Forest Nursery
    Ukhan Jeong, Dohee Kim, Sohyun Kim, Jiyeon Park, Seung Hyun Han, Eun Ju Cheong
    Forests.2026; 17(3): 348.     CrossRef
  • Seedling-stage drought responses of two endemic pear and oak species inform climate-adaptive management in Hyrcanian forests
    Yadollah Davoudi, Masoud Tabari, Seyed Ehsan Sadati, Martin Karl-Friedrich Bader
    Frontiers in Plant Science.2026;[Epub]     CrossRef
  • Early Post-Germination Physiological Traits of Oak Species Under Various Environmental Conditions in Oak Forests
    Ljubica Mijatović, Branko Kanjevac, Janko Ljubičić, Ivona Kerkez Janković, Jovana Devetaković
    Forests.2025; 17(1): 3.     CrossRef
  • Detection of responses to drought stress of dalbergia cochinchinensis seedlings using the physiological parameters and thermal imaging
    Mala Seng, Ukhan Jeong, Eun Ju Cheong
    Forest Science and Technology.2023; 19(2): 105.     CrossRef
  • Gas Exchanges and Accumulation of Osmolites in Declined Persian Oak Stands in Ilam Province (Case study: Gchan and Sheshdar Forest Area)
    afsaneh Tongo, Hamid Jalilvand, Mohamad Hosseininasr, Hamid Reza Naji
    Ecology of Iranian Forests.2022; 10(19): 22.     CrossRef
  • Leaf morphological and physiological variations in response to canopy dieback of Persian Oak (Quercus brantii Lindl.)
    Afsaneh Tongo, Hamid Jalilvand, Mohamad Hosseininasr, Hamid Reza Naji, P. Łakomy
    Forest Pathology.2021;[Epub]     CrossRef
  • Genetic Diversity and Physiological Response to Drought Stress of Chamaecyparis obtuse from Six Geographical Locations
    Tae-Lim Kim, Kyungmi Lee, Wonwoo Cho, Danbe Park, Il Hwan Lee, Hyemin Lim
    Plant Breeding and Biotechnology.2021; 9(2): 112.     CrossRef
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Identification of Heterosis QTLs for Yield and Yield-Related Traits in Indica-Japonica Recombinant Inbred Lines of Rice (Oryza sativa L.)
Chang-Kug Kim, Sang-Ho Chu, Han Yong Park, Jeonghwan Seo, Backki Kim, Gileung Lee, Hee-Jong Koh, Joong Hyoun Chin
Plant Breed. Biotech. 2017;5(4):371-389.   Published online December 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.4.371

Supplying sufficient rice to growing populations is a global challenge. Hybrid indica rice varieties exploiting heterosis have increased yields, but inter-subspecific crosses between indica and japonica varieties are hampered by sterility. Examination and genetic understanding of yield heterosis in indica/japonica crosses addressing yield barriers are basic requirements. In this study, QTLs for heterosis of yield traits were identified in indica-japonica recombinant inbred lines (RILs) using a total of 178 RILs originating from Dasanbyeo (indica) × TR22183 (japonica) (DT-RILs) and their backcrossed populations. Nine of sixty-six major quantitative trait loci (QTLs) identified in DT-RILs exhibited heterosis. Heterosis QTLs clustered with other traits on chromosomes 1, 4, and 8, and clusters were conserved between different RILs. The clusters contained several known yield enhancement genes/QTLs. Specific heterotic allele combinations contributed to four major heterosis QTLs, particularly for panicle and spikelet number traits. Heterosis for yield and yield-related traits was explained by the harmonized effects of overdominance, dominance, and epistatic interactions in inter-subspecific breeding populations.

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  • Exploring environmentally stable and novel genetic factors influencing rice grain shape and yield attributes
    Sadia Gull, Zulqarnain Haider, Houwen Gu, Saleem Uddin, Muhammad Qasim, Rana Ahsan Raza Khan, Adil Altaf, Sajid Fiaz, Mona S. Alwahibi, Mohamed S. Elshikh, Rashid Iqbal, Jun Miao, Guohua Liang
    Euphytica.2025;[Epub]     CrossRef
  • Quantitative Trait Loci Analysis of Leaf Size Traits Using the Recombinant Inbred Lines Derived from a Cross between ‘Odae’ and ‘Unbong40’
    Eunchan Lee, Mihyun Cho, Soojin Jun, Hwayoung Kim, Seon-Hwa Bae, Myeongjin Kang, Hyoja Oh, Jae-Hyeon Oh, HwangWeon Jeong, Il-Pyung Ahn, Jae Il Lyu, Hyeonso Ji
    Korean Journal of Breeding Science.2024; 56(4): 449.     CrossRef
  • Analysis of Agricultural Traits of O. sativa and O. glaberrima under Korean Climatic Conditions
    Jae-Ryoung Park, Hyun-Su Park, Jeonghwan Seo, Chang-Min Lee, Songhee Park, Mina Jin, Keon Mi Lee, Keunpyo Lee, Sukyeung Lee, Ebrima Jallow, O-Young Jeong
    Korean Journal of Breeding Science.2024; 56(2): 97.     CrossRef
  • Association Analysis of Yield-Related Traits in Rice Following the Introduction of Brown Planthopper Resistant Genes
    Jae-Ryoung Park, Jeonghwan Seo, Chang-Min Lee, Songhee Park, Mina Jin, Keon Mi Lee, O-Young Jeong, Jung-Pil Suh, Hyun-Su Park
    Korean Journal of Breeding Science.2024; 56(4): 381.     CrossRef
  • Genetic mechanism of heterosis for rice milling and appearance quality in an elite rice hybrid
    Hui You, Sundus Zafar, Fan Zhang, Shuangbing Zhu, Kai Chen, Congcong Shen, Xiuqin Zhao, Wenzhong Zhang, Jianlong Xu
    The Crop Journal.2022; 10(6): 1705.     CrossRef
  • Genetic dissection of grain traits and their corresponding heterosis in an elite hybrid
    Sundus Zafar, Hui You, Fan Zhang, Shuang Bin Zhu, Kai Chen, Congcong Shen, Hezhou Wu, Fangjin Zhu, Conghe Zhang, Jianlong Xu
    Frontiers in Plant Science.2022;[Epub]     CrossRef
  • Mapping QTLs for yield and photosynthesis-related traits in three consecutive backcross populations of Oryza sativa cultivar Cottondora Sannalu (MTU1010) and Oryza rufipogon
    Venkateswara Rao Yadavalli, Divya Balakrishnan, Malathi Surapaneni, Krishnamraju Addanki, Sukumar Mesapogu, Kavitha Beerelli, Subrahmanyam Desiraju, Sitapati Rao Voleti, Sarla Neelamraju
    Planta.2022;[Epub]     CrossRef
  • Genomic Architecture of Yield Performance of an Elite Rice Hybrid Revealed by its Derived Recombinant Inbred Line and Their Backcross Hybrid Populations
    Fan Zhang, Conghe Zhang, Xiuqin Zhao, Shuangbing Zhu, Kai Chen, Guixiang Zhou, Zhichao Wu, Min Li, Tianqing Zheng, Wensheng Wang, Zhi Yan, Qinyong Fei, Zhikang Li, Jinjie Chen, Jianlong Xu
    Rice.2022;[Epub]     CrossRef
  • A meta-quantitative trait loci analysis identified consensus genomic regions and candidate genes associated with grain yield in rice
    Kelvin Dodzi Aloryi, Nnaemeka Emmanuel Okpala, Aduragbemi Amo, Semiu Folaniyi Bello, Selorm Akaba, Xiaohai Tian
    Frontiers in Plant Science.2022;[Epub]     CrossRef
  • Mapping of QTLs for Yield Traits Using F2:3:4 Populations Derived From Two Alien Introgression Lines Reveals qTGW8.1 as a Consistent QTL for Grain Weight From Oryza nivara
    Kavitha Beerelli, Divya Balakrishnan, Krishnam Raju Addanki, Malathi Surapaneni, Venkateswara Rao Yadavalli, Sarla Neelamraju
    Frontiers in Plant Science.2022;[Epub]     CrossRef
  • Mapping novel QTLs for yield related traits from a popular rice hybrid KRH-2 derived doubled haploid (DH) population
    Swapnil Ravindra Kulkarni, S. M. Balachandran, K. Ulaganathan, Divya Balakrishnan, A. S. Hari Prasad, G. Rekha, M. B. V. N. Kousik, S. K. Hajira, Ravindra Ramarao Kale, D. Aleena, M. Anila, E. Punniakoti, T. Dilip, K. Pranathi, M. Ayyappa Das, Mastanbee S
    3 Biotech.2021;[Epub]     CrossRef
  • Genetic dissection of heterosis of indica–japonica by introgression line, recombinant inbred line and their testcross populations
    Wenqing Yang, Fan Zhang, Sundus Zafar, Junmin Wang, Huajin Lu, Shahzad Naveed, Jue Lou, Jianlong Xu
    Scientific Reports.2021;[Epub]     CrossRef
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    Swapnil Ravindra Kulkarni, S. M. Balachandran, K. Ulaganathan, Divya Balakrishnan, M. Praveen, A. S. Hari Prasad, R. A. Fiyaz, P. Senguttuvel, Pragya Sinha, Ravindra R. Kale, G. Rekha, M. B. V. N. Kousik, G. Harika, M. Anila, E. Punniakoti, T. Dilip, S. K
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