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"Joohyun Lee"

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"Joohyun Lee"

Research Articles
Genome-Wide Association Study of Blast Resistant in Korean Rice (Oryza sativa L.) Breed Lines
Tae-Ho Ham, Ja-Hong Lee, Seong-Gyu Jang, Muhyun Kim, Hongjia Zhang, Na-Eun Kim, Soon-Wook Kwon, Joohyun Lee
Plant Breed. Biotech. 2022;10(2):139-144.   Published online June 1, 2022
DOI: https://doi.org/10.9787/PBB.2022.10.2.139

A total of 857 rice breed lines were used to evaluate rice blast resistance. Frequency of leaf spot index was skewed to the right of the 1-9 scale in bar plot, with a score of 7 showing the highest frequency. The average spot index score of 857 breed lines was 5.33. Associations showing higher than the threshold of ‒log10(P) = 5.17 were detected as significant associations. Significantly associated single nucleotide polymorphism (SNP) markers located within ± 250 kb on the lead SNP position was designated to one QTL locus of lead SNP markers. Five association loci were detected. Two associated QTLs detected on Chr. 4 were designated as qRB4.1 and qRB422, explaining 17.8% and 14.3% of total phenotypic variations, respectively. Associated QTLs detected on Chr. 1, 11, and 12 (one each) designated as qRB1, qRB11 and qRB12 explained 44.6%, 9.09%, and 13.7% of total phenotypic variations, respectively. We compared previously reported QTLs. The location of qRB4.2 was overlapped with the previously reported QTL for blast field resistance. The location of qRB12 was also overlapped with the field resistance leaf blast. The other one, qRB4.1, was overlapped with bacterial blight resistance.

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  • Genome-Wide Association Study of Body Conformation Traits in Tashi Goats (Capra hircus)
    Rong Yang, Di Zhou, Xiaoshan Tan, Zhonghai Zhao, Yanli Lv, Xingzhou Tian, Liqun Ren, Yan Wang, Jun Li, Yongju Zhao, Jipan Zhang
    Animals.2024; 14(8): 1145.     CrossRef
  • Genome-Wide Association Study of Submergence Tolerance in Rice (Oryza sativa L.)
    Seong-Gyu Jang, Backki Kim, Yongchul Kim, Soon-Wook Kwon
    Plant Breeding and Biotechnology.2023; 11(1): 25.     CrossRef
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Evaluation of the Rsistant to Bakanae Disease in Korean Rice Landraces (Oryza sativa L.)
Soon-Wook Kwon, Na-Eun Kim, Sang, Hyeon Jin, Jeonghwan Seo, Tae-Ho Ham, Joohyun Lee
Plant Breed. Biotech. 2021;9(4):355-359.   Published online December 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.4.355

Bakanae disease is an important fungal disease caused by Gibberella fujikuroi. The outbreak of rice bakanae disease causes the most important problems for rice producing countries and affects almost all known rice cultivars. Identifying balance disease resistance in Korean Rice Landrace with diverse genetic sources is important for efficient breeding. In this study, we tried to find out useful genetic resources for bakanae resistant cultivar. The result suggested highly strong 3 varieties (‘IT010631’, ‘IT009118’ and ‘IT009221’.) to be used in breeding program. Additionally, we applied reported marker related qFfR1 bakanae disease to accessions which showed strong resistance. It is expected that these resources can be used to develop useful cultivars for each trait. Especially, accessions showed strong resistance in this study have different genotype with reported resistant resources, they would be used to find other genes related to bakanae resistance.

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  • Genome-Wide Association Study to identify Bakanae disease resistance-related QTLs carrying novel candidate genes in rice (Oryza sativa L.)
    Yuting Zeng, Fang-Yuan Cao, Ah-Rim Lee, Dongryung Lee, Backki Kim, Soon-Wook Kwon
    npj Science of Plants.2025;[Epub]     CrossRef
  • Current insights on rice (Oryza sativa L.) bakanae disease and exploration of its management strategies
    Chinnannan Karthik, Qingyao Shu
    Journal of Zhejiang University-SCIENCE B.2023; 24(9): 755.     CrossRef
  • Evaluation of Major Rice Varieties for Bakanae Disease Resistance in Korea
    Sais-Beul Lee, Ju-Won Kang, Ji-Yoon Lee, Gi-Un Seong, Youngho Kwon, So-Myeong Lee, Nkulu Rolly Kabang, Jun-Hyeon Cho, Seong-Hwan Oh, Dongjin Shin, Jong-Hee Lee, Ki-Won Oh, Dong-Soo Park
    Korean Journal of Breeding Science.2023; 55(2): 103.     CrossRef
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Genome-Wide Association Study for Cold Tolerance in Rice Seedlings under Cold-Water Treatment
Na-Eun Kim, Soon-Wook Kwon, Jeonghwan Seo, Tae-Ho Ham, Joohyun Lee
Plant Breed. Biotech. 2021;9(4):345-354.   Published online December 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.4.345

Rice is a temperature-sensitive crop, its yield is severely affected by low temperature, especially cold stress at the seedling stage will delay heading. To understand the genetic basis of cold tolerance, we evaluated the cold tolerance at the seedling stage of 136 rice accessions. To evaluate cold tolerance, we treated rice seedlings with cold water irrigation for ten days and scored the cold tolerance on a 1-9 scale, based on their low-temperature response and subsequent recovery. The genome-wide association study for cold tolerance revealed seven QTLs on chromosomes 1, 3, 6, 7, 10, and 12. The genomic region of the qCWS7 on chromosome 7 overlapped with a previously reported QTL associated with cold tolerance in the germinating stage. Similarly, qCWS1-1, qCWS1-2, qCWS3, qCWS6, and qCWS10 overlapped with a previously reported QTL associated with drought-stress tolerance. Subsequent bioinformatic and haplotype analyses suggested that five candidate genes affect cold tolerance: Os01g0228600 encoding a cytosolic hydroxypyruvate reductase, Os03g0115000 encoding a cupredoxin domain containing protein, Os06g0612800 encoding a stress-associated protein (SAP) gene family, Os12g0552500 encoding a universal stress protein (USP), and Os10g0482900 encoding a thioredoxin fold domain containing protein.

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  • Analysis of quantitative trait loci and candidate gene exploration associated with cold tolerance in rice (Oryza sativa L.) during the seedling stage
    Sumin Jo, Seong-Gyu Jang, Sais-Beul Lee, Ji-Yoon Lee, Jun-Hyeon Cho, Ju-Won Kang, Yeongho Kwon, So-Myeong Lee, Dong-Soo Park, Soon-Wook Kwon, Jong-Hee Lee
    Frontiers in Plant Science.2025;[Epub]     CrossRef
  • Genome-wide Association Study for Cold Tolerance at Seedling Stage Using a Core Collection of Korean Rice
    Sa-Eun Park, Ngoc Ha Luong, Sang-Nag Ahn, Kyu-Chan Shim
    Journal of Agriculture & Life Science.2025; 59(2): 13.     CrossRef
  • Predicting the influence of extreme temperatures on grain production in the Middle-Lower Yangtze Plains using a spatially-aware deep learning model
    Zijun Mu, Junfei Xia
    PeerJ.2024; 12: e18234.     CrossRef
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Genome Wide Association Study of Rice (Oryza sativa L.) during Heading Stage under a High Temperature
Yebin Kwon, Tae-Ho Ham, JeeHye Kim, Gileung Lee, Yoonjung Lee, Joohyun Lee
Plant Breed. Biotech. 2021;9(2):104-111.   Published online June 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.2.104

At the reproductive development stage of rice (Oryza sativa L.), temperature stress can decrease spikelet fertility, ultimately resulting in a yield loss. In this study, a total of 98 rice varieties were used in genome-wide association study (GWAS) to understand spikelet fertility under a high temperature (SFHT). GWAS results revealed that two lead SNPs were significantly associated with SFHT. Candidate genes located within ± 250 kb of the corresponding SNP position were discovered, resulting in a total of 21 candidate genes on chromosome 10 and 18 candidate genes on chromosome 11. Based on previously reported function and haplotype analysis, Os10g0177200 (EF-HAND 2domain containing protein) as one candidate gene showed significant differences among groups of haplotypes. This candidate gene will be further evaluated for its function to determine whether it is useful for improving molecular breeding studies and developing new high temperature tolerant rice varieties.

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  • Phenotypic diversity and multivariate analyses of yield and yield-related traits in amaranth accessions from Malawi
    Abel Sefasi, Mvuyeni Nyasulu, Rowland Maganizo Kamanga, Louis Yalaukani, Samson Pilanazo Katengeza, Maurice Monjerezi, Charles Malidadi, Kingsley Masamba
    BMC Plant Biology.2025;[Epub]     CrossRef
  • Genome-Wide Association Mapping for Yield and Yield-Related Traits in Rice (Oryza Sativa L.) Using SNPs Markers
    Muhammad Ashfaq, Abdul Rasheed, Renshan Zhu, Muhammad Ali, Muhammad Arshad Javed, Alia Anwar, Javaria Tabassum, Shabnum Shaheen, Xianting Wu
    Genes.2023; 14(5): 1089.     CrossRef
  • An overview of genome-wide association mapping studies in Poaceae species (model crops: wheat and rice)
    Muhammad Abu Bakar Zia, Muhammad Farhan Yousaf, Arslan Asim, Muhammad Naeem
    Molecular Biology Reports.2022; 49(12): 12077.     CrossRef
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Detection of Whole-Genome Resequencing-Based QTLs Associated with Pre-Harvest Sprouting in Rice (Oryza sativa L.)
Seong-Gyu Jang, San Mar Lar, Hongjia Zhang, Ah-Rim Lee, Ja-Hong Lee, Na-Eun Kim, So-Yeon Park, Joohyun Lee, Tae-Ho Ham, Soon-Wook Kwon
Plant Breed. Biotech. 2020;8(4):396-404.   Published online December 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.4.396

Pre-harvest sprouting (PHS) is one of the important traits that not only cause serious economic issues but also lead to reduction in grain quality and yield in rice (Oryza sativa L.). To analyze the quantitative trait loci (QTLs) for PHS tolerance, we evaluated PHS, seed dormancy (SD), and low-temperature germination (LTG) of 88 F2:3 populations and their parental lines. Genotypic analysis was performed by using 441 single nucleotide polymorphisms (SNPs) detected from re-sequencing data. Seed dormancy (SD) and low-temperature germination (LTG) were identified to exhibit a positive correlation with PHS. Under the field condition, two major QTLs for PHS, qPHS1-1FC and qPHS1-2FC were identified on chromosome 1. Under the growth chamber condition, qPHS1-1GC and qPHS1-2GC had the same regions on chromosome 1. QTLs of SD and LTG (qSD1-1, qSD1-2, qLTG1-1, and qLTG1-2) had the same regions; these results suggested that candidate QTLs demonstrate pleiotropy about PHS, SD, and LTG. The major QTLs detected in this study are hypothesized to provide an important resource for molecular breeding and gain a better understanding of the genetics of traits in rice.

Citations

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  • Integrated physiological, genetic, and environmental insights into pre-harvest sprouting in cereal for climate-resilient breeding
    Trung Quoc Nguyen, Gioi Huy Dong, Nguyen LV, Thao Duc Le, Nguyen Nguyen Chuong, Weiqiang Li, Ha Duc Chu, Cuong Ngoc Duong, Lam-Son Phan Tran
    Seed Biology.2026;[Epub]     CrossRef
  • Mapping QTLs for PHS resistance and development of a deep learning model to measure PHS rate in japonica rice
    Soojin Jun, Mi Hyun Cho, Hyoja Oh, Younguk Kim, Dong Kyung Yoon, Myeongjin Kang, Hwayoung Kim, Seon‐Hwa Bae, Song Lim Kim, Jeongho Baek, HwangWeon Jeong, Jae Il Lyu, Gang‐Seob Lee, Changsoo Kim, Hyeonso Ji
    The Plant Genome.2025;[Epub]     CrossRef
  • Whole-genome meta-analysis coupled with haplotype analysis reveal new genes and functional haplotypes conferring pre-harvest sprouting in rice
    Kelvin Dodzi Aloryi, Nnaemeka Emmanuel Okpala, Mawuli Korsi Amenyogbe, Daniel Bimpong, Benjamin Karikari, Hong Guo, Semiu Folaniyi Bello, Selorm Akaba, Akwasi Yeboah, Abdul Razak Ahmed, Patrick Maada Ngegba, Nabieu Kamara, Juliet Nkiruku Anyanwu, Danielle
    BMC Plant Biology.2025;[Epub]     CrossRef
  • QTL Analysis for Pre-Harvest Sprouting and Low-Temperature Germinability Using Recombinant Inbred Lines Derived from a Cross between ‘Chamdongjin’ and ‘Younghojinmi’
    Hyun-Su Park, Jeonghwan Seo, Heyonso Ji, Gileung Lee, Chang-Min Lee, Jae-Ryoung Park, Songhee Park, Keon-Mi Lee, Mina Jin, O-Young Jeong
    Korean Journal of Breeding Science.2024; 56(2): 79.     CrossRef
  • Discovery of Genomic Regions and Candidate Genes for Awn Length Using QTL-seq in Rice (Oryza sativa L.)
    Dongryung Lee, Hongjia Zhang, Yuting Zeng, Backki Kim, Soon-Wook Kwon
    Plant Breeding and Biotechnology.2023; 11(4): 271.     CrossRef
  • Fine-Mapping Analysis of the Genes Associated with Pre-Harvest Sprouting Tolerance in Rice (Oryza sativa L.)
    Seong-Gyu Jang, Backki Kim, Insoo Choi, Joohyun Lee, Tae-Ho Ham, Soon-Wook Kwon
    Agronomy.2023; 13(3): 818.     CrossRef
  • QTL mapping and improvement of pre-harvest sprouting resistance using japonica weedy rice
    Chang-Min Lee, Hyun-Su Park, Man-Kee Baek, O-Young Jeong, Jeonghwan Seo, Suk-Man Kim
    Frontiers in Plant Science.2023;[Epub]     CrossRef
  • Application of CRISPR/Cas9 Genome Editing System to Reduce the Pre- and Post-Harvest Yield Losses in Cereals
    Thumadath Palayullaparambil Ajeesh Krishna, Theivanayagam Maharajan, Stanislaus Antony Ceasar
    The Open Biotechnology Journal.2022;[Epub]     CrossRef
  • Seed Dormancy and Pre-Harvest Sprouting in Rice—An Updated Overview
    Soo-In Sohn, Subramani Pandian, Thamilarasan Senthil Kumar, Yedomon Ange Bovys Zoclanclounon, Pandiyan Muthuramalingam, Jayabalan Shilpha, Lakkakula Satish, Manikandan Ramesh
    International Journal of Molecular Sciences.2021; 22(21): 11804.     CrossRef
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Leaf Proteome Analysis in Brassica rapa L. (Inbred line ‘Chiifu’) using Shotgun Proteome Approach
Joohyun Lee
Plant Breed. Biotech. 2015;3(4):389-395.   Published online November 30, 2015
DOI: https://doi.org/10.9787/PBB.2015.3.4.389

Through high throughput shotgun proteomics approach, the proteome of seedling leaf of Brassica rapa L. was identified. From three biological replications, a total of 2,122 non-redundant proteins of Brassica rapa L seedling leaf were identified, with a wide range and unbiased physiochemical properties. Their pI values ranged from pH 4.27 (Bra004590) to pH 11.81 (Bra013905). Their molecular weight (MW) ranged from 5.6 kDa (Bra006908) to 534.5 kDa (Bra028068). Gene ontology enrichment analysis revealed that these proteins were associated with cellular process, metabolic process, and enriched catalytic activity compared to whole brassica proteins. The highest presented protein in Brassica rapa seedling leaf was RuBisCO, accounting for 11.56% of total leaf proteins. Also, many ribosomal proteins were identified. The relative amount of all ribosomal proteins comprised 8.47% of total leaf proteins. The relative amount of two RuBisCO and ribosomal proteins was about 20% of total leaf proteins. Thus to detect proteins presenting low abundance, additional fractionating procedure to remove RuBisCO and ribosomal proteins is required.

Citations

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  • Different Inhibitory Effects of Erythromycin and Chlortetracycline on Early Growth of Brassica campestris Seedlings
    Mi Sun Cheong, Hyeonji Choe, Myeong Seon Jeong, Young-Eun Yoon, Hyun Suk Jung, Yong Bok Lee
    Antibiotics.2021; 10(10): 1273.     CrossRef
  • Erythromycin Treatment of Brassica campestris Seedlings Impacts the Photosynthetic and Protein Synthesis Pathways
    Young-Eun Yoon, Hyun Min Cho, Dong-won Bae, Sung Joong Lee, Hyeonji Choe, Min Chul Kim, Mi Sun Cheong, Yong Bok Lee
    Life.2020; 10(12): 311.     CrossRef
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Effect of Proton Beam Irradiation on M1 Seeds and Seedling Growth in Rice
Joohyun Lee, A-Rim Lee, Soon-Wook Kwon
Plant Breed. Biotech. 2015;3(4):384-388.   Published online November 30, 2015
DOI: https://doi.org/10.9787/PBB.2015.3.4.384

This study was carried out to evaluate effect of proton beam irradiation on M1 seed germination and seedling growth. For dosage effect, mature and healthy Supersami2 seeds were irradiated with 0, 204, 395, 502, and 700Gy. The traits for germination were not affected by dosage effect of proton beam irradiation. Germination rate evaluated at 7 days after imbibition ranged from 93.3% to 98.7%; germination vigor ranged from 59.3% to 68.7% where in the dose of 700Gy showed the lowest value of 59.3%. The average days of germination ranged from 1.36 to 1.48. The seedling growth was affected by the dosage. Withered rate (withered plants after germination) was increased as the dose increased. The withered rate of 53.9% was detected in 395Gy and no plant survived in 700Gy. In the ~400Gy treatment, the sensitivity of the traits of germination among Dianxi4, Jeogjinju, MS11(Maligaya Special 11), and Superjami2 was not different while the withered rate was different: 9.7% in MS11, 32.1% in Dianxi4, 53.9% in Superjami2, and 59.7% in Jeogjinju. Based on the germination rate and withered rate, it can be suggested that 350Gy to 450Gy is a starting point for applying proton beam irradiation to rice seed for mutation breeding.

Citations

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  • Characteristics and Research Status of Mutation Breeding Using Accelerator Beams
    Si-Yong Kang
    Korean Journal of Breeding Science.2023; 55(2): 110.     CrossRef
  • The effect of gamma radiation on the growth of black rice plants generation m1
    S Nurhidayah, E Firmansyah, S Rahayu
    IOP Conference Series: Earth and Environmental Science.2021; 672(1): 012011.     CrossRef
  • Mutation resource of Samba Mahsuri revealed the presence of high extent of variations among key traits for rice improvement
    Gopi Potupureddi, Vishalakshi Balija, Suneel Ballichatla, Gokulan C. G., Komal Awalellu, Swathi Lekkala, Karteek Jallipalli, Gayathri M. G., Ershad Mohammad, Milton M, Srikanth Arutla, Rajender Burka, Laha Gouri Shankar, Padmakumari Ayyangari Phani, Subba
    PLOS ONE.2021; 16(10): e0258816.     CrossRef
  • Impact of Proton Beam Irradiation on the Growth and Biochemical Indexes of Barley (Hordeum vulgare L.) Seedlings Grown under Salt Stress
    Lacramioara Oprica, Marius-Nicusor Grigore, Iulia Caraciuc, Daniela Gherghel, Cosmin-Teodor Mihai, Gabriela Vochita
    Plants.2020; 9(9): 1234.     CrossRef
  • Effects of proton beam irradiation on seed germination and growth of soybean (Glycine max L. Merr.)
    Juhyun Im, Woon Ji Kim, Sang Hun Kim, Bo-Keun Ha
    Journal of the Korean Physical Society.2017; 71(11): 752.     CrossRef
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Rice Anther Protein Identification by Shotgun Proteomic Analysis
Joohyun Lee
Plant Breed. Biotech. 2015;3(3):264-273.   Published online September 30, 2015
DOI: https://doi.org/10.9787/PBB.2015.3.3.264

Rice anthers from Nipponbare in the flowering stage were collected, proteins extracted and shotgun proteomic analysis conducted. From three biological replications, total 3,198 non-redundant rice anther proteins were identified. There was no bias of physiochemical properties in identified proteins. Proteins showing wide pI value range and molecular weight were identified. The lowest pI value was pH 3.93 (LOC_Os07g41694.1) and the highest was pH 12.48 (LOC_Os01g69020.1). Molecular weights of the identified proteins ranged from 5.2kDa (LOC_Os02g27769.1) to 486.0kDa (LOC_Os09g07300.1). Gene ontolgy enrichment analysis revealed that proteins associated with cellular and metabolic processes, catalytic activity, cell, cell parts, and organelles were enriched in rice anther, suggesting the status of proteins in rice anther were associated with pollen germination and pollen tube elongation. The highly abundant proteins in rice anther were pollen allergens, ATP synthase, glyceraldehyde-3-phosphate dehydrogenase, cupin domain containing proteins, and ascorbate peroxidase.

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