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"Jeonghwan Seo"

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"Jeonghwan Seo"

Research Articles
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.

Citations

Citations to this article as recorded by  
  • 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.

Citations

Citations to this article as recorded by  
  • 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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QTL Analysis for Fe and Zn Concentrations in Rice Grains Using a Doubled Haploid Population Derived from a Cross Between Rice (Oryza sativa) Cultivar 93-11 and Milyang 352
So-Myeong Lee, Ju-Won Kang, Ji-Yoon Lee, Jeonghwan Seo, Dongjin Shin, Jun-Hyeon Cho, Sumin Jo, You-Chun Song, Dong-Soo Park, Jong-Min Ko, Hee-Jong Koh, Jong-Hee Lee
Plant Breed. Biotech. 2020;8(1):69-76.   Published online March 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.1.69

Biofortification is a cost-effective method for increasing the availability of micronutrients. Rice breeding for high levels of micronutrients is one of the best approaches to solve the problem of malnutrition. In this study, we developed a doubled haploid (DH) population derived from a cross between the rice cultivars 93-11 and Milyang 352 and evaluated QTLs for grain micronutrients and grain shape. Two co-localized QTLs, qFe3-1 and qZn3-1, were identified in the interval between ah03002520 and cmb0336.5 on chromosome 3, which explained 17.6% and 10.5% of the phenotypic variation, respectively. Correlation analysis between agronomic and micronutrient traits showed positive correlations between grain Fe and Zn contents but a negative correlation between grain Fe content and length-to-width ratio. This indicated the possibility of simultaneously increasing both Fe and Zn content in rice grains for improving the micronutrient profile of rice. We selected some promising lines by recombinant selection using linked markers on chromosome 3. The co-localized QTLs qFe3-1 and qZn3-1 might be useful for the improvement of biofortified rice breeding by marker-assisted selection and gene pyramiding.

Citations

Citations to this article as recorded by  
  • Precision breeding strategy to enrich iron and zinc in rice
    Rajvir Kaur, Rupinder Kaur, Renu Khanna, Gurjeet Singh, Dinesh Kumar Saini, Amandeep, Kumari Neelam, Navjot Sidhu, Ranvir Singh Gill
    Cereal Research Communications.2026; 54(1): 657.     CrossRef
  • Genomic Insights into the Genetic Control of Iron and Zinc Content in Rice: A Meta-analysis of Key Hotspots
    Om Prakash Raigar, Gaurav Augustine, Rupinder Kaur, Nitika Sandhu
    Journal of Plant Growth Regulation.2025;[Epub]     CrossRef
  • 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
  • Deciphering the genetic basis of agronomic, yield, and nutritional traits in rice (Oryza sativa L.) using a saturated GBS-based SNP linkage map
    Mark Ian C. Calayugan, Tapas Kumer Hore, Alvin D. Palanog, Amery Amparado, Mary Ann Inabangan-Asilo, Gaurav Joshi, Balachiranjeevi Chintavaram, B. P. Mallikarjuna Swamy
    Scientific Reports.2024;[Epub]     CrossRef
  • Rice biofortification: breeding and genomic approaches for genetic enhancement of grain zinc and iron contents
    P. Senguttuvel, Padmavathi G, Jasmine C, Sanjeeva Rao D, Neeraja CN, Jaldhani V, Beulah P, Gobinath R, Aravind Kumar J, Sai Prasad SV, Subba Rao LV, Hariprasad AS, Sruthi K, Shivani D, Sundaram RM, Mahalingam Govindaraj
    Frontiers in Plant Science.2023;[Epub]     CrossRef
  • Genome-wide association study (GWAS) with high-throughput SNP chip DNA markers identified novel genetic factors for mesocotyl elongation and seedling emergence in rice (Oryza sativa L.) using multiple GAPIT models
    Nkulu Rolly Kabange, Simon Alibu, Youngho Kwon, So-Myeong Lee, Ki-Won Oh, Jong-Hee Lee
    Frontiers in Genetics.2023;[Epub]     CrossRef
  • Genetic variability, G × E interaction and stability for iron and zinc content in sorghum grains in advanced breeding lines
    R. Madhusudhana, K. Hariprasanna, C. Aruna, Gowri M. Sajjanar, N.G. Hanamaratti, S. Sameera, Vilas A. Tonapi
    Journal of Cereal Science.2023; 110: 103653.     CrossRef
  • Improvement of Selection Efficiency of Haploid Maize Seeds Using Fluorescence Imaging
    Younguk Kim, Jeong Heon Han, Jaeyoung Kim, Yeongtae Kim, Nyunhee Kim, Chaewon Lee, Seoyeoun Lee, Song Lim Kim, Moon Jong Kim, Si Hwan Ryu, Hongro Lee, Hyeonso Ji, Kyung-Hwan Kim, Jeongho Baek
    Korean Journal of Breeding Science.2022; 54(4): 276.     CrossRef
  • 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
  • Transcriptional Changes in the Developing Rice Seeds Under Salt Stress Suggest Targets for Manipulating Seed Quality
    Choonseok Lee, Chong-Tae Chung, Woo-Jong Hong, Yang-Seok Lee, Jong-Hee Lee, Hee-Jong Koh, Ki-Hong Jung
    Frontiers in Plant Science.2021;[Epub]     CrossRef
  • Iron Biofortification in Rice: An Update on Quantitative Trait Loci and Candidate Genes
    B. P. Mallikarjuna Swamy, Balram Marathi, Ana I. F. Ribeiro-Barros, Mark Ian C. Calayugan, Felipe Klein Ricachenevsky
    Frontiers in Plant Science.2021;[Epub]     CrossRef
  • Combined Linkage Mapping and Genome-Wide Association Study Identified QTLs Associated with Grain Shape and Weight in Rice (Oryza sativa L.)
    Ju-Won Kang, Nkulu Rolly Kabange, Zarchi Phyo, So-Yeon Park, So-Myeong Lee, Ji-Yun Lee, Dongjin Shin, Jun Hyeon Cho, Dong-Soo Park, Jong-Min Ko, Jong-Hee Lee
    Agronomy.2020; 10(10): 1532.     CrossRef
  • Identification of a Novel QTL for Chlorate Resistance in Rice (Oryza sativa L.)
    Nkulu Rolly Kabange, So-Yeon Park, Dongjin Shin, So-Myeong Lee, Su-Min Jo, Youngho Kwon, Jin-Kyung Cha, You-Chun Song, Jong-Min Ko, Jong-Hee Lee
    Agriculture.2020; 10(8): 360.     CrossRef
  • Genetic Manipulation for Improved Nutritional Quality in Rice
    Priyanka Das, Sanghamitra Adak, Arun Lahiri Majumder
    Frontiers in Genetics.2020;[Epub]     CrossRef
  • STUDY OF ALLELIC VARIATION AT GENOME WIDE SSR LOCI IN PARENTS OF MAPPING POPULATION FOR HIGH GRAIN ZINC IN RICE (Oryza sativa L.)
    Sonali Habde, S. K. Singh, Korada Mounika, Amrutlal Khaire, D. K. Singh, Prasanta Kumar Majhi
    Journal of Experimental Biology and Agricultural Sciences.2020; 8(5): 558.     CrossRef
  • QTL Analysis of Heading Date Using 93-11×Milyang352 Doubled Haploid Lines in Rice
    So-Myeong Lee, Ju-Won Kang, Jun-Hyeon Cho, Ji-Yoon Lee, Dongjin Shin, Young-Ho Kwon, Jin-Kyung Cha, Sais-Beul Lee, Jong-Min Ko, Jong-Hee Lee
    Korean Journal of Breeding Science.2020; 52(4): 332.     CrossRef
  • Genetic Analysis Reveals a Major Effect QTL Associated with High Grain Zinc Content in Rice (Oryza sativaL.)
    Shaikh J. Mohiuddin, Md. Ashraful Haque, Md. Manjurul Haque, Md. Tofazzal Islam, Partha S. Biswas
    Plant Breeding and Biotechnology.2020; 8(4): 327.     CrossRef
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Identification of Yield and Yield-Related Quantitative Trait Loci for the Field High Temperature Condition in Backcross Populations of Rice (Oryza sativa L.)
Jeonghwan Seo, So-Myeong Lee, Jae-Hyuk Han, Na-Hyun Shin, Hee-Jong Koh, Joong Hyoun Chin
Plant Breed. Biotech. 2019;7(4):415-426.   Published online December 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.4.415

The yield related traits are controlled by multiple quantitative trait loci (QTLs) and influenced by environmental change in rice. We analyzed QTLs for 15 yield related traits using two backcross populations, derived from crosses between IR64 as recurrent parent and Koshihikari as donor parent, through two years. A total of 67 backcross inbred lines (BILs) and 40 chromosome segment substitution lines (CSSLs) were genotyped using 183 SNP markers using a high-throughput genotyping system. Some genomic gaps between markers were identified in two populations. For fifteen traits in this study, 36 major QTLs (mQTLs) for 12 traits and 16 digenic epistatic QTLs (EpQTLs) for culm length were detected in BILs. On the other hand, 17 mQTLs were detected for nine traits in CSSLs. Among them, six mQTLs for grain yield traits were collocated on chromosome 10 in both years. For spikelet fertility, six putative QTLs were detected under high temperature conditions in 2018. The QTLs identified in this study could be used for the development of rice varieties conferring inter-subspecific combinations of yield-related traits.

Citations

Citations to this article as recorded by  
  • Haplotype-based multi-locus genome-wide association study reveals genomic regions associated with reproductive stage high temperature stress tolerance in rice
    Adhip Das, Madan Pal, Adam H. Price, Sukumar Taria, Ayushman Mallick, Megha Sharma, Sudhir Kumar, Ranjith Kumar Ellur, S. Gopala Krishnan, Lekshmy Sathee, Pradeep Kumar Jain, Monika Dalal, Annamalai Anandan, Siddharth Panda, Anita Kumari, Manu Agarwal, Vi
    Plant Molecular Biology.2026;[Epub]     CrossRef
  • Decrypting molecular mechanism of heat stress tolerance in rice to tackle climate change challenges through recent approaches
    Neeraj Kumar, Seyed Mahdi Hosseiniyan Khatibi, Deepak Sharma, Faraz Azeem, Ganesh Kumar Koutu, Jauhar Ali
    Frontiers in Plant Science.2026;[Epub]     CrossRef
  • ‘Drimi9ho’, A Lodging Tolerance with Mid-late Maturing, Improved White-backed Planthopper (Sogatella furcifera) and Cultivation Stability
    Jae-Ryoung Park, Eun-Gyeong Kim, Yoon-Hee Jang, Kyung-Min Kim
    Korean Journal of Breeding Science.2025; 57(4): 493.     CrossRef
  • Climate-driven trends in rice grain appearance: a 2023–2024 comparative study using Korea field data
    Jae-Ryoung Park, Su-Kyung Ha, Hyun-Sook Lee, Gileung Lee, Seung Young Lee, Kyeong Min Kang, Jung-Pil Suh, Mina Jin, Hyun-Su Park, Chang-Min Lee, Jeonghwan Seo, Songhee Park, Keon-Mi Lee, O-Young Jeong
    Journal of Crop Science and Biotechnology.2025; 28(5): 657.     CrossRef
  • Natural variation of HTH5 from wild rice, Oryza rufipogon Griff., is involved in conferring high‐temperature tolerance at the heading stage
    Zhibin Cao, Huiwu Tang, Yaohui Cai, Bohong Zeng, Jialiang Zhao, Xiuying Tang, Ming Lu, Huimin Wang, Xuejing Zhu, Xiaofeng Wu, Linfeng Yuan, Jianlin Wan
    Plant Biotechnology Journal.2022; 20(8): 1591.     CrossRef
  • 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
  • A trait specific QTL survey identifies NL44, a NERICA cultivar as a novel source for reproductive stage heat stress tolerance in rice
    K. T. Ravikiran, S. Gopala Krishnan, K. K. Vinod, Gaurav Dhawan, Priyanka Dwivedi, Pankaj Kumar, Vijay Prakash Bansal, M. Nagarajan, Prolay K. Bhowmick, Ranjith K. Ellur, Haritha Bollinedi, Madan Pal, Amitha C. R. Mithra, A. K. Singh
    Plant Physiology Reports.2020; 25(4): 664.     CrossRef
  • Genetic and Phenotypic Characterization of Rice Backcrossed Inbred Sister Lines of Saltol in Temperate Saline Reclaimed Area
    Jae-Hyuk Han, Na-Hyun Shin, Je-Hoon Moon, Changhwan Yi, Soo-Cheul Yoo, Joong Hyoun Chin
    Plant Breeding and Biotechnology.2020; 8(1): 58.     CrossRef
  • Characterization of the Common Japonica-Originated Genomic Regions in the High-Yielding Varieties Developed from Inter-Subspecific Crosses in Temperate Rice (Oryza sativa L.)
    Jeonghwan Seo, So-Myeong Lee, Jae-Hyuk Han, Na-Hyun Shin, Yoon Kyung Lee, Backki Kim, Joong Hyoun Chin, Hee-Jong Koh
    Genes.2020; 11(5): 562.     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.

Citations

Citations to this article as recorded by  
  • 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
  • Molecular mapping of QTLs for yield related traits in recombinant inbred line (RIL) population derived from the popular rice hybrid KRH-2 and their validation through SNP genotyping
    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
    Scientific Reports.2020;[Epub]     CrossRef
  • Mapping and Validation of QTLs for the Amino Acid and Total Protein Content in Brown Rice
    Su Jang, Jae-Hyuk Han, Yoon Kyung Lee, Na-Hyun Shin, Yang Jae Kang, Chang-Kug Kim, Joong Hyoun Chin
    Frontiers in Genetics.2020;[Epub]     CrossRef
  • Identification of Yield and Yield-Related Quantitative Trait Loci for the Field High Temperature Condition in Backcross Populations of Rice (Oryza sativaL.)
    Jeonghwan Seo, So-Myeong Lee, Jae-Hyuk Han, Na-Hyun Shin, Hee-Jong Koh, Joong Hyoun Chin
    Plant Breeding and Biotechnology.2019; 7(4): 415.     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.

Citations

Citations to this article as recorded by  
  • 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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Characterization of Selected Rice Varieties Adapted in Africa
Abebe Megersa, Jeonghwan Seo, Joong Hyoun Chin, Backki Kim, Hee-Jong Koh
Plant Breed. Biotech. 2016;4(3):297-305.   Published online August 31, 2016
DOI: https://doi.org/10.9787/PBB.2016.4.3.297

Rice varieties developed through the inter-specific crosses between Asian (Oryza sativa L.) and African cultivated rice (O. glaberrima Steud.) have contributed to yield enhancement of African rice. However, the genetic diversity and genetic structure of the African varieties have rarely been reported. In this study, we characterized 40 rice varieties including rice released in Africa based on eleven yield related agronomic traits and 96 single nucleotide polymorphism (SNP) markers. They were grouped into three categories based on the cluster analysis using agronomic traits. Meanwhile, they were grouped into two distinct clusters, indica- and japonica-type, based on the genetic distance using 96 SNP markers. CG14, which belongs to O. glaberrima, was found to be an admixture type between indica and japonica. The number of secondary branches (SBs) was the only agronomic trait which was significantly different between two groups. The results of this study provide basic agronomic and genomic information of cultivated and tested rice varieties for Africa, that would be helpful for further rice varietal improvement in Africa.

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    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
  • 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
  • Development and application of indica–japonica SNP assays using the Fluidigm platform for rice genetic analysis and molecular breeding
    Jeonghwan Seo, Gileung Lee, Zhuo Jin, Backki Kim, Joong Hyoun Chin, Hee-Jong Koh
    Molecular Breeding.2020;[Epub]     CrossRef
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Identification of Quantitative Trait Loci for Agronomic Traits in Two Rice Populations Derived from a Cross with a Wide Compatibility Line
Jeonghwan Seo, Reflinur, Sunghan Kim, Mi-Ok Woo, Hee-Jong Koh
Plant Breed. Biotech. 2014;2(3):231-246.   Published online September 30, 2014
DOI: https://doi.org/10.9787/PBB.2014.2.3.231

Hybrid sterility is the major obstacle that can act as a barrier to genetic recombination and limits favorable gene transfer during inter-subspecific crosses in rice. However, hybrid sterility can be overcome by utilization of wide-compatible varieties (WCV). In the present study, two F2 populations generated from crosses between a wide-compatibility line (HWC-line) and two Korean varieties, Dasan and Hwacheong were evaluated for eight agronomic traits. A total of 157 molecular markers consisted of 116 STS, 40 SSR and 1 FNP were used to create genetic linkage maps spanning all 12 chromosomes. Twenty-one main-effect QTLs (M-QTLs) were identified in HWC-line/Dasan (HD) population. These loci are populated with two QTLs for culm length, one for spikelet per panicle, one for spikelet fertility, four for grain length, five for grain width, five for grain shape, and three for 100 grain-weight. In HWC-line/Hwacheong (HH) population, 17 QTLs were detected including two QTLs for culm length, one for panicle length, one for spikelet fertility, five for grain length, three for grain width, three for grain shape, and two for 100-grain weight. Of the total 34 QTLs found in the two F2 populations, 9 QTLs associated with culm length, grain length, grain width and grain shape were newly identified in this study. These QTLs will be useful for further understanding the genetic basis of agronomic traits and for developing markers for selection in rice breeding. In addition, HWC-line could be used as a bridge for inter-subspecies crosses overcoming hybrid sterility.

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  • QTL Analysis for Yield and Grain-Related Traits Using the Recombinant Inbred Lines Derived from a Cross between ‘Boramchan’ and ‘Pecos’
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    Korean Journal of Breeding Science.2025; 57(2): 131.     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
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