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"Backki Kim"

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"Backki Kim"

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Genetic Analysis of Gene Related Length of Leaf Hair in Korean Weedy Rice (Oryza sativa L.)
Sang-Cheol Kim, Seong-Gyu Jang, Backki Kim, Da-Eun Im, Yuting Zeng, Junghyun Gong, Soon-Wook Kwon
Plant Breed. Biotech. 2023;11(4):278-281.   Published online December 1, 2023
DOI: https://doi.org/10.9787/PBB.2023.11.4.278

Hairs on the leaf are an important agronomic characteristic for rice growth and farming. The segregation ratio of pubescence in the F2 population showed that the pubescence on the leaf is controlled by a single dominant gene. Fine mapping for the gene was carried out by producing an Indel (insertion-deletion) primer based on BSA-Seq data. Results of the analysis revealed within the candidate site the presence of HL6, a published pubescence gene. By haplotype analysis of HL6 in the core-collection data, SNPs were found in HL6’s exons between the plants. These sequence variations can be useful for marker-assisted selection.

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Research Articles
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 Breed. Biotech. 2023;11(4):271-277.   Published online December 1, 2023
DOI: https://doi.org/10.9787/PBB.2023.11.4.271

Rice domestication has led to cultivated rice with no or short awns. Discovery of novel genes associated to awn length is of paramount importance for understanding the molecular mechanisms for the transformation of wild rice long awns to awnless cultivated rice. In this study, we employed Next-Generation Sequencing based QTL-seq approach to identify genomic regions associated with awn length using mapping population derived from a cross between awnless Tun Sart and awned Sobaekmangsudo. QTL-seq analysis identified two awn length QTLs viz. qAwn-4 (12.8-20.3 Mb) and qAwn-8 (22.3-27.2 Mb) on chromosome 4 and 8, respectively. Based on the sequence comparison between the two parents, Os04g0350700 (bHLH transcription factor) was postulated to be the candidate of Awn-4 gene. Further discovery of the novel genes in qAwn-8 interval will provide insights into the genetic architecture of awn length.

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Citations to this article as recorded by  
  • Genetic variability, heritability and genetic advance in Iranian local rice genotypes for yield, and some agronomic traits
    Mostafa Modarresi
    Reproduction and Breeding.2026; 6(1): 9.     CrossRef
  • QTLs associated with sex inheritance in Pistacia atlantica
    S. Kafkas
    Acta Horticulturae.2025; (1439): 425.     CrossRef
  • OsLRR-RLP2 Gene Regulates Immunity to Magnaporthe oryzae in Japonica Rice
    Hyo-Jeong Kim, Jeong Woo Jang, Thuy Pham, Van Tuyet, Ji-Hyun Kim, Chan Woo Park, Yun-Shil Gho, Eui-Jung Kim, Soon-Wook Kwon, Jong-Seong Jeon, Sun Tae Kim, Ki-Hong Jung, Yu-Jin Kim
    International Journal of Molecular Sciences.2024; 25(4): 2216.     CrossRef
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Genome-Wide Association Study of Submergence Tolerance in Rice (Oryza sativa L.)
Seong-Gyu Jang, Backki Kim, Yongchul Kim, Soon-Wook Kwon
Plant Breed. Biotech. 2023;11(1):25-33.   Published online March 1, 2023
DOI: https://doi.org/10.9787/PBB.2023.11.1.25

Submergence damage to rice was reported as one of the major problems in rainfed lowland areas where the water remains. This study assessed the submergence tolerance of core collection during the seedling stage of the rice using dry seeds. Also, genome-wide association study (GWAS) combined with principal component analysis (PCA) and kinship matrix analysis was performed to identify quantitative trait loci (QTL) for submergence tolerance. Through this GWAS analysis, nine lead SNPs were confirmed to be associated with submergence tolerance, and a linkage disequilibrium (LD) decay analysis identified the 230 kb exploratory range for the detection of QTLs and candidate genes. Nine QTL were detected, on chromosomes 3 (qSUB3), 4 (qSUB4), 6 (qSUB6-1 and qSUB6-2), 11 (qSUB11-1, qSUB11-2 and qSUB11-3), and 12 (qSUB12-1 and qSUB12-2). Two candidate genes (Os03g0679300 and Os11g0517800) in the two QTL regions associated with submergence tolerance were detected. The results of this study provide associated SNPs in candidate genes for submergence condition and strategies for developing submergence condition in breeding programs.

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  • Comprehensive Evaluation of Cold and Anaerobic Tolerance in Rice Oryza sativa L. and Screening of Multistress‐Resistant Germplasm
    Jianghui Yu, Shaoran Suo, Cheng Zheng, Ling Liu, Yunpeng Peng, Huang Zhou, Zhijun Wang, Huan Cao, Yongkang Liu, Xiwen Shi, Dingyang Yuan, Meijuan Duan
    Plant Breeding.2026; 145(3): 425.     CrossRef
  • Identification of Candidate Genes for Hypoxia Tolerance in Rice by Genome-Wide Association Analysis and Transcriptome Sequencing
    Chenghang Tang, Di Bai, Xingmeng Wang, Guohui Dou, Jiaqi Lv, Yaling Bao, Nansheng Wang, Linjun Yu, You Zhou, Jinguo Zhang, Dezhuang Meng, Jun Zhu, Yingyao Shi
    Rice.2025;[Epub]     CrossRef
  • Unraveling the genetic enigma of rice submergence tolerance: Shedding light on the role of ethylene response factor-encoding gene SUB1A-1
    Md Ibrahim Khalil, Md Mahmudul Hassan, Swadesh Chandra Samanta, Abul Kashem Chowdhury, Md Zahid Hassan, Nasar Uddin Ahmed, Uzzal Somaddar, Sharmistha Ghosal, Arif Hasan Khan Robin, Ujjal Kumar Nath, Mohammad Golam Mostofa, David J. Burritt, Chien Van Ha,
    Plant Physiology and Biochemistry.2024; 206: 108224.     CrossRef
  • Biocuration of a Transcription Factors Network Involved in Submergence Tolerance during Seed Germination and Coleoptile Elongation in Rice (Oryza sativa)
    Sushma Naithani, Bijayalaxmi Mohanty, Justin Elser, Peter D’Eustachio, Pankaj Jaiswal
    Plants.2023; 12(11): 2146.     CrossRef
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Characterization and Genetic Mapping of White-Spotted Leaf (wspl) Mutant in Rice
Backki Kim, Hyerim Lee, Zhuo Jin, Dongryung Lee, Hee-Jong Koh
Plant Breed. Biotech. 2019;7(4):340-349.   Published online December 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.4.340

Spotted leaf mutants which produce necrotic lesions spontaneously are important sources to study programmed cell death in plant defense responses. A novel white-spotted leaf (wspl) mutant was induced from Ilpum, Korean japonica rice cultivar by the treatment of ethyl methane sulfonate (EMS). The phenotype of wspl mutant differed from that of other spotted leaf mutants in that not only brown spots but also white lesion mimic spots were observed on the tip of the leaves from the vegetative stage. Strong nitro blue tetrazolium (NBT) and 3, 3ʹ-diaminobenzidine (DAB) staining were observed on the older leaf of wspl mutant in microscopic reactive oxygen species (ROS) assay, and the chlorophyll content of wspl mutant maintained longer than wild-type in the old leaves. Genetic analysis revealed that the wspl mutant trait was controlled by a single recessive gene and the locus of wspl gene was mapped on the long arm of chromosome 5 between the flanking markers S05100 and S05112 (4.1 Mb). Through the combination of the genetic mapping and SNP analysis, two candidate genes for white-spotted leaf were identified in the genic region. A novel phenotype of white-spotted leaf mutant has not yet been reported, thus further study of the wspl mutant will contribute to understanding of the molecular mechanisms involved in lesion mimic phenotype in rice.

Citations

Citations to this article as recorded by  
  • Next generation sequencing-based MutMap identifies genomic regions associated with strong culm in rice
    Pritam Kanti Guha, Anil A. Hake, Kalyani M. Barbadikar, Potupureddi Gopi, Nakul D. Magar, Vishalakshi Balija, C. G. Gokulan, Madhavilatha Kommana, Md Jamaloddin, Anjana Sharma, Raju Madanala, A. Chandra Sekhar, D. Vijaya Raghava Prasad, D. Vijaya Lakshmi,
    Journal of Crop Science and Biotechnology.2026;[Epub]     CrossRef
  • Rice Lesion Mimic Mutants (LMM): The Current Understanding of Genetic Mutations in the Failure of ROS Scavenging during Lesion Formation
    Sang Gu Kang, Kyung Eun Lee, Mahendra Singh, Pradeep Kumar, Mohammad Nurul Matin
    Plants.2021; 10(8): 1598.     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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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.

Citations

Citations to this article as recorded by  
  • 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
  • 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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