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Duk-Ju Hwang 4 Articles
Evaluation of Bakanae Disease Progression Caused by Fusarium fujikuroi in Oryza sativa L.
In Sun Hwang , Woo-Ri Kang , Duk-Ju Hwang , Shin-Chul Bae , Sung-Hwan Yun , Il-Pyung Ahn
J. Microbiol. 2013;51(6):858-865.   Published online December 19, 2013
DOI: https://doi.org/10.1007/s12275-013-3472-3
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AbstractAbstract PDF
Bakanae disease caused by Fusarium fujikuroi is an important fungal disease in rice. Among the seven strains isolated from symptomatic rice grains in this study, one strain, FfB14, triggered severe root growth inhibition and decay in the crown and root of rice seedlings. The remaining six strains caused typical Bakanae symptoms such as etiolation and abnormal succulent rice growth. To reveal the relationship between mycelial growth in the infected tissues and Bakanae disease progression, we have established a reliable quantification
method
using real time PCR that employs a primer pair and dual-labeled probe specific to a unigene encoding F. fujikuroi PNG1 (FfPNG1), which is located upstream of the fumonisin biosynthesis gene cluster. Plotting the crossing point (CP) values from the infected tissue DNAs on a standard curve revealed the active fungal growth of FfB14 in the root and crown of rice seedlings, while the growth rate of FfB20 in rice was more than 4 times lower than FfB14. Massive infective mycelial growth of FfB14 was evident in rice stems and crown; however, FfB20 did not exhibit vigorous growth. Our quantitative evaluation system is applicable for the identification of fungal virulence factors other than gibberellin.

Citations

Citations to this article as recorded by  
  • Optimisation of protocol for large-scale screening of rice populations against bakanae disease under controlled conditions
    Istiaq Ahmed, Gareth J. Norton, Stephen Woodward
    Physiological and Molecular Plant Pathology.2025; 139: 102742.     CrossRef
  • Development of a Recombinase Polymerase Amplification and CRISPR-Cas12a-Based Assay for Rapid Detection of Rice Bakanae Disease Caused by Fusarium fujikuroi
    Hongyu Li, Yue Qiu, Anpeng Zhang, Yingxiong Hu, Can Cheng, Jihua Zhou, Fuan Niu, Bin Sun, Yuting Dai, Kaizhen Xie, Zhizun Feng, Xiaorui Ding, Bilian Hu, Xueqing Zhang, Liming Cao, Huangwei Chu
    Agronomy.2025; 15(3): 577.     CrossRef
  • Incorporation of the histone variant H2A.Z counteracts gene silencing mediated by H3K27 trimethylation in Fusarium fujikuroi
    Anna K. Atanasoff-Kardjalieff, Harald Berger, Katharina Steinert, Slavica Janevska, Nadia Ponts, Hans-Ulrich Humpf, Svetlana Kalinina, Lena Studt-Reinhold
    Epigenetics & Chromatin.2024;[Epub]     CrossRef
  • Map-Based Cloning and Characterization of a Major QTL Gene, FfR1, Which Confers Resistance to Rice Bakanae Disease
    Hyeonso Ji, Kyeong-Seong Cheon, Yunji Shin, Chaewon Lee, Seungmin Son, Hyoja Oh, Dong-Kyung Yoon, Seoyeon Lee, Mihyun Cho, Soojin Jun, Gang-Seob Lee, Jeongho Baek, Song Lim Kim, Il-Pyung Ahn, Jae-Hyeon Oh, Hye-Jin Yoon, Young-Soon Cha, Kyung-Hwan Kim
    International Journal of Molecular Sciences.2024; 25(11): 6214.     CrossRef
  • Bakanae Disease Resistance in Rice: Current Status and Future Considerations
    Liwei Zhan, Ling Chen, Yuxuan Hou, Yuxiang Zeng, Zhijuan Ji
    Agronomy.2024; 14(7): 1507.     CrossRef
  • Rapid detection of Fusarium fujikuroi in rice seeds and soaking water samples based on recombinase polymerase amplification‐lateral flow dipstick
    Fuyu Zhang, Chenyi Jin, Renze Hu, Zhaomeng Li, Shuodan Hu, Yu Zhang, Chuanqing Zhang
    Plant Pathology.2024; 73(3): 590.     CrossRef
  • Field screening for blast resistance gene donors, among rice mutant lines of Mira-1
    Aryanti, Nana Supriatna, Rika Heryani, Ishak, R.C. Joshi, N. Huda, O. Kozan
    BIO Web of Conferences.2024; 99: 04001.     CrossRef
  • Current Studies on Bakanae Disease in Rice: Host Range, Molecular Identification, and Disease Management
    Yu Na An, Chandrasekaran Murugesan, Hyowon Choi, Ki Deok Kim, Se-Chul Chun
    Mycobiology.2023; 51(4): 195.     CrossRef
  • Fungal epiphytes differentially regulate salt tolerance of invasive Ipomoea cairica according to salt stress levels
    Hua Xu, Minjie Zhu, Xuhui Chen
    Environmental Science and Pollution Research.2023; 31(3): 4797.     CrossRef
  • Differential biochemical response of basmati and non-basmati rice seeds upon bakanae (Fusarium fujikuroi) infection
    Rohit Chhabra, Nirmaljit Kaur, Anju Bala
    Vegetos.2022; 36(2): 516.     CrossRef
  • Genome-Wide Identification and Functional Analysis of the bZIP Transcription Factor Family in Rice Bakanae Disease Pathogen, Fusarium fujikuroi
    Kehan Zhao, Lianmeng Liu, Shiwen Huang
    International Journal of Molecular Sciences.2022; 23(12): 6658.     CrossRef
  • Epiphytic fungi induced pathogen resistance of invasive plant Ipomoea cairica against Colletotrichum gloeosporioides
    Hua Xu, Minjie Zhu, Shaoshan Li, Weibin Ruan, Can Xie
    PeerJ.2020; 8: e8889.     CrossRef
  • Understanding Bakanae: a major threat and an emerging disease of Basmati rice
    Anita Puyam, P. P. S. Pannu, Jaspal Kaur, Shikha Sethi, Kiranjot Kaur
    Indian Phytopathology.2019; 72(4): 599.     CrossRef
  • Physiological and biochemical alterations imposed by Fusarium fujikuroi infection in aromatic and non-aromatic rice cultivars
    Rohit Chhabra, Nirmaljit Kaur, Anju Bala
    Plant Physiology Reports.2019; 24(4): 563.     CrossRef
  • Identification of Genes Related to Fungicide Resistance inFusarium fujikuroi
    Younghae Choi, Boknam Jung, Taiying Li, Jungkwan Lee
    Mycobiology.2017; 45(2): 101.     CrossRef
  • Development and Validation of a TaqMan Real-Time PCR Assay for the Specific Detection and Quantification ofFusarium fujikuroiin Rice Plants and Seeds
    Greice Amaral Carneiro, Slavica Matić, Giuseppe Ortu, Angelo Garibaldi, Davide Spadaro, Maria Lodovica Gullino
    Phytopathology®.2017; 107(7): 885.     CrossRef
  • Comparative genomics of geographically distant Fusarium fujikuroi isolates revealed two distinct pathotypes correlating with secondary metabolite profiles
    Eva-Maria Niehaus, Hee-Kyoung Kim, Martin Münsterkötter, Slavica Janevska, Birgit Arndt, Svetlana A. Kalinina, Petra M. Houterman, Il-Pyung Ahn, Ilaria Alberti, Stefano Tonti, Da-Woon Kim, Christian M. K. Sieber, Hans-Ulrich Humpf, Sung-Hwan Yun, Ulrich G
    PLOS Pathogens.2017; 13(10): e1006670.     CrossRef
  • Detecting Bakanae disease in rice seedlings by machine vision
    Chia-Lin Chung, Kai-Jyun Huang, Szu-Yu Chen, Ming-Hsing Lai, Yu-Chia Chen, Yan-Fu Kuo
    Computers and Electronics in Agriculture.2016; 121: 404.     CrossRef
  • Multi-Homologous Recombination-Based Gene Manipulation in the Rice Pathogen Fusarium fujikuroi
    In Sun Hwang, Il-Pyung Ahn
    The Plant Pathology Journal.2016; 32(3): 173.     CrossRef
  • The biosynthesis of gibberellic acids by the transformants of orchid-associated Fusarium oxysporum
    Elena A. Tsavkelova
    Mycological Progress.2016;[Epub]     CrossRef
  • The Genetic Structure, Virulence, and Fungicide Sensitivity of Fusarium fujikuroi in Taiwan
    Yu-Chia Chen, Ming-Hsin Lai, Chia-Yi Wu, Tsung-Chun Lin, An-Hsiu Cheng, Chin-Cheng Yang, Hsin-Yuh Wu, Sheng-Chi Chu, Chien-Chih Kuo, Yea-Fang Wu, Guo-Cih Lin, Min-Nan Tseng, Yi-Chen Tsai, Chun-Chi Lin, Chi-Yu Chen, Jenn-Wen Huang, Heng-An Lin, Chia-Lin Ch
    Phytopathology®.2016; 106(6): 624.     CrossRef
  • Comparison of the Antimicrobial Properties of Chitosan Oligosaccharides (COS) and EDTA against Fusarium fujikuroi Causing Rice Bakanae Disease
    Seung Won Kim, Jae Kweon Park, Cho Heun Lee, Bum-Soo Hahn, Ja Choon Koo
    Current Microbiology.2016; 72(4): 496.     CrossRef
  • Jasmonic Acid, Abscisic Acid, and Salicylic Acid Are Involved in the Phytoalexin Responses of Rice to Fusarium fujikuroi, a High Gibberellin Producer Pathogen
    Ilenia Siciliano, Greice Amaral Carneiro, Davide Spadaro, Angelo Garibaldi, Maria Lodovica Gullino
    Journal of Agricultural and Food Chemistry.2015; 63(37): 8134.     CrossRef
  • Mapping of qBK1, a major QTL for bakanae disease resistance in rice
    Yeon-Jae Hur, Sais Beul Lee, Tae Heon Kim, Tackmin Kwon, Jong-Hee Lee, Dong-Jin Shin, Soo-Kwon Park, Un-Ha Hwang, Jun Hyeon Cho, Young-Nam Yoon, Un-Sang Yeo, You-Chun Song, Do-Yeon Kwak, Min-Hee Nam, Dong-Soo Park
    Molecular Breeding.2015;[Epub]     CrossRef
Evaluation of Fusarium Head Blight in Barley Infected by Fusarium graminearum
Woo-Ri Kang , Duk-Ju Hwang , Shin-Chul Bae , Theresa Lee , Soonok Kim , Il-Pyung Ahn
J. Microbiol. 2013;51(4):540-543.   Published online August 30, 2013
DOI: https://doi.org/10.1007/s12275-013-3338-8
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  • 5 Crossref
AbstractAbstract PDF
Fusarium head blight, which is primarily caused by Fusarium graminearum, is a devastating disease in the barley field. A real-time PCR protocol was developed to evaluate the growth of this pathogen in the host plant tissues. All four strains harbored the gene encoding ATP-BINDING CASSETTE TRANSPORTER (FgABC; FGSG_00541) as a single copy within their genomes. Our Southern blot result was identical with the genomic data for F. graminearum strain PH-1. Based on the crossing point (CP) values obtained in our TaqMan real-time PCR analysis, two standard curves describing the relationship among the CP value, FgABC copy number, and amount of fungal DNA were constructed. Chronological enumeration of fungal growth was coincided with the symptom development.

Citations

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  • Combination effect of wheat cultivars and antagonistic activity of Trichoderma spp. in Fusarium head blight biocontrol
    Houria Boulahouat, Sihem Touati-Hattab, Leila Mekliche, Houda Boureghda
    Biocontrol Science and Technology.2026; 36(2): 219.     CrossRef
  • Isolation of lipopeptide antibiotics from Bacillus siamensis: a potential biocontrol agent for Fusarium graminearum
    Yanhong Huang, Xingrong Zhang, Hui Xu, Fan Zhang, Xuelin Zhang, Yongheng Yan, Lianzhi He, Jianjun Liu
    Canadian Journal of Microbiology.2022; 68(6): 403.     CrossRef
  • Sensitivity and Resistance Risk Assessment ofFusarium graminearumfrom Wheat to Prothioconazole
    Jinliang Liu, Jia Jiang, Xuhao Guo, Le Qian, Jianqiang Xu, Zhiping Che, Genqiang Chen, Shengming Liu
    Plant Disease.2022; 106(8): 2097.     CrossRef
  • Fitness of three chemotypes of Fusarium graminearum species complex in major winter wheat-producing areas of China
    Yang-yang Liu, Han-yan Sun, Wei Li, Yun-lei Xia, Yuan-yu Deng, Ai-xiang Zhang, Huai-gu Chen, Yin-Won Lee
    PLOS ONE.2017; 12(3): e0174040.     CrossRef
  • Characterization of plant growth-promoting traits of Penicillium species against the effects of high soil salinity and root disease
    Ramalingam Radhakrishnan, Sang-Mo Kang, In-Youl Baek, In-Jung Lee
    Journal of Plant Interactions.2014; 9(1): 754.     CrossRef
Quantification of Rice Sheath Blight Progression Caused by Rhizoctonia solani
Mukhamad Su’udi , Jong-Mi Park , Woo-Ri Kang , Duk-Ju Hwang , Soonok Kim , Il-Pyung Ahn
J. Microbiol. 2013;51(3):380-388.   Published online June 28, 2013
DOI: https://doi.org/10.1007/s12275-013-3274-7
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AbstractAbstract PDF
Rhizoctonia solani has a wide host range, including almost all cultivated crops and its subgroup anastomosis group (AG)-1 IA causes sheath blight in rice. An accurate measurement of pathogen’s biomass is a convincing tool for enumeration of this disease. Mycological characteristics and molecular diagnosis simultaneously supported that all six strains in this study were R. solani AG-1 IA. Heterokaryons between strains Rs40104, Rs40105, and Rs45811 were stable and viable, whereas Rs40103 and Rs40106 did not form viable fused cells, except for the combination of Rs40106 and Rs40104. A primer pair was highly specific to RsAROM gene of R. solani strains and the amplified fragment exists as double copies within fungal genome. The relationship between crossing point (CP) values and the amount of fungal DNA was reliable (R2>0.99). Based on these results, we determined R. solani’s proliferation within infected stems through real time PCR using a primer pair and a Taqman probe specific to the RsAROM gene. The amount of fungal DNA within the 250 ng of tissue DNA from rice cv. Dongjin infected with Rs40104, Rs40105, and Rs45811 were 7.436, 5.830, and 5.085 ng, respectively. In contrast, the fungal DNAs within the stems inoculated with Rs40103 and Rs40106 were 0.091 and 0.842 ng. The sheath blight symptom progression approximately coincided with the amount of fungal DNA within the symptoms. In summary, our quantitative evaluation method provided reliable and objective results reflecting the amount of fungal biomass within the infected tissues and would be useful for evaluation of resistance germplasm or fungicides and estimation of inoculum potential.

Citations

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  • Development of a multipurpose diagnostic marker using PCR, real-time PCR, and LAMP assays for rapid detection of Rhizoctonia solani in rice plants and soil
    Asmita Singh, Prashantha S. Tadasanahaller, Sapna Sharma, Gopala Krishnan Subbaiyan, Rashmi Aggarwal, V. Shanmugam, Mahender S. Saharan, Bishnu Maya Bashyal
    Frontiers in Plant Science.2026;[Epub]     CrossRef
  • Natural Variation of a Specific NLR Gene RGA4L Confers Strong Chilling Tolerance in Rice
    Ping Gan, Yongliang Wang, Hanxing Wei, Siyuan Lu, Jinliang Sun, Xianglan Luo, Xiangbing Meng, Peilong Jia, Weijian Cen, Rongbai Li, Hong Yu, Jiayang Li, Jijing Luo
    Plant Biotechnology Journal.2025; 23(11): 5161.     CrossRef
  • Suppression of Rice Osa-miR444.2 Improves the Resistance to Sheath Blight in Rice Mediating through the Phytohormone Pathway
    Tao Feng, Zhao-Yang Zhang, Peng Gao, Zhi-Ming Feng, Shi-Min Zuo, Shou-Qiang Ouyang
    International Journal of Molecular Sciences.2023; 24(4): 3653.     CrossRef
  • Molecular Detection Assays for Rapid Field-Detection of Rice Sheath Blight
    Ying-Hong Lin, Shih-Mao Shen, Chen-Jie Wen, Yi-Jia Lin, Tsai-De Chang, Sheng-Chi Chu
    Frontiers in Plant Science.2021;[Epub]     CrossRef
  • Functional characterization of tau class glutathione-S-transferase in rice to provide tolerance against sheath blight disease
    Madhu Tiwari, Suchi Srivastava, Poonam C. Singh, Arun Kumar Mishra, Debasis Chakrabarty
    3 Biotech.2020;[Epub]     CrossRef
  • Induction of defence response in Oryza sativa L. against Rhizoctonia solani (Kuhn) by chitosan nanoparticles
    K. Divya, Meenu Thampi, Smitha Vijayan, Sherin Varghese, M.S. Jisha
    Microbial Pathogenesis.2020; 149: 104525.     CrossRef
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    Scientific Reports.2017;[Epub]     CrossRef
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    P. PATIDAR, G.K. AWADHIYA, K.P. PATIL
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    Singh Pooja, Subramanian Babu
    Plant Protection Science.2017; 53(4): 208.     CrossRef
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  • Evaluation of bakanae disease progression caused by Fusarium fujikuroi in Oryza sativa L.
    In Sun Hwang, Woo-Ri Kang, Duk-Ju Hwang, Shin-Chul Bae, Sung-Hwan Yun, Il-Pyung Ahn
    Journal of Microbiology.2013; 51(6): 858.     CrossRef
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    Gyula Oros, Zoltán Naár, Donát Magyar
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Quantification of Rice Brown Leaf Spot through Taqman Real-Time PCR Specific to the Unigene Encoding Cochliobolus miyabeanus SCYTALONE DEHYDRATASE1 Involved in Fungal Melanin Biosynthesis
Mukhamad Su’udi , Jong-Mi Park , Woo-Ri Kang , Sang-Ryeol Park , Duk-Ju Hwang , Il-Pyung Ahn
J. Microbiol. 2012;50(6):947-954.   Published online December 30, 2012
DOI: https://doi.org/10.1007/s12275-012-2538-y
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AbstractAbstract PDF
Rice brown leaf spot is a major disease in the rice paddy field. The causal agent Cochliobolus miyabeanus is an ascomycete fungus and a representative necrotrophic pathogen in the investigation of rice-microbe interactions. The aims of this research were to identify a quantitative evaluation method to determine the amount of C. miyabeanus proliferation in planta and determine the method’s sensitivity. Real-time polymerase chain reaction (PCR) was employed in combination with the primer pair and Taqman probe specific to CmSCD1, a C. miyabeanus unigene encoding SCYTALONE DEHYDRATASE, which is involved in fungal melanin biosynthesis. Comparative analysis of the nucleotide sequences of CmSCD1 from Korean strains with those from the Japanese and Taiwanese strains revealed some sequence differences. Based on the crossing point (CP) values from Taqman realtime PCR containing a series of increasing concentrations of cloned amplicon or fungal genomic DNA, linear regressions with a high level of reliability (R2>0.997) were constructed. This system was able to estimate fungal genomic DNA at the picogram level. The reliability of this equation was further confirmed using DNA samples from both resistant and susceptible cultivars infected with C. miyabeanus. In summary, our quantitative system is a powerful alternative in brown leaf spot forecasting and in the consistent evaluation of disease progression.

Citations

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  • Quantification of Alternaria brassicicola infection in the Arabidopsis thaliana and Brassica rapa subsp. pekinensis
    Mukhamad Su’udi, Jong-Mi Park, Sang-Ryeol Park, Duk-Ju Hwang, Shin-Chul Bae, Soonok Kim, Il-Pyung Ahn
    Microbiology.2013; 159(Pt_9): 1946.     CrossRef
  • Evaluation of bakanae disease progression caused by Fusarium fujikuroi in Oryza sativa L.
    In Sun Hwang, Woo-Ri Kang, Duk-Ju Hwang, Shin-Chul Bae, Sung-Hwan Yun, Il-Pyung Ahn
    Journal of Microbiology.2013; 51(6): 858.     CrossRef

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