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Dive into the research topics where Hyojeong Kim is active.

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Featured researches published by Hyojeong Kim.


Nature Genetics | 2007

Genome-wide functional analysis of pathogenicity genes in the rice blast fungus.

Junhyun Jeon; Sook Young Park; Myoung Hwan Chi; Jaehyuk Choi; Jongsun Park; Hee Sool Rho; Soonok Kim; Jaeduk Goh; Sungyong Yoo; Jinhee Choi; Ju Young Park; Mihwa Yi; Seonyoung Yang; Min Jung Kwon; Seong Sook Han; Byeong Ryun Kim; Chang Hyun Khang; Bongsoo Park; Se Eun Lim; Kyongyong Jung; Sunghyung Kong; Maruthachalam Karunakaran; Hong Sik Oh; Hyojeong Kim; Seryun Kim; Jaejin Park; So Young Kang; Woo Bong Choi; Seogchan Kang; Yong-Hwan Lee

Rapid translation of genome sequences into meaningful biological information hinges on the integration of multiple experimental and informatics methods into a cohesive platform. Despite the explosion in the number of genome sequences available, such a platform does not exist for filamentous fungi. Here we present the development and application of a functional genomics and informatics platform for a model plant pathogenic fungus, Magnaporthe oryzae. In total, we produced 21,070 mutants through large-scale insertional mutagenesis using Agrobacterium tumefaciens–mediated transformation. We used a high-throughput phenotype screening pipeline to detect disruption of seven phenotypes encompassing the fungal life cycle and identified the mutated gene and the nature of mutation for each mutant. Comparative analysis of phenotypes and genotypes of the mutants uncovered 202 new pathogenicity loci. Our findings demonstrate the effectiveness of our platform and provide new insights on the molecular basis of fungal pathogenesis. Our approach promises comprehensive functional genomics in filamentous fungi and beyond.


Nucleic Acids Research | 2007

CFGP: a web-based, comparative fungal genomics platform

Jongsun Park; Bongsoo Park; Kyongyong Jung; Suwang Jang; Kwangyul Yu; Jae Young Choi; Sunghyung Kong; Jaejin Park; Seryun Kim; Hyojeong Kim; Soonok Kim; Jihyun F. Kim; Jaime E. Blair; Kwangwon Lee; Seogchan Kang; Yong-Hwan Lee

Since the completion of the Saccharomyces cerevisiae genome sequencing project in 1996, the genomes of over 80 fungal species have been sequenced or are currently being sequenced. Resulting data provide opportunities for studying and comparing fungal biology and evolution at the genome level. To support such studies, the Comparative Fungal Genomics Platform (CFGP; http://cfgp.snu.ac.kr), a web-based multifunctional informatics workbench, was developed. The CFGP comprises three layers, including the basal layer, middleware and the user interface. The data warehouse in the basal layer contains standardized genome sequences of 65 fungal species. The middleware processes queries via six analysis tools, including BLAST, ClustalW, InterProScan, SignalP 3.0, PSORT II and a newly developed tool named BLASTMatrix. The BLASTMatrix permits the identification and visualization of genes homologous to a query across multiple species. The Data-driven User Interface (DUI) of the CFGP was built on a new concept of pre-collecting data and post-executing analysis instead of the ‘fill-in-the-form-and-press-SUBMIT’ user interfaces utilized by most bioinformatics sites. A tool termed Favorite, which supports the management of encapsulated sequence data and provides a personalized data repository to users, is another novel feature in the DUI.


Molecular Microbiology | 2007

Genome‐wide analysis of T‐DNA integration into the chromosomes of Magnaporthe oryzae

Jaehyuk Choi; Jongsun Park; Junhyun Jeon; Myoung-Hwan Chi; Jaeduk Goh; Sungyong Yoo; Jaejin Park; Kyongyong Jung; Hyojeong Kim; Sook-Young Park; Hee-Sool Rho; Soonok Kim; Byeong Ryun Kim; Seong-Sook Han; Seogchan Kang; Yong-Hwan Lee

A grobacterium tumefaciens‐ mediated transformation (ATMT) has become a prevalent tool for functional genomics of fungi, but our understanding of T‐DNA integration into the fungal genome remains limited relative to that in plants. Using a model plant‐pathogenic fungus, Magnaporthe oryzae, here we report the most comprehensive analysis of T‐DNA integration events in fungi and the development of an informatics infrastructure, termed a T‐DNA analysis platform (TAP). We identified a total of 1110 T‐DNA‐tagged locations (TTLs) and processed the resulting data via TAP. Analysis of the TTLs showed that T‐DNA integration was biased among chromosomes and preferred the promoter region of genes. In addition, irregular patterns of T‐DNA integration, such as chromosomal rearrangement and readthrough of plasmid vectors, were also observed, showing that T‐DNA integration patterns into the fungal genome are as diverse as those of their plant counterparts. However, overall the observed junction structures between T‐DNA borders and flanking genomic DNA sequences revealed that T‐DNA integration into the fungal genome was more canonical than those observed in plants. Our results support the potential of ATMT as a tool for functional genomics of fungi and show that the TAP is an effective informatics platform for handling data from large‐scale insertional mutagenesis.


Journal of Plant Biology | 2004

Cloning and Expression Analysis of 2-on-2 Hemoglobin from Soybean

Hyoungseok Lee; Hyojeong Kim; Chung Sun An

Hemoglobins (Hbs) are heme proteins found in all five kingdoms of living organisms. In plants, three different classes of Hbs have been identified-nonsymbiotic Hbs from diverse species, symbiotic Hbs from nitrogen-fixing plants, and so-called 2-on-2 Hbs. Here, we report the cloning and expression analysis of the 2-on-2 Hb gene,GmGLB3, from soybean. TheGmGLB3 cDNA clone encodes a protein for 172 amino acid residues. Its deduced amino acid sequence shows the highest identity (74%) with 2-on-2 Hb fromMedicago truncatula. Multiple sequence alignment confirms the conserved and signature amino acid residues previously reported with plant 2-on-2 Hbs. Genomic Southern hybridization demonstrates thatGmGLB3 has two copies in the soybean genome. Based on our northern hybridization, theGmGLB3 gene is specifically expressed in root nodules, with levels increasing in the late stage during nodule development. Its transcript level is also increased under flooding and kinetin treatments in the roots, or under flooding and 2-iP treatments in the stems. However, no transcript is detected in the leaves regardless of treatment. Therefore, we propose that theGmGLB3 gene is specifically expressed in root nodules and that its expression in other plant organs is regulated by cytokinin and/or flooding.


Journal of Plant Biology | 2008

Detection of gene flow from GM to non-GM watermelon in a field trial

Chang-Gi Kim; Bumkyu Lee; Dae In Kim; Ji Eun Park; Hyojeong Kim; Kee Woong Park; Hoonbok Yi; Soon-Chun Jeong; Won Kee Yoon; Chee Hark Harn; Hwan Mook Kim

Gene flow from genetically modified (GM) crops to conventional non-GM crops is a serious concern for protection of conventional and organic farming. Gene flow from GM watermelon developed for rootstock use, containing cucumber green mottle mosaic virus (CGMMV)-coat protein (CP) gene, to a non-GM isogenic control variety “Clhalteok” and grafted watermelon “Keumcheon” was investigated in a small scale field trial as a pilot study. Hybrids between GM and non-GM watermelons were screened from 1304 “Chalteok” seeds and 856 “Keumcheon” seeds using the duplex PCR method targeting theCGMMV- CP gene as a marker. Hybrids were found in all pollen recipient plots. The gene flow frequencies were greater for “Chaiteok” than for “KeumcheonD; with 75% outcrossing in the “Chaiteok” plot at the closest distance (0.8 m) to the GM plot. A much larger scale field trial is necessary to identify the isolation distance between GM and non-GM watermelon, as the behaviors of insect pollinators needs to be clarified in Korea.


Journal of Plant Biology | 2009

Assessment of Gene Flow from Genetically Modified Anthracnose-Resistant Chili Pepper (Capsicum annuum L.) to a Conventional Crop

Chang-Gi Kim; Dae In Kim; Hyojeong Kim; Ji Eun Park; Bumkyu Lee; Kee Woong Park; Soon-Chun Jeong; Kyung Hwa Choi; Joo Hee An; Kang-Hyun Cho; Young Soon Kim; Hwan Mook Kim

We conducted a 2-year field assessment of the gene flow from genetically modified (GM) chili pepper (Capsicum annuum L.), containing the PepEST (pepper esterase) gene, to a non-GM control line “WT512” and two commercial hybrid cultivars, “Manidda” and “Cheongpung Myeongwol (CM).” After seeds were collected from the pollen-recipient non-GM plants, hybrids between them and the GM peppers were screened by a hygromycin assay. PCR with the targeting hpt gene was performed to confirm the presence of transgenes in hygromycin-resistant seedlings. Out of 7,071 “WT512” seeds and 6,854 “Manidda” seeds collected in 2006, eight and 12 hybrids, respectively, were detected. In 2007, 33 hybrids from 3,456 “WT512” seeds and 50 hybrids from 3,457 “CM” seeds were found. The highest frequency of gene flow, 6.19%, was observed in that 2007 trial. These results suggest that a limited isolation distance would be sufficient to prevent gene flow from GM to conventionally bred chili peppers.


Journal of Plant Biotechnology | 2018

Research status of the development of genetically modified papaya (Carica papaya L.) and its biosafety assessment

Hyojeong Kim; Yonggyu Lee; Chang-Gi Kim

Papaya (Carica papaya L.) is one of the crops widely planted in tropical and subtropical areas. The papaya fruit has low calories and are plentiful in vitamins A and C and in minerals. A major problem in papaya production is a plant disease caused by the papaya ringspot virus (PRSV). The first PRSV-resistant GM papaya expressing a PRSV coat protein gene was developed by USA scientists in 1992. The first commercial GM papaya cultivars derived from the event was approved by the US government in 1997. Development of transgenic papayas has been focused on vaccine production and limited agricultural traits, including insect and pathogen resistance, long shelf life, and aluminum and herbicide tolerance. Approximately 17 countries, including the USA and China, produced transgenic papayas and/or commercialized them, which provoked studies on biosafety assessment and development of GM-detection technologies. For the biosafety assessment of potential effects on human health, effects of long-term feeding to model animals have been studied in terms of toxicity and allergenicity. Studies on environmental safety assessment include influence on soil-microbial biodiversity and transfer to soil bacteria of GM selection markers. Many countries, such as Korea, the European Union, and Japan, that have strict regulations for GM crops have serious concerns about unintended introduction of GM cultivars and food commodities using unauthorized GM crops. Transgene- and/or GM event-specific molecular markers and technologies for genomics-based detection of unauthorized GM papaya have been developed and have resulted in the robust detection of GM papayas.


Food Control | 2009

Monitoring the occurrence of genetically modified soybean and maize in cultivated fields and along the transportation routes of the Incheon Port in South Korea

Bumkyu Lee; Chang-Gi Kim; Jiyoung Park; Kee Woong Park; Hyojeong Kim; Hoonbok Yi; Soon-Chun Jeong; Won Kee Yoon; Hwan Mook Kim


Plant Science | 2009

Gene flow from genetically modified to conventional chili pepper (Capsicum annuum L.)

Chang-Gi Kim; Kee Woong Park; Bumkyu Lee; Dae In Kim; Jiyoung Park; Hyojeong Kim; Ji Eun Park; Joo Hee An; Kang-Hyun Cho; Soon-Chun Jeong; Kyung Hwa Choi; Chee Hark Harn; Hwan Mook Kim


Genomics & Informatics | 2006

A Comparative Genome-Wide Analysis of GATA Transcription Factors in Fungi

Jongsun Park; Hyojeong Kim; Soonok Kim; Sunghyung Kong; Jaejin Park; Seryun Kim; Hyea young Han; Bongsoo Park; Kyongyong Jung; Yong-Hwan Lee

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Chang-Gi Kim

Korea Research Institute of Bioscience and Biotechnology

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Hwan Mook Kim

Korea Research Institute of Bioscience and Biotechnology

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Kee Woong Park

Chungnam National University

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Bumkyu Lee

Rural Development Administration

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Dae In Kim

Korea Research Institute of Bioscience and Biotechnology

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Jaejin Park

Seoul National University

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Jongsun Park

Chungnam National University

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Kyongyong Jung

Seoul National University

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Soon-Chun Jeong

Korea Research Institute of Bioscience and Biotechnology

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Soonok Kim

Seoul National University

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