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Arabis erecta (Brassicaceae), a new species from Republic of Korea
KIM, YOON-YOUNG,JANG, CHANGGEE,JI, SEONG-JIN,OH, SANG HEON,NA, NU-REE,LEEM, HYOSUN,KIM, TAE-WEON,LEE, WOO-RAK,LIM, YONG PYO Magnolia Press 2016 Phytotaxa Vol.268 No.4
<P>A new species of Arabis L. (Brassicaceae), A. erecta Y.Y. Kim & C.G. Jang, was discovered in Gyeongsangbuk-do Province, Republic of Korea and is described and illustrated here. The species is similar to A. stelleri DC. and A. takesimana Nakai in its general vegetative and floral morphology. However, the new species is distinguished by its glabrous leaves surface, not inflated receptacle, and fruiting pedicels and siliques appressed to the rachis. In addition, the diagnostic characters between related species, an identification key, and a distribution map are provided.</P>
Kim, Minsuk,Sang Yi, Jeong,Kim, Joonwon,Kim, Ji-Nu,Kim, Min Woo,Kim, Byung-Gee Wiley 2014 Biotechnology journal Vol.9 No.9
<P>Streptomycetes are industrially and pharmaceutically important bacteria that produce a variety of secondary metabolites including antibiotics. Streptomycetes have a complex metabolic network responsible for the production of secondary metabolites and the utilization of organic residues present in soil. In this study, we reconstructed a high-quality metabolic model for Streptomyces coelicolor A3(2), designated iMK1208, in order to understand and engineer the metabolism of this model species. In comparison to iIB711, the previous metabolic model for S. coelicolor, the predictive power of iMK1208 was enhanced by the recent insights that enabled the incorporation of an updated biomass equation, stoichiometric matrix, and energetic parameters. iMK1208 was validated by comparing predictions with the experimental data for growth capability in various growth media. Furthermore, we applied a strain-design algorithm, flux scanning based on enforced objective flux (FSEOF), to iMK1208 for actinorhodin overproduction. FSEOF results identified not only previously known gene overexpression targets such as actII-ORF4 and acetyl-CoA carboxylase, but also novel targets such as branched-chain α-keto acid dehydrogenase (BCDH). We constructed and evaluated the BCDH overexpression mutant, which showed a 52-fold increase in actinorhodin production, validating the prediction power of iMK1208. Hence iMK1208 was shown to be a useful and valuable framework for studying the biotechnologically important Streptomyces species using the principles of systems biology and metabolic engineering.</P>
Kim, Min Woo,Lee, Bo-Rahm,You, SungYong,Kim, Eun-Jung,Kim, Ji-Nu,Song, Eunjung,Yang, Yung-Hun,Hwang, Daehee,Kim, Byung-Gee Springer-Verlag 2018 Applied microbiology and biotechnology Vol.102 No.7
<P>Most secondary metabolism in Actinobacteria is controlled by multi-layered, gene-regulatory networks. These regulatory mechanisms are not easily identified due to their complexity. As a result, when a strong transcriptional regulator (TR) governs activation of biosynthetic pathways of target antibiotics such as actinorhodin (ACT), additional enhancement of the biosynthesis is difficult in combination with other TRs. To find out any 'synergistic transcriptional regulators (sTRs)' that show an additive effect on the major, often strong, transcriptional regulator (mTR), here, we performed a clustering analysis using the transcriptome datasets of an mTR deletion mutant and wild-type strain. In the case of ACT biosynthesis in Streptomyces coelicolor, PhoU (SCO4228) and RsfA (SCO4677) were selected through the clustering analysis, using AfsS (SCO4425) as a model mTR, and experimentally validated their roles as sTRs. Furthermore, through analysis of synergistic effects, we were able to suggest a novel regulation mechanism and formulate a strategy to maximize the synergistic effect. In the case of the double TR mutant strain (Delta rsfA pIBR25::afsS), it was confirmed that the increase of cell mass was the major cause of the synergistic effect. Therefore, the strategy to increase the cell mass of double mutant was further attempted by optimizing the expression of efflux pump, which resulted in 2-fold increase in the cell mass and 24-fold increase in the production of ACT. This result is the highest ACT yield from S. coelicolor ever reported.</P>
Study for Residue Analysis of Pinoxaden in Agricultural Commodities
Kim, Ji Young,Yoon, Eun Kyung,Kim, Jong Soo,Seong, Nu Ri,Yun, Sang Soon,Jung, Yong Hyun,Oh, Jae Ho,Kim, Hyochin The Korean Society of Environmental Agriculture 2019 한국환경농학회지 Vol.38 No.4
BACKGROUND: Pinoxaden is the phenylpyrazoline herbicide developed by Syngenta Crop Protection, Inc. and marketed on 2006. The maximum residue levels for wheat and barley were set by import tolerance. Thus, Ministry of Food and Drug Safety (MFDS) official analytical method determining Pinoxaden residue was necessary in various food matrixes. Satisfaction of international guideline of CODEX (Codex Alimentarius Commission CAC/GL 40) and National Institute of Food and Drug Safety Evaluation-MFDS (2017) are additional pre-requirements for analytical method. In this study, liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was investigated to analyze residue of Pinoxaden (M4), which is defined as pesticide residue in Korea, in foods. METHODS AND RESULTS: Pinoxaden (M4) was extracted followed by acid digestion (2hr reflux with 1N HCl) and pH adjusting (pH 4-5 with 3% ammonium solution). To remove oil, additional clean-up step with hexane saturated with acetonitrile was required to high oil contained sample before purification. HLB cartridge and nylon syringe filter were used for purification. Then, samples were analyzed by LC-MS/MS using reserve phase column C<sub>18</sub>. Five agricultural group representative commodities (mandarin, potato, soybean, hulled rice, and red pepper) were used to verify the method in this study. The liner matrix-matched calibration curves were confirmed with coefficient of determination (r<sup>2</sup>) > 0.99 at calibration range 0.002-0.2 mg/kg. The limits of detection and quantitation were 0.004 and 0.01 mg/kg, respectively, which were suitable to apply Positive List System (PLS). Mean average accuracies of pinoxaden (M4) were shown to be 74.0-105.7%. The precision of pinoxaden and its metabolites were also shown less than 14.5% for all five samples. CONCLUSION: The method investigated in this study was suitable to CODEX (CAC/GL 40) and National Institute of Food and Drug Safety Evaluation-MFDS (2017) guideline for residue analysis. Thus, this method can be useful for determining the residue in various food matrixes in routine analysis.
Study for Residue Analysis of Pinoxaden in Agricultural Commodities
( Ji Young Kim ),( Eun Kyung Yoon ),( Jong Soo Kim ),( Nu Ri Seong ),( Sang Soon Yun ),( Yong Hyun Jung ),( Jae Ho Oh ),( Hyochin Kim ) 한국환경농학회 2019 한국환경농학회지 Vol.38 No.4
BACKGROUND: Pinoxaden is the phenylpyrazoline herbicide developed by Syngenta Crop Protection, Inc. and marketed on 2006. The maximum residue levels for wheat and barley were set by import tolerance. Thus, Ministry of Food and Drug Safety (MFDS) official analytical method determining Pinoxaden residue was necessary in various food matrixes. Satisfaction of international guideline of CODEX (Codex Alimentarius Commission CAC/GL 40) and National Institute of Food and Drug Safety Evaluation- MFDS (2017) are additional pre-requirements for analytical method. In this study, liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was investigated to analyze residue of Pinoxaden (M4), which is defined as pesticide residue in Korea, in foods. METHODS AND RESULTS: Pinoxaden (M4) was extracted followed by acid digestion (2hr reflux with 1N HCl) and pH adjusting (pH 4-5 with 3% ammonium solution). To remove oil, additional clean-up step with hexane saturated with acetonitrile was required to high oil contained sample before purification. HLB cartridge and nylon syringe filter were used for purification. Then, samples were analyzed by LC-MS/MS using reserve phase column C18. Five agricultural group representative commodities (mandarin, potato, soybean, hulled rice, and red pepper) were used to verify the method in this study. The liner matrix-matched calibration curves were confirmed with coefficient of determination (r<sup>2</sup>) > 0.99 at calibration range 0.002-0.2 mg/kg. The limits of detection and quantitation were 0.004 and 0.01 mg/kg, respectively, which were suitable to apply Positive List System (PLS). Mean average accuracies of pinoxaden (M4) were shown to be 74.0-105.7%. The precision of pinoxaden and its metabolites were also shown less than 14.5% for all five samples. CONCLUSION: The method investigated in this study was suitable to CODEX (CAC/GL 40) and National Institute of Food and Drug Safety Evaluation-MFDS (2017) guideline for residue analysis. Thus, this method can be useful for determining the residue in various food matrixes in routine analysis.