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Codonopsis 속에서 더덕을 구분하는 엽록체 SSR Marker의 개발
Sangik Park,Jinsu Gil,Hee Chung,Yi Lee 한국약용작물학회 2017 한국약용작물학술대회 발표집 Vol.2017 No.05
Background : Codonopsis lanceolata is a flowering perennial climber. The roots are used as medicinal materials or vegetables. C. lanceolata is distributed in India and East Asia such as China, Japan as well as Korea. Recently, demand for C. lanceolata is increasing as a healthy food. In South Korea, this plant is widely cultivated in Gangwon-do province. Although, C. lanceolata is one of the most important medicinal plants in Korea, it is easy to be confused with other species of the same genus. Simple sequence repeat (SSR) marker is a powerful tool for distinguish specific species. In addition, there are many studies that show species-specific polymorphisms in chloroplasts SSR. In this study, we developed chloroplast SSR markers that can distinguish C. lanceolata from 6 Codonopsis species. Methods and Results : We collected 6 Codonopsis species include C. lanceolata. and extrated DNA using CTAB method. The DNA was diluted to 10 ng/㎕ and kept at –20℃. We designed the primer sets using CLC Main Workbench based on chloroplast DNA SSR region of C. lanceolata. PCR was performed using three independent plants for each species. Conclusion : We designed six primer sets from six SSR regions of C. lanceolata cpDNA. All of the primer sets amplified the amplicon effectively. Two of the 6 primer sets had polymorphism. We could distinguish C. lanceolata from 6 Codonopsis species using two primer sets.
3가지 당귀속 식물을 구분하는 엽록체 SSR Marker의 개발
Sangik Park,Jinsu Gil,Yurry Um,Hee Chung,Seong Cheol Kim,Yi Lee 한국약용작물학회 2016 한국약용작물학술대회 발표집 Vol.2016 No.05
Background : Angelica gigas is a monocarpic biennial or short lived perennial plant. A. gigas, also called Dang Gui or Korean Angelica, is a major medicinal herb used in Asian countries such as Korea, Japan and China. In Korea, we are using the roots of A. gigas, but, they are using Angelica sinensis in China and Angelica acutiloba in Japan to obtain many active constituents. The biggest problem in the using of A. gigas would be the confusion with A. acutiloba or A. sinensis. These three plants can't be distinguished by appearance. And the constituent ratios of the three plants are different. This confusion can cause an accident or the pharmaceutical effects do not meet the expectations. In this study, we developed chloroplast SSR markers that can distinguish A. gigas, A. acutiloba and A. sinensis. Methods and Results : We collected A. gigas, A. acutiloba and A. sinensis. and extrated DNA using CTAB method. The DNA was diluted to 10 ng/㎕ and kept -20℃. We designed the primer sets using CLC Main Workbench based on chloroplast DNA SSR region of A. gigas. PCR were performed on the three angelica plant samples (in 5 repeat). Conclusion : We made five primer sets from five SSR regions of A. gigas cpDNA. All of the primer sets amplified the amplicon effectively. Two of the 5 primer sets had polymorphism. We can distinguish A. gigas, A. acutiloba, and A. sinensis using the 2 primer sets
Framework for assessing responsiveness to personal data breaches based on Capture-the-Flag
Oh, Sangik,Kim, Byung-Gyu,Park, Namje Korea Multimedia Society 2020 The journal of multimedia information system Vol.7 No.3
Many state agencies and companies collect personal data for the purpose of providing public services and marketing activities and use it for the benefit and results of the organization. In order to prevent the spread of COVID-19 recently, personal data is being collected to understand the movements of individuals. However, due to the lack of technical and administrative measures and internal controls on collected personal information, errors and leakage of personal data have become a major social issue, and the government is aware of the importance of personal data and is promoting the protection of personal information. However, theory-based training and document-based intrusion prevention training are not effective in improving the capabilities of the privacy officer. This study analyzes the processing steps and types of accidents of personal data managed by the organization and describes measures against personal data leakage and misuse in advance. In particular, using Capture the Flag (CTF) scenarios, an evaluation platform design is proposed to respond to personal data breaches. This design was proposed as a troubleshooting method to apply ISMS-P and ISO29151 indicators to reflect the factors and solutions to personal data operational defects and to make objective measurements.