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Cellulase gene expression profiles in termites according to habitat and diet
윤경재,김주현,황채은,김영호,이원훈,이시혁 한국응용곤충학회 2015 Journal of Asia-Pacific Entomology Vol.18 No.3
To investigate the expression profiles of cellulase genes in termites due to differences in habitat and diet, we collected one species (Microtermes pakistanicus) fromdrywood, one species (Macrotermes gilvus) fromrotten damp wood and one species (Microtermes sp.) from cow dung. Total RNA was extracted from the hind guts containing paunch and fromother tissues fromeach collected species and used for the suppression subtractive hybridization to enrich cellulase genes. The resulting EST librarieswere sequenced, the cellulase geneswere identified by BLAST search, and their phylogenetic relationships were determined. Depending on habitat and diet, termites exhibited different expression profiles of cellulase genes. Endo-β-1,4-glucanase (glycosyl hydrolase family 9, GHF 9) was the predominant cellulase expressed in M. pakistanicus,which consume drywood. In contrast,M. gilvus, consuming rotten damp wood, utilized cellobiohydrolase (GHF 7) as the major cellulase. Additionally, β-glucosidase, a cellobiase (GHF 1), was found to be the major cellulase in Microtermes sp., which consume cow dung. Based on these findings and the supposition that raw cellulose materials are likely preprocessed by cellulolytic microorganisms in damp wood and cow dung, we hypothesized that termites consuming these preprocessed cellulose materials (i.e., cellobiase) have adapted to producemore exocellulases than endocellulases. This notionwas supported by the fact that endo-β-1,4-glucanase (i.e., endocellulase) was predominantly expressed only in M. pakistanicus, which consume the raw cellulose of drywood. An analysis of the catalytic domains of the cloned cellulases suggested that these cellulases possess enzymatic activity.
한미애,한혜진,정문희,유림환,황채은,명수현,손윤진,윤영실,이철균,Han, Mi-Ae,Han, Hye Jin,Jung, Moon Hee,Yoo, Rim Hwan,Hwang, Chae Eun,Myung, Su Hyun,Son, Yun Jin,Yoon, Young-Sil,Lee, Choul-Gyun 한국해양바이오학회 2014 한국해양바이오학회지 Vol.6 No.2
Ultraviolet-B radiation (UV-B) in sunlight causes biological damages such as erythema and blister on skin. Microalgae have been in the limelight as an attractive feedstock for manufacturing functional materials. This study focused on screening microalga with protection ability against UV-B. The microalgae were isolated from local areas on April to June 2013 as well as June 2014. The cells were grown under continuous illumination from fluorescent lamps at $136.3{\pm}2.2{\mu}E/m^2/s$ in BG-11 medium at $15^{\circ}C$ for 12-14 days. The selected cells were spread on BG-11 agar and were exposed to UV-B (312 nm) for 20 and 25 minutes. The 13 strains among selected algae were classified. Among these, 9 strains were Scenedesmus sp. and the remains were Chlorella sp. Based on this study, it seems that Scenedesmus sp. and Chlorella sp. have resistibility against ultraviolet. These results will help to study on UV protection using microalgae.
지능형 IoE 플랫폼을 위한 Nools 기반 룰 엔진의 설계 및 구현
이성훈(Sung-Hun Lee),황채은(Chae-Eun Hwang),정진우(Jin-Woo Jeong) 한국정보전자통신기술학회 2018 한국정보전자통신기술학회논문지 Vol.11 No.4
IoT 생태계가 다양한 사용자들에 의하여 폭넓게 사용되기 위해서는 디바이스, 플랫폼과 사용자와의 상호작용 및 이에 대한 사용자 경험이 향상되어야 한다. 본 연구에서는 사용자들이 IoE (Internet of Everything) 플랫폼에서 디바이스와 서비스들을 보다 효과적으로 사용할 수 있도록 지원하기 위한 웹 기반 룰 엔진 시스템을 제안한다. 제안하는 시스템은 센서, 액추에이터, 외부 서비스 기반의 규칙 기반 시나리오를 직관적으로 생성하고 관리하기 위한 웹 인터페이스 및 UI 컴포넌트와 이를 통하여 생성된 규칙들을 Nools 룰 엔진에 적합하게 자동으로 변환하고 관리하기 위한 룰 관리 모듈로 구성되어 있다. 마지막으로, 본 논문에서는 각종 IoT 디바이스와 외부 서비스들의 룰 기반 응용 시나리오 동작 시연을 통하여 제안하는 시스템의 활용 가능성과 유용성을 보였다. In order to make the IoT ecosystem more usable and friendly to general users, the interaction between the users and platforms/devices and its UX must be improved. In this study, a web-based rule engine system to help users intuitively interact with the various devices and services in IoE (Internet of Everything) platform is proposed. The proposed system consists of web interfaces and UI components for creating and managing rule-based scenarios using sensors, actuators, and external services in an intuitive way. Also, a rule management module for automatically translating the rules from the web interface into Nools rule engine compatible ones is proposed. Finally, we show the usability and feasibility of the proposed system by demonstration of rule-based use cases of IoT devices and external services.