• Title/Summary/Keyword: 환경유전자

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Environmental risk Evaluation of the Transgenic Brassica napus with Glufosinate.ammonium-tolerance Gene (Glufosinate.ammonium 내성유전자를 도입한 형질전환 유채의 환경에 대한 안전성평가)

  • 김민경;정형진;이인중
    • Journal of Life Science
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    • v.7 no.3
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    • pp.176-179
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    • 1997
  • Environmental risk evaluation of transgenic Brassica napus introduced with glufosinate$.$ammonium-tolerance gene was carried out in a field. It is revealed that there was no difference between transgenic and non-transgenic B. napus for characteristics of ecology and morphology. Transgenic plants did not fertilize to any related Brassica species.

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Web Service Environment Construction for Pathway Database (Pathway Database통합 활용을 위한 웹 서비스 환경 구축)

  • 이호일;유성준;김민경;박현석
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04b
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    • pp.292-294
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    • 2004
  • 최근 pathway 정보의 중요성에 점점 커지고 있다. 하지만 이런 정보를 이용하기에 많은 문제점이 발생하고 있다. 이런 문제점의 해결 방법으로 웹 서비스가 도입되고 있다. 이 논문에서는 주요 pathway 데이터베이스 중 하나인 BIND와 체계적인 개념으로 유전자 용어를 정리한 Gene Ontology(GO)에 대한 웹 서비스를 개발하였다. 개발자들은 이 웹 서비스를 이용하여 BIND와 GO 데이터를 보다 쉽게 이용할 수 있을 것이다.

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월간닭고기

  • 한국계육협회
    • Monthly Korean Chicken
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    • v.6 no.1 s.55
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    • pp.2-7
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    • 2000
  • 중국산 가금육, 포장의무화 수입허용 건의 - 농림부 축산물 위생관리 업무 검역원에 위임 - 2000년도 닭계열화사업 2개소 지원 - 회장단, 농림부에 신년인사 다녀와 - 환기 관리 I - 생산성 향상을 위한 사육환경개선 세미나 실시 - 미국 닭고기 생산증가율 높아 - 태국, EU 수출을 위한 산업체질 개선 - 일본, 유전자조작 곡물 기피 증가 - 볏짚 자리깃, 주의해서 사용해야 - 미, 공급과잉으로 곡물가 하락 전망 - 도계처리 방법에 따라 영양가 달라져 - 종란의 살모넬라 오염 방지를 위한 소독 처리

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Ttrosine Hydroxylase in Japanese Medaka (Oryzias latipes): cDNA Cloning and Molecular Monitoring of TH Gene Expression As a Biomarker (송사리 Tyrosine Hydroxylase: cDNA 클로닝 및 생물지표로서의 TH 유전자 발현의 분자생물학적 추적)

  • Shin, Sung-Woo;Kim, Jung-Sang;Chon, Tae-Soo;Lee, Sung-Kyu;Koh, Sung-Cheol
    • Environmental Analysis Health and Toxicology
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    • v.15 no.4
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    • pp.131-137
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    • 2000
  • The release of hazardous waste materials into the environment poses serious risks in humans and ecosystems. The risk assessment of environmental pollutants including hazardous chemicals requires a comprehensive measurement of hazard and exposure of the chemicals that can be achieved by toxicity evaluation using a biological system such as biomarkers. In this report we have tried to develop a biomarker used to elucidate a molecular basis of, and to monitor abnormal behaviors caused by diazinon in Japanese medaka (Oryzias latipes) as a model organism. First, an attempt was made to clone tyrosine hydroxylase gene from Japanese medaka that would be a candidate for a biomarker for neuronal modulations and behaviors. For monitoring experiments at behavioral and molecular biological levels, the fish were treated under different sublethal conditions of diazinon and their behavioral responses were observed . In this study we have successfully cloned a partial TH gene from the medaka fish through PCR screening of an ovary cDNA library. DNA sequencing analysis revealed that the amplified fragment was 327 bp encoding 109 amino acids. Comparing the DNA sequence of medaka TH with other species, TH gene revealed the DNA sequence was completely identical to that of rat TH. In the RT-PCR, 330 Up of mRNA was consistently amplified in all the treated samples including control There were no significant differences in the TH expression level regardless of treating concentrations (1∼5,000 ppb) and time (0∼48 hr) The reason appeared to be that RT-PCR was not performed using through a quantitative analysis normalized against an actin gene expression. Organ or tissue - specific detection of TH activity and mRNA as biomarkers will be a useful monitoring tool for neurobehavioral changes in fish influenced by toxic chemicals. Furthermore, quantitative analysis of locomotive patterns and its correlation with the neurochemical and molecular data would be highly useful in measuring toxicity and hazard ofvarious environmental pollutants.

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Development of DNA Markers for Trehalose Synthesis Genes in Brassica rapa L. (배추 trehalose 합성 유전자와 연관된 DNA 마커 개발)

  • Jeong, Ye-Sol;Lim, Yong-Pyo;Hur, Yoon-kang;Chung, Sang-Min
    • Journal of Life Science
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    • v.19 no.5
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    • pp.639-643
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    • 2009
  • High temperature stress might affect the yield and quality of Chinese cabbage. In order to develop cultivars resistant to high temperature stress, we developed polymorphic DNA markers for trehalose synthesis genes related to abiotic stress resistance. A total of 28 Brassica rapa ESTs homologous to trehalose synthesis genes of Arabidopsis were found from the NCBI database. The polymorphic DNA sequences were searched between Chinese cabbages - Chiifu, which is relatively susceptible to high temperature stress, and Kenshin, which is tolerant to high temperature stress. Among the 28 ESTs, we found 10 ESTs that have either insertion/deletion and/or single nucleotide polymorphism between the two cultivars. Those polymorphic sites were then targeted for the development of 10 PCR based markers. These molecular markers related to trehalose genes could be used not only to test their relationship with abiotic stress resistance in Chinese cabbage, but also the development of abiotic stress resistant cultivars using MAS.

3D Model Extraction Method Using Compact Genetic Algorithm from Real Scene Stereoscopic Image (소형 유전자 알고리즘을 이용한 스테레오 영상으로부터의 3차원 모델 추출기법)

  • Han, Gyu-Pil;Eom, Tae-Eok
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.5
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    • pp.538-547
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    • 2001
  • Currently, 2D real-time image coding techniques had great developments and many related products were commercially developed. However, these techniques lack the capability of handling 3D actuality, occurred by the advent of virtual reality, because they handle only the temporal transmission for 2D image. Besides, many 3D virtual reality researches have been studied in computer graphics. Since the graphical researches were limited to the application of artificial models, the 3D actuality for real scene images could not be managed also. Therefore, a new 3D model extraction method based on stereo vision, that can deal with real scene virtual reality, is proposed in this paper. The proposed method adapted a compact genetic algorithm using population-based incremental learning (PBIL) to matching environments, in order to reduce memory consumption and computational time of conventional genetic algorithms. Since the PBIL used a probability vector and competitive learning, the matching algorithm became simple and the computation load was considerably reduced. Moreover, the matching quality was superior than conventional methods. Even if the characteristics of images are changed, stable outputs were obtained without the modification of the matching algorithm.

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Identification of Quantitative Trait Loci (QTLs) Associated with Oil and Protein Contents in Soybean (Glycine max L.) (콩에서 Microsatellite marker률 이용한 oil 및 단백질 함량의 양적형질 유전자좌의 분석)

  • Kim, Hyeun-Kyeung;Kang, Sung-Taeg
    • Journal of Life Science
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    • v.14 no.3
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    • pp.453-458
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    • 2004
  • Soybean oil and protein contents are very important as a nutritional component of food. The seed composition as oil and protein are polygenic traits. In this study, the Keunolkong${\times}$Iksan10 populations were evaluated with SSR markers to identify QTLs related to oil and protein contents. Three related independent QTLs near the marker satt100 on LG C2, satt546 on LG D1b+W and satt418 on LG L were identified oil contents. The three independent QTLs near the marker satt556 on LG B2, satt414 on LG J and satt238 on LC L were identified of protein contents. In the results of this study, common QTLs on LG L was associated with seed oil and protein contents. In the result of this study, it is believed that the seed composition material as oil and protein contents were mainly controlled by environmental stresses and they are seed size on genotypes.

The Applicability of the Genetic Algorithm on Spatial Distribution of Demographic Characteristics (인구구조 공간분포 특성에 관한 유전자 알고리즘 적용방안)

  • Choei, Nae-Young;Lee, Kyung-Yoon
    • Journal of Korean Society for Geospatial Information Science
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    • v.18 no.3
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    • pp.49-56
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    • 2010
  • The Genetic Algorithm is one of the population surface modelling tool in the field of urban and environmental research based on the gridded population data. Taking the East-Hwasung area as the case, this study first builds a gridded population data based on the GIS databases as well as municipal population survey data. The study then constructs the attribute values of the explanatory variables by way of GIS tools. The regression model constructed with the same variables is also run as a comparative purpose at the same time. It is shown that the GenAlg output predicted as much consistent and meaningful coefficient estimates for the explanatory variables as the regression model, indicating that it is a very useful interdisciplinary research tool to find optimal solutions in urban problems.

Product Recommender System for Online Shopping Malls using Data Mining Techniques (데이터 마이닝을 이용한 인터넷 쇼핑몰 상품추천시스템)

  • Kim, Kyoung-Jae;Kim, Byoung-Guk
    • Journal of Intelligence and Information Systems
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    • v.11 no.1
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    • pp.191-205
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    • 2005
  • This paper presents a novel product recommender system as a tool fur differentiated marketing service of online shopping malls. Ihe proposed model uses genetic algorithnt one of popular global optimization techniques, to construct a personalized product recommender systen The genetic algorinun may be useful to recommendation engine in product recommender system because it produces optimal or near-optimal recommendation rules using the customer profile and transaction data. In this study, we develop a prototype of WeLbased personalized product recommender system using the recommendation rules fi:om the genetic algorithnL In addition, this study evaluates usefulness of the proposed model through the test fur user satisfaction in real world.

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