• 제목/요약/키워드: mutation program

검색결과 101건 처리시간 0.032초

Transcriptome Analysis of Phosphate Starvation Response in Escherichia coli

  • Baek, Jong-Hwan;Lee, Sang-Yup
    • Journal of Microbiology and Biotechnology
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    • 제17권2호
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    • pp.244-252
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    • 2007
  • Escherichia coli has a PhoR-PhoB two-component regulatory system to detect and respond to the changes of environmental phosphate concentration. For the E. coli W3110 strain growing under phosphate-limiting condition, the changes of global gene expression levels were investigated by using DNA microarray analysis. The expression levels of some genes that are involved in phosphate metabolism were increased as phosphate became limited, whereas those of the genes involved in ribosomal protein or amino acid metabolism were decreased, owing to the stationary phase response. The upregulated genes could be divided into temporarily and permanently inducible genes by phosphate starvation. At the peak point showing the highest expression levels of the phoB and phoR genes under phosphate-limiting condition, the phoB- and/or phoR-dependent regulatory mechanisms were investigated in detail by comparing the gene expression levels among the wild-type and phoB and/or phoR mutant strains. Overall, the phoB mutation was epistatic over the phoR mutation. It was found that PhoBR and PhoB were responsible for the upregulation of the phosphonate or glycerol phosphate metabolism and high-affinity phosphate transport system, respectively. These results show the complex regulation by the PhoR-PhoB two-component regulatory system in E. coli.

Phosphatidylcholine is Required for the Efficient Formation of Photosynthetic Membrane and B800-850 Light-Harvesting Complex in Rhodobacter sphaeroides

  • Kim, Eui-Jin;Kim, Mi-Sun;Lee, Jeong-K.
    • Journal of Microbiology and Biotechnology
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    • 제17권2호
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    • pp.373-377
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    • 2007
  • No phosphatidylcholine (PC) was detected in the membrane of Rhodobacter sphaeroides pmtA mutant (PmtAl) lacking phosphatidylethanolamine (PE) N-methyltransferase, whereas PE in the mutant was increased up to the mole % comparable to the combined level of PE and PC of wild type. Neither the fatty acid composition nor the fluidity of membrane was altered by pmtA mutation. Consistently, aerobic and photoheterotrophic growth of PmtAl were not different from wild type. However, PmtAl showed an extended lag phase (15 h) after the growth transition from aerobic to photoheterotrophic conditions, indicating the PC requirement for the efficient formation of intracytoplasmic membrane (ICM). Interestingly, the B800-850 complex of PmtAl was decreased more than twofold in comparison with wild type, whereas the level of the B875 complex comprising the fixed photosynthetic unit was not changed. Since puc expression is not affected by pmtA mutation, PC appears to be required for the proper formation of the B800-850 complex in the ICM of R. sphaeroides.

Genetic Algorithm을 이용한 상수관망의 최적설계: (I) -비용 최적화를 중심으로- (Optimal Design of Water Distribution Networks using the Genetic Algorithms: (I) -Cost optimization-)

  • 신현곤;박희경
    • 상하수도학회지
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    • 제12권1호
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    • pp.70-80
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    • 1998
  • Many algorithms to find a minimum cost design of water distribution network (WDN) have been developed during the last decades. Most of them have tried to optimize cost only while satisfying other constraining conditions. For this, a certain degree of simplification is required in their calculation process which inevitably limits the real application of the algorithms, especially, to large networks. In this paper, an optimum design method using the Genetic Algorithms (GA) is developed which is designed to increase the applicability, especially for the real world large WDN. The increased to applicability is due to the inherent characteristics of GA consisting of selection, reproduction, crossover and mutation. Just for illustration, the GA method is applied to find an optimal solution of the New York City water supply tunnel. For the calculation, the parameter of population size and generation number is fixed to 100 and the probability of crossover is 0.7, the probability of mutation is 0.01. The yielded optimal design is found to be superior to the least cost design obtained from the Linear Program method by $4.276 million.

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Bioinformatics Interpretation of Exome Sequencing: Blood Cancer

  • Kim, Jiwoong;Lee, Yun-Gyeong;Kim, Namshin
    • Genomics & Informatics
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    • 제11권1호
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    • pp.24-33
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    • 2013
  • We had analyzed 10 exome sequencing data and single nucleotide polymorphism chips for blood cancer provided by the PGM21 (The National Project for Personalized Genomic Medicine) Award program. We had removed sample G06 because the pair is not correct and G10 because of possible contamination. In-house software somatic copy-number and heterozygosity alteration estimation (SCHALE) was used to detect one loss of heterozygosity region in G05. We had discovered 27 functionally important mutations. Network and pathway analyses gave us clues that NPM1, GATA2, and CEBPA were major driver genes. By comparing with previous somatic mutation profiles, we had concluded that the provided data originated from acute myeloid leukemia. Protein structure modeling showed that somatic mutations in IDH2, RASGEF1B, and MSH4 can affect protein structures.

이진코딩 유전알고리즘과 모드해석법을 이용한 선박 추진축계의 직경 최적설계 (Optimum Design of Diameters of Marine Propulsion Shafting by Binary-Coded Genetic Algorithm and Modal Analysis Method)

  • 최명수;문덕홍;설종구
    • 동력기계공학회지
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    • 제7권3호
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    • pp.29-34
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    • 2003
  • Genetic algorithm is a optimization technique based on the mechanics of natural selection and natural genetics. Global optimum solution can be obtained efficiently by operations of reproduction, crossover and mutation in genetic algorithm. The authors developed a computer program which can optimize marine propulsion shafting by using binary-coded genetic algorithm and modal analysis method. In order to confirm the effectiveness of the developed computer program, we apply the program to a optimum design problem which is to obtain optimum diameters of intermediate shaft and propeller shaft in marine propulsion shafting. Objective function is to minimize total mass of shafts and constraints are that torsional vibration stresses of shafts in marine propulsion shafting can not exceed the permissible torsional vibration stresses of the ship classification society. The computational results by the program were compared with those of conventional design technique.

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토마토 과색 돌연변이 유전자(old-gold-crimson) 선발을 위한 dCAPS 분자표지 개발 (A Gene-based dCAPS Marker for Selecting old-gold-crimson (ogc) Fruit Color Mutation in Tomato)

  • 박영훈;이용재;강점순;최영환;손병구
    • 생명과학회지
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    • 제19권1호
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    • pp.152-155
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    • 2009
  • old-gold-crimson ($og^c$) 과색 돌연변이는 라이코펜의 함량이 증가된 진붉은색 토마토 과실을 생산한다. 이러한 돌연변이는 토마토의 carotenoid 생합성경로에 관여하여 라이코펜을 ${\beta}$-carotene으로 전환시키는 라이코펜 ${\beta}$-cyclase (Crt-b) 유전자(B)에 point mutation을 일으켜 정상적인 효소생성을 저해한다. 높은 함량의 라이코펜을 생성시키는 토마토 품종개발은 유전자 연관 DNA 마커를 이용한 분자표지이용선발(MAS)을 통해 가속화 될 수 있다. $og^c$ 돌연변이는 라이코펜 ${\beta}$-cyclase(Crt-b) 유전자 내 poly-A 서열반복 지점에서 adenine (A) 단일 뉴클레오티드의 결손에 의한 frame-shift mutation에 의해 일어나며, 이러한 대립유전자의 운영과 검증을 위해 $og^c$ 대립유전자로부터 합성되는 PCR 산물에 Hin fI 제한효소 인식부위가 인위적으로 생성되도록 PCR 프라이머에 단일 뉴클레오티드 mismatch 부위를 만들어 dCAPS 마커를 개발하였다. 본 dCAPS 마커는 유전자 유래의 공우성 PCR 마커로서 고함량 라이코펜 토마토개발을 위한 육종 프로그램의 MAS에 효과적으로 사용될 수 있다.

Functional Identification of Ginkgo biloba 1-Deoxy-D-xylulose 5-Phosphate Synthase (DXS) Gene by Using Escherichia coli Disruptants Defective in DXS Gene

  • Kim, Sang-Min;Kuzuyama, Tomohisa;Chang, Yung-Jin;Kim, Soo-Un
    • Journal of Applied Biological Chemistry
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    • 제48권2호
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    • pp.101-104
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    • 2005
  • DXS catalyzes the first step of MEP pathway. Escherichia coli disruptants defective in dxs were constructed by insertional mutation and characterized. Selected disruptant, DXM3, was auxotrophic for DX or ME. Putative class 1 DXS ORF from Ginkgo biloba was shown to rescue DXM3 grown without DX or ME supplementation. The putative ORF was thus confirmed as DXS1. The disruptant was demonstrated to be useful for DSX screening.

Population-Based Newborn Hearing Impairment Screening Test Using GJB2 Mutation Analysis

  • Lee, Kyung-Ok;Jeong, Su-Jin;Byun, Ji-Young;Kim, Jeong-Sook;Lee, Hye-Jung;Seong, Hye-Soon;Kim, Kyung-Tae
    • 대한임상검사과학회지
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    • 제39권2호
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    • pp.113-121
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    • 2007
  • 선천성난청은 비교적 흔한(1/1,000) 유전성질환으로 여러 유전자와 관련이 있으며, 최근에는 connexin 26 단백질내의 GJB2 유전자 돌연변이와의 관련성이 보고되고 있다. 유전질환을 예측하기 위한 유전자선별검사를 임상에 적용하기 위해서는 각 해당 국가별로 정상인에서 유전자돌연변이의 빈도를 구하고, 환자의 결과를 비교하여 활용성을 검토한 후 사용하여야 한다. 본 연구에서는 청력검사(TEOAE)가 정상인 신생아에서 GJB2 유전자 돌연변이 빈도를 구하여 screening test를 위한 한국인의 database를 수립하고자 하였다. 검체로는 437 명의 건강한 신생아의 발꿈치를 천자하여 얻은 혈액을 이용하였고, DNA는 Intron 사의 킷트를 사용하여 추출하였으며, GJB2 PCR을 실시한 후 증폭산물(783 bps)은 2% agarose gel로 전기영동을 실시하였고, DNA 자동염기서열분석기를 이용하여 분석을 실시하였다. 총 437명의 한국인 신생아에서 GJB2 유전자 중 8곳의 돌연변이(35delG, 167delT, 235delC, V27I, V37I, M34T, E114G, I203T)를 분석하였으며, 이 중 5곳에서 돌연변이가 발견되었다. 총 437명 중 301명(68.9%)에서 GJB2 유전자돌연변이가 발견되었는데, 그 중 154명이 단일돌연변이였다. V27I 변이가 271명으로 가장 많이 발견되었으며, 대부분의 V27I 변이는 E114G 변이와 함께 나타났다. E114G 변이는 총 146명, I203T 변이는 17명, V37I 변이는 14명, 235delC 변이는 1명의 순으로 나타났다. 이중돌연변이의 대부분은 V27I/E114G였으며, V27I/I203T는 3명에서 나타났고, 삼중돌연변이 V27I/E114G/I203T는 1명에서 발견되었다. 본 연구결과, PCR을 이용한 자동염기분석검사는 GJB2 유전자의 돌연변이 검출에 매우 유용하며, 본 결과는 향 후 신생아 난청선별검사를 위한 한국인의 database로 활용될 수 있을 것으로 사료된다.

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SAN기반 클러스터 파일 시스템의 일관성 검증을 위한 검사 프로그램의 설계 및 구현 (Design and Implementation of Consistency Check Program for Storage Area Network Based Cluster File System)

  • 백주현;박성용;이장선;오상규
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2002년도 봄 학술발표논문집 Vol.29 No.1 (A)
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    • pp.70-72
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    • 2002
  • 본 논문에서는 기존 파일 시스템의 일관성 검사 프로그램 및 클러스터 파일 시스템의 특징 분석을 통해 클러스터 파일 시스템의 일관성을 검사하는데 필요한 프로그램 설계 요소 및 구현 방법에 관해 논한다. 나아가 이러한 설계 방법에 따라 구현된 프로그램을 실제 상용화된 클러스터 파일 시스템에 적용함으로써 검사 프로그램의 기능을 검증한다 이를 위해 뮤테이션 테스트(Mutation Test) 기법을 도입하여 일관성 검사 프로그램의 신뢰성 검증 방법을 고찰하고 그에 따른 테스트 결과를 살펴본다.

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유전 프로그래밍에 의한 자율이동로봇군의 협조행동 및 제어 (Cooperative behavior and control of autonomous mobile robots using genetic programming)

  • 이동욱;심귀보
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.1177-1180
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    • 1996
  • In this paper, we propose an algorithm that realizes cooperative behavior by construction of autonomous mobile robot system. Each robot is able to sense other robots and obstacles, and it has the rule of behavior to achieve the goal of the system. In this paper, to improve performance of the whole system, we use Genetic Programming based on Natural Selection. Genetic Programming's chromosome is a program of tree structure and it's major operators are crossover and mutation. We verify the effectiveness of the proposed scheme from the several examples.

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