• 제목/요약/키워드: genetic resource

검색결과 683건 처리시간 0.026초

Population genetic structure based on mitochondrial DNA analysis of Ikonnikov's whiskered bat (Myotis ikonnikovi-Chiroptera: Vespertilionidae) from Korea

  • Park, Soyeon;Noh, Pureum;Choi, Yu-Seong;Joo, Sungbae;Jeong, Gilsang;Kim, Sun-Sook
    • Journal of Ecology and Environment
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    • 제43권4호
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    • pp.454-461
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    • 2019
  • Background: Ikonnikov's whiskered bat (Myotis ikonnikovi) is found throughout the Korean Peninsula, as well as in Kazakhstan, Russia, Mongolia, China, and Japan. It is small-sized and primarily inhabits old-growth forests. The decrease and fragmentation of habitats due to increased human activity may influence the genetic structure of bat populations. This study was designed to elucidate the population genetic structure of M. ikonnikovi using mitochondrial genes (cytochrome oxidase I and cytochrome b). Results: The results showed that M. ikonnikovi populations from Korea have high genetic diversity. Although genetic differentiation was not detected for the COI gene, strong genetic differentiation of the Cytb gene between Mt. Jeombong and Mt. Jiri populations was observed. Moreover, the results indicated that the gene flow of the maternal lineage may be limited. Conclusions: This study is the first to identify the genetic population structure of M. ikonnikovi. We suggest that conservation of local populations is important for sustaining the genetic diversity of the bat, and comprehensive studies on factors causing habitat fragmentation are required.

Association of ABO genetic Polymorphisms and Type 2 Diabetes Mellitus Susceptibility in the Korean Population

  • Yu-Na Kim;Sung Won Lee;Sangwook Park
    • 대한의생명과학회지
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    • 제30권2호
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    • pp.65-72
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    • 2024
  • The national diabetes and prediabetes prevalence rate has risen among Korean adolescents and adults. Type 2 diabetes mellitus (T2DM) is commonly interrelated with genetic, metabolic, and environmental risk factors in clinical practice. In this study, we analyzed the association between genetic polymorphisms of the ABO gene with T2DM in the Korean population, we conducted an analysis of gene-phenotype correlation, based on an additive genetic model. A total of 8,840 subjects from the Korea Association REsource (KARE) were selected for this study. Using the genetic and epidemiologic data of 754 T2DM cases and 5721 normal controls from the KARE, single nucleotide polymorphisms (SNPs) in the ABO gene were analyzed for their genetic correlation. As a result, 8 SNPs out of the ABO gene demonstrated statistically significant association with T2DM. Among them, rs657152 in the ABO gene statistically showed the most significant correlation with T2DM (P-value=0.0084, OR=1.15, CI=1.04~1.28). The minor allele of A polymorphism within the intron genetic region of ABO directed increased risk of T2DM. This work reveals a significant association between genetic polymorphism in the ABO gene and T2DM. This finding suggested that ABO SNPs markers might be a genetic correlation to the etiology of T2DM.

최대 시스템 신뢰도를 위한 최적 중복 설계: 유전알고리즘에 의한 접근 (Optimum redundancy design for maximum system reliability: A genetic algorithm approach)

  • 김재윤;신경석
    • 품질경영학회지
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    • 제32권4호
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    • pp.125-139
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    • 2004
  • Generally, parallel redundancy is used to improve reliability in many systems. However, redundancy increases system cost, weight, volume, power, etc. Due to limited availability of these resources, the system designer has to maximize reliability subject to various constraints or minimize resources while satisfying the minimum requirement of system reliability. This paper presents GAs (Genetic Algorithms) to solve redundancy allocation in series-parallel systems. To apply the GAs to this problem, we propose a genetic representation, the method for initial population construction, evaluation and genetic operators. Especially, to improve the performance of GAs, we develop heuristic operators (heuristic crossover, heuristic mutation) using the reliability-resource information of the chromosome. Experiments are carried out to evaluate the performance of the proposed algorithm. The performance comparison between the proposed algorithm and a pervious method shows that our approach is more efficient.

Recent Advances in Sheep Genome Mapping

  • Crawford, A.M.
    • Asian-Australasian Journal of Animal Sciences
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    • 제12권7호
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    • pp.1129-1134
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    • 1999
  • The rapid development of the sheep genetic linkage map over the last five years has given us the ability to follow the inheritance of chromosomal regions. Initially this powerful resource was used to find markers linked to monogenic traits but there is now increasing interest in using the genetic linkage map to define the complex of genes that control multigenic production traits. Of particular interest are those production traits that are difficult to measure and select for using classical quantitative genetic approaches. These include resistance to disease where a disease challenge (necessary for selection) poses too much risk to valuable stud animals and meat and carcass qualities which can be measured only after the animal has been slaughtered. The goal for the new millennium will be to fully characterise the genetic basis of multigenic production traits. The genetic linkage map is a vital tool required to achieve this.

그리드시스템을 위한 부하재분배 메커니즘에 관한 연구 (Study on Load Redistribution Mechanism in Grid System)

  • 이성훈
    • 한국산학기술학회논문지
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    • 제10권9호
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    • pp.2350-2353
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    • 2009
  • 그리드에서 수행할 수 있는 많은 응용들에 대해 그리드시스템은 시스템내 작업들에 대해 낮은 사용율을 보이는 머신에 스케줄링 함으로써 자원 균형 효과를 제공할 수 있다. 각 작업들이 수행되기 위해 서로 통신을 하는 동안 그리드 스케줄러는 통신 트래픽 혹은 통신 거리의 최소화를 고려하여 작업들을 스케줄링 한다. 본 연구에서는 통신 트래픽 혹은 통신 거리를 감안한 부하재분배 알고리즘을 제한한다. 이를 기반으로 시뮬레이션을 수행하였다. 실험결과에서는 전반적으로 기존의 방법보다 반응시간에서 우수함을 보였다.

Genetic algorithm-based scheduling for ground support of multiple satellites and antennae considering operation modes

  • Lee, Junghyun;Kim, Haedong;Chung, Hyun;Ko, Kwanghee
    • International Journal of Aeronautical and Space Sciences
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    • 제17권1호
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    • pp.89-100
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    • 2016
  • Given the unpredictability of the space environment, satellite communications are manually performed by exchanging telecommands and telemetry. Ground support for orbiting satellites is given only during limited periods of ground antenna visibility, which can result in conflicts when multiple satellites are present. This problem can be regarded as a scheduling problem of allocating antenna support (task) to limited visibility (resource). To mitigate unforeseen errors and costs associated with manual scheduling and mission planning, we propose a novel method based on a genetic algorithm to solve the ground support problem of multiple satellites and antennae with visibility conflicts. Numerous scheduling parameters, including user priority, emergency, profit, contact interval, support time, remaining resource, are considered to provide maximum benefit to users and real applications. The modeling and formulae are developed in accordance with the characteristics of satellite communication. To validate the proposed algorithm, 20 satellites and 3 ground antennae in the Korean peninsula are assumed and modeled using the satellite tool kit (STK). The proposed algorithm is applied to two operation modes: (i) telemetry, tracking, and command and (ii) payload. The results of the present study show near-optimal scheduling in both operation modes and demonstrate the applicability of the proposed algorithm to actual mission control systems.

A Looping Population Learning Algorithm for the Makespan/Resource Trade-offs Project Scheduling

  • Fang, Ying-Chieh;Chyu, Chiuh-Cheng
    • Industrial Engineering and Management Systems
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    • 제8권3호
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    • pp.171-180
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    • 2009
  • Population learning algorithm (PLA) is a population-based method that was inspired by the similarities to the phenomenon of social education process in which a diminishing number of individuals enter an increasing number of learning stages. The study aims to develop a framework that repeatedly applying the PLA to solve the discrete resource constrained project scheduling problem with two objectives: minimizing project makespan and renewable resource availability, which are two most common concerns of management when a project is being executed. The PLA looping framework will provide a number of near Pareto optimal schedules for the management to make a choice. Different improvement schemes and learning procedures are applied at different stages of the process. The process gradually becomes more and more sophisticated and time consuming as there are less and less individuals to be taught. An experiment with ProGen generated instances was conducted, and the results demonstrated that the looping framework using PLA outperforms those using genetic local search, particle swarm optimization with local search, scatter search, as well as biased sampling multi-pass algorithm, in terms of several performance measures of proximity. However, the diversity using spread metric does not reveal any significant difference between these five looping algorithms.

Ecological characteristics of areas naturally inhabited by Dolbae trees(Pyrus pyrifolia) on Mt. Kaya

  • Ahn, Young-Hee;Chung, Kyu-Hwan
    • 한국환경과학회지
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    • 제11권11호
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    • pp.1149-1156
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    • 2002
  • The ecological characteristics of Dolbae trees, a valuable genetic resource for native pyrus fruit trees, were investigated at four naturally inhabited areas on Mount Kaya, Gyeongsangnam-Do. Most Dolbae trees were found on the southwest side of an old hiking path to a mountain valley at altitudes of 610∼670 m. The surrounding flora consisted of 46 families, 69 genera, 75 species, and 10 varieties. The natural habitat of the Dolbae trees was basically a deciduous broad-leaved forest with a predominance of Quercus serrata and ligneous plants(xylophytes) from the Fagaceae and Betulaceae families. The habitat was also found to be in a second transition resulting from forest disturbance and exhibited a degree of diversity of 2.901-5.065, based on Shannon-Weiner's index. Examination of the Dolbae trees found in Mount Kaya revealed diameter breast heights(DBHs) ranging from 10 to 60 cm, including six old and large Dolbae trees with a DBH of 50∼60 cm, which will be particularly valuable as a genetic resource. Accordingly, the current results suggest that the study areas are a secondary forest in a typical mid-temperate zone resulting from forest damage about 10 years earlier.

Resource Allocation for Relay-Aided Cooperative Systems Based on Multi-Objective Optimization

  • Wu, Runze;Zhu, Jiajia;Hu, Hailin;He, Yanhua;Tang, Liangrui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권5호
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    • pp.2177-2193
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    • 2018
  • This paper studies resource allocation schemes for the relay-aided cooperative system consisting of multiple source-destination pairs and decode-forward (DF) relays. Specially, relaying selection, multisubcarrier pairing and assignment, and power allocation are investigated jointly. We consider a combinatorial optimization problem on quality of experience (QoE) and energy consumption based on relay-aided cooperative system. For providing better QoE and lower energy consumption we formulate a multi-objective optimization problem to maximize the total mean opinion score (MOS) value and minimize the total power consumption. To this end, we employ the nondominated sorting genetic algorithm version II (NSGA-II) and obtain sets of Pareto optimal solutions. Specially, two formulas are devised for the optimal solutions of the multi-objective optimization problems with and without a service priority constraint. Moreover, simulation results show that the proposed schemes are superior to the existing ones.