• 한국가축번식학회지
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• 제23권4호
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• pp.303-311
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• 1999

본 연구는 정자세포로부터 분리된 genome 내 DNA를 PCR 기법으로 증폭시킨 후 random amplified polymorphic DNA(RAPD) 분석을 통해 무지개송어의 품종 내 유전적 특성과 변이성을 해석하고 품종의 특이 유전적 표지를 개발하기 위해서 수행되었다. 20 종류의 primer를 사용하여 RAPD 양상을 검색한 후 다형현상의 출현빈도와 band 수에 기초하여 이들 중 6개의 primer를 선정하여 이용하였다. 그 중에 4개의 primer는 17개의 RAPD marker를 나타내었고, 그중 primer 당 8개인 48개 (28%)의 band 가 다형성을 보여주었다. 6개의 primer 중 4개는 개체들 사이에 다형성을 나타내는 band를 나타내었다. Bandsharing 의 경우 연어와 비교될 만큼 무지개송어는 3개의 특이적인 DNA marker를 가지고 있었다 (2.3. 2.0 및 1.3kb). 같은 무작위 primer를 이용해서 나타난 개별적인 band는 단일 primer 가 무지개송어의 정자핵 DNA의 경우 적어도 3개의 독립적인 genome 내 다형성을 탐지해 낼 수 있다는 것을 제시하고 있다. 이러한 primer에 의해서 나타난 RAPD 다형성은 개체식별을 위한 유전적 표지인자로서 사용될 수 있는 가능성을 제시하였으며, RAPD-PCR은 많은 어종에서 다형현상을 밝혀내는 기술이라 할 수 있다. 본 연구는 RAPD marker가 풍부하고 재현성이 있으며 RAPD 다형성을 지닌 marker를 사용하여 이러한 중요한 양식대상어종에서 미래의 gene mapping과 MAS 를 위한 기초를 제공해 줄 수 있다. RAPD 다형성은 어류의 품종 분화를 위한 유전적 표지로서 유용한 것으로 결론지을 수 있을 것이다.

• 한국전자파학회논문지
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• 제16권11호
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• pp.1131-1137
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• 2005

Orthogonal frequency division multiplexing(OFDM) 시스템을 사용하는 통신 시스템은 다수 부반송파들의 중첩현상으로 인해 peak-to-average power ratio(PAPR) 문제를 가진다. 본 연구에서는 최근에 발표된 PAPR 감소 기법 중의 하나인 sub-block phase weighting(SPW) 기법을 향상시킨 새로운 유전자 SPW 기법을 제안한다. 기존의 SPW 기법은 selecting mapping(SLM)이나 partial sequence(PTS) 기법과 마찬가지로 부블록과 위상요소의 수가 증가할 수록 더 효과적인 PAPR감소 성능을 얻을 수 있지만, 부블록 수에 비례하여 반복 탐색 횟수가 지수적으로 증가한다는 단점 때문에 고려하는 부블록 수에 대한 한계성을 가지고 있다. 따라서, 본 논문에서는, 이러한 부블록 수에 대한 제한 문제를 극복하고 더 나은 PAPR감소 성능을 얻기 위한 방법으로서, 기존의 SPW기법의 단점을 유전자 알고리즘을 이용하여 제거하는 기법을 제안하였다. 제안된 기법에서는 위상 탐색의 반복 계산량이 초기 조건의 개체군(population)과 세대수(generation)에 따라 정해지고 부블록과 위상요소의 수가 증가하여도 변하지 않는 특성을 이용하였다. 제안된 기법의 우수성을 시뮬레이션과 결과의 분석을 통하여 나타내었다.

• 정보관리연구
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• 제40권4호
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• pp.109-133
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• 2009

생명정보 중에서 미국의 국립생명공학정보센터(NCBI)에서 제공하는 GenBank는 전 세계적으로 연구자들이 가장 많이 사용하는 대표적인 유전자정보 데이터베이스이다. 한국과학기술정보연구원(KISTI)은 GenBank의 최신 버전을 데이터베이스로 재구축하여 Bio-KRISTAL 검색엔진을 이용하여 국내 생명과학 연구자들에게 제공하고 있다. 본 논문에서는 GenBank 데이터베이스를 활용하여 과학기술정보 통합서비스인 NDSL의 논문정보, 특허정보, 생물다양성정보 등의 콘텐트와 GenBank reference 필드와 organism 필드를 상호 연계하는 서비스 모델을 설계하고 프로토타입 시스템을 개발하였다. 이를 위하여 1) NCBI FTP 사이트에서 GenBank 데이터를 수집하여, 2) GenBank 텍스트 파일을 유전자 기본정보와 참고정보로 나누어 데이터베이스로 재구축하여, 3) GenBank reference 필드에서 논문 및 특허 정보 추출을 통한 새로운 테이블을 생성하여, 4) 데이터 맵핑 기술을 이용하여 GenBank 데이터와 NDSL 데이터가 상호 연계되어 서비스되는 프로토타입 시스템을 구현하여 이종의 콘텐트간 연계 및 융합 서비스의 가능성을 확인하였다.

• Plant Breeding and Biotechnology
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• 제6권4호
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• pp.391-403
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• 2018

Genome resequencing by next-generation sequencing technology can reveal numerous single nucleotide polymorphisms (SNPs) within a closely-related cultivar group, which would enable the development of sufficient SNP markers for mapping and the identification of useful genes present in the cultivar group. We analyzed genome sequence data from 13 Korean japonica rice varieties and discovered 740,566 SNPs. The SNPs were distributed at 100-kbp intervals throughout the rice genome, although the SNP density was uneven among the chromosomes. Of the 740,566 SNPs, 1,014 SNP sites were selected on the basis of polymorphism information content (PIC) value higher than 0.4 per 200-kbp interval, and 506 of these SNPs were converted to Kompetitive Allele-Specific PCR (KASP) markers. The 506 KASP markers were tested for genotyping with the 13 sequenced Korean japonica rice varieties, and polymorphisms were detected in 400 KASP markers (79.1%) which would be suitable for genetic analysis and molecular breeding. Additionally, a genetic map comprising 205 KASP markers was successfully constructed with 188 $F_2$ progenies derived from a cross between the varieties, Junam and Nampyeong. In a phylogenetic analysis with 81 KASP markers, 13 Korean japonica varieties showed close genetic relationships and were divided into three groups. More KASP markers are being developed and these markers will be utilized in gene mapping, quantitative trait locus (QTL) analysis, marker-assisted selection and other strategies relevant to crop improvement.

• 식물분류학회지
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• 제50권3호
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• pp.327-332
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• 2020

Microsatellite markers were developed as a tool for phylogeographic studies of Hosta capitata. We also assessed cross-amplification in species closely related to Hosta capitata. We produced 28 polymorphic microsatellite markers by mapping 300 bp paired-end reads obtained from Illumina MiSeq data of H. capitata. In H. capitata, the number of alleles per locus ranged from 1 to 13. Observed and expected heterozygosity ranged from 0.000 to 0.844 and 0.000 to 0.832, respectively. Additionally, 13 loci were successfully transferable to the related species of H. minor and H. venusta. These markers will provide a powerful genetic tool not only for elucidating the phylogeographic patterns of H. capitata populations but also for studying the genetic delimitation of H. capitata from its related species.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2017년도 9th Asian Crop Science Association conference
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• pp.13-13
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• 2017

By the progress of genome sequencing, infrastructures for marker-assisted breeding (MAB) of rice came to be established. Fine mapping and gene isolation have been conducted using the breeding materials derived from natural variations and artificial mutants. Such genetic analysis by the genome-wide dense markers provided us the knowledge about the many genes controlling important traits. We identified several genes or quantitative trait loci (QTL) for heading date, blast resistance, eating quality, high-temperature stress tolerance, and so on. NILs of each gene controlling heading date contribute to elongate the rice harvest period. Determination of precise gene location of blast resistance gene pi21, allowed us to overcome linkage drag, co-introduction of undesirable eating quality. We could also breed the first practical rice cultivar in Japan with a brown planthopper resistance gene bph11 in the genetic back-ground of an elite cultivar. Discovery of major and minor QTLs for good eating quality allowed us to fine-tune of eating quality according to the rice planting area or usage of rice grain. Many rice cultivars have bred efficiently by MAB for several traits, or by marker-assisted backcross breeding through chromosome segment substitution lines (CSSLs) using genetically diverse accessions. We are also systematically supporting the crop breeding of other sectors by MAB or by providing resources such as CSSLs. It is possible to pyramid many genes for important traits by using MAB, but is still difficult to improve the yielding ability. We are performing a Genomic Selection (GS) for improvement of rice biomass and grain yield. We are also trying to apply the genome editing technology for high yield rice breeding.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2017년도 9th Asian Crop Science Association conference
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• pp.11-11
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• 2017

The most drought resistant among the five most important cereal crops, and a key dual-use (grain and biomass) crop in regions containing some of the world's most degraded soils, sorghum has inherent climate resilience that is likely to become more important under environmental conditions that are projected by many climate change models. The importance of sorghum might be further elevated by the development of productive genotypes that increase the extent and duration of soil cover beyond those of conventional annual crops, mitigating or even reversing losses of ecological capital through multiple crops from single plantings. Rich genetic and genomic resources have been developed to link Sorghum phenotypic diversity to its molecular basis, and in particular the genus has become a model for dissecting the molecular control of perenniality. Nature has made Sorghum perennial at least twice, and crosses between wild perennials and cultivated sorghums show the feasibility of developing genotypes with varying degrees of investment in perenniality while still providing harvestable food, feed, sugar and/or cellulose. Genetic analysis of progeny from these crosses is revealing the hereditary basis of traits related to ratooning and perenniality and providing diagnostic DNA markers. One perennial Sorghum species has adapted to continents and latitudes far beyond the reach of its progenitors, surviving stresses year after year that are only periodically experienced by conventional (annual) sorghum, and may also harbor novel alleles that may mitigate production challenges in conventional annual sorghums.

• Asian-Australasian Journal of Animal Sciences
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• 제13권8호
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• pp.1040-1043
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• 2000

The genomic mapping of Red Jungle Fowl (Gallus gallus), local Village Chicken, and broiler was carried out by random amplified polymorphism DNA (RAPD) technique. Two different sets of arbitrary primers were used (Operon OPA01-20 and Genemed GM01-50). All the genomes of the three species of chickens were amplified with OPA01-20 primers. The genomes of the Red Jungle Fowl and local Village Chicken were further amplified with GM01-50 primers. Analysis of the results based on band sharing (BS) and the molecular size of individually amplified DNA fragments showed that Red Jungle Fowl and local Village Chicken shared the species similarity of 66% with Operon primers 01-20, 64% between local Village Chicken and broiler, and 63% when DNA bands between Red Jungle Fowl and broiler were compared. With GM01-50, the BS between Red Jungle Fowl and local village chicken increased to 72%. The results showed that the local village chicken is more closely related to Red Jungle Fowl than to broiler in the genetic distance. On the other hand, broiler is 1% closer in genetic distance to local village chicken than to Red Jungle Fowl. The results also indicated that primers like OPA-7, 8 and 9 can be used as species specific DNA markers for these three species of chickens.

• 환경영향평가
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• 제20권5호
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• pp.663-673
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• 2011

In the face of accelerating biodiversity loss and its significance in our coexistence with nature, biodiversity is becoming more crucial in sustainable development perspective. To estimate biodiversity in the future which provides valuable information for decision making system especially in the national level, a quantitative approach must be studied forehand as a baseline of the present status. In this study, we developed a large-scale map of Plant Species Richness (PSR, typical indicator of biodiversity) for Young-dong and Pyung-chang provinces. Due to the accessibility of appropriate data and advance of modelling techniques, reduction of variables without deteriorating the predictive power is considered by applying Genetic algorithm. In addition, a number of Correctly Classified Instances (CCI) with 10-fold cross validation which indicates the predictive power, was carried out for evaluation. This study, as a fundamental baseline, will be beneficial in future land work as well as ecosystem restoration business or other relevant decision making agenda.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 B
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• pp.740-743
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• 1998

This paper presents an optimization algorithm for a stable Dynamic Neural Network (DNN) using genetic algorithm. Optimized DNN is applied to a problem of controlling nonlinear dynamical systems. DNN is dynamic mapping and is better suited for dynamical systems than static forward neural network. The real time implementation is very important, and thus the neuro controller also needs to be designed such that it converges with a relatively small number of training cycles. SDNN has considerably fewer weights than DNN. The object of proposed algorithm is to the number of self dynamic neuron node and the gradient of activation functions are simultaneously optimized by genetic algorithms. To guarantee convergence, an analytic method based on the Lyapunov function is used to find a stable learning for the SDNN. The ability and effectiveness of identifying and controlling, a nonlinear dynamic system using the proposed optimized SDNN considering stability' is demonstrated by case studies.