• Animal cells and systems
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• 제9권1호
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• pp.27-35
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• 2005

Bupleurum euphorbioides is isolated and restricted to high mountains in Korea northeastern China. Its conservation depends on whether it is threatened by inbreeding or a loss of genetic diversity. We compared the genetic variability in B. euphorbioides with B. longiradiatum, a widespread congener, to understand how they differ in their population genetic structure. Although B. euphorbioides showed a little lower genetic variability than B. longiradiatum, $F_{IS}$ statistics for most loci were strongly positive in both B. euphorbioides (0.445) and B. longiradiatum (0.553). In addition, B. euphorbioides showed higher mean $F_{ST}$ value than B. longiradiatum (0.297 vs 0.194). It might be due to the polycarpic nature of B. longiradiatum, which holds higher genetic potentials effectively in homogeneous environment than the monocarpic B. euphorbioides. The results suggested that B. euphorbioides is a genetically viable species, and that they are threatened primarily by environmental factor.

• International Journal of Human Ecology
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• 제11권2호
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• pp.15-23
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• 2010

This study explored genetic and environmental contributions to optimism, depressive symptoms, and the association between the two using a genetically informative sample from the Nonshared Environment and Adolescent Development project (NEAD: D. Reiss; J. M. Neiderhiser; E. M. Hetherington; & R. Plomin, 2000. At Time 1 of the longitudinal NEAD study, the sample consisted of 720 samesex twins and sibling pairs from two parent families. The study used parent, adolescent, and observer ratings of depressive symptoms as well as adolescent ratings of optimism. The results revealed that genetic influences explained approximately half of the variability in optimism and depressive symptoms. Nonshared environmental influences also substantially contributed to optimism and depressive symptoms. Bivariate genetic analyses (which partitioned the covariance between optimism and depressive symptoms into genetic and environmental components) indicated that genetic influences accounted for a moderate percentage of the association.

• 한국지능시스템학회논문지
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• 제19권3호
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• pp.381-387
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• 2009

본 논문에서는 자율주행 장치의 효율적인 자율주행을 위한 특징 맵 기반 SLAM(simultaneous localization and mapping)과 수정된 유전자 알고리즘을 이용한 경로계획을 제안하였다. 현재 연구되고 있는 자율주행 장치들에 있어서 가장 큰 문제점 중 하나는 환경 적응성이다. 이는 새로운 환경에서 자신의 위치를 인식해야 하는 경우와 "kid napping" 문제와 연계되어 자율주행 장치가 새로운 위치 혹은 알려지지 않은 위치에서 자신의 위치를 인식해야하는 경우로 구분된다. 본 논문에서는 이러한 환경 적응성 문제를 해결하기 위해 초음파 센서를 이용한 특징맵 기반 SLAM을 적용하였으며, 지능형 자율주행 장치의 효율적인 주행을 위해 수정된 유전자 알고리즘(genetic algorithm: GA)을 적용한다. 본 논문에서는 성능을 분석하기 위해 직접 설계 제작한 자율주행 장치를 대상으로 임의의 위치에서 자율주행 장치 스스로 자신의 위치를 인식한 후, 주어진 작업을 수행하기 위해 유전자 알고리즘을 통하여 최적화 된 경로를 따라 주행하는 가를 실험하였다. 실험 결과, 빠르고 최적화된 경로계획과 효율적인 SLAM이 가능함을 확인 할 수 있었다.

• Asian-Australasian Journal of Animal Sciences
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• 제29권6호
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• pp.775-781
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• 2016

A single trait linear mixed random regression test-day model was applied for the first time for analyzing the first lactation monthly test-day milk yield records in Karan Fries cattle. The test-day milk yield data was modeled using a random regression model (RRM) considering different order of Legendre polynomial for the additive genetic effect (4th order) and the permanent environmental effect (5th order). Data pertaining to 1,583 lactation records spread over a period of 30 years were recorded and analyzed in the study. The variance component, heritability and genetic correlations among test-day milk yields were estimated using RRM. RRM heritability estimates of test-day milk yield varied from 0.11 to 0.22 in different test-day records. The estimates of genetic correlations between different test-day milk yields ranged 0.01 (test-day 1 [TD-1] and TD-11) to 0.99 (TD-4 and TD-5). The magnitudes of genetic correlations between test-day milk yields decreased as the interval between test-days increased and adjacent test-day had higher correlations. Additive genetic and permanent environment variances were higher for test-day milk yields at both ends of lactation. The residual variance was observed to be lower than the permanent environment variance for all the test-day milk yields.

• Journal of Ecology and Environment
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• 제40권2호
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• pp.84-88
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• 2016

To understand the effects of habitat characteristics on the genetic diversity of Persicaria thunbergii, three sites of different environmental conditions in a water system were surveyed. Site A was the closest to the source of the water system, and there was a dam between sites A and B. Site C is located on the lowest downstream in the water system. Vegetation survey of four quadrats at each site was performed, and soil samples were collected for physicochemical analysis. Random amplification of polymorphic DNA (RAPD) analysis of ten P. thunbergii individuals at each site was conducted to calculate population genetic diversity and genetic distance among populations. Soil was sterile sand at site A, whereas loamy soil at sites B and C. A pure stand of P. thunbergii appeared at site A, while other species occurred together (such as Humulus japonicus and Phragmites australis) at sites B (Shannon-Wiener index; $H_B=0.309$) and C ($H_C=0.299$). Similar to the species diversity, genetic diversity (Nei's gene diversity; h) within population of site A ($h_A=0.2381$) was relatively lower than sites B ($h_B=0.2761$) and C ($h_C=0.2618$). However, site C was separated from sites A and B in genetic distance rather than the geographical distance (Nei's genetic distance; A~B, 0.0338; B~C, 0.0685; A~C, 0.0833).

• 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.

• 한국약용작물학회지
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• 제20권6호
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• pp.440-446
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• 2012

Gastrodia elata, an achlorophyllous orchid plant, is rare medicinal plant. We investigated the genetic diversity in G. elata from 4 locations by using Inter-Simple Sequence Repeats (ISSR) markers. Shannon's information Index (S.I.) indicating genetic diversity ranged from 0.255 (Pocheon) to 0.322 (Muju) with the mean of 0.29. The level of genetic diversity was lower than other plant and most genetic diversity was allocated among individuals within populations (26.81%). The UPGMA dendrogram based on genetic distance failed in showing decisive geographic relationship. In the case of gastrodin (GA), the major components in G. elata, Sangju was highest. The ergothionine (ERG) was detected a lot of contents in Muju and Pocheon. In conclusion, our results is very important information for explaining relationship of genetic variation and functional substances without the effects of environment factors and developing genetic marker by ISSR in G. elata, which may be responsible for the development of breeds with a lot of functional substance in G. elata.

• 식물분류학회지
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• 제53권1호
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• pp.14-24
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• 2023

Saussurea dorogostaiskii Palib. (Asteraceae) is a critically endangered medicinal plant in Mongolia and Russia. We studied the genetic variation of S. dorogostaiskii from three mountains of northern Mongolia. The genetic profile was assessed in 70 individuals from eight populations using five inter-simple sequence repeat markers, producing 53 loci with 96.4% polymorphism across all bands. Shannon's index (I) and Nei's gene diversity (H) value at the species level of S. dorogostaiskii are 0.25 and 0.17, respectively. An AMOVA showed high genetic variation among the populations (22% of populations and 32% of mountains), consistent with the high genetic differentiation (G_ST = 0.49) and low gene flow (N_m = 0.51) in S. dorogostaiskii populations. Eight populations were clustered into two groups, corresponding to their geographic locations. The low within-population genetic diversity and high genetic differentiation among S. dorogostaiskii populations factor into their endangered designation. This genetic analysis reveals that all populations are equally threatened, and community-based conservation is appropriate for these species.

• 한국육종학회지
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• 제42권1호
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• pp.87-99
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• 2010

한국의 농업유전자원센터로부터 분양받은 한국 야생콩, 일본의 Biological Resource Center in Lotus and Glycine, Frontier Science Research Center, University of Miyazaki로부터 분양 받은 일본 야생콩, 그리고 중국 지린성에서 수집되어진 야생콩 의 유전적 다양성과 유연관계를 SSR마커로 분석하여 콩 육종의 유전적 변이 확대를 위한 기초자료로 이용하고자 수행한 연구결과를 요약하면 다음과 같다. 1. 한국 야생콩 67종, 일본 야생콩 71종 및 중국 지린성의 야생콩 46종을 포함한 총 184종을 23개의 SSR마커로 유전적 다양성과 유연관계를 분석한 결과, 총 964개의 대립인자가 확인되었고, 평균 41.9개의 대립인자가 확인되었다. SSR마커별로 대립인자 수는 최소 23개(Satt635)에서 최대 56개(Satt157)까지 확인되었으며, PIC 값의 범위는 0.880~0.968로 평균 0.945이었다. 2. 한국 야생콩은 대립인자의 수는 총 513개이었고 평균 22.3개 이었으며, 일본 야생콩은 대립인자의 수는 총 511개이었고 평균 22.2개이었으며, 중국 지린성 야생콩의 대립인자의 수는 총 312개 이었으며 평균 13.6개이었다. 평균 유전적 다양성(PIC 값)은 한국 야생콩이 0.905, 일본 야생콩이 0.897 및 중국 지린성의 야생콩이 0.850로서 큰 차이가 없었다. 3. 한국, 일본 및 중국 지린성의 야생콩들은 SSR마커를 이용한 유전적 거리에 따른 군집분석에서 3그룹으로 구분되었다. I그룹은 중국 지린성의 야생콩만이 분포하였고, II그룹은 대부분이 일본의 야생콩이 분포하였는데 한국의 야생콩 5종이 포함되었으며, III그룹은 대부분이 한국의 야생콩이 분포하였으며 일본의 야생콩 6종과 중국 지린성의 야생콩 1종이 포함되었다. I그룹은 동일그룹 내에서 다른 군이 형성되지 않았으나, II그룹과 III그룹은 동일그룹 내에서 각각 몇 개의 군으로 분류되었다. 4. SSR마커에 의한 유연관계는 한국과 일본의 야생콩 간의 유전적 거리가 한국과 중국 지린성 및 일본과 중국 지린성의 야생콩 간의 유전적 거리보다 더 가까웠다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제15권1호
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• pp.12-19
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• 2015

In order to guide the robots move along a collision-free path efficiently and reach the goal position quickly in the unknown multi-obstacle environment, this paper presented the navigation problem of a wheel mobile robot based on proximity sensors by fuzzy logic controller. Then a genetic algorithm was applied to optimize the membership function of input and output variables and the rule base of the fuzzy controller. Here the environment is unknown for the robot and contains various types of obstacles. The robot should detect the surrounding information by its own sensors only. For the special condition of path deadlock problem, a wall following method named angle compensation method was also developed here. The simulation results showed a good performance for navigation problem of mobile robots.