• Title/Summary/Keyword: Population genetic diversity

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The Population Genetic Structure of the Japanese Anchovy (Engraulis japonicus Temminck & Schlegel) in the West, South and East Seas of Korea Based on Microsatellite DNA Analysis (Microsatellite을 이용한 서해, 남해 및 동해 멸치 계군 분석)

  • Oh, Taeg-Yun;Kim, Joo-Il;Seo, Young-Il;Cho, Eun-Seob
    • Journal of Life Science
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    • v.19 no.2
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    • pp.174-178
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    • 2009
  • The characteristics of the population genetic structure of the Japanese anchovy (Engraulis japonicus Temminck & Schlegel) were collected from the West, South and East Seas of Korea in August, 2006 and were compared using six microsatellite DNA loci. In the West Sea population, the range of allele number against 72 individuals was from 19 to 41, the average allele number was 28.5. In EJ9, the allele number had the highest value of 41, this was 1.4 times higher than the average number of allele. The average allele number of the South Sea population was 24.5 that was less than that of West Sea population. In EJ2, EJ9 and EJ27.1 loci, the allele number was higher than average allele number in the South Sea population. In the East Sea population, the average allele number was estimated at 25.0 that most of loci except for EJ35 were higher than average allele number. Allele frequency in the West, South and East Sea populations was below 0.24. The value of observed heterozosity for six loci was approximately 0.5 higher than that of expected heterozosity (p>0.05), but three populations similar values to these heterozosity. Although the genetic diversity was higher value of above 0.9, three populations had a similar value. Genetic differentiation and distance combined estimate of the six loci were 0.258 and 0.019 (p>0.05), respectively, but showed no significant distance between three populations. These results suggested that it is responsible for no differentiated gene pool between three populations.

Assessment of Population Structure and Genetic Diversity of 15 Chinese Indigenous Chicken Breeds Using Microsatellite Markers

  • Chen, Guohong;Bao, Wenbin;Shu, Jingting;Ji, Congliang;Wang, Minqiang;Eding, Herwin;Muchadeyi, Farai;Weigend, Steffen
    • Asian-Australasian Journal of Animal Sciences
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    • v.21 no.3
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    • pp.331-339
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    • 2008
  • The genetic structure and diversity of 15 Chinese indigenous chicken breeds was investigated using 29 microsatellite markers. The total number of birds examined was 542, on average 36 birds per breed. A total of 277 alleles (mean number 9.55 alleles per locus, ranging from 2 to 25) was observed. All populations showed high levels of heterozygosity with the lowest estimate of 0.440 for the Gushi chickens, and the highest one of 0.644 observed for Wannan Three-yellow chickens. The global heterozygote deficit across all populations (FIT) amounted to 0.180 (p<0.001). About 16% of the total genetic variability originated from differences between breeds, with all loci contributing significantly to this differentiation. An unrooted consensus tree was constructed using the Neighbour-Joining method and pair-wise distances based on marker estimated kinships. Two main groups were found. The heavy-body type populations grouped together in one cluster while the light-body type populations formed the second cluster. The STRUCTURE software was used to assess genetic clustering of these chicken breeds. Similar to the phylogenetic analysis, the heavy-body type and light-body type populations separated first. Clustering analysis provided an accurate representation of the current genetic relations among the breeds. Remarkably similar breed rankings were obtained with all methods.

Genetic Differentiation of the Largemouth Bass Micropterus salmoides from the Major Rivers and Reservoirs in Korea Assessed by AFLP (우리나라 주요 강과 호수에 분포하는 외래어종 배스 Micropterus salmoides의 AFLP 분석에 의한 유전적 분화)

  • Lee, Wan-Ok;Lee, Il-Ro;Song, Ha-Yoon;Bang, In-Chul
    • Korean Journal of Ecology and Environment
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    • v.41 no.3
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    • pp.395-401
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    • 2008
  • Genetic diversity and differentiation within or among nine populations of introduced fish, largemouth bass Micropterus salmoides were assessed by AFLP. The AFLP analysis using three primer combinations generated 299.2. AFLP bands and percentage of polymorphic bands were similar in those nine populations, ranging 14.1 to 21%. Heterozygosity and genetic diversity within or among populations were quite low for all of these populations with average values ranging from 0.054 to 0.067 and from 0.069 to 0.085, respectively. Analyses of pairwise distance and genetic similarity among nine populations of Micropterus salmoides also revealed the similar results with low genetic differentiation one another. Although pairwise Fst values were low, they were indicated a clear distinct genetic differentiation among the nine populations. These results indicate that very small population of the largemouth bass was first introduced to Paldang reservoir and they are widely spread at most of aquatic habitats in Korea.

Genetic Diversify and Population Structure of Two Korean Pond Frog Species, Rana nigromaculata and R. plancyi (Anura, Ranidae), with a Survey of Temporal Genetic Variation in R. nigromaculata

  • Suh-Yung Yang;Jong-Bum Kim;Mi-Sook Min;Jae-Hwa Suh
    • Animal cells and systems
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    • v.3 no.3
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    • pp.275-283
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    • 1999
  • Korean R. plancyi occupies a restricted area in western South Korea and shows a relatively low level of genic variability (%P=15.2, Ho=0.052, He=0.048). In contrast, R. nigromaculata is broadly distributed in South Korea. The observed low level of variability of R. nigromaculata (%P=14.3, Ho=0.042, He=0.043) is probably due to its recent colonization. Populations of R. nigromaculata exhibited considerable genetic differentiation (F$_{sT}$=0.149) and low level of gene flow (Nm=1.427) among populations, compared to those of R. Plancyi (F$_{sTF$_{sT}$}$=0.096, Nm=2.354), which occupies a restricted area. The observed levels of gene flow among populations of R. nigromaculata (Nm=1.427) over a broad geographic range is relatively higher than other amphibian species. The high level of gene flow is probably the result of the high dispersal abilities of R. nigromaculata. A survey of temporal genic variation of R. nigromaculata showed that there was no significant change on the overall average genetic diversity from 1978 (average He=0.044) to 1997 (average He=0.040). Wright's F-statistics also indicated no significant genetic differentiation from 1978 (F$_{sT}$=0.118) to 1997 (F$_{sT}$=0.108). This suggests that the environmental change appears to have had little influence on the genetic composition of R. nigromaculata in the study areas during the past 20 years. The low level of temporal variation might be due to the result of high dispersal abilities and wide migration range of this species.

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Genetic Variation of Pinus densiflora Populations in South Korea Based on ESTP Markers (ESTP 표지를 이용한 국내 소나무 집단의 유전변이)

  • Ahn, Ji Young;Hong, Kyung Nak;Lee, Jei Wan;Hong, Yong Pyo;Kang, Hoduck
    • Korean Journal of Plant Resources
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    • v.28 no.2
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    • pp.279-289
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    • 2015
  • Genetic diversity and genetic differentiation of thirteen Pinus densiflora populations in South Korea were estimated using nine ESTP (Expressed Sequence Tag Polymorphism) markers. The numbers of allele and the effective allele were 2.2 and 1.8, respectively. The percentage of polymorphic loci (P) was 98.8%. The observed and the expected heterozygosity were 0.391 and 0.402, respectively, and the eleven populations except for Ahngang and Gangneung population were under Hardy-Weinberg equilibrium state. The level of genetic differentiation (Wright’s FST = 0.057) was higher than those of isozyme or nSSR markers. We could not find out any relationship between the genetic distance and geographic distribution among populations from cluster analysis. Also, the genetic differentiation between populations was not correlated with the geographic distance (r = 0.017 and P = 0.344 from Mantel test). From the result of FST-outlier analysis to identify a locus under selection, six loci were detected at confidence interval of 99% by the frequentist’s method. However, only three loci (sams2+AluⅠ, sams2+RsaⅠ, PtNCS_p14A9+HaeⅢ) were presumed as outliers by Bayesian method. The sams2+AluⅠ and sams2+RsaⅠlocus were originated from the sams2 gene and seemed to be the loci under balancing selection.

Genetic Variation of Strawberry Fusarium Wilt Pathogen Population in Korea

  • Cho, Gyeongjun;Kwak, Youn-Sig
    • Mycobiology
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    • v.50 no.1
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    • pp.79-85
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    • 2022
  • Strawberries are a popular economic crop, and one of the major plantations and exporting countries is Korea in the world. The Fusarium oxysporum species complex (FOSC) is a soil-borne pathogen with genetic diversity, resulting in wilt disease in various crops. In Korea, strawberries wilt disease was first reported in the 1980s due to the infection of FOSC, causing significant economic damage every year. The causal agent, F. oxysporum f. sp. fragariae, is a soil-borne pathogen with a characteristic of FOSC that is difficult to control chemically and mutates easily. This study obtained genetic polymorphism information that was based on AFLP, of F. oxysporum f. sp. fragariae 91 strains, which were isolated from strawberry cultivation sites in Gyeongsangnam-do and Chungcheongnam-do, and compared strains information, which was the isolated location, host variety, response to chemical fungicide, and antagonistic bacteria, and mycelium phenotype. As a result, AFLP phylogeny found that two groups were mainly present, and group B was present at a high frequency in Gyeongsangnam-do. Group B proved less sensitive to tebuconazole than group A through Student's t-test. In addition, the fractions pattern of AFLP was calculated by comparing the strain information using PCA and PERMANOVA, and the main criteria were separated localization and strawberry varieties (PERMANOVA; p< 0.05). And tebuconazole was different with weak confidence (PERMANOVA; p< 0.10). This study suggests that the F. oxysporum f. sp. fragariae should be continuously monitored and managed, including group B, which is less chemically effective.

Performance Analysis of Distributed Genetic Algorithms for Traveling Salesman Problem (순회판매원문제를 위한 분산유전알고리즘 성능평가)

  • Kim, Young Nam;Lee, Min Jung;Ha, Chunghun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.39 no.4
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    • pp.81-89
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    • 2016
  • Distributed genetic algorithm (DGA), also known as island model or coarse-grained model, is a kind of parallel genetic algorithm, in which a population is partitioned into several sub-populations and each of them evolves with its own genetic operators to maintain diversity of individuals. It is known that DGA is superior to conventional genetic algorithm with a single population in terms of solution quality and computation time. Several researches have been conducted to evaluate effects of parameters on GAs, but there is no research work yet that deals with structure of DGA. In this study, we tried to evaluate performance of various genetic algorithms (GAs) for the famous symmetric traveling salesman problems. The considered GAs include a conventional serial GA (SGA) with IGX (Improved Greedy Crossover) and several DGAs with various combinations of crossover operators such as OX (Order Crossover), DPX (Distance Preserving Crossover), GX (Greedy Crossover), and IGX. Two distinct immigration policies, conventional noncompetitive policy and newly proposed competitive policy are also considered. To compare performance of GAs clearly, a series of analysis of variance (ANOVA) is conducted for several scenarios. The experimental results and ANOVAs show that DGAs outperform SGA in terms of computation time, while the solution quality is statistically the same. The most effective crossover operators are revealed as IGX and DPX, especially IGX is outstanding to improve solution quality regardless of type of GAs. In the perspective of immigration policy, the proposed competitive policy is slightly superior to the conventional policy when the problem size is large.

Ginseng Conservation Program in Russian Primorye: Genetic Structure of Natural and Cultivated Populations

  • Yu.N. Zhuravlev;O.G. Koren;G.D. Reunova;E.V Artyukova;M.M. Kozyrenko;T.I. Muzarok;I.L. Kats
    • Proceedings of the Ginseng society Conference
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    • 2002.10a
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    • pp.509-521
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    • 2002
  • 'The Regional complex long-term program of restoration (reintroduction) of Primoryes ginseng population up to 2005' elaborated by Primorye governor administration, Regional Committee of Natural Resources and Russian Academy of Sciences operates in Russian Primorye. The Institute of Biology and Soil Science (IBSS) provides the scientific implementation of this program including the genetic analysis of extant ginseng populations, plant reproduction and offspring identification. According to our investigations, the genetic resource of P. ginseng in Primorye is represented by three populations of wild-growing ginseng and a few private plantations. The results obtained by RAPD allowed concluding that this resource is dispersed among the wild and cultivated ginseng sub-populations in such a way that each of sub-populations studied has to be represented in living plant collection as a stock material to maintain species genetic variability. The allozyme analyses also showed that the small sub-populations of natural ginseng are characterized by unique genetic diversity and, therefore, they all need to be represented in reintroduction centers. Additionally the allozyme analysis discovered that the Blue Mountain and Khasan populations possess the most genetic diversity. So, at least one more reproductive ginseng unit has to be created besides two already existing reintroduction centers representing the Sikhote-Alin and the Blue Mountain populations.

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Multimodal Optimization Based on Global and Local Mutation Operators

  • Jo, Yong-Gun;Lee, Hong-Gi;Sim, Kwee-Bo;Kang, Hoon
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1283-1286
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    • 2005
  • Multimodal optimization is one of the most interesting topics in evolutionary computational discipline. Simple genetic algorithm, a basic and good-performance genetic algorithm, shows bad performance on multimodal problems, taking long generation time to obtain the optimum, converging on the local extrema in early generation. In this paper, we propose a new genetic algorithm with two new genetic mutational operators, i.e. global and local mutation operators, and no genetic crossover. The proposed algorithm is similar to Simple GA and the two genetic operators are as simple as the conventional mutation. They just mutate the genes from left or right end of a chromosome till the randomly selected gene is replaced. In fact, two operators are identical with each other except for the direction where they are applied. Their roles of shaking the population (global searching) and fine tuning (local searching) make the diversity of the individuals being maintained through the entire generation. The proposed algorithm is, therefore, robust and powerful.

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Recent advances in breeding and genetics for dairy goats

  • Gipson, Terry A.
    • Asian-Australasian Journal of Animal Sciences
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    • v.32 no.8_spc
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    • pp.1275-1283
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    • 2019
  • Goats (Capra hircus) were domesticated during the late Neolithic, approximately 10,500 years ago, and humans exerted minor selection pressure until fairly recently. Probably the largest genetic change occurring over the millennia happened via natural selection and random genetic drift, the latter causing genes to be fixed in small and isolated populations. Recent human-influenced genetic changes have occurred through biometrics and genomics. For the most part, biometrics has concentrated upon the refining of estimates of heritabilities and genetic correlations. Heritabilities are instrumental in the calculation of estimated breeding values and genetic correlations are necessary in the construction of selection indices that account for changes in multiple traits under selection at one time. Early genomic studies focused upon microsatellite markers, which are short tandem repeats of nucleic acids and which are detected using polymerase chain reaction primers flanking the microsatellite. Microsatellite markers have been very important in parentage verification, which can impact genetic progress. Additionally, microsatellite markers have been a useful tool in assessing genetic diversity between and among breeds, which is important in the conservation of minor breeds. Single nucleotide polymorphisms are a new genomic tool that have refined classical BLUP methodology (biometric) to provide more accurate genomic estimated breeding values, provided a large reference population is available.