• 한국발생생물학회지:발생과생식
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• 제23권2호
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• pp.193-198
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• 2019

Genomic DNA samples were obtained from cultured penaeid shrimp (Penaeus chinensis) individuals such as fresh shrimp population (FSP) and deceased shrimp population (DSP) from Shinan regions in the Korean peninsula. In this study, 233 loci were identified in the FSP shrimp population and 162 in the DSP shrimp population: 33 specific loci (14.2%) in the FSP shrimp population and 42 (25.9%) in the DSP population. A total of 66 (an average of 9.4 per primer) were observed in DSP shrimp population, whereas 55 unique loci to each population (an average of 7.9 per primer) in the FSP shrimp population. The Hierarchical dendrogram extended by the seven oligonucleotides primers indicates three genetic clusters: cluster 1 (FRESH 01, 02, and DECEASED 12, 13, 15, 16, 17, 19, 20, 22) and cluster 2 (FRESH 03, 04, 05, 06, 07, 08, 09, 10, 11, and DECEASED 14, 18, 21). Among the twenty-two shrimp, the shortest genetic distance that exposed significant molecular differences was between individuals 20 and 16 from the DSP shrimp population (genetic distance=0.071), while the longest genetic distance among the twenty-two individuals that established significant molecular differences was between individuals FRESH no. 02 and FRESH no. 04 (genetic distance=0.477). In due course, PCR analysis has revealed the significant genetic distance among two penaeid shrimp populations.

• Asian-Australasian Journal of Animal Sciences
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• 제31권8호
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• pp.1078-1087
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• 2018

Objective: The genetic diversity of the Landrace population, a representative maternal pig breed in Korea, is important for genetic improvement. Previously, the effective population size (Ne) has been used to infer the genetic diversity of a population of interest. In this study, we aimed to use single nucleotide polymorphism (SNP) data to characterize linkage disequilibrium (LD) and the Ne of the Korean Landrace population. Methods: We genotyped 1,128 Landrace individuals from three representative Korean major grand-grand-parent (GGP) farms using the Illumina PorcineSNP60 version2 BeadChip, which covers >61,565 SNPs located across all autosomes and mitochondrial and sex chromosomes. We estimated the expected LD and current Ne, as well as ancestral Ne. Results: In the Korean Landrace population, the mean LD ($r^2$) of 3.698 million SNP pairs was $0.135{\pm}0.204$. The mean $r^2$ decreased slowly with as the distance between SNPs increased, and remained constant beyond 3 Mb. According to the $r^2$ calculations, 8,085 of 3.698 million SNP pairs were in complete LD. The current Ne (${\pm}$standard deviation) of the Korean Landrace population is approximately 92.27 [79.46; 105.07] individuals. The ancestral Ne exhibited a slow and steady decline from 186.61 to 92.27 over the past 100 generations. Additionally, we observed more a rapid Ne decrease from the past 20 to 10 generations ago, compared with other intervals. Conclusion: We have presented an overview of LD and the current and ancestral Ne values in the Korean Landrace population. The mean LD and current Ne for the Korean Landrace population confirm the genetic diversity and reflect the history of this pig population in Korea.

• Journal of the Korean Data and Information Science Society
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• 제20권6호
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• pp.1145-1153
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• 2009

1998년부터 집계된 연령별 주민등록인구통계의 오류는 0세 혹은 출생아가 연령상승에 따라 인구수가 점점 늘어나서 6세 혹은 7세가 되는 해에 인구가 최대가 되고, 6세 혹은 7세 이후로부터 인구가 점차 감소하는 현상이 나타난다는 것이다. 본 연구는 장래의 인구추론에 가장 많은 영향을 미치는 0세-6세의 각 연령별 주민등록인구에서 미래에 1세-7세가 되는 인구를 예측하고, 최대치를 기준으로 0세-6세 인구를 '완전생명표'를 이용하여 0세-6세의 역순으로 역 추정 한다. 결론적으로 0세-6세까지의 제시된 역 추정 인구수는 기존의 인구통계데이터들 보다도 신뢰할 수 있다.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• 제3권4호
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• pp.191-198
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• 2022

Natural habitats of the Korean long-tailed goral (Naemorhedus caudatus) have been fragmented by anthropogenic activities in South Korea in the last decades. Here, the individual identity, genetic variation, and population differentiation of the endangered species were examined via the multiple-tube approach using a non-invasive genotyping method. The average number of alleles was 3.16 alleles/locus for the total population. The Yanggu population (1.66) showed relatively lower average number of alleles than the Inje population (3.67). Of the total 19 alleles, only seven (36.8%) alleles were shared by the two populations. Using five polymorphic out of six loci, four and six different goral individuals from the captive Yanggu (n=24) and the wild Inje (n=28) population were identified, respectively. The allele distribution was not identical between the two populations (Fisher's exact test: P<0.01). A considerably low migration rate was detected between the two populations (no. of migrants after correction for size=0.294). Additionally, the F statistics results indicated significant population differentiation between them, however, quite low (F_ST=0.327, P<0.01). The posterior probabilities indicated that the two populations originated from a single panmictic population (P=0.959) and the assignment test results designated all individuals to both populations with nearly equal likelihood. These could be resulted from moderate population differentiation between the populations. No significant evidence supported recent population bottleneck in the total Korean goral population. This study could provide us with useful population genetic information for conservation and management of the endangered species.

• 응용통계연구
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• 제33권3호
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• pp.347-355
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• 2020

IM 모형(Isolation-with-Migration model; IM model)은 현존하는 집단들의 크기, 그 집단들이 공통 조상 집단으로부터 분리 된 분화 시간, 그리고 현존 집단 간의 이주율을 추정하는 데 널리 사용되는 진화 모형이다. IM 모형과 같은 진화 모형은 그 진화 모형 내 현존 집단으로부터 추출 된 DNA 염기서열을 분석하여 추정할 수 있다. 참인 진화 모형이 데이터가 추출되지 않은 미표본 집단(unsampled population) 혹은 소위 ghost라 불리는 집단을 포함할 때, 종종 이 미표본 집단을 제외한 진화 모델이 추론된다. 본 논문에서는 미표본 집단이 표본집단의 크기 추정에 미치는 영향을 조사하기 위해 모의실험을 수행하였다. 표본집단과 미표본집단 사이에 이주 사건들이 존재하는 경우, 표본집단의 크기의 추정량은 편향되었다. 그러나 미표본집단을 포함한 진화 모델이 추정되면 표본집단의 크기의 추정량은 많은 경우 개선되었다.

• 농촌계획
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• 제29권3호
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• pp.15-24
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• 2023

The sense of crisis regarding regional extinction due to low birth rates and an aging population is expanding. Generally, the local extinction index is used to analyze local extinction. However, it is challenging to diagnose the actual situation of village extinction risk in rural areas, even though the regional extinction index can be analyzed in units such as Si-Gun-Gu and Eup-Myeon-Dong. This difficulty arises because the regional extinction index solely relies on natural population growth indicators (elderly population and female population aged 20-39). Therefore, the purpose of this study is to develop a village extinction index that can identify the disappearance of rural villages. Additionally, the aim is to apply the developed indicators to the village (administrative ri) spatial unit. The existing regional extinction index used only mortality-related indicators as factors for natural population decline and fertility-related indicators as factors for natural population growth. However, the developed village extinction index included not only the factors of natural population change but also incorporated social population growth factors and factors related to the pace of village extinction. This is the key difference between the developed village extinction index and the existing regional extinction index. In this study, the indicators of "total population," "number of young women aged 20-44," "number of elderly population aged 70 or older," and "number of incoming population" were selected to develop a village extinction index. The village extinction index was developed by incorporating both natural population growth indicators and social population growth indicators. The developed village extinction index was applied to administrative villages. This research is expected to provide a more accurate understanding of the current state of rural villages facing extinction.

• 대한지리학회지
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• 제38권
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• pp.61-74
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• 1988

Changing patterns of population densities in urban centers are different between Western countries and non-Western countries. Although Seoul is located in a non-Western country, the result of this study shows that its pattern of population density falls into the category of Western cities. Through the examination of three population density gradient models, it is clear that no model can precisely explain the population distribution of Seoul over time. Some of the models partly indicate the actual population distrisbution. The Clark model is appropriate to denote population distribution in the center of Seoul at an early stage in development. The Sherratt model cannot adequately explain the population distribution of Seoul.

• 한국병원경영학회지
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• 제18권2호
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• pp.15-32
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• 2013

Few public health researchers have paid research attention to the location of medical institutions in Korea. Previous studies were published in geography journals, and relied on limited data in terms of geographic regions and the type of medical institutions. This study utilized nationwide data covering 8 types of medical institutions. We obtained data from Health Insurance Review and Assessment Service and National Population and Housing Census. The correlation coefficients of resident, daytime, university-graduate population, and the population of different age groups (fewer than 15, 15~64, 65 or more) were compared to understand their relative association with the location of medical institutions. Medical clinic, dental clinic, oriental medical clinic, and pharmacy, all of which are almost completely operated by private sector, showed strong positive correlation with population. Hospital-level medical institutions, which are operated by both public and private sector, had moderate positive correlation. Daytime population and university-graduate population, rather than resident population, were more correlated with the location of medical clinics. The correlation coefficients of the population of 15~64 age group and the location of medical institutions were greater than that of other age groups. The results showed that daytime and university-graduate population are more important than resident population to explain the location of medicalrelated facilities. The results also suggests that the population of age groups (especially, 15~64) might be one of important influence factors in the location of medical institutions.

• Animal cells and systems
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• 제16권1호
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• pp.41-49
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• 2012

Eighteen new polymorphic microsatellite markers were developed for the Korean mi-iuy croaker ($Miichthys$ $miiuy$, Perciformes, Sciaenidae), and allelic variability was compared between a wild population in Mokpo, Korea, and a hatchery population in Tongyeong, Korea. All loci were amplified readily and demonstrated allelic variability, with the number of alleles ranging from 5 to 37 in the wild population, and from 4 to 12 in the farmed population. The average observed and expected heterozygosities were estimated, respectively, to be 0.74 and 0.78 in the hatchery population samples, and 0.79 and 0.86 in the wild samples. These results indicate lower genetic variability in the hatchery population compared with the wild population, and significant genetic differentiation between the wild population and the hatchery samples ($F_{ST}$=0.058, P<0.001). These microsatellite loci may be valuable for future population genetic studies, monitoring changes in the genetic variation within stocks in a commercial breeding program, conservation genetics, and molecular assisted selective breeding of the mi-iuy croaker in the future.

• 한국지역지리학회지
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• 제6권2호
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• pp.1-19
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• 2000

본 연구는 중부지역의 중심지로 발전하고 있는 대전광역시를 대상으로 노령화 지구의 공간적 분포 패턴을 분석하고자 하였다. 그 결과 노령화 지구는 대전광역시 CBD지역과 CBD인접지역, 그리고 주변지역간에 뚜렷한 차이를 나타내고 있으며, 그 분포에 있어서도 양극화 현상이 뚜렷함을 확인하였다. 그리고 인구감소지구는 노령화지구와 대체로 중복되어 있고, 비노령인구의 전출에 의하여 노령인구비율이 높아지고 있으며, 인구증가지구는 노령화 지구와 전혀 중복되어 나타나지 않고, 비노령인구의 전입에 의해 노령인구비율이 낮아지고 있다. 인구이동에 의한 노령인구의 증가여부를 확인하기 위하여 각 그룹별로 연령 코호트 분석방법을 이용하여 노령화 지구의 출현요인을 분석한 결과, 인구노령화의 진행 은 인구의 사회적 증감률 변화와 매우 밀접하게 관련되어 있고, 특히 비노령인구의 전출에 의해 노령인구비율이 높아지고 있음을 확인할 수 있었다. CBD지역과 CBD인접지역을 포함한 중심시가지에서는 결혼, 새로운 주택취득에 의한 세대분리 등의 전출, 즉, 비노령인구의 전출이 인구노령화를 촉진하는 주요인이 되고 있고, 반면 주변지역에서는 비노령인구의 지구의로의 전출뿐 아니라 새롭게 노령인구로 편입되어져 가는 연령층 인구와 사망률의 저하에 따른 평균수명의 연장으로 인한 노령인구의 절대적 증대가 인구노령화를 촉진하는 요인으로 작용하고 있다.