• Reproductive and Developmental Biology
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• v.36 no.3
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• pp.183-188
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• 2012

The bovine fatty acid binding protein 4 and 5 (FABP4 and 5) is a major positional and physiological candidate gene for the bovine marbling and carcass weight. The aim of this study was to evaluate the association between economic traits of Korean cattle (Hanwoo) and genetic variation in fatty acid binding protein 4 and 5 (FABP4 and 5) genes within carcass/meat quality traits and the before/after of fatting in breed Hanwoo. Here, we characterized the nucleotide polymorphism of FABP4 and 5 in 86 cattle. We were detected the variability of three types (GG, AG, and AA) by PCR, and economic traits were analyzed by the mixed regression model implemented in the ASReml program. As the result of statistical and supersonic analysis, FABP4 gene was highly showed significant effect (p<0.006) on marbling score (MS), in contrast FABP5 gene was lowed (p<0.084) on MS before fatting. But, FABP4 gene was highly showed significant effect (p<0.0054) on MS, in contrast FABP5 gene lowest (p<0.0899) on MS in the after of fatting. Compare to supersonic result before fatting in FABP4 gene, it was detected type GG: (p<7.18), AG: (p<8.50), and AA: (p<10.50) (n=50), showed type GG: (p<4.88), AG: (p<2.33), and AA: (p<0.00) after weed out (n=20). Futhermore, it was detected type GG: (p<9.30), AG: (p<7.95), and AA: (p<7.40) (n=50) before fatting in the FABP5 gene. It was shown type GG: (p<2.67), AG: (p<3.50), and AA: (p<5.00) after weed out (n=50). Our results indicate that FABP4 and 5 gene transcription is regulated by the environment of feeding and management, and suggest that feeding and management could be potential key in determining FABP4 and 5 genes transcription for carcass/meat quality traits in breed Hanwoo.

• Journal of Life Science
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• v.20 no.7
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• pp.1086-1092
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• 2010

To estimate the genetic characteristics and cumulative power of discrimination (CPD) within Korean native commercial chicken, we used a total of 395 genomic DNAs from six breeds population (Korean Native Red chicken: R, Korean Native Yellow chicken: Y, Korean native Commercial Chicken: C, Ogal chicken: S, Hy-Line Brown: H, White Leghorn: W). Genetic diversity indices including mean allele number among loci, unbiased heterozygosity ($h_i$) within locus, effective number of alleles ($N_e$) and polymorphism information content (PIC) as well as the unbiased average heterozygosity (H) among loci in the populations were calculated using the generated allele frequencies by each marker. Frequencies of microsatellites markers were used to estimate heterozygosities and genetic distances. The nearest distance (0.119) was observed between the C and Y strains. The generated unbiased average heterozygosity among loci in each population was integrated to the global formula of CPD and the result demonstrated that the CPD within the six chicken populations was 99.461%.

• Korean Journal of Poultry Science
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• v.45 no.3
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• pp.229-236
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• 2018

The aim of this study was to evaluate the genetic diversity and relationships of Ogye populations in Korea. A total of 243 genomic DNA samples from 6 Ogye population (Yeonsan Ogye; YSO, Animal Genetic Resources Research Center Ogye; ARO, Chungbuk Ogye; CBO, Chungnam Ogye; CNO, Gyeongbuk Ogye; GBO, Seoul National University Ogye; SUO) and 3 introduced chicken breeds (Rhode Island Red; RIR, White Leghorn; LG, Cornish; CN) were used. Sizes of 25 microsatellite markers were decided using GeneMapper Software(v 5.0) after analyzing ABI 3130XL. A total of 153 alleles were observed and the range was 2 to 10 per each locus. The mean of expected and observed heterozygosity and PIC (Polymorphism Information Content) value was 0.53, 0.50, 0.46 respectively. The lowest genetic distance (0.073) was observed between YSO and SUO, and the highest distance (0.937) between the RIR and CBO. The results of clustering analysis suggested 3 clusters (${\Delta}K=7.96$). Excluding GBO population, 5 Ogye populations (YSO, ARO, CBO, CNO, SUO) were grouped in same cluster with high genetic uniformity (0.990, 0.979, 0.989, 0.994, 0.985 respectively). But GBO population was grouped in cluster 1 with low genetic uniformity (0.340). The results of this study can be use to basic data for the genetic evaluation and management of Ogye populations in Korea.

• Journal of Life Science
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• v.22 no.11
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• pp.1493-1499
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• 2012

The level of genetic variation and relationships in three native Korean goat populations (Dangjin, Jangsu, and Tongyeong) as well as the populations of a farm were analyzed, based on 30 microsatellite markers. A total of 277 distinct alleles were observed across the four goat populations, and 102 (36.8%) of these alleles were unique to only one population. The mean observed heterozygosity and polymorphism information content were calculated as 0.461~0.651 and 0.462~0.679, respectively. In the NJ tree constructed based on Nei's $D_A$ genetic distance, the four populations represented four distinct groups. However, the genetic distances between each Korean native goat population and the farm population were two times those among the three native Korean breeds. The genetic structure within the three Korean native goat populations was also investigated. Cluster analysis, using the STRUCTURE software, suggested three clusters. The molecular information of genetic diversity and relationships in this study will be useful for the evaluation, conservation, and utilization of native Korean goat breeds as genetic resources.

• Journal of Life Science
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• v.18 no.10
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• pp.1442-1446
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• 2008

Seven populations of 586 Hanwoo have been characterized by using 10 microsatellite DNA markers. Size of microsatellite markers decided using GeneMapper Software (v.4.0) after analyze in kinds of ABI machine of name of 3130. Frequencies of microsatellites markers were used to estimate heterozygosities and genetic distances. Genetic distancesbetween populations were obtained using Ne's DA distance method. Expected heterozygosity between each population was estimated very analogously. Genetic distances (0.0413) between Kangwan (KW) and Gyonggi (GG), Jeonpuk (JP) were nearest than distances between other populations by 0.021. Genetic distances between Gyonggi (GG) and Kyongpuk (KP) showed far distance than other populations by 0.032. In the UPGMA tree that is made based on DA distance matrix. Each individuals were not ramified to different group and were spread evenly in phylogenetic dendrogram about all Hanwoo of each regional area populations. But Hanwoo proven population was ramified to different group.

• Korean Journal of Poultry Science
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• v.46 no.2
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• pp.65-75
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• 2019

A number of Korean native chicken(KNC) populations were registered in FAO (Food and Agriculture Organization) DAD-IS (Domestic Animal Diversity Information Systems, http://www.fao.org/dad-is). But there is a lack of scientific basis to prove that they are unique population of Korea. For this reason, this study was conducted to prove KNC's uniqueness using 25 Microsatellite markers. A total of 548 chickens from 11 KNC populations (KNG, KNB, KNR, KNW, KNY, KNO, HIC, HYD, HBC, JJC, LTC) and 7 introduced populations (ARA: Araucana, RRC and RRD: Rhode Island Red C and D, LGF and LGK: White Leghorn F and K, COS and COH: Cornish brown and Cornish black) were used. Allele size per locus was decided using GeneMapper Software (v 5.0). A total of 195 alleles were observed and the range was 3 to 14 per locus. The MNA, $H_{\exp}$, $H_{obs}$, PIC value within population were the highest in KNY (4.60, 0.627, 0.648, 0.563 respectively) and the lowest in HYD (1.84, 0.297, 0.286, 0.236 respectively). The results of genetic uniformity analysis suggested 15 cluster (${\Delta}K=66.22$). Excluding JJC, the others were grouped in certain cluster with high genetic uniformity. JJC was not grouped in certain cluster but grouped in cluster 2 (44.3%), cluster 3 (17.7%) and cluster8 (19.1%). As a results of this study, we can secure a scientific basis about KNC's uniqueness and these results can be use to basic data for the genetic evaluation and management of KNC breeds.

• ANNALS OF ANIMAL RESOURCE SCIENCES
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• v.29 no.4
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• pp.142-149
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• 2018

In this study, 844 Hanwoo proven bulls in South Korea (called KPN) were classified into 8 groups based on their birth year. Microsatellite (MS) marker information for paternity identification of each individual is provided at the homepage of the National Agricultural Cooperation Federation, Korea (NACF) and is mainly for the analysis of genetic diversity and structural changes. The polymorphism analysis of KPN whole groups revealed the average number of alleles in each marker (number of alleles), the expected heterozygosity ($H_{ex}$), the observed heterozygosity ($H_{ob}$), the polymorphism information content (PIC) and the $F_{is}$ mean as 10.54, 0.764, 0.773, 0.727 and -0.014, respectively. For group D, with the birth year 2004-2005, the $H_{ex}$ and $H_{ob}$ were 0.777 and 0.792 respectively and the PIC was 0.740. The $H_{ex}$ of group C and D, with birth years 2003-2004 and 2007-2008, respectively, were greater than $H_{ob}$. In all the other groups, $H_{ob}$ was greater than $H_{ex}$. Genetic composition and structure were analyzed using STRUCTURE software. According to the analyzed results, the generation of Hanwoo groups showed changes in specific genetic components according to the flow. It was confirmed that the continuous improvement in the Hanwoo affects the genetic structure of the proven bulls group. The results of this study are expected to be used for enhancing the efficiency of Hanwoo improvement project.

• Journal of Life Science
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• v.23 no.11
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• pp.1325-1335
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• 2013

Working dogs, such as rescue dogs, military watch dogs, guide dogs, and search dogs, are selected by in-training examination of desired traits, including concentration, possessiveness, and boldness. In recent years, genetic information has been considered to be an important factor for the outstanding abilities of working dogs. To characterize the molecular features of the canine genes related to phenotypes for working dogs, we investigated the 24 previously reported genes (AR, BDNF, DAT, DBH, DGCR2, DRD4, MAOA, MAOB, SLC6A4, TH, TPH2, IFT88, KCNA3, TBR2, TRKB, ACE, GNB1, MSTN, PLCL1, SLC25A22, WFIKKN2, APOE, GRIN2B, and PIK3CG) that were categorized to personality, olfactory sense, and athletic/learning ability. We analyzed the chromosomal location, gene-gene interactions, Gene Ontology, and expression patterns of these genes using bioinformatic tools. In addition, variable numbers of tandem repeat (VNTR) or microsatellite (MS) polymorphism in the AR, MAOA, MAOB, TH, DAT, DBH, and DRD4 genes were reviewed. Taken together, we suggest that the genetic background of the canine genes associated with various working dog behaviors and skill performance attributes could be used for proper selection of superior working dogs.