• Korean Journal of Plant Resources
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• v.28 no.5
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• pp.648-655
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• 2015

Balloon flower (Platycodon grandiflorum A. DC.) is a perennial plant of mainly Campanulaceae family, which have been widely used as a food ingredient and herbal medicine in East Asia. Although demands on related products and yearly cultivation area for balloon flower are increasing, diverse fundamental technologies and molecular breeding studies are not very well supported in Platycodons. In this study, 30 random amplification of polymorphic DNA (RAPD) primers were test in an attempt to explore genetic diversities. In addition, sequences information of the actin gene, a well conserved gene encoding a globular protein that forms microfilaments, was retrieved and analyzed. Two actin homologs were recovered; 3.4 kb fragment is a Pg-actin and 1.4 kb fragment is a Pg-actin homolog with 28.6% similarity. We have confirmed that the Pg-actin gene is configured into 4 exons and 3 introns. A single nucleotide polymorphism (SNP), G↔A, was detected on the intron 3, which served as a target for the CAPS marker development. The marker Pg-Actin-Int3 was applied to 32 balloon flower accessions. Balloon flower DNA sequence information generated in this study is expected to contribute to the analysis and molecular breeding and genetic diversity analysis of balloon flowers.

• Korean Journal of Poultry Science
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• v.41 no.1
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• pp.29-37
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• 2014

The Feather Color of chicken is considered as most obvious, and the purpose of this study is to identify the genotype following the SNP of MC1R, MITF and TYRP1, which are genes related to Feather Color, and develop a SNP marker that can be classified per breed. When a haplotype is observed through the combination of markers, a Korean Native Chicken can especially be distinguished when it is a CGG type in the SNP combination of the MC1R gene. In case of the TAG, TGG and TAA types, only Araucana was identified, and for the CAA type, Leghorn could specifically be distinguished. In the SNP combination of TYRP1 gene, only Leghorn was differentiated in case of the TTTCA and CCTCA types, and only Silky Fowl was identified in case of the CTTTA type. The SNP combination of MC1R gene enabled for Korean Native Chicken, Leghorn, and Araucana to be distinguished and each of the SNP and combination of TYRP1 gene allowed for all 4 breeds to be classified. If many researches are conducted about genetic polymorphism between breeds, then it is considered that the differences between breeds will be understood from a molecular biological aspect instead of simply distinguishing the breeds through Feather Color.

• Asian-Australasian Journal of Animal Sciences
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• v.24 no.2
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• pp.162-172
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• 2011

In this paper, simulation was used to determine accuracies of genomic breeding values for polygenic traits associated with many thousands of markers obtained from high density genome scans. The statistical approach was based upon stochastically simulating a pedigree with a specified base population and a specified set of population parameters including the effective and noneffective marker distances and generation time. For this population, marker and quantitative trait locus (QTL) genotypes were generated using either a single linkage group or multiple linkage group model. Single nucleotide polymorphism (SNP) was simulated for an entire bovine genome (except for the sex chromosome, n = 29) including linkage and recombination. Individuals drawn from the simulated population with specified marker and QTL genotypes were randomly mated to establish appropriate levels of linkage disequilibrium for ten generations. Phenotype and genomic SNP data sets were obtained from individuals starting after two generations. Genetic prediction was accomplished by statistically modeling the genomic relationship matrix and standard BLUP methods. The effect of the number of linkage groups was also investigated to determine its influence on the accuracy of breeding values for genomic selection. When using high density scan data (0.08 cM marker distance), accuracies of breeding values on juveniles were obtained of 0.60 and 0.82, for a low heritable trait (0.10) and high heritable trait (0.50), respectively, in the single linkage group model. Estimates of 0.38 and 0.60 were obtained for the same cases in the multiple linkage group models. Unexpectedly, use of BLUP regression methods across many chromosomes was found to give rise to reduced accuracy in breeding value determination. The reasons for this remain a target for further research, but the role of Mendelian sampling may play a fundamental role in producing this effect.

• Journal of Animal Science and Technology
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• v.53 no.1
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• pp.1-6
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• 2011

This simulation study was performed to investigate the accuracy of the estimated breeding value by using genomic information (GEBV) by way of Bayesian framework. Genomic information by way of single nucleotide polymorphism (SNP) from a chromosome with length of 100cM were simulated with different marker distance (0.1cM, 0.5cM), heritabilities (0.1, 0.5) and half sibs families (20 heads, 4 heads). For generating the simulated population in which animals were inferred to genomic polymorphism, we assumed that the number of quantitative trait loci (QTL) were equal with the number of no effect markers. The positions of markers and QTLs were located with even and scatter distances, respectively. The accuracies of estimated breeding values by way of indicating correlations between true and estimated breeding values were compared on several cases of marker distances, heritabilities and family sizes. The accuracies of breeding values on animals only having genomic information were 0.87 and 0.81 in marker distances of 0.1cM and 0.5cM, respectively. These accuracies were shown to be influenced by heritabilities (0.87 at $h^2$ =0.10, 0.94 at $h^2$ =0.50). According to half sibs' family size, these accuracies were 0.87 and 0.84 in family size of 20 and 4, respectively. As half sibs family size is high, accuracy of breeding appeared high. Based on the results of this study it is concluded that the amount of marker information, heritability and family size would influence the accuracy of the estimated breeding values in genomic selection methodology for animal breeding.

• Journal of the Korean Society of Tobacco Science
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• v.30 no.2
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• pp.85-93
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• 2008

This report describes a set of seven informative single-nucleotide polymorphisms (SNPs) and one insertion-deletion (INDEL) distributed over 24 cultivars that can be used for tobacco (Nicotiana tabacum L.) cultivar identification. We analyzed 163,000 genomic DNA sequences downloaded from Tobacco Genome Initiative database and assembled 31,370 contigs and 60,000 singletons. Using relatively long contigs, we designed primer sets for PCR amplification. We amplified 61 loci from 24 cultivars and sequenced the PCR products. We found seven significant SNPs and one INDEL among the sequences and we classified the 24 cultivars into 10 groups. SNP frequency of tobacco, 1/8,380 bp, was very low in comparison with those of other plant species, between 1/46 bp and 1/336 bp. For exact identification of tobacco cultivars, many more SNP markers should be developed. This study is the first attempt to identify tobacco cultivars using SNP markers.

• Asian-Australasian Journal of Animal Sciences
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• v.25 no.1
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• pp.28-32
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• 2012

In the present study, we evaluated the informativeness of SNPs genotyped by the Illumina Bovine SNP50K assay in different cattle breeds. To investigate these on a genome-wide scale, we considered 52,678 SNPs spanning the whole autosomal and X chromosomes in cattle. Our study samples consists of six different cattle breeds. Across the breeds approximately 72 and 6% SNPs were found polymorphic and fixed or close to fix in all the breeds, respectively. The variations in the average minor allele frequency (MAF) were significantly different between the breeds studied. The level of average MAF observed in Hanwoo was significantly lower than the other breeds. Hanwoo breed also displayed the lowest number of polymorphic SNPs across all the chromosomes. More importantly, this study indicated that the Bovine SNP50K assay will have reduced power for genome-wide association studies in Hanwoo as compared to other cattle breeds. Overall, the Bovine SNP50K assay described in this study offer a useful genotyping platform for mapping quantitative trait loci (QTLs) in the cattle breeds. The assay data represent a vast and generally untapped resource to assist the investigation of the complex production traits and the development of marker-assisted selection programs.

• Korean Journal of Agricultural Science
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• v.46 no.1
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• pp.27-31
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• 2019

It is well documented that intensive selection in dairy cattle for economic value such as increased milk yield led to a decline in reproductive performance. Recent studies using genome-wide association studies (GWASs) discovered candidate genes involved in the lower fertility including embryo development and conception rates. However, the information, which showed a lower reproductive performance, is limited to dairy cattle, especially Holstein, and the candidate genes were not examined in the Korean native cattle Hanwoo which has been intensively selected and bred for meat in the last few decades. We selected the candidate genes WBP1 and PARM1 reported to be associated with cow and/or heifer conception in dairy cattle and analyzed the genotype because those genes have non-synonymous single nucleotide polymorphisms (SNPs). To determine the single base change, we used the high resolution melting (HRM) assay which is rapid and cost-effective for a small number of genes. We found that most heifers with higher conception (1: service per conception) have the AA genotype coding Threonine rather than Proline in the WBP1 gene. We did not detect an association for a SNP in PARM1 in our analysis. In conclusion, the genetic variation of WBP1 can be used as a selective marker gene to improve reproductive performance, and HRM assay can be used to identify common SNP genotypes rapidly and cost effectively.

• Proceedings of the Korean Society of Crop Science Conference
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• 2006.04a
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• pp.82-83
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• 2006

• Proceedings of the Korean Society of Crop Science Conference
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• 2004.04a
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• pp.52-53
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• 2004

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.04a
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• pp.104-104
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• 2022