• Journal of Life Science
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• v.29 no.12
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• pp.1314-1320
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• 2019

This study aimed to identify single nucleotide polymorphisms in exon 8 region of the calmin (CLMN) gene and to evaluate their associations with meat yield and quality traits in Hanwoo (Korean cattle). We compared gene expression pattern of CLMN between high and low marbling score groups with extremely different intramuscular fat content of the longissimus lumborum muscles in Hanwoo. The CLMN gene was highly expressed in the high marbling score group. Total of nine SNPs were identified in the exon 8 region of CLMN gene, genotyping of the SNPs was carried out using direct-sequencing analysis in Hanwoo population (n=300) to evaluate their association with meat yield and quality traits. As a result, g.23249G>C in exon 8 was significantly associated with marbling score. Animals with the CC and GC genotypes had higher marbling score than those with the GG genotype. We constructed haplotypes of CLMN gene by linkage disequilibrium analysis and analyzed association between haplotypes and meat yield and quality traits. Haplotype of CLMN gene was associated with marbling score. As a result, animals with the CC-CC haplotype (g.23249G>C and g.23465T>C SNPs) had higher marbling score than those with CT and GT haplotypes. These findings suggest that the SNPs of bovine CLMN gene may be a useful molecular marker for selection of meat quality traits in Hanwoo.

• Korean Journal of Agricultural Science
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• v.37 no.2
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• pp.231-238
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• 2010

There is no investigation has yet been conducted for ACOX1 and CSRP3 gene polymorphisms in Korean cattle (Hanwoo), and their associations with carcass and meat quality traits. In this study, SNPs in ACOX1 and CSRP3 genes were identified and their associations with carcass and meat quality traits were investigated in 227 Hanwoo animals. Two SNPs (g.224G> A and g.19491G>A) in ACOX1 gene and one SNP (g.14859C>T) in CSRP3 gene were identified in Hanwoo and sequence analysis indicated that these SNPs were located in the coding regions. The allele frequencies of ACOX1 g.224G>A and g.19491G>A SNPs were 0.57, 0.43, and 0.56 and 0.44, respectively, For CSRP3 g.14859C>T polymorphism, the C and T allele frequencies were 0.64 and 0.36, respectively. The Hanwoo cattle were used to detect PCR-RFLP patterns for estimating the allele frequencies. Single marker association analyses were performed between genotype of each SNP, and carcass and meat quality association traits to evaluate the relationships in Hanwoo. The g.224G>A SNP genotypes of ACOX1 gene, which was significantly associated with meat quantity grade at slaughter (P<0.03) and backfat thickness tended to be greater (P=0.06) in Hanwoo. The previously identified g.14859C>T SNP was used in this study and the obtained genotype and allele frequencies are almost similar with the previous results reported by Bhuiyan et al. (2007). However, no significant association was found between g.19491G>A SNP in the ACOX1 and g.14859C>T SNP genotypes of CSRP3 gene and considered carcass and meat quality traits. In conclusion, the information on the identified SNPs in CSRP3 and ACOX1 genes could be useful for further association study and haplotype analysis for the development of carcass and meat quality traits in Hanwoo.

• Journal of Life Science
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• v.29 no.5
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• pp.524-529
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• 2019

Medicinal plants resources are becoming important assets since their usages have been expanded to the development of functional foods for human health, cosmetics and pharmaceutical industries. However, their phylogenetic origins and names are different from each country and quite often they are mixed each other resulting in the confusion for consumers. Particularly when they are very similar based on their morphological characteristics and distributed, it is extremely difficult to differentiate their origins even by specialists. Therefore, identification of each plant species is important for standardizing herbal medicine. Thistle is a medicinal and perennial plant. Obtaining information about the genetic diversity of plant populations is highly important for conservation and germplasm utilization. Although thistle is an important medicinal plant species registered in South Korea, no molecular markers are currently available to distinguish from other similar species from different countries. In this study, we developed single nucleotide polymorphism (SNP) markers derived from chloroplast genomic sequences to identify distinct Korean-specific thistle species via high resolution melting (HRM) curve analyses. We performed molecular authentication of four different kinds of thistle species from different regions using DNA sequences in the trnL-F and matK chloroplast intergenic region. The SNP markers developed in this study are useful for rapidly identifying specific thistle species from different country.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.65 no.4
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• pp.447-456
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• 2020

Peanut is an allotetraploid derived from a single recent polyploidization. Polyploidization has been reported to have caused significant loss in genetic diversity during the domestication of cultivated peanuts. Single nucleotide polymorphism (SNP)-based markers such as cleaved amplified polymorphic sequences (CAPS) derived from next-generation sequencing (NGS) have been developed and widely applied for breeding and genetic research in peanuts. This study aimed to identify the genetic diversity and population structure using 30 CAPS markers and 96 peanut accessions from five different origins. High genetic dissimilarities were detected between the accessions from Korea and those from the other three South American origins generally regarded as the origin of peanuts, while the accessions from Brazil and Argentina presented the lowest genetic dissimilarity. Based on the results of the present study, accessions from Korea have unique genetic variation compared to those from other countries, while accessions from the other four origins are closely related. Our study identified the genetic differentiation in 96 peanut accessions from five different origins, and this study also showed the successful application of SNP information derived from re-sequencing based on NGS technology.

• Journal of Plant Biotechnology
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• v.47 no.2
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• pp.124-130
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• 2020

The sweet potato (Ipomoea batatas [L.] Lam.) is the sixth-most important crop in the world following rice, wheat, potato, maize, and cassava. Four varieties ('Beniharuka', 'Annobeni', 'Pungwonmi', 'Hogammi') and their Japanese cultivars are broadly distributed in South Korea. In the Korean marketplace, sweet potatoes are classified by color and shape, not by variety, making it necessary to differentiate varieties for uniform production and consumption. In this study, molecular markers were developed to distinguish the four varieties of sweet potato using SNPs and genotyping-by-sequencing (GBS) analysis via a tetra-primer amplification refractory mutation system (ARMS)-PCR. The results revealed that three variety-specific fragments (164 bp and 241 bp of SNP 04-27457768 and 292 bp of SNP 03-16195623) were amplified in the 'Beniharuka', 'Pungwonmi', and 'Annobeni' sweet potato varieties. There were instances where some varieties produced three bands within the gel electrophoresis, indicating heterozygosity at the given SNPs loci. DNA sequencing analysis also confirmed the results of electrophoresis at the SNPs loci. Overall, these molecular markers would provide a useful, rapid, and, simple evaluation method for the Korean sweet potato marketplace, where the mixing of varieties is a serious issue.

• Journal of Plant Biotechnology
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• v.5 no.4
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• pp.193-195
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• 2003

A major goal of agricultural biotechnology is the discovery of genes or genetic loci which are associated with characteristics beneficial to crop production. This knowledge of genetic loci may then be applied to improve crop breeding. Agriculturally important genes may also benefit crop production through transgenic technologies. Recent years have seen an application of high throughput technologies to agricultural biotechnology leading to the production of large amounts of genomic data. The challenge today is the effective structuring of this data to permit researchers to search, filter and importantly, make robust associations within a wide variety of datasets. At the Plant Biotechnology Centre, Primary Industries Research Victoria in Melbourne, Australia, we have developed a series of tools and computational pipelines to assist in the processing and structuring of genomic data to aid its application to agricultural biotechnology resear-ch. These tools include a sequence database, ASTRA, for the processing and annotation of expressed sequence tag data. Tools have also been developed for the discovery of simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) molecular markers from large sequence datasets. Application of these tools to Brassica research has assisted in the production of genetic and comparative physical maps as well as candidate gene discovery for a range of agronomically important traits.

• Korean Journal of Veterinary Research
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• v.47 no.4
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• pp.457-460
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• 2007

The objective of the study was to establish routine parentage testing system in Beagle dogs using 22 ISAG (International Society for Animal Genetics) canine microsatellite markers (2005). Blood collections were obtained from a mother dog, 4 candidate father dogs and 3 offspring (n = 8). Genomic DNA samples were extracted from 8 Beagle dogs blood for PCR analysis. PCR products for the allele were analyzed by ABI 3130 DNA Sequencer and GeneScan (Ver 3.0) analysis and Genotyper (Ver. 2.1) software. The genetic relationship of mother and 3 offspring as well as one father dog among 4 candidate father dogs was confirmed by microsatellite allele analysis. The results of locus for amelogenin, which was designed for sexing, were matching with real gender among 8 Beagle dogs (female; 217/217 homozygosity, male; 179/217 heterozygosity). Twenty two ISAG microsatellite markers are useful the parentage test of Beagle dogs. In addition, amelogenin is an applicable marker to detecting real sex in dogs.

• Asian-Australasian Journal of Animal Sciences
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• v.24 no.11
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• pp.1525-1528
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• 2011

The purpose of this study was to detect SNPs that were responsible for a carcass trait in Hanwoo populations. A non-parametric model applying a restricted partition method (RPM) was used, which exploited a partitioning algorithm considering statistical criteria for multiple comparison testing. Phenotypic and genotypic data were obtained from the Hanwoo Improvement Center, National Agricultural Cooperation Federation, Korea, in which the pedigree structure comprised 229 steers from 16 paternal half-sib proven sires that were born in Namwon or Daegwanryong livestock testing station between spring of 2002 and fall of 2003. A carcass trait, longissimus dorsi muscle area for each steer was measured after slaughter at approximately 722 days. Three SNPs (19_1, 18_4 and 28_2) near the microsatellite marker ILSTS035 on BTA6, around which the quantitative trait loci (QTL) for meat quality were previously detected, were used in this study. The RPM analyses resulted in two significant interaction effects between SNPs (19_1 and 18_4) and (19_1 and 28_2) at ${\alpha}$ = 0.05 level. However, under a general linear (parametric) model no interaction effect between any pair of the three SNPs was detected, while only one main effect for SNP19_1 was found for the trait. Also, under another non-parametric model using a multifactor dimensionality reduction (MDR) method, only one interaction effect of the two SNPs (19_1 and 28_2) explained the trait significantly better than the parametric model with the main effect of SNP19_1. Our results suggest that RPM is a good alternative to model choices that can find associations of the interaction effects of multiple SNPs for quantitative traits in livestock species.

• Journal of Plant Biotechnology
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• v.39 no.1
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• pp.49-61
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• 2012

This review summarises the biology, discovery and applications of single nucleotide polymorphisms in complex polyploid crop genomes, with a focus on the important oilseed crop $Brassica$ $napus$. $Brassica$ $napus$ is an allotetraploid species, and along with soybean and oil palm is one of the top three most important oilseed crops globally. Current efforts are well underway to $de$ $novo$ assemble the $B.$ $napus$ genome, following the release of the related $B.$ $rapa$ 'A' genome last year. The next generation of genome sequencing, SNP discovery and analysis pipelines, and the associated challenges for this work in $B.$ $napus$, will be addressed. The biological applications of SNP technology for both evolutionary and molecular geneticists as well as plant breeders and industry are far-reaching, and will be invaluable to our understanding and advancement of the $Brassica$ crop species.

• Journal of Animal Science and Technology
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• v.58 no.1
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• pp.1.1-1.6
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• 2016

Background: Genotype imputation is an important process of predicting unknown genotypes, which uses reference population with dense genotypes to predict missing genotypes for both human and animal genetic variations at a low cost. Machine learning methods specially boosting methods have been used in genetic studies to explore the underlying genetic profile of disease and build models capable of predicting missing values of a marker. Methods: In this study strategies and factors affecting the imputation accuracy of parent-offspring trios compared from lower-density SNP panels (5 K) to high density (10 K) SNP panel using three different Boosting methods namely TotalBoost (TB), LogitBoost (LB) and AdaBoost (AB). The methods employed using simulated data to impute the un-typed SNPs in parent-offspring trios. Four different datasets of G1 (100 trios with 5 k SNPs), G2 (100 trios with 10 k SNPs), G3 (500 trios with 5 k SNPs), and G4 (500 trio with 10 k SNPs) were simulated. In four datasets all parents were genotyped completely, and offspring genotyped with a lower density panel. Results: Comparison of the three methods for imputation showed that the LB outperformed AB and TB for imputation accuracy. The time of computation were different between methods. The AB was the fastest algorithm. The higher SNP densities resulted the increase of the accuracy of imputation. Larger trios (i.e. 500) was better for performance of LB and TB. Conclusions: The conclusion is that the three methods do well in terms of imputation accuracy also the dense chip is recommended for imputation of parent-offspring trios.