• Asian-Australasian Journal of Animal Sciences
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• 제24권6호
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• pp.744-751
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• 2011

Meat production and quality traits in beef cattle are largely affected by genetic factors. Acetyl-Coenzyme A carboxylase-${\alpha}$ (ACACA) plays a key role in the regulation and metabolism of fatty acid biosynthesis in mammalian animals. The gene encoding ACACA enzyme was chosen as a candidate gene for carcass and meat traits. In this study, we investigated effects of single nucleotide polymorphisms (SNPs) in the ACACA gene on beef carcass and meat traits in Hanwoo (Korean cattle) populations. We have sequenced a fragment of intron I region of the Hanwoo ACACA gene and identified two SNPs. Genotyping of the two SNP markers (g.2344T>C and g.2447C>A) was carried out using PCR-SSCP analysis in 309 Hanwoo steers to evaluate their association with carcass and meat production traits. The g.2344C SNP marker showed a significant increasing effect on LW (p = 0.009) and CW (p = 0.017). Animals with the CC genotype had higher CW and LW compared with TT and TC genotypes (p<0.05). The g.2447A SNP marker was associated with higher MC (p = 0.019). Animals with the AA genotype had higher MC than animals with CC and CA genotypes (p<0.05). Although the degree of linkage disequilibrium (LD) was not strong between g.2344T>C and g.2447C>A in the LD analysis, four major haplotype classes were formed with two SNP information within the ACACA gene. We constructed haplotypes using the HaploView software package program and analyzed association between haplotypes and carcass traits. The haplotype of ACACA gene significantly affected the LW (p = 0.027), CW (p = 0.041) and MC (p = 0.036). The effect of h1 haplotype on LW and CW was larger than that of h3 haplotype. Animals with the h1 haplotype also had greater MC than did animals with h2 haplotype. Consequently, the ACACA gene could be useful as a DNA marker for meat production traits such as carcass yield and meat contents in Hanwoo.

• Asian-Australasian Journal of Animal Sciences
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• 제30권3호
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• pp.338-346
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• 2017

Objective: This study was conducted to identify and evaluate the effective single nucleotide polymorphism (SNP) markers for fat deposition in the longissimus dorsi muscles of pigs using the amplified fragment length polymorphism (AFLP) approach. Methods: Sixty-four selective primer combinations were used to identify the AFLP markers in the 20 highest- and 20 lowest-intramuscular fat (IMF) content phenotypes. Five AFLP fragments were converted into simple codominant SNP markers. These SNP markers were tested in terms of their association with IMF content and fatty acid (FA) composition traits in 620 commercially crossbred pigs. Results: The SSC7 g.4937240C>G marker showed an association with IMF content (p<0.05). The SSC9 g.5496647_5496662insdel marker showed a significant association with IMF content and arachidonic levels (p<0.05). The SSC10 g.71225134G>A marker revealed an association with palmitoleic and ${\omega}9$ FA levels (p<0.05), while the SSC17 g.61976696G>T marker showed a significant association with IMF content and FA levels of palmitoleic, eicosenoic, arachidonic, monounsaturated fatty acids, and ${\omega}9$ FA levels. However, no significant association of SSC8 g.47338181G>A was observed with any IMF and FA levels in this study. Conclusion: Four SNP markers (SSC7 g.4937240C>G, SSC9 g.5496647_5496662insdel, SSC10 g.71225134G>A, and SSC17 g.61976696G>T) were found to be associated with IMF and/or FA content traits in commercially crossbred pigs. These findings provide evidence of the novel SNP markers as being potentially useful for selecting pigs with the desirable IMF content and FA composition.

• 원예과학기술지
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• 제28권4호
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• pp.627-637
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• 2010

최근 들어 우리나라에서 토마토 소비가 급증하고 있으며 많은 토마토 품종이 시장에서 거래되고 있다. 그러나 토마토 품종 육성에 이용되는 부모 계통의 유전적 다양성이 낮아 형태적인 특성에 의한 토마토 품종의 구분은 매우 어려운 현실이다. 이에 따라 토마토의 품종을 구별해 낼 수 있는 분자표지의 개발이 필요한 실정이다. 본 연구에서는 SNP를 탐색하고 토마토 품종 구분을 위한 SNP 마커를 개발하였다. SNP분자표지는 고추 유전체 서열로부터 파생된 COS II 분자표지와 인트론 기반 분자표지를 기반으로 선발되었으며, HRM분석을 통해 다형성을 테스트 하였다. 전체 628개의 프라이머 조합 가운데 PCR을 통해 크기가 500bp 이하의 단일 밴드가 증폭된 417개의 프라이머 조합을 선발하였다. 417개의 프라이머 조합을 이용해 4개의 토마토 계통을 대상으로 HRM 분석을 실시하였으며, 다형성을 보인 70개의 프라이머 조합을 선발하였다. 70개의 프라이머 조합을 이용하여 32개의 토마토 품종을 대상으로 HRM 분석을 실시하였다. HRM분석을 통해 총 11개의 SNP 분자표지가 선발되었으며, 이 분자표지를 이용해 시판중인 32개의 토마토 품종을 모두 구분할 수 있었다.

• 한국패류학회지
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• 제30권3호
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• pp.197-210
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• 2014

Single nucleotide polymorphisms (SNPs) are widely acknowledged as the marker of choice for many genetic and genomic applications because they show co-dominant inheritance, are highly abundant across genomes and are suitable for high-throughput genotyping. Here we evaluated the applicability of SNP markers developed from Crassostrea gigas and C. virginica expressed sequence tags (ESTs) in closely related Crassostrea and Ostrea species. A total of 213 putative interspecific level SNPs were identified from re-sequencing data in six amplicons, yielding on average of one interspecific level SNP per seven bp. High polymorphism levels were observed and the high success rate of transferability show that genic EST-derived SNP markers provide an efficient method for rapid marker development and SNP discovery in closely related oyster species. The six EST-SNP markers identified here will provide useful molecular tools for addressing questions in molecular ecology and evolution studies including for stock analysis (pedigree monitoring) in related oyster taxa.

• Journal of Animal Science and Technology
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• 제64권5호
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• pp.830-841
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• 2022

Genetic analysis has great potential as a tool to differentiate between different species and breeds of livestock. In this study, the optimal combinations of single nucleotide polymorphism (SNP) markers for discriminating the Yeonsan Ogye chicken (Gallus gallus domesticus) breed were identified using high-density 600K SNP array data. In 3,904 individuals from 198 chicken breeds, SNP markers specific to the target population were discovered through a case-control genome-wide association study (GWAS) and filtered out based on the linkage disequilibrium blocks. Significant SNP markers were selected by feature selection applying two machine learning algorithms: Random Forest (RF) and AdaBoost (AB). Using a machine learning approach, the 38 (RF) and 43 (AB) optimal SNP marker combinations for the Yeonsan Ogye chicken population demonstrated 100% accuracy. Hence, the GWAS and machine learning models used in this study can be efficiently utilized to identify the optimal combination of markers for discriminating target populations using multiple SNP markers.

• Molecules and Cells
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• 제21권3호
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• pp.411-417
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• 2006

We have developed a polymerase chain reactionrestriction fragment length polymorphism (PCR-RFLP) marker that can distinguish male-fertile (N) and male-sterile (S) cytoplasm in onions. The PCR-RFLP marker was located in a chloroplast psbA gene amplicon. Digesting the amplicons from different cytoplasm-containing varieties with the restriction enzyme MspI revealed that N-cytoplasm plants have a functional MspI site (CCGG), whereas the S-cytoplasm plants has a substitution in that site (CTGG), and thus no MspI target. The results obtained using this PCR-RFLP marker to distinguish between cytoplasmic male sterile factors in 35 onion varieties corresponded with those using a CMS-specific sequence-characterized amplified region (SCAR) marker. Moreover, the PCR-RFLP marker can identify N- ot S-cytoplasms in DNA sample mixtures in which they are in up to a 10-fold minority, indicating that use of the marker has high diagnostic precision. We also demonstrated the usefulness of the SNP detected in the psbA gene for high-throughput discrimination of CMS factors using Real-time PCR and a TaqMan probe assay.

• Journal of applied mathematics & informatics
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• 제26권3_4호
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• pp.493-500
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• 2008

In this paper, we first construct a mathematical model for tagSNP selection based on LD measure $r^2$, then aiming at this kind of model, we develop an efficient algorithm, which is called approximate greedy algorithm. This algorithm is able to make up the disadvantage of the greedy algorithm for tagSNP selection. The key improvement of our approximate algorithm over greedy algorithm lies in that it adds local replacement(or local search) into the greedy search, tagSNP is replaced with the other SNP having greater similarity degree with it, and the local replacement is performed several times for a tagSNP so that it can improve the tagSNP set of the local precinct, thereby improve tagSNP set of whole precinct. The computational results prove that our approximate greedy algorithm can always find more efficient solutions than greedy algorithm, and improve the tagSNP set of whole precinct indeed.

• Asian-Australasian Journal of Animal Sciences
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• 제20권4호
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• pp.466-470
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• 2007

CCAAT/enhancer binding protein ${\alpha}$($C/EBP{\alpha}$) plays an important role in lipid deposition and adipocyte differentiation. In order to find genetic markers to improve the meat quality of Korean cattle, the bovine $C/EBP{\alpha}$ gene was chosen as a candidate gene to investigate its association with carcass and meat quality traits in Korean cattle. A single nucleotide polymorphism (SNP) was identified at position 271 (A/C substitution) of coding region in the $C/EBP{\alpha}$ gene. A PCR-RFLP procedure with restriction enzyme SmaI was developed for determining the marker genotypes. The frequencies of alleles C and A and were 0.374 and 0.626, respectively. The genotype frequencies for CC, AC and AA were 12.9, 49.0 and 38.1%, respectively, in Korean cattle population. The frequencies of genotype were in agreement with Hardy-Weinberg equilibrium. Association analysis indicated that the gene-specific SNP marker of $C/EBP{\alpha}$ showed a significant association with marbling score (p<0.05). The animals with AA genotype had higher marbling score than those with the AC or CC genotype. Although further studies are needed to validate our results, the $C/EBP{\alpha}$ gene could be useful as a genetic marker for carcass and meat quality traits in Korean cattle.

• 한국버섯학회지
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• 제16권1호
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• pp.51-56
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• 2018

우리나라에서 표고버섯은 소비자의 선호도가 매우 높고, 전체 임산버섯 생산량의 약 97.7%를 차지하고 있는 매우 중요한 단기소득임산물중 하나이다. 이러한 표고버섯은 최근 신품종의 개발이 활발히 이루어지고 있어, 육종가의 권리 보호를 위하여 품종을 구분할 수 있는 분자마커 개발이 요구되고 있다. 본 연구에서는 신품종 '산마루2호'를 37개의 표고버섯 품종으로부터 구분할 수 있는 CAPS 마커를 개발하였다. '산마루2호'의 유전체에서 Scaffold 2번 1803483에 위치한 단일염기 다형성(SNP)이 확인되었고, 이 SNP를 포함하여 증폭한 DNA는 제한효소 Hhal에 의하여 특이적으로 절단되지 않아 다른 표고버섯 품종들과 구분되었다.

• 농업과학연구
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• 제45권2호
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• pp.238-247
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• 2018

The overall consumption of meat is increasing as the level of national income increases. The end weight is a trait closely associated with dressed meat. Genome-wide association study (GWAS) is an effective method of analyzing genetic variation and gene identification associated with a number of natural alternative traits because it can detect variations. So this paper did a GWAS analysis to identity the location on the genome related to the end weight in purebred landrace pigs and to explore the relevant candidate gene. This study identified a significant single nucleotide poly morphism (SNP) marker in chromosome 6 (ASGA0029422, $p=1.22{\times}10^{-6}$). Adhesion G protein-coupled receptor L2 (ADGRL2) was found to be the candidate gene at the identified SNP marker location. ADGRL2 genes have been found to be associated with cell development in relation to the external and internal environment of a cell. In addition, genotype and statistical analyses were done on nine variations on the exon of ADGRL2. The results show that the SNP marker (ASGA0029422, $p=1.32{\times}10^{-6}$) was significant, but the significance of the nine variations on the ADGRL2 exon was not verified. However, by performing further experiments and functional studies on other SNPs showing possible genetic ADGRL-Exon mutations, objects with high associations of high-end weights can be selected.