• Asian-Australasian Journal of Animal Sciences
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• 제32권4호
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• pp.467-476
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• 2019

Objective: This research was conducted to study the genetic diversity in several Indonesian cattle breeds using microsatellite markers to classify the Indonesian cattle breeds. Methods: A total of 229 DNA samples from of 10 cattle breeds were used in this study. The polymerase chain reaction process was conducted using 12 labeled primers. The size of allele was generated using the multiplex DNA fragment analysis. The POPGEN and CERVUS programs were used to obtain the observed number of alleles, effective number of alleles, observed heterozygosity value, expected heterozygosity value, allele frequency, genetic differentiation, the global heterozygote deficit among breeds, and the heterozygote deficit within the breed, gene flow, Hardy-Weinberg equilibrium, and polymorphism information content values. The MEGA program was used to generate a dendrogram that illustrates the relationship among cattle population. Bayesian clustering assignments were analyzed using STRUCTURE program. The GENETIX program was used to perform the correspondence factorial analysis (CFA). The GENALEX program was used to perform the principal coordinates analysis (PCoA) and analysis of molecular variance. The principal component analysis (PCA) was performed using adegenet package of R program. Results: A total of 862 alleles were detected in this study. The INRA23 allele 205 is a specific allele candidate for the Sumba Ongole cattle, while the allele 219 is a specific allele candidate for Ongole Grade. This study revealed a very close genetic relationship between the Ongole Grade and Sumba Ongole cattle and between the Madura and Pasundan cattle. The results from the CFA, PCoA, and PCA analysis in this study provide scientific evidence regarding the genetic relationship between Banteng and Bali cattle. According to the genetic relationship, the Pesisir cattle were classified as Bos indicus cattle. Conclusion: All identified alleles in this study were able to classify the cattle population into three clusters i.e. Bos taurus cluster (Simmental Purebred, Simmental Crossbred, and Holstein Friesian cattle); Bos indicus cluster (Sumba Ongole, Ongole Grade, Madura, Pasundan, and Pesisir cattle); and Bos javanicus cluster (Banteng and Bali cattle).

• Animal Bioscience
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• 제34권9호
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• pp.1460-1465
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• 2021

Objective: The study aimed to evaluate the diversity of donkey populations by comparing with the diversity of Thoroughbred and Jeju Halla horses; identified breeding backgrounds can contribute to management and conservation of donkeys in South Korea. Methods: A total of 100 horse (50 Thoroughbreds and 50 Jeju Halla horses) and 79 donkeys samples were genotyped with 15 microsatellite markers (AHT4, AHT5, ASB2, ASB17, ASB23, CA425, HMS1, HMS2, HMS3, HMS6, HMS7, HTG4, HTG10, LEX3, and VHL20), to identify genetic diversity and relationships among horses and donkeys. Results: The observed number of alleles per locus ranged from 1 (ASB17, HMS1) to 14 (AHT5), with a mean value of 4.87, 8.00, and 5.87 in Thoroughbreds, Jeju Halla horses, and donkeys, respectively. Of the 15 markers, AHT4, AHT5, ASB23, CA425, HMS2, HMS3, HTG4, HTG10, and LEX3 loci had relatively high polymorphism information content (PIC) values (PIC>0.5) in these three populations. Mean levels of genetic variation were H_E = 0.6721 and H_O = 0.6600 in Thoroughbreds, H_E = 0.7898 and H_O = 0.7100 in Jeju Halla horses, and H_E = 0.5635 and H_O = 0.4861 in donkeys. Of the 15 loci in donkeys, three loci had negative inbreeding coefficients (FIS), with a moderate mean FIS (0.138). The FIS estimate for the HTG4 marker was highest (0.531) and HMS6 marker was lowest (-0.001). The total probability of exclusion value of 15 microsatellite loci was 0.9996 in donkeys. Conclusion: Genetic cluster analysis showed that the genetic relationship among 79 donkeys was generally consistent with pedigree records. Among the three breeds, donkeys and Thoroughbred horses formed clearly different groups, but the group of Jeju Halla horses overlapped with that of Thoroughbred horses, suggesting that the loci would be suitable for donkey parentage testing. Therefore, the results of this study are a valid tool for genetic study and conservation of donkeys.

• Animal Bioscience
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• 제35권4호
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• pp.517-526
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• 2022

Objective: The growth differentiation factor 8 (GDF8) gene plays a key role in bone formation, resorption, and skeletal muscle development in mammals. Here, we studied the genetic variants of GDF8 and their contribution to body conformation traits in Chinese Dabieshan cattle. Methods: Single nucleotide polymorphisms (SNPs) were identified in the bovine GDF8 gene by DNA sequencing. Phylogenetic analysis, motif analysis, and genetic diversity analysis were conducted using bioinformatics software. Association analysis between five SNPs, haplotype combinations, and body conformation traits was conducted in 380 individuals. Results: The GDF8 was highly conserved in seven species, and the GDF8 sequence of cattle was most similar to the sequences of sheep and goat based on the phylogenetic analysis. The motif analysis showed that there were 12 significant motifs in GDF8. Genetic diversity analysis indicated that the polymorphism information content of the five studied SNPs was within 0.25 to 0.5. Haplotype analysis revealed a total of 12 different haplotypes and those with a frequency of <0.05 were excluded. Linkage disequilibrium analysis showed a strong linkage (r²>0.330) between the following SNPs: g.5070C>A, g.5076T>C, and g.5148A>C. Association analysis indicated these five SNPs were associated with some of the body conformation traits (p<0.05), and the animals with haplotype combination H1H1 (-GGGG CCTTAA-) had greater wither height, hip height, heart girth, abdominal girth, and pin bone width than the other (p<0.05) Dabieshan cattle. Conclusion: Overall, our results indicate that the genetic variants of GDF8 affected the body conformation traits of Chinese Dabieshan cattle, and the GDF8 gene could make a strong candidate gene in Dabieshan cattle breeding programs.

• Animal Bioscience
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• 제35권4호
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• pp.527-532
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• 2022

Objective: In this study, we aimed to investigate the recent changes such as allele frequencies and total probability of exclusion (PE) in Thoroughbred horses in Korea using short tandem repeat (STR) parentage panels between 2006 and 2016. Methods: The genotype was provided for 5,988 horse samples with 15 microsatellite markers (AHT4, AHT5, ASB2, ASB17, ASB23, CA425, HMS1, HMS2, HMS3, HMS6, HMS7, HTG4, HTG10, LEX3 and VHL20). Results: In our study, the observed number of alleles per locus ranged from 3 (HMS1) to 9 (ASB17) in 2006 and 4 (HMS1) to 9 (ASB2) in 2016, with a mean value of 6.28 and 6.40, respectively. Of the 15 markers, HMS2, HTG4, and CA425 loci had relatively low polymorphism information content (<0.5000) in the Thoroughbred population. Mean levels of genetic variation in 2006 and 2016 were observed heterozygosity (H_O) = 0.708, and expected heterozygosity (H_E) = 0.685, as well as and H_O = 0.699 and H_E = 0.682, respectively. The PE was calculated for each group based on the allele frequencies of 14 or 15 STRs. The 2006 survey analyzed that PE was 0.9998, but it increased to 0.9999 in 2016 after the HMS2 marker was added in 2011. The current STR panel is still a powerful tool for parentage verification that contributes to the maintenance of integrity in the Thoroughbred population. Conclusion: The current STR panel is still a powerful tool for parentage verification that contributes to the maintenance of integrity in the Thoroughbred horses. However, continuous monitoring genetic variability is necessary.

• 한국자원식물학회:학술대회논문집
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• 한국자원식물학회 2020년도 춘계학술대회
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• pp.47-47
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• 2020

The Korean National Agrobiodiversity Center holds the more than 1300 accessions of proso millet, but a large portion of accessions are landrace of Korea that has very similar traits. To comprehend the maximum genetic diversity of this crop, a core collection with minimum number of accessions will facilitate easy access to genetic material. Here we assessed the genetic diversity and population structure in a germplasm collection of 830 accessions by employing EST-SSR markers and morphological traits. A total of 107 alleles were detected with an average allele number of 4.9 per locus among the 830 accessions based on 37 EST-SSR markers. The number of alleles per locus ranged from 2 to 7. Polymorphism information content and expected heterozygosity ranged from 0.06 to 0.68 (mean = 0.21) and 0.06 to 0.73 (mean = 0.23), respectively. The germplasm collection was separated into two groups based on population structure analysis, whereas principal coordinate analysis (PCoA) could not cluster accessions according to their geographic origin. Subsequently, a preliminarily developed core collection with a total of 141 accessions (17%) was selected from the whole set of germplasm by combining allelic variations of EST-SSR markers and eight different phenotypic traits. The core collection optimally represented the whole germplasm collection and displayed a similar level of PCoA value and genetic variation from the initial collection. The results obtained here provide a primary resource for further genetic analysis and establish a reference for further development of appropriate genetic breeding strategies.

• Asian-Australasian Journal of Animal Sciences
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• 제33권12호
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• pp.1896-1904
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• 2020

Objective: Estimating the genetic diversity and structures, both within and among chicken breeds, is critical for the identification and conservation of valuable genetic resources. In chickens, microsatellite (MS) marker polymorphisms have previously been widely used to evaluate these distinctions. Our objective was to analyze the genetic diversity and relationships among 22 chicken breeds in Asia based on allelic frequencies. Methods: We used 469 genomic DNA samples from 22 chicken breeds from eight Asian countries (South Korea, KNG, KNB, KNR, KNW, KNY, KNO; Laos, LYO, LCH, LBB, LOU; Indonesia, INK, INS, ING; Vietnam, VTN, VNH; Mongolia, MGN; Kyrgyzstan, KGPS; Nepal, NPS; Sri Lanka, SBC) and three imported breeds (RIR, Rhode Island Red; WLG, White Leghorn; CON, Cornish). Their genetic diversity and phylogenetic relationships were analyzed using 20 MS markers. Results: In total, 193 alleles were observed across all 20 MS markers, and the number of alleles ranged from 3 (MCW0103) to 20 (LEI0192) with a mean of 9.7 overall. The NPS breed had the highest expected heterozygosity (H_exp, 0.718±0.027) and polymorphism information content (PIC, 0.663±0.030). Additionally, the observed heterozygosity (H_obs) was highest in LCH (0.690±0.039), whereas WLG showed the lowest H_exp (0.372±0.055), H_obs (0.384±0.019), and PIC (0.325±0.049). Nei's DA genetic distance was the closest between VTN and VNH (0.086), and farthest between KNG and MGN (0.503). Principal coordinate analysis showed similar results to the phylogenetic analysis, and three axes explained 56.2% of the variance (axis 1, 19.17%; 2, 18.92%; 3, 18.11%). STRUCTURE analysis revealed that the 22 chicken breeds should be divided into 20 clusters, based on the highest ΔK value (46.92). Conclusion: This study provides a basis for future genetic variation studies and the development of conservation strategies for 22 chicken breeds in Asia.

• 생명과학회지
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• 제25권6호
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• pp.624-630
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• 2015

본 연구는 microsatellite marker를 이용하여 국내에서 사육되고 있는 칡소 9지역 간의 유전적 거리 분석 및 계통 지도 작성 등의 계통유전학적 분석을 실시하였다. 11종의 MS 마커를 이용하여 대립유전자의 수(No. of allele)를 확인한 결과 8에서 24개로 확인되었으며, 기대이형접합율(expected heterozygosity, H_exp)은 0.672에서 0.834 범위 안에 나타났으며, 관측이형접합율(observed heterozygosity, H_obs)은 0.687에서 0.886, 다형성정보지수(Polymorphism information content, PIC)은 0.638에서 0.876로 확인되었다. 무작위 교배집단(Random)으로 가정하였을 경우 동일개체 출현빈도는 11개의 marker를 사용하였을 때, 5.24×10⁻¹⁹ 빈도로 출현하는 것을 확인 할 수 있었으며, 반형매 교배집단(Half-sib)과 전형매 교배집단(sib)으로 가정했을 경우에는 2.63×10⁻⁰⁶, 2.63×10⁻⁰⁶으로 각각 확인되었다. 이러한 결과는 칡소의 개체식별 및 친지확인 marker로 11종의 MS marker가 충분히 활용 가능할 것으로 사료된다. Phylogenetic tree (Neighbor-Joining tree), Principle Component Analysis (PCA) 그리고 Factorial Component Analysis (FCA) 분석을 통해 9 지역의 칡소 집단 간의 유연관계를 확인하였다. 이러한 결과는 칡소 품종을 중요한 가축유전자원으로써 인식하고 국내 타 품종과의 유전적 차별화와 순수성 보존과 능력을 개량하는데 있어 기초 자료로 활용 가능할 것으로 사료된다.

• 원예과학기술지
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• 제31권6호
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• pp.772-781
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• 2013

본 연구의 목적은 상추(Lactuca sativa)의 expressed sequence tag(EST)로부터 simple sequence repeat(SSR) 마커를 개발하고, 개발된 EST-SSR 마커를 이용하여 상추의 3가지 야생종의 유전자원 9점과 61개의 유통품종을 식별하는 것이다. NCBI 데이터베이스로부터 총 81,330개의 상추 EST를 대상으로 SSR을 탐색하였고, 총 4,229개의 SSR을 발견하였다. SSR의 반복 motif 중 trinucleotide(59.12%, 2,500개)가 가장 많았고, 그 다음으로 dinucleotide(29.70%, 1,256개), hexanucleotide(6.62%, 280개) 순의 분포를 나타내었다. EST로부터 총 474개의 EST-SSR primers를 개발하였고, 이 중 267개의 primer를 9점의 유전자원과 61품종에 대한 유전적 다양성 평가에 활용하였다. 267개의 마커 중 47개의 EST-SSR 마커가 7개 품종 내에서 다형성을 보였으며, 이 중 다형성 정도와 반복 재현성 및 밴드의 선명성을 고려하여 26개의 EST-SSR 마커를 선발하였다. 최종 선발된 26개의 SSR 마커를 이용하여 70개 공시재료를 분석한 결과 대립유전자 수는 총 127개였으며, 최소 2개에서 9개의 분포를 나타내었으며 마커당 평균 대립유전자 수는 4.88개를 나타내었다. PIC평균값은 0.542로 나타났으며, 0.269-0.768의 범위를 나타내었다. 70개 공시재료의 유전적 거리는 0.05-0.94로 나타났으며, 유사도 지수 0.34를 기준으로 할 때 7개의 주요 그룹으로 나누어졌다. 26개의 EST-SSR 마커를 이용한 유전적 다양성 분석 결과 9점의 유전자원과 61개의 유통품종이 마커의 유전자형에 의해 모두 식별이 되었다. 본 연구를 통해 신규 개발된 EST-SSR 마커는 상추의 품종식별과 구별성, 균일성, 안정성 검정에 유용하게 활용될 수 있을 것으로 사료된다.

• 생명과학회지
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• 제25권7호
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• pp.839-848
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• 2015

분자 마커는 유기체에서 다른 유기체와 분자적 수준에서 식별하는 마커이다. 유전적 분석을 위한 분자 마커의 발달은 식물 유전학, 다양한 구조와 가능을 이해하는데 기여하였다. DNA 마커는 임의유전자 증폭에서 다형성을 탐지하는 기법이나 방법(예를 들면 서든 블로팅, 핵산 교잡법, PCR을 이용한 중합효소 연쇄 증폭 반응, DNA 서열화)으로 RFLP, AFLP, RAPD, SSR, SNP 등을 이용하였고 현재에도 이용하고 있다. 최근 기능성 유전자를 이용한 기능성 마커가 각광을 받고 있다. 기능성 마커는 다형성 서열에서 유래한 것으로 표현형 변이를 내포하고 있다. 이런 개념에서 출발한 기능성 마커는 모든 유전자를 타깃으로 할 수 있으나 식물에서는 P450, 튜블린 형성 유전자의 다형성(TBPs), 전이요소 마커(TEMs), 병원균 저항성 유전자 마커(RGMs), RNA를 기반으로 한 마커(RBMs) 등이 널리 이용되고 있다. 본 연구는 Poczai 등의 총설을 기반으로 구성하였다. 식물에서 이런 분자 마커의 이용은 식물의 분화, 진화, 생리적 기능성 유전자의 변화 등 생물학 전반에 관한 정보 획득에 도움을 될 것이다.

• Journal of Plant Biotechnology
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• 제44권4호
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• pp.416-430
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• 2017

The kenaf plant is used widely as food and in traditional folk medicine. This study evaluated the morphological characteristics, functional compounds, and genetic diversity of 32 kenaf cultivars from a worldwide collection. We found significant differences in the functional compounds of leaves from all cultivars, including differences in levels of chlorogenic acid isomer (CAI), chlorogenic acid (CA), kaempferol glucosyl rhamnoside isomer (KGRI), kaempferol rhamnosyl xyloside (KRX), kaemperitrin (KAPT) and total phenols (TPC). The highest TPC, KAPT, CA, and KRX contents were observed in the C22 cultivars. A significant correlation was observed between flowering time and DM yield, seed yield, and four phenolic compounds (KGRI, KRX, CAI, and TPC) (P < 0.01). To assess genetic diversity, we used 80 simple sequence repeats (SSR) primer sets and identified 225 polymorphic loci in the kenaf cultivars. The polymorphism information content and genetic diversity values ranged from 0.11 to 0.79 and 12 to 0.83, with average values of 0.39 and 0.43, respectively. The cluster analysis of the SSR markers showed that the kenaf genotypes could be clearly divided into three clusters based on flowering time. Correlations analysis was conducted for the 80 SSR markers; morphological, chemical and growth traits were found for 15 marker traits (corolla, vein, petal, leaf, stem color, leaf shape, and KGRI content) with significant marker-trait correlations. These results could be used for the selection of kenaf cultivars with improved yield and functional compounds.