• Journal of Animal Science and Technology
• /
• v.51 no.4
• /
• pp.273-282
• /
• 2009

DNA marker information is used to identify or distinguish cattle breeds or individual animal. The purpose of this study was to apply Bovine Genotypes Kit Version 1.1/2.1 to bovine DNA samples (National Institute of Animal Science) taken from Australian / American beef (n=148), Holstein beef (n=170) and Hanwoo cattle (n=177) bred in Jeongeub, Jeonbuk, Korea, so that it could distinguish Hanwoo breed. The Bovine Genotype Kits consist of 16 ISAG MS markers, which were used to build a database of genotypes in each group. Genotyping results were analyzed using MS Tool kit and Phylip program to create phylogenetic tree. The GeneClass 2.0 was used to estimate breed identification. These analyses found that this kit had 100% capacity to distinguish Hanwoo beef, 95.3% capacity to differentiate Australian / American beef and 90% capacity to identify Korean Holstein steer beef. Hence, it is expected that 16 commercial microsatellite markers is useful to categorizegenetic characteristics of Hanwoo breed and also identify Hanwoo individuals and the origin of beef. In particular, it is expected that these markers will be advantageous in discriminating domestic Holstein beef from Australian / Americanbeef.

• Journal of Life Science
• /
• v.32 no.12
• /
• pp.947-955
• /
• 2022

Silkworms, which have recently shown promise as functional health foods, show functional differences between varieties; therefore, the need for variety identification is emerging. In this study, we analyzed the whole silkworm genome to identify 10 unique silkworm varieties (Baekhwang, Baekok, Daebaek, Daebak, Daehwang, Goldensilk, Hansaeng, Joohwang, Kumkang, and Kumok) using single nucleotide polymorphisms (SNP) present in the genome as biomarkers. In addition, nine SNPs were selected to discriminate between varieties by selecting SNPs specific to each variety. We subsequently created a decision tree capable of cross-verifying each variety and classifying the varieties through sequential analysis. Restriction fragment length polymorphism (RFLP) was used for SNP867 and SNP9183 to differentiate between the varieties of Daehwang and Goldensilk and between Kumkang and Daebak, respectively. A tetra-primer amplification refractory (T-ARMS) mutation was used to analyze the remaining SNPs. As a result, we could isolate the same group or select an individual variety using the nine unique SNPs from SNP780 to SNP9183. Furthermore, nucleotide sequence analysis for the region confirmed that the alleles were identical. In conclusion, our results show that combining SNP analysis of the whole silkworm genome with the decision tree is of high value as a discriminative marker for classifying silkworm varieties.

• Korean Journal of Breeding Science
• /
• v.42 no.5
• /
• pp.507-514
• /
• 2010

Peanut(Arachis hypogaea L.) is one of the major oilseed crops. The peanut oil consists of palmitic, oleic and linoleic acids, which are present at levels of 10%, 36-67% and 15-43%, respectively. High oleate mutant of peanut F435 contains 80% oleate and as little as 2% linoleate in seed oil. Previous study indicated that delta 12 fatty acid desaturase is a major enzyme controlling the oleate content in seeds of oilseed crops. F435 sequence alignment of their coding regions disclosed that an extra A(adenine) was inserted at the position +2,823 bp of delta 12 fatty acid desaturase gene. This study was to develop molecular marker (SNP marker) co-segregating with the high oleate trait. Chopyeong ${\times}$ F435 $F_2$ 41 population were investigated using molecular marker and fatty acid assay (NIR and gas chromatography). Finally, this marker segregates Chopyeong type 26 lines, heterotype 9 lines and F435 type 6 lines. These results in our study suggested that SNP marker conform fatty acid assay.

• Proceedings of the Korean Society of Crop Science Conference
• /
• 2021.10a
• /
• pp.169-169
• /
• 2021

• Journal of Apiculture
• /
• v.32 no.3
• /
• pp.147-154
• /
• 2017

Honeybees (Apis mellifera) are common pollinators and important insects studied in agriculture, ecology and basic research. Recently, RDA (Rural Development Administration) and YIRI (Yecheon-gun Industrial Insect Research Institute) have been breeding a triple crossbred honey bee named Jangwon, which have the ability to produce superior quality honey. In this study, we identified a single nucleotide polymorphism (SNP) marker in the genome of Jangwon honeybee, particularly, in the paternal line (D line). Initially, we performed Sequence-Based Genotyping (SBG) using the Illumina Hiseq 2500 in 5 honeybee inbred lines; A, C, D, E, and F; and obtained 1,029 SNPs. Seventeen SNPs for each inbred line were generated and selected after further filtering of the SNP dataset. The 17 SNP markers validated by performing TaqMan probe-based real-time PCR and genotyping analysis was conducted. Genotyping analysis of the 5 honeybee inbred lines and one hybrid line, $D{\times}F$, revealed that one set of SNP marker, AmD9, precisely discriminated the inbred line D from the others. Our results suggest that the identified SNP marker, AmD9, is successful in distinguishing the inbred honeybee lines D, and can be directly used for genotyping and breeding applications.

• Korean Journal of Breeding Science
• /
• v.50 no.4
• /
• pp.396-405
• /
• 2018

The areas of soybean (Glycine max (L.) Merrill) cultivation in Gangwon-do have increased due to the growing demand for well-being foods. The soybean barcode system is a useful tool for cultivar identification and diversity analysis, which could be used in the seed production system for soybean cultivars. We genotyped cultivars using 202 insertion and deletion (InDel) markers specific to dense variation blocks (dVBs), and examined their ability to identify cultivars and analyze diversity by comparison to the database in the soybean barcode system. The genetic homology of "Cheonga," "Gichan," "Daewang," "Haesal," and "Gangil" to the 147 accessions was lower than 81.2%, demonstrating that these barcodes have potentiality in cultivar identification. Diversity analysis of one hundred and fifty-three soybean cultivars revealed four subgroups and one admixture (major allele frequency <0.6). Among the accessions, "Heugcheong," "Hoban," and "Cheonga" were included in subgroup 1 and "Gichan," "Daewang," "Haesal," and "Gangil" in the admixture. The genetic regions of subgroups 3 and 4 in the admixture were reshuffled for early maturity and environmental tolerance, respectively, suggesting that soybean accessions with new dVB types should be developed to improve the value of soybean products to the end user. These results indicated that the two-dimensional barcodes of soybean cultivars enable not only genetic identification, but also management of genetic resources through diversity analysis.

• 한국약용작물학회:학술대회논문집
• /
• 2010.10a
• /
• pp.209-210
• /
• 2010

• Journal of Plant Biotechnology
• /
• v.45 no.4
• /
• pp.375-381
• /
• 2018

The consumption of oats (Avena sativa L.) with high nutritional utility is accelerating due to the increased consumers' demand for functional foods. In Korea, naked oats are used as food, while covered oats are used for animal feed. However, it is difficult to distinguish naked oats from covered oats when the husk is removed from the grains by a special process. The present study was carried out to investigate experimental methods that would be beneficial in the segregation of different types of oats after husk removal. Grain quality-related biochemical compounds were analyzed in a bid to differentiate the oat dehulling characteristics. In addition, 61 SSR markers were examined for genetic relationship and variety identification of oats using five naked and seven covered oat varieties. Results showed that, the contents of protein, lipid, and ${\beta}-glucan$ were not significantly different among the oat varieties and this could not be used as an index for distinguishing oats husk character. However, in the fatty acid composition ratio,, naked oats had a higher ratio of stearic acid (C18:0) and oleic acid (C18:1) than covered oats, and covered oats had a higher ratio of linoleic acid (C18:2) and linoleic acid (C18:3) than naked oats. The assessment of SSR marker genotype revealed that 33 polymorphic bands among 12 oat varieties and 1 variety could be distinguished through the combination of polymorphic markers thus indicating the usability of these markers for variety identification in oats.

• Korean Journal of Environmental Agriculture
• /
• v.32 no.1
• /
• pp.48-54
• /
• 2013

BACKGROUND: Sorghum (Sorghum bicolor (L.) Moench) ranks as the 6th most planted crop in the world behind wheat, rice, maize, soybean, and barley. The objective of this study was to identify bio-marker among sorghum cultivars using proteomics approach such as two-dimensional polyacrylamide gel electrophoresis (2-DE) coupled with mass spectrometry (MS). METHODS AND RESULTS: Proteins were extracted from sorghum seed, and separated by 2-DE. Total 652 spots were detected from 4 different sorghum seed after staining of 2-DE with colloidal Coomassie brilliant blue (CBB). Among them, 8 spots were differentially expressed and were identified using MALDI-TOF/TOF mass spectrometry. They were involved in RNA metabolism (spot1, spot 4), heat shock proteins (HSPs, spot 2), storage proteins (spot 3, spot 5, and spot 6), and redox related proteins (spot 8). Eight of these proteins were highly up-regulated in Whinchalsusu (WCS). The HSPs, Cupin family protein, and Globulin were specifically accumulated in WCS. The DEAD-box helicase was expressed in 3 cultivars except for WCS. Ribonuclease T2 and aldo-keto reductase were only expressed in 3 cultivars except for Daepung-susu (DPS). CONCLUSION(S): Functions of identified proteins were mainly involved in RNA metabolism, heat shock protein (HSP), and redox related protein. Thus, they may provide new insight into a better understanding of the charactreization between the cultivars of sorghum.

• Horticultural Science & Technology
• /
• v.30 no.3
• /
• pp.286-293
• /
• 2012

The resistance to Tobamovirus in Capsicum spp. has been known to be controlled by five different alleles ($L^0$, $L^1$, $L^2$, $L^3$, and $L^4$) of L locus on the telomere of long arm of pepper chromosome 11. To develop a set of molecular markers differentiating all the alleles of L locus, we used five pepper differential hosts including Capsicum annuum Early California Wonder (ECW, $L^0L^0$), C. annuum Tisana ($L^1L^1$), C. annuum Criollo de Morelos 334 (CM334, $L^2L^2$), Capsicum chinense PI 159236 ($L^3L^3$), and Capsicum chacoense PI 260429 ($L^4L^4$). Developing a series of CAPS or SCAR markers specifically linked to the alleles was allowed by the sequence comparison of PCR amplicons of the $L^3$-linked markers (189D23M, A339, and 253A1R) and BAC sequences (FJ597539 and FJ597541) in the pepper differentials. Genotypes deduced by these markers in 48 out of 53 $F_1$ hybrids of commercial pepper varieties were consistent with their phenotypes by bioassay using Tobamovirus pathotypes ($P_0$, $P_1$, and $P_{1,2$). Consequently, these markers can be useful to differentiate L alleles and for breeding Tobamovirus resistance in pepper with marker-assisted selection.