The newly developed varieties, Jayoung (violet flesh color) and Hongyoung (red flesh color) that harboring various anthocyanins and flavonoids in flesh colored potato are highly increase their interesting not only for food but also functional characteristics such as anti-inflammatory effects. Up to date, most of the molecular markers developed in potato are linked to disease resistance including late blight and PVY, nematode. A few markers linked to economically important functional materials such as anthocyanin biosynthesis are published. With the low cost and high throughput of NGS (Next Generation Sequencing) technology, numerous molecular markers are highly increased in may crops. Among the molecular markers, SNPs (Single nucleotide Polymorphisms) are most useful markers owing to their large numbers in inter and intra varieties in potato. Here we reported SNPs discovery from transcriptome sequencing data acquired from colored flesh potato cultivars, Jayoung and Hongyoung with white flesh color Atlantic. Total RNA was isolated from shoot in tuber after breaking dormancy about 2cm length. Short read sequence data were obtained form Illumina Hiseq2000 and the raw dat set were trimmed with Q socore over 20. Sequencing data were align to reference genome (Solanum tuberosum v4.03, http://potatogeomics.plantbiolgy.msu.edu). About 70% of sequence read were mapped int to reference genome. 139,050, 140,976 and 146,429 total SNPs were discovered in Hongyoung, Jayoung and Atlantic, respectively. All SNPs are mapped into the psedomolecules in reference genome by chromosome. SNPs are also analyzed with homozygous and heterozygous SNPs and genic and intergenic region. SNPs are compared with Potato Infinium 8K Chip data. SNPs found in candidate genes of anthocyanin biosynthesis were discovered. These SNPs information of flesh colored potato will be further analyzed for the allele mining for anthocyanin syhthesis and control region

Fusarium head blight (FHB) is a major disease problem on wheat and barley around the world. F. graminearum produces trichothecenes mycotoxins such as nivalenol (NIV), deoxynivalenol (DON), and zearalenone (ZEA). The objectives of this study were to survey the natural occurrence of FHB and mycotoxins of 32 Korean wheat cultivars grown in 2011-2012 seasons at the National institute of crop science, Iksan, Korea. There was great deal of rainfall and high humidity during flowering time in May 2011. FHB incidence was counted by Fusarium infected spikes per square meter. The samples of 32 wheat cultivar were collected. The grain and flour samples were to analysis for DON and NIV by gas chromatography and ZEA by high performance liquid chromatography. The result showed that the average of FHB incidence(%) per square meter in 2011 and 2012 were 4.2%, 0.5% respectively. There were significant cultivar differences for FHB incidence ranged from 0% to 24% in 2011. All of 32 wheat cultivars contained 9-2088 ng/g for NIV and ten wheat cultivars contained 5.7-8.5 ng/g for ZEA. In addition, DON concentration of Tapdong, Shinmichal1, and Hanbaek were 217, 35 and 683 ng/g respectively. However, the grain and flour sample harvested in 2012 showed that lower FHB incidence and NIV concentration. These results showed that the 32 wheat cultivars harvested in 2011 were heavily contaminated with Fusarium mycotoxins (NIV, DON, ZEA).

본 연구에서는 여러 가지 품종별 통보리가루를 20% 첨가 하여 보리 국수를 제조하고 제조된 국수의 품질특성과 β -glucan 함량 및 항산화활성 변화를 조사하였다. 호화특성 중 호화개시온도와 최고점도는 보릿가루 첨가에 따라 증가하였고, 치반점도는 감소하였다. 통보리가루 첨가 국수의 L 값은 밀가루 국수에 비해 낮았고 a값과 b값은 높았다. 조리 시 흡수율은 통보리가루 첨가국수에서 밀가루 국수보다 낮 게 나타났으며, swelling index는 메성보리는 높았고 찰성보 리는 밀가루 국수와 비슷하였다. 보리국수의 조리 후 경도, 검성은 밀가루 국수에 비해 약간 낮았으며, 메성보리가 찰 성보리보다 경도, 응집성, 검성이 높았고 메성 품종인 다한 이 가장 밀가루 국수와 유사한 특성을 보였다. 보릿가루 첨 가에 따라 국수의 β-glucan 함량은 증가하였으며, 조리 후 β-glucan 함량이 약간 증가하였고, 전분함량은 조리 후 감 소하였다. 보리첨가 국수의 항산화활성은 밀가루 국수보다 높았고 조리 후 감소하였다.

Korean ginseng (P. ginseng C. A. Meyer) is one of the most important medicinal plant in the world. Understanding genetic variability among the assortment of Korean ginseng is important for breeding. The aim of this study was to molecularly characterize Korean ginseng cultivar and breeding lines through the use of eight previously reported STS markers (MFGp183, MFGp130, MFGp110, UFGp74, UFGp163, MFGp108, MFGp81 and UFGp156). All STS markers produced interpretable electropherograms from 31 accessions consisting of 11 Korean ginseng cultivars and 20 breeding lines. When eight STS markers were combined, we identified to total 19 genetic patterns; in particular, nine cultivars (Chunpoong, Yunpoong, Gopoong, Gumpoong, Sunpoong, Sunone, Cheongseon, Sunhyang, Cheonryang) and 5 breeding lines (G08012, G04079, G04075, G08036, G04110) in ginseng samples can be discriminated from the others. Together with other available markers, these STS markers will contribute to the management of ginseng genetic resources and the protection of breeders' rights.

이차원 전기영동 분석을 이용하여 국내 밀 32 품종의 HMW-GS 단백질 발현의 정성 및 정량적인 분석을 통해 품 HMW-GS 발현 정도를 평가하여 국내 밀 품종 육성의 초 자료로 활용하고자 수행하였다. 평균 HMW-GS 스팟 수는 11.78개였으며, Glu-A1 1.31개, Glu-B1 5.53개, 그리고 Glu-D1에서 4.94 개였다. Glu-B1과 Glu-D1에서는 subunit에 따른 단백질 스팟 수가 차이가 없기 때문에, Glu-A1에서는 1과 2* subunit을 지닌 품종이 null allele 품종에 비하여 단백질 스팟 수가 많았다. 단백질 스팟 수는 조경밀이 18개로가장 많았으며, 다홍밀은 7개로 제일 적었다. 단백질의 상대적인 발현량을 조사한 결과 평균 0.44로 대비 품종인 Chinese Spring에 비하여(1.0) 낮았고, 고분밀이 1.11로 가장 높았으며, 은파밀이 0.24로 가장 낮았다. 단백질 스팟수와 발현량을 이용한 유연관계 분석 결과, 국내 밀 품종을 6개 그룹으로 분류할 수 있었다.

LMW-GSs represent approximately 1/3 of the total wheat gluten fraction, which have not been widely studied, even though they are important in the context of wheat end-use quality. In this study, we report on the qualitative and quantitative analysis of LMW-GS in korean wheat cultivars by 2DE in 32 cultivars of Korean wheat for the use of the basis of wheat breeding. We firstly identified spots corresponding each of Glu-3 alleles. The 2DE results for each cultivar will be used as reference map or protein marker discriminating wheat cultivars, wheat and rice, imported and Korean flour. Unexpectedly, five LMW-GS spots were found to be expressed at a common position in hexaploid wheat cultivars, and these spots might play something in glutenin biosynthesis. Total spot numbers were expressed variously between 20 and 10, and average spot number was shown 17.12. The average number of spots in Glu-A3, Glu-B3 and Glu-D3 were 3.0, 4.56 and 2.96 respectively. When the Korean wheat cultivars were compared with the Chinese spring (1.0) in the average relative expression level, Korean one’s were lower as 0.67. Especially, Gobun was the highest as 1.32 and Baekjoong was the lowest as 0.24. Also we investigated phylogenetic relationship based on frequency of HMW-GS spots and quantification value of each spot to all LMW-GS spots. As a result, the varieties of Korean wheat could be classified into five groups.

To evaluate expression level of HMW-GS protein qualitatively and quantitatively, we separated glutenin fractions and conducted two-dimensional electrophoresis (2DE) in 32 cultivars of Korean wheat for the use of as the basis of wheat breeding. The average spot number of HMW-GS in all Korean wheat cultivars was 11.78 which included 1.31, 5.53 and 4.94 to Glu-A1, Glu-B1 and Glu-D1 loci, respectively. Cultivars harboring 1, 2* subunits had many spots more than ones harboring null allele in Glu-A1 loci because there is no difference of spots between Glu-B1 and Glu-D1 loci. In total spot number of HMW-GS, the highest one was Jokyung as 18 and Dahong the lowest as 7. When the Korean wheat cultivars were compared with the Chinese spring in the average relative expression level, Korean one’s were lower as 0.44. Especially, Gobun was the highest as 1.11 and Eunpa was the lowest as 0.24. Also we investigated phylogenetic relationship based on both frequency of HMW-GS spots and quantification value of each spot to all HMW-GS spots. As a result, Korean the varieties of Korean wheat could be classified into six groups.

Fusarium head blight (FHB), caused by Fusarium graminearum is a major disease problem on wheat and barley in Korea. The objectives of this study were to evaluation of korean wheat cultivars for Type I and Type II resistance to FHB. We screened for Type II resistance in the greenhouse using single floret inoculation and for Type I resistance in the field using spray inoculation. Sumai 3 was used the FHB resistant check. Thirty-two korean wheat cultivars were evaluated for resistance to spread of symptoms within spike. The 2013 field screening with wheat cultivar was located in Kimjae-si Joeonbuk Korea. All plots were inoculated twice. Mist-irrigation was applied to facilitate FHB development. FHB severity was assessed visually 21 days after inoculation on 20 arbitrarily selected spikes per plot. FHB severity was determined as the percentage of symptomatic spikelets from the total of all spikelets. For FHB resistance, the average of FHB severity of Type I exhibited ranging from 21.9% to 77.2% and FHB severity of Type II ranging from 20.8% to 100%. Namhae, Milseong, Geuru, Joen, Anbaek and Sukang were the moderately resistant cultivars while Gobun, Alchan, Dajoong, Eunpa, Shinmichal1, Eunpa and Uri were the most susceptible cultivars for Type II resistance.

The grain and agronomic characteristics of Korean barley cultivars were investigated with respect to ethanol yield. Test weight, grain yield, and starch yield showed noticeable variation among the cultivars. Grain yields were higher in covered barley and non-waxy barley. Starch yield was higher in non-waxy barley than waxy barley. Protein, β -glucan, and starch content of tested cultivars ranged in 10.0-12.9%, 4.4-7.5% and 49.7-65.3%, respectively. Naked barley cultivar had higher starch content than covered barley cultivar. However, covered barley had high starch yield because it has higher grain yield than naked barley. Covered barley cultivar had higher husk content, ranging 7.6-14.0%, than that of naked barley cultivar, ranging 5.3-8.0%. Starch content was positively correlated with amylose content, test weight, ethanol yield and negatively correlated with protein, husk, β -glucan content. Ethanol yield per ton was positively correlated with starch content, but negatively correlated with husk content. Ethanol yield per hectare was positively correlated with starch yield, grain yield, grain weight and negatively correlated with protein, test weight. From this research, the important characteristics of barley cultivar as a bioethanol producing material were starch content and grain yield. Optimum barley genotype was non-waxy naked barley that had low protein, β -glucan, husk content, and high starch content and grain yield.

Totally, 26 collections, 17 from Korea and 9 from China, were investigated for their sequences of 5S rDNA, especially the non-transcribed spacers (NTSs). Sequences of 5S rDNA were isolated by PCR using the primers, 5s-rRNA1 and 5s-rRNA2. Genomic DNA PCR produced single amplification of 300, 330, or 350 base pair fragments. Sequence analysis revealed that all inserts contained the part of 5S rDNA gene sequence and the full length of the NTS region. Three different sizes of the fragments were confirmed due to different size of NTS and their length were 300bp, 330bp and 350bp, respectively. Among 17 Korean foxtail millets tested, 14 collections showed single 300bp amplification. Longest fragment amplification, 350bp, was obtained only from the foxtail millet from China origin, even though 2 of them include 300bp fragment. CLUSTALW multiple alignments of 26 foxtail millets clearly revealed 4 areas with certain degree of sequence heterogeneity (region I, II, III, IV). Among 4 boxed areas, foxtail millet genotypes from China have distinct insertion especially in region III. Five of them have extra insertion of sequence and their additional sequences were either 45 or 48 base pair. Three Korean foxtail millets have 32 bp insertion. Other 8 Korean collections have short insert sequences (6 to 8 bp), 3 with 8 bp and 5 with 6 bp. In addition to insert, deletion sequences were also confirmed as major deletion was observed in region II of Chinese collection. The size of deletion was 7 bp long. According to phylogenic tree constructed using MEGA4 program, clear grouping was not revealed. To obtain more convincing results various collections from many countries should be obtained and analyzed to distinguish different germplasm from different origin.