Background : Codonopsis is a flowering plants belong to the family Campanulaceae, and has many kinds of medicinal properties. As currently recognized, two other groups, Campanumoea and Leptocodon, are included in the Codonopsis. The enlarged genus Codonopsis is distributed in Eastern, Southern, Central, and Southeastern Asia. C. lanceolata, C. clematidea and C. pilosula has many kinds of medicinal properties and this plants are used as medicinal and edible plants. C. ovata and C. mollis are distributed in Pakistan Kashmir and Himalaya mountains at an altitude of about 3,000 m, and flowers bloom in July to August. Methods and Results : In this study, we analyzed the genetic diversity of 5 Codonopsis species using 8 SSR markers base on C. lancelolata genomic sequences. Samples were obtained from fresh leaves of 5 plants from each species and genomic DNA was extracted using CTAB method. PCR was performed in total 20μl reaction volume containing 20 ng of DNA template and 5 pmole of primers. PCR conditions composed pre-denaturation at 95℃ for 5 min, then 35 cycles of 95°C for 30 sec, 60°C for 30 sec and 72°C for 30 sec, and a final extension at 72℃ for 30 min. The amplified band sizes ranged from 74 to 301 bp and clearly showed single or doble bands in eletrophoresis. From the phylogenetic analysis, C. lanceolata was grouped together, but the others were not grouped together according to the species. Conclusion : We concluded that C. lanceolata cultivated in Korea is different from the other species, and the eight SSR markers used in this study are able to distinguish C. lanceolata from the other species.

Assessing genetic diversity, population structure, and linkage disequilibrium is important in identifying potential parental lines for breeding programs. In this study, we assessed the genetic and phenotypic variation of 174 normal maize (Zea mays) inbred lines and made association analyses with respect to nine agronomical traits, using 150 simple sequence repeats (SSR). From population structure analysis, the lines were divided into three groups. Association analysis was done with a mixed linear model and a general linear model. Twenty one marker-trait associations involving 19 SSR markers were observed using the mixed model, with a significance level of P<0.01. All of these associations, as well as 120 additional marker-trait associations involving 77 SSR markers, were observed with the general model. Two significant marker-trait associations (SMTAs) were detected at P ≤ 0.0001. In the mixed linear model, one locus was associated with water content, two loci were associated with 100-kernel weight, setted ear length, ear thickness and stem thickness; three loci were associated with ear height, four loci were associated with total kernel weight and five loci were associated with plant height. These results should prove useful to breeders in the selection of parental lines and markers.

For understanding the genetic diversity and genetic relationship between cultivated and weedy types, we evaluated genetic variation of 80 accessions of rice (O. Sativa). This included 42 cultivated accessions and 38 weedy accessions with the help of AFLP and CACTA-TD. A total of 542 loci were analyzed (255 for AFLP and 287 for CACTA-TD) of which AFLP markers exhibited 75% of polymorphism and transposon based CACTA-TD markers exhibited 93% of polymorphism. The average genetic diversity value for all 80 accessions, using AFLP markers was 0.226 (Cultivated – 0.210; Weedy 0.241) and based on CACTA-TD markers was 0.281 (Cultivated – 0.294; Weedy 0.269). A UPGMA phylogenetic tree revealed three major groups for both the marker system. The average polymorphic content value obtained with AFLP and CACTA-TD markers were 0.21 and 0.232, Effective multiplex ratio (AFLP – 47.50; CACTA-TD – 66.75), Marker Index (AFLP – 9.94; CACTA-TD – 21.13) and Resolving power (AFLP – 19.53; CACTA-TD – 34.62) indicated that the CACTA-TD markers were relatively efficient than AFLP markers.

In this study we evaluate the informative and efficiency of Simple Sequence Repeat (SSR) and Sequence Specific Amplified Polymorphism (SSAP) markers for genetic diversity, genetic relationship and population structure among 87 super sweet corn inbred lines generated by different origins. The SSR showed relatively higher level of the average gene diversity and shannon’s information index value than that of the SSAP. To assess genetic relationship and to characterize among 87 super sweet corn inbred lines using the SSR and SSAP markers. The dendrogram using SSR marker divided into nine groups of clusters were observed at the genetic similarity value 53.0%. For SSAP marker, Total three main clusters were confirmed in genetic similarity value at 50.8%. Result of combine data for SSR and SSAP markers showed six subgroup were detected in genetic similarity at 53.5%. To confirm population structure, the total 87 super sweet corn inbred lines were divided into groups I, II and admixed group based on membership probability 0.8 for SSR and SSAP markers. However population structure using combine data was K=3 and divided into group I, II, III and admixed group. This study has demonstrated the comparative analysis of SSR and SSAP for the study of genetic diversity and the genetic relationship for super sweet corn inbred lines. Thus, the results of this study will be useful to maize breeding programs in Korea.

Watermelon (Citrullus lanatus) is one of the most economically important cucurbitaceous crop over the world. Anthracnose disease caused by Colletotrichum orbiculare, result to severe damage to cucurbits worldwide. Anthracnose is a typical plant disease which significantly affecting the yield of cucurbit crop. Pathogeneis-related (PR) proteins are well-known plant defense proteins against pathogens. Therefore, we observed PR genes expression patterns when watermelon got anthracnose disease. We did RT-PCR experiment to evaluate differences of PR genes expression pattern among Au-Producer(R), one of the representative of resistance watermelon varieties against anthracnose, and 920533(S), one of the representative of susceptible watermelon varieties against anthracnose. As a result, there were differences of the expression of several PR genes between the R and S watermelon. Analysis of the function of these genes is expected to perform in the future.

Watermelon (Citrullus lanatus) is one of the most economically important cucurbitaceous crop over the world. Screening of proper reference genes was needed to reverse transcription quantitative real-time PCR (qRT-PCR), and it is bausic step of many researches including gene expression analysis. However, the reference genes on watermelon has not yet been reported systematically. Therefore, eight candidates of reference genes were selected with reference to Arabidopsis or cucumber papers. They are β-Actin, elongation factor 1-α, glyceraldehy-3-phosphate-dehydrogenase, NADP-isocitrate dehydrogenase, leunig, polypyrimidine tract-binding protein1, ubiquitin-conjugating eznyme E2, and 18S ribosomal RNA. The expression levels of genes were evaluated by qRT-PCR under biotic stress (Colletotrichum orbiculare treatment), plant hormone treatment (100 μM ABA), and abiotic stresses such as drought, cold (4℃), salt (250 mM NaCl) stresses. We founded appropriate reference genes which did not induce or reduce gene expression levels under broad spectrum of stresses by qRT-PCR analysis. These results may provide proper information for the use of appropriate reference genes for gene expression studies in watermelon qRT-PCR analysis.

Heat shock transcription factors(HSFs) are the major heat shock factors regulating the heat stress response. They participate in regulating the expression of heat shock proteins (HSPs), which are critical in the protection against stress damage and many other important biological processes. In this study, a genome-wide analysis was carried out to identify all HSFs soybean genes. Twenty six nonredundant HSF genes(GmHsf) were identified in the latest soybean genome sequence. Chromosomal location, protein domain and motif organization of GmHsfs were analyzed in soybean genome. The phylogenetic relationships, gene duplications and expression profiles of GmHsf genes were also presented in this study. According to their structural features, the predicted members were divided into the previously defined classes A–C, as described in Arabidopsis. Using RT-PCR, the expression patterns of 26 GmHsf genes were investigated under heat stress. The data revealed that these genes presented different expression levels in response to heat stress conditions. Real-time (q)RT-PCR was performed to investigate transcript levels of five GmHsfs in response to multiple abiotic stresses. Differential expression of five GmHsfs implies their role during abiotic stresses. Subcellular localization using GFP-fusion protein demonstrated that GmHsf12 and GmHsf34 were restricted to the nucleus and GmHsf28 was localized in the nucleus and cytoplasm in plant. The results provide a fundamental clue for understanding of the complexity of the soybean HSF gene family and cloning specific function genes in further studies and applications.

The plant-specific NAC (NAM, ATAF, and CUC)-domain proteins play important roles in plant development and stress responses. Comparative time-course expression analyses were carried out to analyze the expression levels of 62 soybean NAC genes during drought stress in order to search for the stress-inducible NAC genes. Ten GmSNAC (Glycine max stress-inducible NAC) genes having the significant differential expression in response to the drought stress and abscisic acid (ABA) hormone application were further investigated for their expression profiles with various stresses such as drought, high salinity, cold and with ABA treatments by the quantitative real-time PCR analyses. In this research, the full-length cDNAs of eight GmSNAC were isolated for the further studies. Eight GmSNAC proteins were tested for their transcription activation in the yeast assay system. Two GmSNAC proteins showed the very high transcriptional activities and the other two GmSNAC proteins displayed moderate levels of transactivation while the remaining four GmSNAC proteins lacked transactivation in yeast. Subcellular localization of eight GmSNAC proteins was analyzed via the green fluorescent protein-GmSNAC fusion protein in tobacco plant cell. Three GmSNAC proteins with the C-terminal transmembrane domain were localized to the nucleus and cytoplasmic fractions. The other five GmSNAC proteins were targeted to the nucleus. The function of GmSNAC49 gene was further investigated using the overexpression transgenic Arabidopsis. Germination rate in transgenic plants over-expressing GmSNAC49 was delayed in the media supplemented with mannitol or ABA compared with that of wild-type (WT) plants. The 35S:GmSNAC49 transgenic Arabidopsis displayed improved tolerance to drought stress compared to the WT. The results of this systematic analysis of the GmSNAC family responsive to abiotic stress will provide novel tools and resources for the development of improved drought tolerant transgenic soybean cultivars

Comparative time-course expression analyses were carried out to analyze the expression levels of 60 soybean WRKY genes during abiotic stress in order to search for the stress-inducible WRKY genes. Five GmWRKY(Glycine max WKRY) genes having the significant differential expression in response to the drought stress and abscisic acid(ABA) hormone application were further investigated for their expression profiles with various stresses such as drought, high salinity, cold and with ABA treatments by the quantitative real-time PCR analyses. In this research, the full-length cDNAs of five GmWRKY were isolated for the further studies. Five GmWRKY proteins were tested for their transcription activation in the yeast assay system. GmWRKY3 proteins showed the very high transcriptional activities and the other two GmWRKY proteins displayed moderate levels of transactivation while the remaining two GmWRKY proteins lacked transactivation in yeast. Subcellular localization of five GmWRKY proteins was analyzed via the green fluorescent protein-GmWRKY fusion protein in tobacco plant cell and all of GmWRKY proteins were targeted to the nucleus. In order to analyze the function of GmWRKY genes in plant, 35S:GmWRKY overexpression(OE) transgenic Arabidopsis were generated. Root growth and germination rates in transgenic OE plants were investigated in the media supplemented with mannitol, NaCl or ABA compared with that of wild-type(WT) plants. The 35S:GmWRKY42 transgenic Arabidopsis displayed reduced tolerance to drought stress compared to the WT. The results of this systematic analysis of the GmWRKY family responsive to abiotic stress will provide novel tools and resources for the development of improved drought tolerant transgenic soybean cultivars

In this study, 80 F7:8 recombinant inbred lines (RIL), derived from a cross between dent corn and waxy corn, were evaluated for 10 grain yield and eating-related traits over a two-year period. A total of 39 quantitative trait loci (QTLs) and 74 epistatic interactions were confirmed in 2011 and 2012. All QTLs detected in 2011 and 2012, qAC9 (amylose content), qEH4 (ear height), qSEL6 (setted ear length), and q100KW10 (fresh 100 kernel weight) had higher phenotypic variance and were observed in both years; therefore, they may be considered major QTLs. We reported that the QE interaction affects (QTLs and environmental changes) for qEH4, qSEL6, and q100KW10 in discussion. Some new QTLs identified in this study were located on different loci compared with other studies. The genetic region (bin 4.08) strongly controls plant height and ear height, and results from pleiotropy and/or tight linkage. qST3 (including stem thickness) and qEH3 were co-located within two common adjacent simple sequence repeat (SSR) markers (umc2275 and umc1273), whereas qEL6 (ear length) and qSEL6 were co-located within two common adjacent SSR markers (umc2309 and bnlg238). Thus, these SSR markers are a useful selection tool for screening grain yield and yield component traits.

포름알데히드의 고농도와 저농도에 따른 식물의 생리적 반응을 보기 위하여 실험을 실시하였다. 실내식물은 관음죽, 팔손이나무, 스킨답서스를 이용하였으며, 포름알데히드는 0, 2(2.5), 10(12.3), 100(123) ppm(mg･m-3)농도로 처리하였다. 그 결과 포름알데히드 처리에 대한 잎 피해증상은 100 ppm의 고농도에서 5시간 처리 후 검은 반점으로 나타났다. 외관상 피해증상은 어린잎과 노화된 모두에서 나타났으며, 팔손이나무의 경우에는 줄기에서도 일부 나타났다. 피해 잎의 책상조직과 해면조직이 파괴되거나 변형되었다. 전체적으로 Peroxidase와 Catalase 함량은 관음죽>팔손이나무>스킨답서스 순서였으며, 처리농도가 높아질수록 함량도 대체로 증가하였다. 피해가 심한 스킨답서스의 경우 고농도 처리시에 기공이 닫히는 비율이 약 80% 가장 높았으며, Catalase 증가량도 가장 컸다. 결과적으로 100 ppm의 고농도에서 포름알데히드 흡수를 저해하기 위해 기공이 닫히거나 효소 함량의 변화가 일부 나타났으나, 저농도에서 적극적 흡수를 위한 반응은 보이지 않았다.

Neutropenic enterocolitis (NE), the most serious gastrointestinal complication, has been reported as a clinical syndrome that occurs in the setting of disease- or chemotherapy-induced neutropenia. Complications of NE include bowel necrosis with perforation, fistula, stenosis, massive bleeding, abscess formation, and pneumatosis intestinalis (PI). Most physicians recommend initial conservative management with bowel rest, intravenous fluids, total parenteral nutrition, broad-spectrum antibiotics, and normalization of neutrophil counts. Surgical intervention is recommended in the event of obstruction, perforation, persistent gastrointestinal bleeding despite correction of thrombocytopenia and coagulopathy, or clinical deterioration. We experienced a patient whose abdominal computed tomography scan showed pneumoretroperitoneum, intramural gas in the colon, and inferior vena caval gas. Her condition improved after treatment with granulocyte colony-stimulating factor and broad-spectrum antibiotics. We report on this case along with a review of the literature.

Our study is performed to confirm the level of genetic diversity and population structure with 80 maize inbred lines (40 waxy inbred lines and 40 flint inbred lines) and to explain the genetic basis of agronomic traits using an association mapping. The 200 SSR loci are confirmed a total of 1,610 alleles in total 80 maize inbred lines. The average number of alleles per locus was 8.05. The average GD was 0.72. The average PIC value was 0.68. The average MAF was 0.40. Population structure was revealed for K=2. Total 80 maize inbred lines were divided by groups I, II and admixed group. The 14 waxy inbred lines were assigned to group I. The 45 inbred lines include 5 waxy inbred lines and 40 flint inbred lines were contained to group II. The 21 waxy inbred lines were contained in the admixed group with lower than membership threshold 0.8. Association mapping between 200 SSR markers and 10 phenotypic traits of waxy/flint maize inbred lines were performed by Q GLM and Q+K MLM. In significant level at 0.01, 72 SSR markers were associated with 10 phenotypic traits using Q GLM. The 4 marker-trait association were detected in Q+K MLM. The results derived from this study will be used for designing efficient new maize breeding programs.

In this study, we were conducted the construction of the framework map using SSR markers in the F2 population derived from a cross between waxy corn inbred line (02S6140) and sweet corn inbred line (KSS22), and also identifying of QTLs associated with eating quality traits by employing genetic linkage map of F2:3 population. The linkage map was constructed using 295 SSR markers on the 158 F2 individuals derived from a cross of 02S6140 and KSS22. The map comprised a total genomic length of 2,626.5cM in ten linkage groups and an average distance between markers of 8.9cM. Chi-square test revealed that 254 markers (86.1%) associating with all ten chromosomes exhibited a segregation of 1:2:1 Mendelian ratio. A total of 10 QTLs each for pericarp thickness (PER), amylose content (AMY), dextrose content (DEX), and sucrose content (SUC) were detected in the 158 F2 families. The number of QTL per each trait was ranged from 2 to 4, and also phenotypic variance was ranged from 4.26 to 30.71%. For PER, 4 QTLs were found to be controlled by four genomic regions at locations chromosomes 4, 5, 8, and 9 contributing 10.43, 6.71, 6.74, and 7.79% of phenotypic variance, respectively. While 2 QTLs for AMY, DEX, SUC traits, were found to be controlled by two genomic regions at locations chromosomes 4, 6, 8, and 9 contributing between 4.26 and 30.71% of phenotypic variance, respectively. Among them, 4 QTLs, such as qAMY4 (10.43%), qAMY9 (19.33%), qDEX4 (21.31%), and qSUC4 (30.71%), may be considered as a major QTLs, while the remaining six QTLs might be regarded as minor QTLs. In our study, qAMY9 for amylase content was detected on chromosome 9 in marker intervals phi027-umc1634, which was the same locus as encoding wx1 gene. Thus qAMY9 may be thought very useful molecular marker for selecting amylase content trait. The other QTLs may be thought very useful molecular marker for eating quality traits. The resulting genetic map will be useful in dissection of quantitative traits and the identification of superior QTLs from the waxy hybrid corn, and also this study may provide valuable information for the further identification and characterization of genes responsible for eating quality-related traits in waxy corn and sweet corn.

In order to clarify the chromosomal location of quantitative trait loci (QTL) associated with the yield and agronomic traits in waxy corn and sweet corn (Zea maysL.), we were conducted identifying of QTLs associated with yield and agronomic traits by employing genetic linkage map of F2:3 population. A total of 14 QTLs each for days to silking (DTS), plant height (PH), ear height (EH), ear height ratio (ER), ear length (L-Ear) and kernel setting length (L-Sear) were detected in the 158 F2 families. The number of QTL per each trait was ranged from 1 to 6, and also phenotypic variance was ranged from 3.55 to 16.86%. For DTS, one QTLs was found to be controlled by genomic regions at locations chromosomes 1 contributing 9.21% of phenotypic variance. While three QTLs for PH, were found to be controlled by 3 genomic regions at locations chromosomes 1 and 2 contributing 6.68, 6.85 and 8.17% of phenotypic variance, respectively. For EH, six QTLs were found to be controlled by 6 genomic regions at locations chromosomes 1, 7, 8 and 10 range from 3.55 to 11.44% of phenotypic variance. The one QTLs for ER was found at locations chromosomes 1 contributing 7.25% of phenotypic variance. For L-Ear, two QTLs were found to be controlled by 2 genomic regions at location chromosome 7 and 10 contributing 7.40 and 11.63% of phenotypic variance, respetively. The one QTLs for L-Sear was found at locations chromosomes 3 contributing 16.86% of phenotypic variance. Among them, three QTLs, such as qEH8 (11.44%), qLEar10 (11.63%), and qLSear3 (16.86%) may be considered as a major QTLs, while the remaining 11 QTLs might be regarded as minor QTLs. This study may provide valuable information for the further identification and characterization of genes responsible for agronomic traits in waxy corn and sweet corn.

In this study, 18 simple sequence repeat (SSR) primer sets were used to analyze the genetic diversity, genetic relationships, and population structure among 96 accessions of the two cultivated types of Perilla crop and their weedy types in East and Southeast Asia. A total of 168 alleles were identified at all the loci with an average of 9.3 and a range between 3 and 18 alleles per locus. Of the 168 alleles, 21 alleles (12.5%) were private, 67 alleles (39.9%) were rare (frequency < 0.05), 96 alleles (57.1%) were detected at an intermediate frequency (range, 0.05 - 0.50), and five alleles (3.0%) were abundant (frequency > 0.50), respectively. The gene diversity values varied from 0.443 to 0.898 with an average of 0.749. The PIC values varied from 0.397 to 0.890 with an average of 0.721. The gene diversity of each locus for accessions of cultivated var. frutescens, weedy var. frutescens, cultivated var. crispa, and weedy var. crispa were respectively showed 0.662, 0.744, 0.540, and 0.584. On the analysis of population structure using software program STRUCTURE 2.2, the 96 Perilla accessions were divided into Groups I, II, and admixed group. The phylogenetic tree revealed that the 96 accessions cluster into three major groups. No clear geographic structure and also between two cultivated types of Perilla crop and their weedy types were detected. The present study has demonstrated the utility of SSR analysis for the study of genetic diversity, genetic relationships and population structure among 96 accessions of the two cultivated types of Perilla crop and their weedy types in East and Southeast Asia. In our study, SSR markers helped improve our understanding of the genetic diversity, genetic relationships, and population structure of the two cultivated types of P. frutescens and their weedy types in East and Southeast Asia.