Leachate generation is an inevitable consequence of waste disposal in landfills. Numerous mathematical modelshave been developed to simulate leachate occurrence and behavior. However, these models have been successful toa limited extent because of uncertainties associated with biological, chemical, and physical processes in landfills. Inorder to predict the generation of leachate in closed landfills, correlation analysis was conducted based on precipitationin this paper. Regression analysis for deriving the correlation between precipitation and leachate generation rate wasperformed in a closed landfill. As a result, we found that the amount of leachate which is generated regardless ofprecipitation should be considered as well as the percolation of precipitation. Also, it was possible to make an fairlyaccurate prediction of leachate generation only using precipitation data in this paper. It is suggested that the amountof leachate generation is 4~8% of monthly precipitation and about 25,000m3/month of base generation regardlessof precipitation. However, the predicted values of leachate generation for the high precipitation seasons were not closeto those observed.

Olive flounder (Paralichthys olivaceus) is a most important aquaculture species in Korea. Like most marine fishes, olive flounders are stomachless at first feeding and aquired gastric function during the metamorphosis, so food was mainly digested by pancreatic enzyme from first feeding to premetamorphosis. However, comprehensive analysis of pancreatic and gastric digestive enzyme of olive flounder at early developmental period is still unclear. In the expression study of pancreatic and gastric digestive enzyme by real-time PCR at early developmental stage, pancreatic enzyme such as chymotrypsinogen 2, preproelastase 2 and 4, pancreatic protein somatomedin-B domain (PPSB) mRNA expression were initiated at first feeding and strongly expressed in the pancreas developmental stage, while gastric digestive enzyme signal was not at all detected during same period. Although, trypsinogens were secreted from pancreas and have similar amino acid sequence, trypsinogen 3 expression induction was detected both pancreas and stomach developmental stage, while trypsinogen 2 expression was significantly increased only post-metamorphosis period. Pepsinogen mRNA expression was only detected at metamorphosis according to stomach differentiation. Lipid digestive enzyme, lipase and intestine fatty acid binding protein 1 (I-FABP 1), were already reached a certain level at beginning of hatching and more increased during early developmental stage and then gradually decreased before metamorphosis. These results suggested that feed ingestion of olive flounder was exclusive charged by pancreatic digestive enyme, lipid digestive enzyme and trypsinogen 3 from first feeding and then fully swiched by gastric digestive enzyme and trypsinogen 2 from metamorphosis period.

Gibberellic acid (GA) is a well-characterized plant hormone, which plays a critical role in various plant growth and development. including stem elongation, floral indcution and seed development. GA is known to cause enlargement of ripening fruits and, especially in grapevines, GA shows a unique function: the induction of seedlessness in seeded grape varieties. However, despite extensive previous studies about GA, there has been no clear verification of the mechanism that induces seedlessness in grapes. To understand how GA treatment results in artificial parthenocarpy of seeded grapes at molecular levels, we analyzed transcriptional changes in seeded grapes with and without GA application in various inflorescence developmental stages using RNA-seq. At 14 days before flowering (DBF), seeded grapes were treated with 100 ppm GA and clusters were collected at three developmental stages: 7 DBF, full bloom, and 5 days after flowering (DAF). Of a total of 28,974 genes that were mapped to grape genome reference sequences, 7,013 and 9,064 genes were up- and down-regulated, respectively, in the GA-treated grape as compared to the non-GA-treated control at 7 DBF, full bloom, and 5 DAF. Clustering analysis revealed that these genes could be grouped into 9 clusters with different expression patterns. We also carried out functional annotation based on gene ontology categories. There were significant differences in the expression of the GA and auxin-related gene families. These findings expand our understanding of the complex molecular and cellular mechanisms of GA-induced parthenocarpy of grapes and provide a foundation for future studies on seed development in grapevines.

R genes are a key component of genetic interactions between plants and biotrophic bacteria and are known to regulate resistance against bacterial invasion. The most common R proteins contain a nucleotide-binding site and a leucine-rich repeat (NBS-LRR) domain. Some soybean NBS-LRR genes have also been reported to function in disease resistance. A total of 319 genes were determined to be putative NBS-LRR genes in the soybean genome. The number of NBS-LRR genes on each chromosome was highly correlated with the number of disease resistance QTL in the 2-Mb flanking regions of NBS-LRR genes. In addition, the recently duplicated regions contained duplicated NBS-LRR genes and duplicated disease resistance QTL, and possessed either an uneven or even number of NBS-LRR genes on each side. The significant difference in NBS-LRR gene expression between a resistant near-isogenic line (NIL) and a susceptible NIL after inoculation of Xanthomonas axonopodis pv. glycines supports the conjecture that NBS-LRR genes have disease resistance functions in the soybean genome. The number of NBS-LRR genes and disease resistance QTL in the 2-Mb flanking regions of each chromosome was significantly correlated, and several recently duplicated regions that contain NBS-LRR genes harbored disease resistance QTL for both sides. In addition, NBS-LRR gene expression was significantly different between the BLP-resistant NIL and the BLP-susceptible NIL in response to bacterial infection. From these observations, NBS-LRR genes are suggested to contribute to disease resistance in soybean. Moreover, we propose models for how NBS-LRR genes were duplicated, and apply Ks values for each NBS-LRR gene cluster.

Phomopsis seed decay (PSD), primarily caused by Phomopsis longicolla, is a major contributor to poor soybean seed quality and significant yield loss, particularly in early maturing soybean genotypes. However, it is not yet known whether PSD resistance is associated with early maturity. This study was conducted to identify quantitative trait loci (QTLs) for resistance to PSD and maturity time using a recombinant inbred line (RIL) population derived from a cross between the PSD-resistant Taekwangkong and the PSD-susceptible SS2-2. Based on a genetic linkage map incorporating 117 simple sequence repeat markers, QTL analysis revealed two and three QTLs conferring PSD resistance and maturity time, respectively, in the RIL population. Two QTLs (PSD-6-1 and PSD-10-2) for PSD resistance were identified in the intervals of Satt100-Satt460 and Sat_038-Satt243 on chromosomes (Chrs) 6 and 10, respectively. These QTLs do not overlap with any previously reported loci for PSD resistance in other soybean genotypes. Two QTLs explained phenotypic variances in PSD resistance of 46.3% and 14.1%, respectively. Among three QTLs for maturity time, two (Mat-6-2 and Mat-10-3) were located at positions similar to the PSD resistance QTLs. The identification of the QTLs linked to both PSD resistance and maturity time indicates a biological correlation between these two traits. The newly identified QTLs for resistance to PSD associated with maturity time in Taekwangkong will help improve soybean resistance to P. longicolla.

Recent release of whole genome draft sequences in legume species have led comparative genome studies among legume plants including Glycine max, G. soja, Cajanus cajan and Medicago truncatula. The majority of comparative genomic researches have been conducted based on synteny of coding sequences and coding sequence variations may be one of major forces for speciation and evolution. However, non-coding sequences have been also reported to be important phenotypic regulators. Especially, since short sequence motifs in the promoter regions are highly conserved, they are suggested to be another resources of interests in comparative studies. In this study, we predicted the conserved short sequence motifs by BLASTN algorithm using dicot promoter database from Softberry (http://www.softberry.com). A total of 37,396 conserved short sequence motifs were identified onto 2 kb upstreams of 46,367 high confident gene model of G. max (cv. Williams 82). Meanwhile, whole genome of 7 soybean landraces (G. max) and 7 wild soybean genotypes (G. soja) were sequenced at low depth of less than ten using Illumina Hiseq 2000. Among these genotypes, nucleotide variations were identified in predicted conserved regulatory motifs by mapping of short reads to the reference genome sequence using the Samtools program (http://samtools.sourceforge.net/). Fifteen and two genes, which have SNPs in regulatory motifs and no SNP in coding sequence, were identified by comparisons of inter-species and intra-species, respectively. qRT-PCR experiments are in progress for investigating differences of these 17 genes expressions at transcriptional level.

As soybean (Glycine max) is known for its high nutritional value of oil and protein, soybean has been domesticated and cultivated by one specific character trait based on human selection. Importantly, tracing back in time where G. max and G. soja, the undomesticated ancestor of G. max have diverged plays an important role in studying of genetic diversity and in investigating the common ancestor of soybean. In this study, we sequenced 6 G. max and 6 G. soja using Illumina’s Hiseq 2000 with a low coverage sequencing technology to estimate the divergence of times between genotypes and populations. A total of the 12 genotypes were sequenced at the average depth of 6.5 and resulted 892.5 Mb and 903.3 MB consensus sequences with the coverage of 91.54% and 92.65% for G. max and G. soja, respectively. The whole genome SNP analysis showed that G. max had lower frequency levels of polymorphism (~0.1%) than G. soja (~0.25%). And, a high number of SNPs located in introns were found among 6 G. soja genotypes as SNPs were approximately twice than those found in 6 G max. The number of SNPs in G. max intronic regions was 53,134, whereas a total of 133,329 SNPs were discovered in G. soja introns. Almost an equal number of SNPs were discovered in 5’ UTR and exon regions; however, different numbers of SNP in CDS and 3′ UTR were identified. By the rate of nonsynonymous change, divergence of time between G. soja and G. max would be investigated.

Mutagenesis approach in combination with whole genome sequencing has become an import role in genetic and molecular biological study and breeding of crop plants. In this study, we screened the fast neutron M4 10,000 soybean mutant plants based on morphological phenotypes of agronomically important traits and characterized the mutant of interest using resequencing. Fast neutron radiation has been known to be a very effective mutagen to cause large deletion in genome. The screened mutant showed abnormal phenotypes in plant heights, seed sizes, color of leaves, number of leaves, maturity and number of branches etc. Among them, the mutant displaying short plant height and bush type of growth habit was selected for identification of the altered genomic regions. Analysis of deletion sites of genome in interesting soybean mutant was performed using next generation sequencer Illumina Hi-seq. Mutant sequence reads generated by paired-end shotgun library were mapped on a draft soybean reference soybean (G. max cv. Williams 82). The paired-end DNA sequences of 21.6 Gb produced by Illumina Hi-seq produced 21 fold sequence depth. Among the predicted deletion sites, total 3 deletion regions confirmed by PCR. Glyma03g02390 gene and Glyma03g03560 gene were involved in the deletion regions. Glyma03g02390 gene was related to AMP binding, catalytic activity, cofactor binding and metabolic process of cell growth and Glyma03g03560 gene was concerned to oxygen binding, defense response to bacterium, and especially process of indole acetic acid (IAA) biosynthesis. These genes detected in this mutant will be studied about their molecular function in stunted phenotype.

The objective of this study was to rapidly evaluate fatty acids in a collection of foxtail millet (Setaria italica (L.) P. Beauv) of different origins so that this information could be disseminated to breeders to advance germplasm use and breeding. To develop the calibration equations for rapid and nondestructive evaluation of fatty acid content, near-infrared reflectance spectroscopy (NIRs) spectra (1104-2494 nm) of samples ground into flour (n=100) were obtained using a dispersive spectrometer. A modified partial least-squares model was developed to predict each component. For foxtail millet germplasm, our models returned coefficients of determination (R2) of 0.91, 0.89, 0.98 and 0.98 for strearic acid, oleic acid, linoleic acid, and total fatty acids, respectively. The prediction of the external validation set (n=10) showed significant correlation between references values and NIRs values (r2=0.97, 0.91, 0.99 for oleic, linoleic, and total fatty acids, respectively). Standard deviation/standard error of cross-validation (SD/SECV) values were greater than 3 (3.11, 5.45, and 7.50 for oleic, linoleic, and total fatty acids, respectively). These results indicate that these NIRs equations are functional for the mass screening and rapid quantification of the oleic, linolenic, and total fatty acids characterizing foxtail millet germplasm. Among the samples, IT153491 showed an especially high content of fatty acids (84.06 mg g-1), whereas IT188096 had a very low content (29.92 mg g-1).

Phytic acid, myo-inositol (1, 2, 3, 4, 5, 6)-hexakisphosphate, is a material that plants store phosphorus in seeds. Phytic acid is classified as an antinutrient because of indigestibility. Non-ruminant animals, such as human and swine, excrete unavailable phytic acid. The unavailable phytic acid run off to ground water, river, sea, causing eutrophication as a factor. Accordingly, low-phytic acid crops draw the attention due to both nutritional and environmental reasons. Using more than 900 Glycine accessions including G. max, G. soja and G. gracillis, colormetric method was applied for detecting low-phytic acid mutant. Two hundred fifty accessions were screened by the colormetric method so far, but no mutant was identified. Screening of mutants with the rest 710 accessions is in progress. MIPS1 (D-myo-inositol 3-phosphate synthase) is considered as gene related to phytic acid content in soybean. Also, lpa1 (Zea mays low phytic acid 1) known as controlling phytic acid content in maize was recently reported that homologs of lpa1 were responsible for phytic acid content in soybean and located on linkage groups L and N (Chromosomes 19 and 3). After primers were designed from these three candidate genes for phytic acid content, identification of genes responsible for low phytic acid and investigation of genetic variation among 960 accessions will be performed as further study.