본 연구에서는 Flammulina velutipes var. lupinicola의 laccase 유전자를 동정하고 최적 활성 pH, 온도, 시간을 분석하고 하였다. F. velutipes var. lupinicola 유전체에서 선별된 laccase 유전자 서열을 바탕으로 구리 결합 부위 및 신호 펩타이드 분석을 수행한 결과 5종의 laccase 유전자(g1934, g1937, g2415, g2539, g5858)를 동정하였다. 5종의 선별된 laccase 유전자 크기는 1,488~1,662 bp로 확인되었고, cDNA 염기서열 분석 결과 14~17개의 인트론이 확인되었다. Laccase 유전자의 신호펩타이드로 예측된 절단 부위는 N-말단으로부터 20~34 bp 사이에 위치하는 것으로 확인되었다. F. velutipes var. lupinicola laccase의 활성 특성을 규명하기 위해 분리 정제를 수행하였으며, Zymogram을 수행하여 0.2 M 및 0.3 M NaCl과 1.6 M 및 1.7 M의 ammonium sulfate로 정제된 단백질에서 5개의 laccsae 활성 밴드를 확인하였다. pH, 온도 및 시간별로 분리 정제된 단백질의 최적 활성을 분석한 결과, 반응의 최적 pH는 5.5이고 최적 온도는 40 ̊C로 확인되었다. 따라서 본 연구를 통하여 확인된 F. velutipes var. lupinicola 유전체의 laccase 유전자 구조 및 활성에 대한 특성은 laccase를 이해하는 데 도움이 될 것이며 추가 연구를 통하여 향후 다양한 산업적 활용이 가능할 것으로 사료된다.

Entomopathogenic fungi play an important natural role in regulating their insect host populations, and their ecology was also associated with plant and soil. These microorganisms have been living by reacting to insect, plant and environmental factor. The advanced bioinformatics technology such as next-generation sequencing and RNA sequencing has revolutionized in understanding of entomopathogenic fungi. Recently studies provided a lot of information on evolutionary relationships and virulence-related characteristics. We are starting to know where these microorganisms from is, and how they live in nature. The bioinformatics technology will give us further our understanding of the natural roles of these fungi in nature.

Bioinformatics service is very new and emerging in market that provides information such as whether or not occurrence of a particular disease through the base of DNA(Deoxyribonucleic Acid) & RNA(Ribo Nucleic Acid) sequence analysis. Recently, interest growing rapidly in utilization of the industrial purpose, but provision of commercialization like pricing and service packaging is not enough to go to market. For go-to-market, firstly refine the services and perform cost calculation of services in cost-plus method then estimate consumer utility by conducting conjoint analysis. Collectively, with cost and consumer utility result, optimal service price can be calculated.

Functional identification of rice on a whole genome scale is required to significantly improve the quality of rice, rice yield, and stress tolerance in response to changing climate. In addition to conventional approaches, new methodologies are required for identification of key genes associated with new agronomical traits. Systems biology is an upcoming trend in the field of functional genomics. Recently, there has been a significant improvement in the resources for systems biology in Oryza sativa (rice), a model crop. These resources include whole genome sequencing/re-sequencing data, transcriptomes, protein-protein interactomes, reactomes, functional gene network tools, and gene indexed mutant populations. The integration of diverse omics data can lead to greater understanding of the functional genomics of rice. Here, we address the development and current progress of the resources available for systems biology in rice: Genome browsers and databases for the orthology identification, transcriptome analysis, protein-protein interaction network and functional gene network analyses, co-expression network, metabolic pathway analysis for promoter analysis, and gene indexed mutants.

Receptor mediated signal carriers play a critical role in regulation of plant defense and development. Rapid Alkalization Factor (RALF) is an important signaling family which has a role in plant growth and development. However, only few RALF polypeptides have been identified till date, mainly because of enormous efforts required for their isolation or identify their gene through mutational analysis. In this study, an extensive database search yield 39, 43, 34 and 23 potential RALF genes in Arabidopsis, rice, corn and soybeans, respectively. RALF genes are highly conserved across the plant species. A comprehensive analysis including the chromosomal location, gene structure, subcellular location, conserved motif, protein structure and promoter analysis was performed. RALF genes from four plants under study were divided in 7 groups based on phylogenetic analysis. In silico expression analysis of these genes, using microarray and EST data, reveled that these genes exhibit a variety of expression pattern. Furthermore, RALF genes showed distinct expression pattern under nitricoxide (NO) stress in Arabidopsis. This suggests a role of RALF genes in plant defense regulation. Our comprehensive analysis of RALF genes is a valuable resource that further elucidates the roles of RALF family members in plant growth and development. In addition, comparative genomics analyses deepen our understanding of the evolution of RALF gene family and will contribute to further genetics and genomics studies of other monocot and dicot plant species.