• Korean Journal of Microbiology
• /
• v.38 no.2
• /
• pp.67-73
• /
• 2002

The cellular responses of soil-borne bacterium, Pseudomonas sp. HK-6 to explosive 2,4,6-trinitrotoluene (TNT) were examined. Two stress shock proteins (SSPs), approximately 70-kDa DnaK and a 60-kDa GroEL were found in HK-6 cells in response to TNT. Analyses of SDS-PAGE and Western blot using anti-DnaK and GroEL revealed that SSPs were induced in HK-6 cells exposed to 0.5 M of TNT far 6-12 hrs. The maximum induction of proteins was achieved at 8-hr incubation point after HK-6 cells'exposure to TNT. Similar SSPs were found to be induced in HK-6 cells by heat shock (shift of temperature, from $30^{\circ}C$ to $42^{\circ}C$) or cold shock (shift of temperature,$30^{\circ}C$ to $4^{\circ}C$).2D-PAGE of soluble protein tractions from the culture of Pseudomonas sp. HX-6 exposed to TNT demonstrated that approximately 450 spots were observed on the silver stained gels ranging from pH 3 to pH 10. Among them, 12 spots significantly induced and expressed in response to TNT were selected and analyzed. Approximately 60-kDa protein, which was assumed highly expressed on the gel, was used for amino acid sequencing. N-terminal microsequencing with in-gel digestion showed that N-terminal sequence of the TNT-induced protein, <$^1XXAKDVKFGDSARKKML^17$, shared extensive similarity with $^1XXAKDVKFGDSARKKML^17$, N-terminal sequence of (P48216) GroEL of Pseudomonas putida.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.63 no.6
• /
• pp.1-16
• /
• 2021

Global warming due to climate change is expected to significantly affect the hydrological cycle of agriculture. Therefore, in order to predict the magnitude of climate impact on agricultural water resources in the future, it is necessary to estimate the water demand for irrigation as the climate change. This study aimed at evaluating the future changes in water demand for irrigation under two Shared Socioeconomic Pathways (SSPs) (SSP2-4.5 and SSP5-8.5) scenarios for paddy rice in Gimje, South Korea. The APEX-Paddy model developed for the simulation of paddy environment was used. The model was calibrated and validated using the H₂O flux observation data by the eddy covariance system installed at the field. Sixteen General Circulation Models (GCMs) collected from the Climate Model Intercomparison Project phase 6 (CMIP6) and downscaled using Simple Quantile Mapping (SQM) were used. The future climate data obtained were subjected to APEX-Paddy model simulation to evaluate the future water demand for irrigation at the paddy field. Changes in water demand for irrigation were evaluated for Near-future-NF (2011-2040), Mid-future-MF (2041-2070), and Far-future-FF (2071-2100) by comparing with historical data (1981-2010). The result revealed that, water demand for irrigation would increase by 2.3%, 4.8%, and 7.5% for NF, MF and FF respectively under SSP2-4.5 as compared to the historical demand. Under SSP5-8.5, the water demand for irrigation will worsen by 1.6%, 5.7%, 9.7%, for NF, MF and FF respectively. The increasing water demand for irrigating paddy field into the future is due to increasing evapotranspiration resulting from rising daily mean temperatures and solar radiation under the changing climate.

• The Bulletin of The Korean Astronomical Society
• /
• v.40 no.2
• /
• pp.27.2-27.2
• /
• 2015

Strategic plan of Subaru science and operation will be introduced. Currently, Subaru has wide variety of instruments, conducts only classical observations, with less than 5 nights allocation for each proposal. Near future, Subaru will emphasize on surveys, introduce queue mode observations, reduce the number of instruments, and concentrate on large size programs. Large surveys are called Subaru Strategic Programs (SSPs). HSC-SSP is on-going (300 nights for 5 years), PFS-SSP will start at around 2020 (360 nights for 5 years), and IRD-SSP from 2016 (TBD). HSC science includes 1) cosmology with gravitational lensing, 2) lensing studies of galaxies and clusters, 3) photometric redshifts, 4) the Solar system, 5) the Milky Way and the Local Group, 6) AGN/quasars, 7) transients, 8) galaxies at low/high redshifts, and 9) clusters of galaxies. PFS science includes 1) cosmology, 2) galaxy & AGN, and 3) galactic archaeology. Subaru is planning the third pillar instrument, so called ULTIMATE-Subaru, which is the GLAO optical-NIR wide field camera & multi-IFU spectrograph for finding galaxies at ultra high redshift (z>10). Finally the strategy from Subaru to TMT will be presented. Subaru will conduct four major SSPs (HSC, PFS, IRD, ULTIMATE-Subaru) in coming decade to provide targets to TMT. HSC performs wide field surveys to reveal the distribution of dark matter in the Universe. IRD surveys Earth-like young planets to discover ~20 Earth-like habitable planets. PFS studies the expanding Universe to provide a few million emission line galaxies to TMT.

• The Bulletin of The Korean Astronomical Society
• /
• v.38 no.2
• /
• pp.38.1-38.1
• /
• 2013

We present the Yonsei evolutionary population synthesis (YEPS) models based on the high-resolution empirical spectral energy distributions (SEDs). We have adopted the MILES library in the optical wavelength, and our new models based on the MILES library show good agreements with our previous models presented in the YEPS I. The effect of hot horizontal-branch (HB) stars on the integrated properties of simple stellar populations (SSPs) is again confirmed by our models based on empirical SEDs. In addition, we have extended our empirical models to the near-IR wavelength and predicted the strengths of the calcium II triplet (CaT) and the Paschen triplet (PaT) based on the INDO-US and the Cenarro library. We find that the effect of HB stars and the age of SSPs on the CaT is almost negligible. On the other hands, the PaT models are very sensitive to the existence of hot stars, e.g., HB stars and young turn-off stars, and show very similar results with Balmer lines. Interestingly, the CaT distribution of GCs in NGC 1407, which is at odds with the optical (B-I) color distribution, can be explained by the unique feature of the CaT-[Fe/H] relations that show almost the same equivalent widths in the metal-rich regime. We will also discuss the impact of the second-generation populations on the strength of the CaT.

• The Bulletin of The Korean Astronomical Society
• /
• v.45 no.1
• /
• pp.31.3-32
• /
• 2020

The surface brightness fluctuation (SBF) is one of the most crucial distance indicators for unresolved stellar systems at large distances. Here, we present an evolutionary population synthesis model of the surface brightness fluctuation (SBF) for normal and He-enriched simple stellar populations (SSPs). Our SBF model for the normal-He population agrees well with other existing models, but the He-rich populations bring about a substantial change in the SBF of SSPs. Our normal-He SBF model well reproduces the observed SBFs of the Milky Way globular clusters, but the SBFs of early-type galaxies in the Virgo Cluster are placed between the normal-He and He-rich SBF models. We show that the SBF-based distance estimation would be affected by up to a 10-20% level in I- and near-IR bands at given colors. Finally, we propose that when combined with independent metallicity and age indicators such as Mg2 and H��, the UV and optical SBFs can readily detect underlying He-rich populations in unresolved stellar systems. Given the degree of the SBF variation resulting from the population difference, we suggest that the distance measurement before the proper in-depth analysis of stellar populations should be done with great caution.

• Ecology and Resilient Infrastructure
• /
• v.9 no.3
• /
• pp.163-173
• /
• 2022

Climate change is a key factor that greatly influences changes in the biological seasons and geographical distribution of species. In the ecological field, the BioClimatic predictor (BioClim), which is most related to the physiological characteristics of organisms, is used for vulnerability assessment. However, BioClim values are not provided other than the future period climate average values for each GCM for the Shared Socio-economic Pathways (SSPs) scenario. In this study, BioClim data suitable for domestic conditions was produced using 1 km resolution SSPs scenario detailed data produced by Rural Development Administration, and based on the data, a species distribution model was applied to mainly grow in southern, Gyeongsangbuk-do, Gangwon-do and humid regions. Appropriate habitat distributions were predicted every 30 years for the base years (1981 - 2010) and future years (2011 - 2100) of the Acer pictum subsp. mono. Acer pictum subsp. mono appearance data were collected from a total of 819 points through the national natural environment survey data. In order to improve the performance of the MaxEnt model, the parameters of the model (LQH-1.5) were optimized, and 7 detailed biolicm indices and 5 topographical indices were applied to the MaxEnt model. Drainage, Annual Precipitation (Bio12), and Slope significantly contributed to the distribution of Acer pictum subsp. mono in Korea. As a result of reflecting the growth characteristics that favor moist and fertile soil, the influence of climatic factors was not significant. Accordingly, in the base year, the suitable habitat for a high level of Acer pictum subsp. mono is 3.41% of the area of Korea, and in the near future (2011 - 2040) and far future (2071 - 2100), SSP1-2.6 accounts for 0.01% and 0.02%, gradually decreasing. However, in SSP5-8.5, it was 0.01% and 0.72%, respectively, showing a tendency to decrease in the near future compared to the base year, but to gradually increase toward the far future. This study confirms the future distribution of vegetation that is more easily adapted to climate change, and has significance as a basic study that can be used for future forest restoration of climate change-adapted species.

• Korean Journal of Environmental Biology
• /
• v.40 no.2
• /
• pp.214-223
• /
• 2022

Among migratory insect pests, Mythimna seperata and Cnaphalocrocis medinalis are invasive pests introduced into South Korea through westerlies from southern China. M. seperata and C. medinalis are insect pests that use rice as a host. They injure rice leaves and inhibit rice growth. To understand the distribution of M. seperata and C. medinalis, it is important to understand environmental factors such as temperature and humidity of their habitat. This study predicted current and future habitat suitability models for understanding the distribution of M. seperata and C. medinalis. Occurrence data, SSPs (Shared Socio-economic Pathways) scenario, and RCP (Representative Concentration Pathway) were applied to MaxEnt (Maximum Entropy), a machine learning model among SDM (Species Distribution Model). As a result, M. seperata and C. medinalis are aggregated on the west and south coasts where they have a host after migration from China. As a result of MaxEnt analysis, the contribution was high in the order of Land-cover data and DEM (Digital Elevation Model). In bioclimatic variables, BIO_4 (Temperature seasonality) was high in M. seperata and BIO_2 (Mean Diurnal Range) was found in C. medinalis. The habitat suitability model predicted that M. seperata and C. medinalis could inhabit most rice paddies.

• The Journal of the Acoustical Society of Korea
• /
• v.14 no.1E
• /
• pp.5-13
• /
• 1995

In order to estimate the variability of the wave propagation loss (PL) du e to hourly variations of the sound speed profiles (SSPs), we conducted oceanographic measurements every hour for 39 hours in October 1993 in the Korea Strait. Currents and meteorological data were measured simultaneously to examine the causes of the temporal variations of temperatures. During the experiment, the temporal variations of temperatures in the surface layer highly depend on the water mass transport from adjacent seas. The PL for low frequency (75-300 Hz) is calculated using the parabolic equation scheme and averaged over the whole water depth. The hourly variation of the SSP may cause a PL difference of up to 10 dB over a 30-50 km range. The variability of PL, represented by standard deviation for the 39 SSPs, is as large as 3 dB over a 50 km range.

• Journal of Plant Biotechnology
• /
• v.47 no.3
• /
• pp.209-217
• /
• 2020

The presence of high amounts of seed storage proteins (SSPs) improves the overall quality of soybean seeds. However, these SSPs pose a major limitation due to their high abundance in soybean seeds. Although various technical advancements including mass-spectrometry and bioinformatics resources were reported, only limited information has been derived to date on soybean seeds at proteome level. Here, we applied a tandem mass tags (TMT)-based quantitative proteomic analysis to identify the significantly modulated proteins in the seeds of two soybean cultivars showing varying protein contents. This approach led to the identification of 5,678 proteins of which 13 and 1,133 proteins showed significant changes in Daewon (low-protein content cultivar) and Saedanbaek (high-protein content cultivar) respectively. Functional annotation revealed that proteins with increased abundance in Saedanbaek were mainly associated with the amino acid and protein metabolism involved in protein synthesis, folding, targeting, and degradation. Taken together, the results presented here provide a pipeline for soybean seed proteome analysis and contribute a better understanding of proteomic changes that may lead to alteration in the protein contents in soybean seeds.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2021.06a
• /
• pp.37-37
• /
• 2021

아시아 지역은 전 세계 인구의 60%가 집중되어 있으며, 지역 내에는 다양한 기후대가 혼재되어 있다. 통상, 기후대는 지역의 전반적인 기후 및 가용 수자원 특성을 파악하는데 유용하게 활용된다. 지구온난화의 영향으로 지역의 기후변동성은 심화되고 있으며, 이는 급격한 기후대 이동을 초래할 것으로 전망된다. 본 연구에서는 AR6 기후변화시나리오를 기반으로 전지구 기온상승에 따른 아시아 지역의 기후대 변화특성을 분석하였다. CMIP6 GCMs 및 공유사회경제경로(SSP1-2.6 및 SSP5-8.5) 시나리오를 활용하여 앙상블 기후변화시나리오를 산출하였다. 관측 및 시나리오 자료를 활용하여 산업화 이전 대비 미래 전지구 기온상승(1.5℃~5.0℃) 특성을 추정하였다. 통계적상세화 기법을 적용하여 기후변화시나리오를 상세화하고, 쾨펜 기후구분법을 적용하여 기후특성에 따라 기후대를 구분하였다. 이후, 개별 전지구 기온상승 조건 하에서 아시아 지역의 기후대 분포 및 변화특성을 분석하였다. 전지구 기온이 상승함에 따라 아시아 지역 전반에서 기후대 변화가 가속화되는 것으로 확인되었으며, 이는 모든 SSPs 및 GCMs 시나리오 하에서 동일하였다. 전지구 기온 상승폭은 SSP1-2.6 대비 SSP5-8.5 시나리오 하에서 크게 나타났으며, 동일한 1.5℃ 및 2.0℃ 기온상승 조건에 도달하는 시기도 SSP5-8.5 시나리오에서 현저히 빠른 것으로 분석되었다. 한편, 기후대 이동이 나타나는 지역은 전지구 기온이 상승함에 따라 증가하였으며 5.0℃ (SSP5-8.5) 기온상승 조건 하에서 변화량이 가장 큰 것으로 분석되었다. 다만, 동일한 기온상승 조건 하에서는 SSP 시나리오와 관계없이 기후대 변화 면적 및 공간적 변화패턴이 유사하였다. 기온상승에 따라 아시아 지역 내 열대기후와 건조기후 지역은 확대되는 반면, 온대 및 한랭, 극기후 지역은 줄어들 것으로 전망되었다. 본 연구에서 도출된 전지구 기온상승 조건 별 아시아 지역의 미래 기후대 변화특성은 지역별 기후변화 영향평가 시 기초자료로 활용될 수 있다.