Project description:Viral concentrates (VCs) contained both viral particles and cell-affiliated components. In this study, a shotgun metaproteomic approach was applied to characterize proteins in the VCs collected from chlorophyll maximum, mesopelagic (200 m) and bathypelagic (3000 m) waters in the South China Sea. Abundant viral proteins indicated the shift of viral community as depth. Whereas the remaining non-viral proteins suggested the diverse microbial metabolism distinct at different layers.
Project description:we applied metaproteomic approach to capture proteins from three size-fractionated microbial communities at the DCM in the basin of the South China Sea. The deep recovery of proteomes from a marine DCM plankton assemblage provides the highest resolution of metabolic activities as well as microbial niche differentiation, revealing a spectrum of biological processes carrying out by microbes at DCM of the SCS.
Project description:Understanding and quantifying the effects of environmental factors influencing the variation of abundance and diversity of microbial communities was a key theme of ecology. For microbial communities, there were two factors proposed in explaining the variation in current theory, which were contemporary environmental heterogeneity and historical events. Here, we report a study to profile soil microbial structure, which infers functional roles of microbial communities, along the latitudinal gradient from the north to the south in China mainland, aiming to explore potential microbial responses to external condition, especially for global climate changes via a strategy of space-for-time substitution. Using a microarray-based metagenomics tool named GeoChip 5.0, we showed that microbial communities were distinct for most but not all of the sites. Using substantial statistical analyses, exploring the dominant factor in influencing the soil microbial communities along the latitudinal gradient. Substantial variations were apparent in nutrient cycling genes, but they were in line with the functional roles of these genes. 300 samples were collected from 30 sites along the latitudinal gradient, with 10 replicates in every site
Project description:Understanding and quantifying the effects of environmental factors influencing the variation of abundance and diversity of microbial communities was a key theme of ecology. For microbial communities, there were two factors proposed in explaining the variation in current theory, which were contemporary environmental heterogeneity and historical events. Here, we report a study to profile soil microbial structure, which infers functional roles of microbial communities, along the latitudinal gradient from the north to the south in China mainland, aiming to explore potential microbial responses to external condition, especially for global climate changes via a strategy of space-for-time substitution. Using a microarray-based metagenomics tool named GeoChip 5.0, we showed that microbial communities were distinct for most but not all of the sites. Using substantial statistical analyses, exploring the dominant factor in influencing the soil microbial communities along the latitudinal gradient. Substantial variations were apparent in nutrient cycling genes, but they were in line with the functional roles of these genes.
Project description:Analysis of U251 glioblastoma multiforme (GBM) cells treated with a new culcita novaeguineae asterosaponion, CN-3. A new asterosaponin was isolated from culcita novaeguineae, an abundant marine resource in the south China sea. The asterosaponin induced significant growth inhibition with a 50% inhibitory concentration at 48 h of 2.013 μg/mL in U251MG cells. 1.8μg/mL of the asterosaponin reduced U251 MG cells viability from 100 % to 42.5% (24 h), 37.4% (48 h) and 52.1% (72 h). In this study, a microarray analysis was performed using RNA prepared from U251MG GBM cells treated with the asterosaponion. These data revealed that 661 genes had significant differential expressions.
