Aquatic metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA350229 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Metagenomic sequencing of 16S rRNA reveal the bacterial community in Lake Tai and Lake Yangcheng
| PRJNA351795 | ENA
Project description:Effect of bacterial immigration for local lake bacterial community composition dynamics
| PRJNA243351 | ENA
Project description:<p>Cyanobacterial blooms result from continued short-term succession of planktonic microbiomes, but these short-term variations are little known. Here we address this question with a field diel study in Lake Tai. By integrating untargeted metabolomics—verified by targeted metabolomics—and metagenomics, we reveal the diel cycle of planktonic microbiome in Lake Tai are highly dynamic and complex. First, metabolite abundance and their molecular mass display clear diel changes along with shift in the taxon abundance and biological functions, following the same environmental factors. Some taxa and biological functions (reactions) are highly correlated with the metabolite abundance, and large compounds appear to be more taxon specific. Second, phytoplanktonic and overall planktonic microbiome showed different temporal variation of abundance, opposite levels of abundance and different molecular sizes, and different inter- and intra-specific diversity dynamics. Last, planktonic microbiomes are highly dynamic and complex in inter- and intraspecific diversity in merely one diel cycle, which point to different temperature preference between species, Microcystis aeruginosa and Anabaena sp. This difference was experimentally confirmed in laboratory. Using a multi-omics approach, our study underscores the importance of diel interaction triad between population abundance, biological functions, and environmental factors in leading to microbiome structural change and blooms.</p>
2022-03-02 | MTBLS3038 | MetaboLights
Project description:Linking bacterial community composition with bacterial DOC degradation
| PRJNA193478 | ENA
Project description:Total bacterial DNA was isolated from water and sediment samples from a local watershed and 16S rRNA sequences were analyzed using the Illumina MiSeq v3 platform in order to generate snapshots of bacterial community profiles.
2016-01-01 | GSE73842 | GEO
Project description:Soil transplant serves as a proxy to simulate climate change in realistic climate regimes. Here, we assessed the effects of climate warming and cooling on soil microbial communities, which are key drivers in EarthM-bM-^@M-^Ys biogeochemical cycles, four years after soil transplant over large transects from northern (N site) to central (NC site) and southern China (NS site) and vice versa. Four years after soil transplant, soil nitrogen components, microbial biomass, community phylogenetic and functional structures were altered. Microbial functional diversity, measured by a metagenomic tool named GeoChip, and phylogenetic diversity are increased with temperature, while microbial biomass were similar or decreased. Nevertheless, the effects of climate change was overridden by maize cropping, underscoring the need to disentangle them in research. Mantel tests and canonical correspondence analysis (CCA) demonstrated that vegetation, climatic factors (e.g., temperature and precipitation), soil nitrogen components and CO2 efflux were significantly correlated to the microbial community composition. Further investigation unveiled strong correlations between carbon cycling genes and CO2 efflux in bare soil but not cropped soil, and between nitrogen cycling genes and nitrification, which provides mechanistic understanding of these microbe-mediated processes and empowers an interesting possibility of incorporating bacterial gene abundance in greenhouse gas emission modeling. Fifty four samples were collected from three soil types (Phaeozem,Cambisol,Acrisol) in three sites (Hailun, Fengqiu and Yingtan) along a latitude with reciprocal transplant; Both with and without maize cropping in each site; Three replicates in every treatments.
2013-10-30 | E-GEOD-51592 | biostudies-arrayexpress
Project description:microbial community diversity of antarctic lake water
| PRJNA260332 | ENA
Project description:This study investigates temporal dynamics in microbial community function within the freshwater ecosystem of Lake Zurich, Switzerland, over three months (36 timepoints). Metagenome-assembled genomes (MAGs) and metaproteomes were analyzed to identify species-specific and community-level protein expression patterns. The study explores how bacterial species contribute to ecosystem functioning through protein-level activity, focusing on relationships between species taxonomy, abundance, and protein investment patterns.
2026-06-02 | PXD070123 | Pride
Project description:Soil transplant serves as a proxy to simulate climate change in realistic climate regimes. Here, we assessed the effects of climate warming and cooling on soil microbial communities, which are key drivers in Earth’s biogeochemical cycles, four years after soil transplant over large transects from northern (N site) to central (NC site) and southern China (NS site) and vice versa. Four years after soil transplant, soil nitrogen components, microbial biomass, community phylogenetic and functional structures were altered. Microbial functional diversity, measured by a metagenomic tool named GeoChip, and phylogenetic diversity are increased with temperature, while microbial biomass were similar or decreased. Nevertheless, the effects of climate change was overridden by maize cropping, underscoring the need to disentangle them in research. Mantel tests and canonical correspondence analysis (CCA) demonstrated that vegetation, climatic factors (e.g., temperature and precipitation), soil nitrogen components and CO2 efflux were significantly correlated to the microbial community composition. Further investigation unveiled strong correlations between carbon cycling genes and CO2 efflux in bare soil but not cropped soil, and between nitrogen cycling genes and nitrification, which provides mechanistic understanding of these microbe-mediated processes and empowers an interesting possibility of incorporating bacterial gene abundance in greenhouse gas emission modeling.
2013-10-30 | GSE51592 | GEO
Project description:Total bacterial DNA was isolated from water and sediment samples from a local watershed and 16S rRNA sequences were analyzed using the Illumina MiSeq v3 platform in order to generate snapshots of bacterial community profiles. A total of 56 samples were collected that represent water and sediment samples from 14 sample sites over two different time points (November 18 and 25, 2011).
2016-07-03 | E-GEOD-73842 | biostudies-arrayexpress