Aquatic metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA272856 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR2889590.fastq.gz | Fastqsanger.gz | |||
| SRR2889600.fastq.gz | Fastqsanger.gz | |||
| SRR2889610.fastq.gz | Fastqsanger.gz | |||
| SRR2889620.fastq.gz | Fastqsanger.gz | |||
| SRR2889630.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 81 |
Similar Datasets
Project description:Manipulation experiments metagenomes
| PRJEB64576 | ENA
Project description:Genome-wide transcriptional profiling showed that reducing gravity levels in the International Space Station (ISS) causes important alterations in Drosophila gene expression intimately linked to imposed spaceflight-related environmental constrains during Drosophila metamorphosis. However, simulation experiments on ground testing space-related environmental constraints, show differential responses. Curiously, although particular genes are not common in the different experiments, the same GO groups including a large multigene family related with behavior, stress response and organogenesis are over represented in them. A global and integrative analysis using the gene expression dynamics inspector (GEDI) self-organizing maps, reveals different degrees in the responses of the transcriptome when using different environmental conditions or microgravity/hypergravity simulation devices These results suggest that the transcriptome is finely tuned to normal gravity. In regular environmental conditions the alteration of this constant parameter on Earth can have mild effects on gene expression but when environmental conditions are far from optimal, the gene expression is much more intense and consistent effects.
2013-06-26 | GSE33779 | GEO
Project description:Genomic responses to rapid environmental change
| PRJEB68321 | ENA
Project description:Assessing Ecosystem Responses of Gulf of Mexico Communities to OA using Environmental DNA
| PRJNA887017 | 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:Fire disturbances are becoming more common, more intense, and further-reaching across the globe, with consequences for ecosystem functioning. Importantly, fire can have strong effects on the soil microbiome, including community and functional changes after fire, but surprisingly little is known regarding the role of soil fire legacy in shaping responses to recent fire. To address this gap, we conducted a manipulative field experiment administering fire across 32 soils with varying fire legacies, including combinations of 1-7 historic fires and 1-33 years since most recent fire. We analyzed soil metatranscriptomes, determining for the first time how fire and fire legacy interactively affect metabolically-active soil taxa, the microbial regulation of important carbon (C), nitrogen (N) and phosphorus (P) cycling, expression of carbohydrate-cycling enzyme pathways, and functional gene co-expression networks. Experimental fire strongly downregulated fungal activity while upregulating many bacterial and archaeal phyla. Further, fire decreased soil capacity for microbial C and N cycling and P transport, and drastically rewired functional gene co-expression. Perhaps most importantly, we highlight a novel role of soil fire legacy in regulation of microbial C, N, and P responses to recent fire. We observed a greater number of functional genes responsive to the interactive effects of fire and fire legacy than those affected solely by recent fire, indicating that many functional genes respond to fire only under certain fire legacy contexts. Therefore, without incorporating fire legacy of soils, studies will miss important ways that fire shapes microbial roles in ecosystem functioning. Finally, we showed that fire caused significant downregulation of carbon metabolism and nutrient cycling genes in microbiomes under abnormal soil fire histories, producing a novel warning for the future: human manipulation of fire legacies, either indirectly through global change-induced fire intensification or directly through fire suppression, can negatively impact soil microbiome functional responses to new fires.
2024-08-12 | GSE274211 | GEO
Project description:Bacteria transform nutrients and degrade organic matter, making them an essential part of healthy ecosystems. By assaying bacterial physiology within a complex system, the status of the whole ecosystem can be investigated. Proteins are the dynamic molecules that control essential bacterial physiological responses and those of every organism; characterizing an organism's proteome can therefore provide information on its interaction with the environment. Data dependen proteomic analysis (DDA) is a global approach to assay the entire proteome, but sample complexity and the stochastic nature of mass spectrometry can make it difficult to detect low abundance proteins. We explored the development of targeted proteomic (selected reaction monitoring, SRM) assays in complex ocean samples in order to detect specific bacterial proteins of interest and to assess new tools for mixed community metaproteomic exploration. A mixed community was created from a dilution series of isolated culture of bacteria (Ruegeria pomoeroyi) and phytoplankton (Thalassiosira pseudonana). Using SRM, we were able to detect bacterial peptides from the community that were undetectable with the standard DDA approach. We demonstrate benefits and drawbacks of different proteomic approaches that can be used to probe for and resolve nuances of bacterial physiological processes in complex environmental systems.
2017-02-02 | PXD004758 | Pride
Project description:Bacteria transform nutrients and degrade organic matter, making them an essential part of healthy ecosystems. By assaying bacterial physiology within a complex system, the status of the whole ecosystem can be investigated. Proteins are the dynamic molecules that control essential bacterial physiological responses and those of every organism; characterizing an organism's proteome can therefore provide information on its interaction with the environment. Data dependen proteomic analysis (DDA) is a global approach to assay the entire proteome, but sample complexity and the stochastic nature of mass spectrometry can make it difficult to detect low abundance proteins. We explored the development of targeted proteomic (selected reaction monitoring, SRM) assays in complex ocean samples in order to detect specific bacterial proteins of interest and to assess new tools for mixed community metaproteomic exploration. A mixed community was created from a dilution series of isolated culture of bacteria (Ruegeria pomoeroyi) and phytoplankton (Thalassiosira pseudonana). Using SRM, we were able to detect bacterial peptides from the community that were undetectable with the standard DDA approach. We demonstrate benefits and drawbacks of different proteomic approaches that can be used to probe for and resolve nuances of bacterial physiological processes in complex environmental systems.
2017-02-01 | PXD004799 | Pride
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