Ontology highlight
ABSTRACT:
PROVIDER: PRJNA610040 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We have isolated and characterized several bacteriophages infecting Pseudomonas aeruginosa distantly related to Felix O1 virus and proposed they form a new subfamily named Felixounavirinae. The infectious cycle of bacteriophages belonging to this subfamily has not been studied yet in terms of gene expression. The present study reports the RNA-Seq analysis of bacteriophage PAK_P4 infecting PAK strain of P. aeruginosa.
2017-07-07 | GSE86022 | GEO
Project description:We have isolated and characterized several bacteriophages infecting Pseudomonas aeruginosa distantly related to Felix O1 virus and proposed they form a new subfamily named Felixounavirinae. The infectious cycle of bacteriophages belonging to this subfamily has not been studied yet in terms of gene expression. The present study reports the RNA-Seq analysis of bacteriophage PAK_P3 infecting PAK strain of P. aeruginosa.
2016-07-20 | GSE76513 | GEO
Project description:We have isolated and characterized several bacteriophages infecting Pseudomonas aeruginosa distantly related to Felix O1 virus and proposed they form a new subfamily named Felixounavirinae. The infectious cycle of bacteriophages belonging to this subfamily has not been studied yet in terms of gene expression. The present study reports the RNA-Seq analysis of bacteriophage PAK_P3 infecting PAK strain of P. aeruginosa. RNA profile of Host and Phage at 0min, 3.5min and 13 min after infection of Pseudomonas aeruginosa PAK strain with the Pseudomonas phage PAK P3. Three biological replicates for each time point.
2016-07-20 | E-GEOD-76513 | biostudies-arrayexpress
Project description:Wastewater Pseudomonas aeruginosa bacteriophages
| PRJNA862681 | ENA
Project description:Temperate bacteriophages play a pivotal role in the biology of their bacterial host. Of particular interest are bacteriophages infecting enterohemorrhagic E. coli (EHEC) due to their significant contribution in the pathogenicity of these pathogens, most notably by encoding the key virulence factor of this pathogen, the Shiga toxin. To better understand the role of EHEC phages on the functionality of its host, we isolated eight temperate phages from clinical EHEC isolates and characterized their genomic composition, morphology and receptor targeting. Morphological analysis identified one long-tailed member from the Siphoviridae family, targeting the OmpC receptor for host recognition, while the other seven phages are short-tailed (Podoviridae) and target the essential BamA protein. Genomic characterization revealed significant variation between the long- and short-tailed phages. Five of the eight isolated phages encode the potent Shiga toxin. Comparative analysis displays the typical lambdoid mosaicism, indicative of horizontal gene transfer driving evolution. These findings provide insights into the genetic and morphologic diversity and receptor specificity of EHEC phages, highlighting their role in evolution and pathogenicity of clinical EHEC strains
2025-08-26 | PXD061229 | Pride
Project description:Characterization of microbial communities at the genomic, transcriptomic, proteomic and metabolomic levels, with a special interest on lipid accumulating bacterial populations, which are naturally enriched in biological wastewater treatment systems and may be harnessed for the conversion of mixed lipid substrates (wastewater) into biodiesel. The project aims to elucidate the genetic blueprints and the functional relevance of specific populations within the community. It focuses on within-population genetic and functional heterogeneity, trying to understand how fine-scale variations contribute to differing lipid accumulating phenotypes. Insights from this project will contribute to the understanding the functioning of microbial ecosystems, and improve optimization and modeling strategies for current and future biological wastewater treatment processes. This project contains datasets derived from the same biological wastewater treatment plant. The data includes metagenomes, metatranscriptomes, metaproteomes and organisms isolated in pure cultures. Characterization of microbial communities at the genomic, transcriptomic, proteomic and metabolomic levels, with a special interest on lipid accumulating bacterial populations, which are naturally enriched in biological wastewater treatment systems and may be harnessed for the conversion of mixed lipid substrates (wastewater) into biodiesel. The project aims to elucidate the genetic blueprints and the functional relevance of specific populations within the community. It focuses on within-population genetic and functional heterogeneity, trying to understand how fine-scale variations contribute to differing lipid accumulating phenotypes. Insights from this project will contribute to the understanding the functioning of microbial ecosystems, and improve optimization and modeling strategies for current and future biological wastewater treatment processes. This project contains datasets derived from the same biological wastewater treatment plant. The data includes metagenomes, metatranscriptomes, metaproteomes and organisms isolated in pure cultures.
2020-08-19 | PXD013655 | Pride
Project description:Isolation and genomic characterization of bacteriophages targeting marine magnetotactic bacteria
| PRJEB66072 | ENA
Project description:In this study, we exposed Caenorhabditis elegans wild types N2 to water collected from six sources in the Dutch village Sneek. The sources were: wastewater from a hospital, a community (80 households), a nursing home, influent into the local municipal wastewater treatment plant, effluent of the wastewater treatment plant, and surface water samples. The goal of the experiment was to determine if C. elegans can be used to identify pollutants in the water by transcriptional profiling. Age synchronized worms at developmental L4 larval stage were exposed to treatment for 24 hours. After flash freezing the samples, RNA was isolated, labeled and hybridized on oligo microarray (Agilent) slides.
2022-12-03 | E-MTAB-11260 | biostudies-arrayexpress