Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1006855 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Here we have compared adult wildtype (N2) C. elegans gene expression when grown on different bacterial environments/fod sources in an effort to model naturally occuring nematode-bacteria interactions at the Konza Prairie. We hypothesize that human-induced changes to natural environments, such as the addition of nitrogen fertalizer, have effects on the bacterial community in soils and this drives downstream changes in the structure on soil bacterial-feeding nematode community structure. Here we have used transcriptional profiling to identify candidate genes involved in the interaction of nematodes and bacteria in nature.
2009-05-02 | GSE15923 | GEO
Project description:We performed RNA-Seq based gene expression analysis of Arabidopsis Col-0 plants grown in presence of SynComCol-0 (eubiotic bacterial community), SynCommfec (dysbiotic bacterial community) and Axenic conditions in GnotoPot plant gnotobiotic growth system. SynCom preparation was done by mixing equal ratio of the each strain measured based on optical density of (OD600) in 10 mM MgCl2 and adjusting to the final combined OD600 of 0.04. Plants were grow in GnotoPots as described in (Chen et al, Nature 2020). We identified genes differentially enriched in response to presence of eubiotic and dysbiotic bacterial communities. Our results suggested that in presence of dysbiotic community there is over abundance of gene expression for immunity/defense-related genes in SynCommfec compared SynComCol-0 colonized plants.
2023-07-19 | GSE218962 | GEO
Project description:RNA sequencing of pig tissues for transcriptome annotation and expression analysis. Tissue specific RNA-seq data was generated to support annotation of coding and non-coding genes and to measure tissue specific expression. This study is part of the FAANG project, promoting rapid prepublication of data to support the research community. These data are released under Fort Lauderdale principles, as confirmed in the Toronto Statement (Toronto International Data Release Workshop. Birney et al. 2009. Pre-publication data sharing. Nature 461:168-170). Any use of this dataset must abide by the FAANG data sharing principles. Data producers reserve the right to make the first publication of a global analysis of this data. If you are unsure if you are allowed to publish on this dataset, please contact alan.archibald@roslin.ed.ac.uk, lel.eory@roslin.ed.ac.uk and faang@iastate.edu to enquire. The full guidelines can be found at http://www.faang.org/data-share-principle”.
2017-02-10 | E-MTAB-5895 | biostudies-arrayexpress
Project description:Understanding the bacterial community structure, and their functional analysis for active bioremediation process is essential to design better and cost effective strategies. Microarray analysis enables us to simultaneously study the functional and phylogenetic markers of hundreds of microorganisms which are involved in active bioremediation process in an environment. We have previously described development of a hybrid 60-mer multibacterial microarray platform (BiodegPhyloChip) for profiling the bacterial communities and functional genes simultaneously in environments undergoing active bioremediation process (Pathak et al; Appl Microbiol Biotechnol,Vol. 90, 1739-1754). The present study involved profiling the status of bacterial communities and functional (biodegradation) genes using the developed 60-mer oligonucleotide microarray BiodegPhyloChip at five contaminated hotspots in the state of Gujarat, in western India. The expression pattern of functional genes (coding for key enzymes in active bioremediation process) at these sites was studied to understand the dynamics of biodegradation in the presence of diverse group of chemicals. The results indicated that the nature of pollutants and their abundance greatly influence the structure of bacterial communities and the extent of expression of genes involved in various biodegradation pathways. In addition, site specific factors also play a pivotal role to affect the microbial community structure as was evident from results of 16S rRNA gene profiling of the five contaminated sites, where the community structure varied from one site to another drastically.
2012-12-01 | GSE38004 | GEO
Project description:Mai Po Nature Reserve sediment metagenome and metatranscriptome
| PRJNA360036 | ENA
Project description:Understanding the bacterial community structure, and their functional analysis for active bioremediation process is essential to design better and cost effective strategies. Microarray analysis enables us to simultaneously study the functional and phylogenetic markers of hundreds of microorganisms which are involved in active bioremediation process in an environment. We have previously described development of a hybrid 60-mer multibacterial microarray platform (BiodegPhyloChip) for profiling the bacterial communities and functional genes simultaneously in environments undergoing active bioremediation process (Pathak et al; Appl Microbiol Biotechnol,Vol. 90, 1739-1754). The present study involved profiling the status of bacterial communities and functional (biodegradation) genes using the developed 60-mer oligonucleotide microarray BiodegPhyloChip at five contaminated hotspots in the state of Gujarat, in western India. The expression pattern of functional genes (coding for key enzymes in active bioremediation process) at these sites was studied to understand the dynamics of biodegradation in the presence of diverse group of chemicals. The results indicated that the nature of pollutants and their abundance greatly influence the structure of bacterial communities and the extent of expression of genes involved in various biodegradation pathways. In addition, site specific factors also play a pivotal role to affect the microbial community structure as was evident from results of 16S rRNA gene profiling of the five contaminated sites, where the community structure varied from one site to another drastically. Agilent one-color CGH experiment and one-color Gene Expresssion expereiment,Organism: Genotypic designed Agilent-17159 Genotypic designed Agilent Multibacterial 8x15k Array , Labeling kits: Agilent Genomic DNA labeling Kit (Part Number: 5190-0453) and Agilent Quick Amp Kit PLUS (Part number: 5190-0442).
2012-12-01 | E-GEOD-38004 | biostudies-arrayexpress
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