Ontology highlight
ABSTRACT:
PROVIDER: PRJNA741687 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Lotus japonicus culture collection (16S rRNA amplicon data)
| PRJEB37695 | ENA
Project description:In this study we developed metaproteomics based methods for quantifying taxonomic composition of microbiomes (microbial communities). We also compared metaproteomics based quantification to other quantification methods, namely metagenomics and 16S rRNA gene amplicon sequencing. The metagenomic and 16S rRNA data can be found in the European Nucleotide Archive (Study number: PRJEB19901). For the method development and comparison of the methods we analyzed three types of mock communities with all three methods. The communities contain between 28 to 32 species and strains of bacteria, archaea, eukaryotes and bacteriophage. For each community type 4 biological replicate communities were generated. All four replicates were analyzed by 16S rRNA sequencing and metaproteomics. Three replicates of each community type were analyzed with metagenomics. The "C" type communities have same cell/phage particle number for all community members (C1 to C4). The "P" type communities have the same protein content for all community members (P1 to P4). The "U" (UNEVEN) type communities cover a large range of protein amounts and cell numbers (U1 to U4). We also generated proteomic data for four pure cultures to test the specificity of the protein inference method. This data is also included in this submission.
2017-05-12 | PXD006118 | Pride
Project description:Drosophila melanogaster was used to investigate the influence of microbiota-derived intestinal flora and its metabolites on host transcriptional regulation by adding sodium butyrate to a sterile diet for constructing a sterile Drosophila model. In order to further investigate the effects of sodium butyrate on Drosophila melanogaster at the molecular mechanism level, we detected the abundance and composition of midgut microbial colonies based on 16S rRNA gene sequences, and analyzed the overall structure and metabolic activities of host transcriptional networks by combining transcriptome and non-target metabolomics data.
2021-05-24 | GSE169135 | GEO
Project description:Nitrate-reducing iron(II)-oxidizing bacteria are widespread in the environment contribute to nitrate removal and influence the fate of the greenhouse gases nitrous oxide and carbon dioxide. The autotrophic growth of nitrate-reducing iron(II)-oxidizing bacteria is rarely investigated and poorly understood. The most prominent model system for this type of studies is enrichment culture KS, which originates from a freshwater sediment in Bremen, Germany. To gain insights in the metabolism of nitrate reduction coupled to iron(II) oxidation under in the absence of organic carbon and oxygen limited conditions, we performed metagenomic, metatranscriptomic and metaproteomic analyses of culture KS. Raw sequencing data of 16S rRNA amplicon sequencing, shotgun metagenomics (short reads: Illumina; long reads: Oxford Nanopore Technologies), metagenome assembly, raw sequencing data of shotgun metatranscriptomes (2 conditions, triplicates) can be found at SRA in https://www.ncbi.nlm.nih.gov/bioproject/PRJNA682552. This dataset contains proteomics data for 2 conditions (heterotrophic and autotrophic growth conditions) in triplicates.
2021-05-17 | PXD023186 | Pride
Project description:Nitrate-reducing iron(II)-oxidizing (NDFO) bacteria are widespread in the environment contribute to nitrate removal and influence the fate of the greenhouse gases nitrous oxide and carbon dioxide. The autotrophic growth of nitrate-reducing iron(II)-oxidizing bacteria is rarely investigated and poorly understood. The most prominent model system for this type of studies is enrichment culture KS, which originates from a freshwater sediment in Bremen, Germany. A second NDFO culture, culture BP, was obtained with a sample taken in 2015 at the same pond and cultured in a similar way. To gain insights in the metabolism of nitrate reduction coupled to iron(II) oxidation under in the absence of organic carbon and oxygen limited conditions, we performed metagenomic, metatranscriptomic and metaproteomic analyses of culture BP. Raw sequencing data of 16S rRNA amplicon sequencing (V4 region with Illumina and near full-length with PacBio), shotgun metagenomics, metagenome assembly, raw sequencing data of shotgun metatranscriptomes (2 conditions, triplicates) can be found at SRA in https://www.ncbi.nlm.nih.gov/bioproject/PRJNA693457. This dataset contains proteomics data for 2 conditions in triplicates. Samples R23, R24, and R25 are grown in autotrophic conditions, samples R26, R27, and R28 in heterotrophic conditions.
2021-05-17 | PXD023710 | Pride
Project description:Sensitive models of climate change impacts would require a better integration of multi-omics approaches that connect the abundance and activity of microbial populations. Here, we show that climate is a fundamental driver of the protein abundance of microbial populations (metaproteomics), yet not their genomic abundance (16S rRNA gene amplicon sequencing), supporting the hypothesis that metabolic activity may be more closely linked to climate than community composition.
2022-03-01 | PXD009773 | Pride
Project description:The present study was conducted in the frame of the EU-funded Graphene Flagship project. We previously evaluated the impact of graphene oxide (GO) on the gut microbiome in adult zebrafish by performing 16S rRNA gene sequencing in wild-type versus AhR-deficient zebrafish. Here, we performed single-cell RNA-sequencing (10x Genomics) on whole (dissociated) germ-free (GF) zebrafish embryos exposed at 5 dpf to GO plus the microbial metabolite butyrate to gain insight into the impact on specific cell populations in GF zebrafish.
2022-07-22 | E-MTAB-11984 | biostudies-arrayexpress
Project description:16S amplicon sequencing of a rumen continuous culture fermentation system
| PRJNA386594 | ENA
Project description:Emerging data has highlighted the importance of short-chain fatty acids (SCFAs), particularly butyrate, in regulating ruminal homeostasis in vivo isolated epithelial cells. However, little is known about other SCFAs like acetate or propionate, and the interaction between rumen microbes and epithelial immunity are rarely reported. Here, we firstly combined infusion of three SCFAs, to study their different roles in ruminal development, antioxidant capacity, barrier functions, and immunity, as well as cross-talk with ruminal microbiome (16S rRNA sequencing data of rumen digesta) and derived transcriptome (RNA-Seq) and metabolism using an in vivo goat model.
2022-12-26 | GSE221508 | GEO