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.
Project description:Most existing RNA sequencing methods rely on cell lysis or fixation, limiting their use in longitudinal studies of the same cell population. Here, we introduce POND-seq (Protein nanocage-empOwered Non-Destructive sequencing), a strategy that employs secretory protein nanocages fused to RNA-binding proteins (RBPs) to recover RBP-associated RNAs from living cells. POND-seq robustly identifies RNA targets of cytoplasmic RBPs across multiple cell types and enables longitudinal tracking of dynamic changes in RBP-associated RNA profiles under stress conditions. Fusion to PABPC1 further allows monitoring of transcriptomic responses and selectively profile cell-type-specific transcriptomes from mixed populations without cell dissociation and sorting. Additionally, POND-seq supports functional interrogation of RBP domains and residues involved in RNA association and enables scalable analysis of RBP variants, as demonstrated by a systematic assessment of disease-associated FMR1 mutations. Together, POND-seq provides a versatile and scalable platform for non-destructive and longitudinal analysis of cytoplasmic transcriptome and RBP-associated RNAs.
Project description:With its 2.5 Mb DNA genome packed in amphora-shaped particles of bacterium-like dimension (1.2 µm in length, 0.5 µm in diameter), the Acanthamoeba-infecting Pandoravirus salinus remained the most spectacular and intriguing virus since its description in 2013. Following its isolation from shallow marine sediment off the coast of central Chile, that of its relative Pandoravirus dulcis from a fresh water pond near Melbourne, Australia, suggested that they were the first representatives of an emerging worldwide-distributed family of giant viruses. This was further suggested when P. inopinatum discovered in Germany, was sequenced in 2015. We now report the isolation and genome sequencing of three new strains (P. quercus, P.neocaledonia, P. macleodensis) from France, New Caledonia, and Australia. Using a combination of transcriptomic, proteomic, and bioinformatic analyses, we found that these six viruses share enough distinctive features to justify their classification in a new family, the Pandoraviridae, distinct from that of other large DNA viruses.
Project description:An European eel-specific microarray platform was developed to identify genes involved in response to pollutants. A comparative analysis of gene expression was conducted between European eel Anguilla anguilla individuals from lowly-polluted Wijmeers pond at Uitbergen (Belgium), highly-polluted Hazewinkel pond at Willebroek (Belgium), extremely-polluted Dessel-Schotel canal at the locations of Schotel (Belgium) and low polluted Bolsena lake (Italy) environments.