Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1302112 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Transcriptional profiling of A. oleivorans DR1 cells harboring pAST2. Plasmid pAST2 is a tetracycline-resistance plasmid which was isolated from activated sludge (Hong et al., 2014). The complete plasmid sequence was deposited in the National Center for Biotechnology Information (NCBI) GenBank under accession number KC734561 [PMID: 24337108].
2014-02-22 | GSE55239 | GEO
Project description:Bicyclus anynana butterflies were reared at 17°C and 27°C to produce the dry and wet season forms. RNA was extracted using TRIzol from the heads of 12 individual animals ~0-3 hours after eclosing; 3 dry season females, 3 wet season females, 3 dry season males, and 3 wet season males. A TruSeq RNA Sample Preparation Kit v2 was used to make 12 double stranded cDNA libraries from polyadenylated RNA. We size selected for DNA at ~280-340 bp. Libraries were sequenced using a HiSeq 2500, paired end 100-cycle sequence run.
2015-10-01 | E-MTAB-3887 | biostudies-arrayexpress
Project description:Characterization of a metagenomic regulatory sequence library derived from M. xanthus, E. coli, and O. urethralis genomes in strains expressing different RpoD ortholog variants. Targeted DNA and RNA seq used to profile relative DNA and RNA abundances, respectively of each regulatory sequence construct in the library.
2022-06-07 | E-MTAB-9111 | biostudies-arrayexpress
Project description:Blood collected from infants at week 6 and week 7 of life to profile how the transcriptome is changed following routine early life vaccination. Paired faecal metagenomic data is available for these infants under BioProject PRJNA807448 at the Sequence Read Archive.
2025-01-14 | GSE198276 | GEO
Project description:Compare Metagenomic Food Ring Trial-WET Lab
| PRJEB27260 | ENA
Project description:Wastewater treatment plants use a variety of bioreactor types and configurations to remove organic matter and nutrients. Little is known regarding the effects of different configurations and within-plant immigration on microbial community dynamics. Previously, we found that the structure of ammonia-oxidizing bacterial (AOB) communities in a full-scale dispersed growth activated sludge bioreactor correlated strongly with levels of NO2- entering the reactor from an upstream trickling filter (Wells et al 2009). Here, to further examine this puzzling association, we profile within-plant microbial biogeography (spatial variation) and test the hypothesis that substantial microbial immigration occurs along a transect (raw influent, trickling filter biofilm, trickling filter effluent, and activated sludge) at the same full-scale wastewater treatment plant. AOB amoA gene abundance increased >30-fold between influent and trickling filter effluent concomitant with NO2- production, indicating unexpected growth and activity of AOB within the trickling filter. Nitrosomonas europaea was the dominant AOB phylotype in trickling filter biofilm and effluent, while a distinct ‘Nitrosomonas-like’ lineage dominated in activated sludge. Prior time series indicated that this ‘Nitrosomonas-like’ lineage was dominant when NO2- levels in the trickling filter effluent (i.e., activated sludge influent) were low, while N. europaea became dominant in the activated sludge when NO2- levels were high. This is consistent with the hypothesis that NO2- production may co-occur with biofilm sloughing, releasing N. europaea from the trickling filter into the activated sludge bioreactor. Phylogenetic microarray (PhyloChip) analyses revealed significant spatial variation in taxonomic diversity, including a large excess of methanogens in the trickling filter relative to activated sludge and attenuation of Enterobacteriaceae across the transect, and demonstrated transport of a highly diverse microbial community via the trickling filter effluent to the activated sludge bioreactor. Our results provide compelling evidence that substantial immigration between coupled process units occurs and may exert significant influence over microbial community dynamics within staged bioreactors.
2015-11-03 | GSE52079 | GEO
Project description:Next-Generation-Sequencing (NGS) technologies have led to important improvement in the detection of new or unrecognized infective agents, related to infectious diseases. In this context, NGS high-throughput technology can be used to achieve a comprehensive and unbiased sequencing of the nucleic acids present in a clinical sample (i.e. tissues). Metagenomic shotgun sequencing has emerged as powerful high-throughput approaches to analyze and survey microbial composition in the field of infectious diseases. By directly sequencing millions of nucleic acid molecules in a sample and matching the sequences to those available in databases, pathogens of an infectious disease can be inferred. Despite the large amount of metagenomic shotgun data produced, there is a lack of a comprehensive and easy-use pipeline for data analysis that avoid annoying and complicated bioinformatics steps. Here we present HOME-BIO, a modular and exhaustive pipeline for analysis of biological entity estimation, specific designed for shotgun sequenced clinical samples. HOME-BIO analysis provides comprehensive taxonomy classification by querying different source database and carry out main steps in metagenomic investigation. HOME-BIO is a powerful tool in the hand of biologist without computational experience, which are focused on metagenomic analysis. Its easy-to-use intrinsic characteristic allows users to simply import raw sequenced reads file and obtain taxonomy profile of their samples.
2021-07-26 | E-MTAB-9189 | biostudies-arrayexpress