Kedma 16s rRNA gene
Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR526982.fastq.gz | Fastqsanger.gz | |||
| ERR526983.fastq.gz | Fastqsanger.gz | |||
| ERR526984.fastq.gz | Fastqsanger.gz | |||
| ERR526985.fastq.gz | Fastqsanger.gz | |||
| ERR526986.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 24 |
Similar Datasets
Project description:Ecology of soil bacterial active community under TWW irrigation in an Olive orchard.
| PRJEB6493 | ENA
Project description:Ecology of soil bacterial active community under TWW irrigation in an Olive orchard
| PRJEB6496 | ENA
Project description:To explore the bacterial community profile of the gut of the African palm weevil and to identify the abundance and diversity of lignin degradation-associated bacteria in each gut segment.
2025-01-01 | E-MTAB-13719 | biostudies-arrayexpress
Project description:Organic matter recycling in marine systems is largely driven by microbial processes, particularly in the Arctic where primary production and inputs can be temporally offset from upper trophic level consumption. This study followed bacterial dynamics in the chlorophyll maximum of the Bering Strait and sediment-water interface of the Chukchi Sea using metaproteomic and 16S rRNA methods to measure cellular function and taxonomic composition under low and high marine-derived particulate organic matter (POM) treatments at 0°C. Parallel analysis of major organic components (lipids and amino acids) allowed a comparison of microbial-POM interactions. Over the 10 day experimental period, bacteria under both treatments showed rapid community responses and changes in proteomic expression, accompanied by small changes in the concentration and distributions of organic components. In the Bering Strait community, protein translation was an important immediate cellular response under both POM scenarios while specific metabolic processes were more distinct between treatments. For example, under both conditions, evidence for carboxylic acid metabolism increased at day 6 while carbohydrate utilization as an energy source showed unique patterns as the experiments progressed. With POM additions to the Bering Strait community, nitrogen transport and regulation went up, including nitrogen fixation and ammonia assimilation, by day 6. In addition, a number of vitamin enzymatic cofactors were enriched by this day, providing evidence for an increase in C1 metabolism at that time. Low POM conditions stimulated the cycling and synthesis of amino acids, which was not as pronounced under the high POM treatment. In the Chukchi Sea community, nitrate reduction and substrate-specific transporter activity was statistically higher than in the Bering Strait, especially under low POM conditions. Taxonomic inference revealed that a wide range of bacterial classes were associated with the shifting cellular functions, but that Alphaproteobacteria, Gammaproteobacteria and Flavobacteria controlled most of these protein abundances. Activities of all classes were highly variable, with less dominant bacterial groups exhibiting a particularly strong degree of niche separation.
2019-02-18 | PXD008780 | Pride
Project description:Here we report 16S rRNA data in gut microbiota of autism spectrum disorders compared with healthy volunteers. A total of 1322 operational taxonomic units (OTUs) were identified in the sequence data. The Bacteroidetes and Firmicutes were both dominated phylum in ausitic subjects and healthy controls. Phylum level analysis showed a clear alteration of the bacterial gut community in ASD characterized by a higher Firmicutes (P < 0.05), Proteobacteria (P < 0.001), and Actinobacteria (P < 0.001) than that in healthy controls. However, Bacteroidetes were significantly decreased in ASD patients (P < 0.001).
2020-09-30 | GSE113690 | GEO
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:We aimed to investigate the microbial community composition in patients with intracerebral hemorrhage (ICH) and its effect on prognosis. The relationship between changes in bacterial flora and the prognosis of spontaneous cerebral hemorrhage was studied in two cohort studies. Fecal samples from healthy volunteers and patients with intracerebral hemorrhage were subjected to 16S rRNA sequencing at three time points: T1 (within 24 hours of admission), T2 (3 days post-surgery), and T3 (7 days post-surgery) using Illumina high-throughput sequencing technology.
2024-08-22 | E-MTAB-14351 | biostudies-arrayexpress
Project description:High Arctic soils have low nutrient availability, low moisture content and very low temperatures and, as such, they pose a particular problem in terms of hydrocarbon bioremediation. An in-depth knowledge of the microbiology involved in this process is likely to be crucial to understand and optimize the factors most influencing bioremediation. Here, we compared two distinct large-scale field bioremediation experiments, located at Alert (ex situ approach) and Eureka (in situ approach), in the Canadian high Arctic. Bacterial community structure and function were assessed using microarrays targeting the 16S rRNA genes of bacteria found in cold environments and hydrocarbon degradation genes as well as reverse-transcriptase real-time PCR targeting key functional genes. Results indicated a large difference between sampling sites in terms of both soil microbiology and decontamination rates. A rapid reorganization of the bacterial community structure and functional potential as well as rapid increases in the expression of alkane monooxygenases and polyaromatic hydrocarbon ring-hydroxylating-dioxygenases were observed one month after the bioremediation treatment commenced in the Alert soils. In contrast, no clear changes in community structure were observed in Eureka soils, while key gene expression increased after a relatively long lag period (1 year). Such discrepancies are likely caused by differences in bioremediation treatments (i.e. ex situ vs. in situ), weathering of the hydrocarbons, indigenous microbial communities, and environmental factors such as soil humidity and temperature. In addition, this study demonstrates the value of molecular tools for the monitoring of polar bacteria and their associated functions during bioremediation. 38 soil samples from two high arctic locations that were contaminated-treated, contaminated or not contaminated followed for up to 4 years
2010-06-19 | E-GEOD-17532 | biostudies-arrayexpress
Project description:Irrigation Water and Fecal 16S rRNA Raw sequence reads
| PRJNA545292 | ENA