Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

FIGURE cruise Microbial Diversity

ABSTRACT: Diazotroph Fine-scale Connectomics

PROVIDER: PRJEB64428 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR11768500_1.fastq.gz	Fastqsanger.gz
	ERR11768500_2.fastq.gz	Fastqsanger.gz
	ERR11768501_1.fastq.gz	Fastqsanger.gz
	ERR11768501_2.fastq.gz	Fastqsanger.gz
	ERR11768502_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 192

Similar Datasets

Project description:Fine-scale todarades poolseq

| PRJNA786055 | ENA

Overall functional diversity of microbial communities in three full-scale activated sludge bioreactors

Project description:Understanding microbial community diversity is thought to be crucial for improving process functioning and stabilities of wastewater treatment systems. However, current studies largely focus on taxonomic groups based on 16S rRNA, which are not necessarily linked to functioning, or a few selected functional genes. Here we launched a study to profile the overall functional genes of microbial communities in three full-scale wastewater treatment systems. Triplicate activated sludge samples from each system were analyzed using a high-throughput metagenomics tool named GeoChip 4.2, resulting in the detection of 38,507 to 40,647 functional genes. A high similarity of 75.5% to 79.7% shared genes was noted among the nine samples. Moreover, correlation analyses showed that the abundances of a wide array of functional genes were associated with system performances. For example, the abundances of overall nitrogen cycling genes had a strong correlation to total nitrogen (TN) removal rates (r = 0.7647, P < 0.01). The abundances of overall carbon cycling genes were moderately correlated with COD removal rates (r = 0.6515, P < 0.01). Lastly, we found that influent chemical oxygen demand (COD inf) and total phosphorus concentrations (TP inf), and dissolved oxygen (DO) concentrations were key environmental factors shaping the overall functional genes. Together, the results revealed vast functional gene diversity and some links between the functional gene compositions and microbe-mediated processes.

2014-12-31 | GSE53744 | GEO

The Microbial Ecology of Bacterial Vaginosis: A Fine Scale Resolution Metagenomics Analysis

Project description:The Microbial Ecology of Bacterial Vaginosis: A Fine Scale Resolution Metagenomics Analysis

| PRJNA74927 | ENA

The Microbial Gene Diversity along time and space of the wastewater treatment plant

Project description:Bacteriophage – host dynamics and interactions are important for microbial community composition and ecosystem function. Nonetheless, empirical evidence in engineered environment is scarce. Here, we examined phage and prokaryotic community composition of four anaerobic digestors in full-scale wastewater treatment plants (WWTPs) across China. Despite relatively stable process performance in biogas production, both phage and prokaryotic groups fluctuated monthly over a year of study period. Nonetheless, there were significant correlations in their α- and β-diversities between phage and prokaryotes. Phages explained 40.6% of total prokaryotic community composition, much higher than the explainable power by abiotic factors (14.5%). Consequently, phages were significantly (P<0.010) linked to parameters related to process performance including biogas production and volatile solid concentrations. Association network analyses showed that phage-prokaryote pairs were deeply rooted, and two network modules were exclusively comprised of phages, suggesting a possibility of co-infection. Those results collectively demonstrate phages as a major biotic factor in controlling bacterial composition. Therefore, phages may play a larger role in shaping prokaryotic dynamics and process performance of WWTPs than currently appreciated, enabling reliable prediction of microbial communities across time and space.

2016-12-29 | GSE92978 | GEO

microbial diversity

Project description:microbial diversity Raw sequence reads

| PRJNA784692 | ENA

microbial diversity

Project description:microbial diversity Raw sequence reads

| PRJNA545812 | ENA

microbial diversity

Project description:microbial diversity Raw sequence reads

| PRJNA427864 | ENA

microbial diversity

Project description:microbial diversity Raw sequence reads