Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Investigating spatial and temporal dynamics in microbial community composition of multiple full-scale slow sand filters in drinking water treatment

ABSTRACT: Investigating spatial and temporal dynamics in microbial community composition of multiple full-scale slow sand filters in drinking water treatment

PROVIDER: PRJEB84957 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Metaldehyde removal using slow sand filters

Project description:REMOVAL OF ENVIRONMENTALLY RELEVANT CONCENTRATIONS OF THE PESTICIDE METALDEHYDE FROM WATER IN BIOAUGMENTED PILOT-SCALE SLOW SAND FILTERS

| PRJEB40595 | ENA

Recovery of microbial biomass and purification performance after scraping of full-scale slow sand filters

Project description:Re-stabilisation processes after scraping of full-scale slow sand filters

| PRJEB72542 | ENA

"Impact of environmental and process conditions on the microbial ecology and performance of full-scale slow sand filters in drinking water treatment"

Project description:"Impact of environmental and process conditions on the microbial ecology and performance of full-scale slow sand filters in drinking water treatment"

| PRJEB77612 | ENA

Sludge from slow sand filter

Project description:Sludge from slow sand filter Raw sequence reads

| PRJNA773934 | ENA

Total bacteria from rapid sand filters in DWTPs

Project description:Total bacteria from rapid sand filters in DWTPs Raw sequence reads

| PRJNA525198 | ENA

Project description:Metagenomic sequencing of slow sand filters

| PRJNA1109087 | ENA

Project description:ITS2 sequencing of slow sand filters

| PRJNA730418 | ENA

Project description:16S sequencing of slow sand filters

| PRJNA998239 | ENA

sand metagenome

Project description:Horizontal Slow Sand Filter Microbiome Raw sequence reads

| PRJNA351777 | ENA

Isolation and Transcriptome Analysis of Phenol-Degrading Bacterium From Carbon-Sand Filters in a Full-Scale Drinking Water Treatment Plant.

Project description:Phenol is a typical organic contaminant in the environment. To date, the biodegradation of phenol by microorganisms remains the preferred method for its removal and remediation, but data on phenol removal by drinking water biofilters are lacking. In this study, we used high-throughput sequencing to investigate the microbial community structure in a carbon-sand biofilter. The results indicated that the predominant bacterial group was Bacilli, followed by Gammaproteobacteria, Clostridia, and Alphaproteobacteria. In addition, a strain was capable of degrading phenol at low concentrations of 500 μg/L within 100 min was isolated and identified as Rhodococcus sp. CS-1. Transcriptome analysis results showed that Rhodococcus sp. CS-1 was able to degrade phenol via both the catechol and protocatechuate branch of the β-ketoadipate pathway. Furthermore, some novel candidate biomarkers (copper oxidase, copper chaperone, and MarR/DeoR/TetR family transcriptional regulators) were successfully identified to be potentially involved in phenol biodegradation. This study indicates that carbon-sand filters have the potential for remediation of phenol. The application of native microorganisms to drinking water treatment system is an adaptive strategy in oligotrophic water environments.

| S-EPMC6160575 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data