Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Establishment and optimization of sulfur-based autotrophic-heterotrophic denitrifying biofilters for advanced kitchen-landfill leachate treatment under low temperature

PROVIDER: PRJNA1031624 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR26549236_1.fastq.gz	Fastqsanger.gz
	SRR26549236_2.fastq.gz	Fastqsanger.gz
	SRR26549237_1.fastq.gz	Fastqsanger.gz
	SRR26549237_2.fastq.gz	Fastqsanger.gz
	SRR26549238_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 8

Similar Datasets

Project description:Study on Sulfur Autotrophic Denitrifying Microorganisms

| PRJNA748208 | ENA

Project description:Metagenome of sulfur autotrophic denitrifying sludge

| PRJNA1133180 | ENA

Activated sludge of landfill leachate

Project description:Landfill leachate water is often treated in a biological processing step. In most cases a stable operation of the industrial scale plants is controlled by sum parameters such as process relevant ion concentrations, dry matter concentration and dissolved oxygen concentration. A deeper understanding of the current status of the individual cell or the biocoenosis would help to understand malfunctions or the reason for inefficient plant performance. In a simple batch experimental setup, samples of two different conditions have been generated to unravel bacterial proteome changes in response to medium term lack of oxygen supply and landfill leachate addition. The first condition was an activated sludge sample condition from an industrial scale landfill leachate treatment plant with the process stages of nitrification and denitrification. After 45 days without aeration and with addition of leachate and carbon sources as fed batch, the second sample (condition 2) was taken. A comprehensive LC-MS/MS based protemic screen was performed aiming for the identification and quantification of waste water specific bacteria proteomes. To this end, a novel combination of two protein extraction methods has been established meeting the requirements for LC-MS/MS anaylsis. Around 600 proteins were identified of which 90 % were quantified in at least 3 replicates. Numerous essential proteins to maintain the cell redox homeostasis are overexpressed in the condition 1 which was aerated with oxygen and stressed by the ultrafiltration compared to condition 2, which was not aerated in a lab experiment. In addition, heat and cold shock proteins and two proteins related to the apoptosis of organisms (spermidine/putrescine transport system and apoptosis-inducing factor) were identified.

2022-02-23 | PXD011917 | Pride

M. sedula transcriptional response under "strict" carbon-limited autotrophy compared to carbon "rich" autotrophy and heterotrophy

Project description:Metallosphaera sedula is an extremely thermoacidophilic archaeon that grows heterotrophically on peptides, and chemolithoautotrophically on hydrogen, sulfur, or reduced metals as energy sources. During autotrophic growth, carbon dioxide is incorporated into cellular carbon via the 3-hydroxypropionate /4-hydroxybutyrate cycle (3HP/4HB). To date, all of the steps in the pathway have been connected to enzymes encoded in specific ORFs, except for the one responsible for ligation of coenzyme A (CoA) to 4-hydroxybutyrate (4HB). While several candidates for this step have been identified through bioinformatic analysis of the M. sedula genome, none have been shown to catalyze this biotransformation. Transcriptomic analysis of cells grown under strict H2-CO2 autotrophy was used elucidate additional candidate genes involved in carbon fixation and identify the genes which encode for 4HB-CoA synthetase. Three slide loop for Mse cells includes 3 conditions tested in duplicate (biological repeats from tandem fermentors): autotrophic carbon limited (ACL), autotrophic carbon rich (ACR), and heterotrophic (HTR). Half of an RNA sample for one condition was labeled with Cy3 while the other half was labeled with Cy5. The two differently labeled samples were run on different slides. Each probe is spotted on each slide 5 times (5 replicates; spot intensities for all replicates on slide provided in associated raw data file).

2013-03-05 | E-GEOD-39944 | biostudies-arrayexpress

Metallosphaera cuprina cultivation on sulfur or yeast extract

Project description:By using heterotrophic proteome as reference, 169 proteins were found to change their abundance during autotrophic growth. The up-regulated proteins indicated that M. cuprina fixed CO2 through the previously identified 3-HB-CoA/4-HB-CoA cycle and obtained energy by oxidation of elemental sulfur as energy source under autotrophic growth. Enzymes/proteins involved in semi- and non-phosphorylating Entner-Doudoroff (ED) pathway were down-regulated. We also found that some transporter proteins changed their abundances, suggest that they were likely playing pivotal roles for growth under the respective conditions.

2022-02-22 | PXD000676 | Pride

Project description:microbial community structure analysis of sulfur autotrophic and heterotrophic denitrification

| PRJNA782022 | ENA

landfill metagenome

Project description:Landfill leachate microcosm

| PRJNA351238 | ENA

soil metagenome

Project description:Landfill leachate Metagenome

| PRJNA255063 | ENA

soil metagenome

Project description:Shanghai Laogang landfill leachate

| PRJNA219026 | ENA

Transcription profiling of hyperthermophilic crenarchaeum Thermoproteus tenax to compare autotrophic growth on CO2/H2 versus heterotrophic growth on glucose using a focussed central carbohydrate metabolism DNA microarray

Project description:In order to unravel the role of regulation on transcript level in the central carbohydrate metabolism (CCM) of Thermoproteus tenax (glycolytic/gluconeogenic carbon switch), the focused DNA microarray was constructed by using ORFs supposed to be involved in the CCM pathways. Transcriptional profiling was performed comparing autotrophic growth on CO2/H2 versus heterotrophic growth on glucose.

2008-02-05 | E-MEXP-1376 | biostudies-arrayexpress

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