Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Anaerobic sludge sequencing

PROVIDER: PRJNA476842 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR7386485_1.fastq.gz	Fastqsanger.gz
	SRR7386485_2.fastq.gz	Fastqsanger.gz
	SRR7386486_1.fastq.gz	Fastqsanger.gz
	SRR7386486_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 4 of 4

Similar Datasets

Anaerobic co-digestion of food waste and sludge

Project description:The functional proteins in anaerobic co-digestion of food waste and sludge

2023-11-22 | PXD047151 |

Multi-level microbial fingerprinting in anaerobic digestion reveals consistent fingerprinting profiles

Project description:The anaerobic digestion microbiomes has been puzzling us since the dawn of molecular methods for mixed microbial community analysis. Monitoring of the anaerobic digestion microbiome can either take place via a holistic evaluation of the microbial community through fingerprinting or by targeted monitoring of selected taxa. Here, we compared four different microbial community fingerprinting methods, i.e., amplicon sequencing, metaproteomics, metabolomics and phenotypics, in their ability to reflect the full-scale anaerobic digestion microbiome. The phenotypic fingerprinting reflects a, for anaerobic digestion, novel, single cell-based approach of direct microbial community fingerprinting. Three different digester types, i.e., sludge digesters, digesters treating agro-industrial waste and dry anaerobic digesters reflected different operational parameters. The α-diversity analysis yielded inconsistent results, especially for richness, across the different methods. In contrast, β-diversity analysis resulted in comparable profiles, even when translated into phyla or functions, with clear separation of the three digester types. In-depth analysis of each method's features i.e., operational taxonomic units, metaproteins, metabolites, and phenotypic traits, yielded certain similar features yet, also some clear differences between the different methods, which was related to the complexity of the anaerobic digestion process. In conclusion, phenotypic fingerprinting is a reliable, fast method for holistic monitoring of the anaerobic digestion microbiome, and the complementary identification of key features through other methods could give rise to a direct interpretation of anaerobic digestion process performance.

2021-05-26 | PXD024788 | Pride

Metatranscriptomic array analysis of “Candidatus Accumulibacter phosphatis”-enriched EBPR Sludge

Project description:Here we report a metatranscriptomic analysis of gene expression and regulation of “Candidatus Accumulibacter”-enriched lab-scale sludge during enhanced biological phosphorus removal (EBPR). Medium density oligonucleotide microarrays were generated with probes targeting most predicted genes hypothesized to be important for the EBPR phenotype. The objectives were to investigate which genes were expressed during EBPR and which genes were differentially expressed between the early stage of anaerobic and aerobic phases (defined as 15 min after acetate addition and 15 min after switching to aeration respectively).

2009-12-31 | GSE17857 | GEO

Project description:Anaerobic activated sludge sequencing

| PRJNA746453 | ENA

Project description:anaerobic digestion sludge sequencing

| PRJNA757556 | ENA

sludge metagenome

Project description:Anaerobic sludge Genome sequencing

| PRJNA272850 | ENA

Project description:anaerobic digestion sludge sequencing

| PRJNA765515 | ENA

Project description:Anaerobic sludge

| PRJNA1225164 | ENA