Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Profiles of ARGs in sludge anaerobic digestion based on MW-H2O2 pretreatment

PROVIDER: PRJNA387350 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR5588531.fastq.gz	Fastqsanger.gz
	SRR5588532.fastq.gz	Fastqsanger.gz
	SRR5588533.fastq.gz	Fastqsanger.gz
	SRR5588534.fastq.gz	Fastqsanger.gz
	SRR5588535.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 6

Similar Datasets

Project description:Enhanced performance of sewage sludge anaerobic digestion under different organic loading rate by MW-H2O2 pretreatment combined with two-stage configuration: based on kinetics and microbial community analysis

| PRJNA487973 | ENA

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

Antibiotic Resistance Profile and Genomic Characteristics of Multidrug-Resistant Bacteria from the Sludge of a Pharmaceutical Wastewater Treatment Plant

Project description:In this study, two multiantibiotic-resistant bacteria, Ochrobactrum intermedium (N1) and Stenotrophomonas acidaminiphila (N2), were isolated from the sludge of a PWWTP in Guangzhou, China. Whole-genome sequencing revealed that N1 and N2 had genome sizes of 0.52 Mb and 0.37 Mb, respectively, and harbored 33 and 24 ARGs, respectively. The main resistance mechanism in the identified ARGs included efflux pumps, enzymatic degradation, and target bypass, with the N1 strain possessing more multidrug-resistant efflux pumps than the N2 strain (22 vs 12). This also accounts for the broader resistance spectrum of N1 than of N2 in antimicrobial susceptibility tests. Additionally, both genomes contain numerous mobile genetic elements (89 and 21 genes, respectively) and virulence factors (276 and 250 factors, respectively), suggesting their potential for horizontal transfer and pathogenicity.

2024-10-20 | E-MTAB-14496 | biostudies-arrayexpress

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 |

Project description:Metagenomic evolution during thermal hydrolysis pretreatment anaerobic digestion of sewage sludge

| PRJNA643305 | ENA

bioreactor sludge metagenome

Project description:Anaerobic sludge digestion

| PRJNA257129 | ENA

Project description:Anaerobic digestion sludge

| PRJNA981666 | ENA

Antibiotic Resistance Profile and Genomic Characteristics of Multidrug-Resistant Bacteria from the Sludge of a Pharmaceutical Wastewater Treatment Plant

Project description:Incomplete antibiotic removal in pharmaceutical wastewater treatment plants (PWWTPs) could lead to the development and spread of antibiotic-resistant bacteria (ARBs) and genes (ARGs) in the environment, posing a growing public health threat. In this study, two multiantibiotic-resistant bacteria, Ochrobactrum intermedium (N1) and Stenotrophomonas acidaminiphila (N2), were isolated from the sludge of a PWWTP in Guangzhou, China. The N1 strain was highly resistant to ampicillin, cefazolin, chloramphenicol, tetracycline, and norfloxacin, while the N2 strain exhibited high resistance to ampicillin, chloramphenicol, and cefazolin. Whole-genome sequencing revealed that N1 and N2 had genome sizes of 0.52 Mb and 0.37 Mb, respectively, and harbored 33 and 24 ARGs, respectively. The main resistance mechanism in the identified ARGs included efflux pumps, enzymatic degradation, and target bypass, with the N1 strain possessing more multidrug-resistant efflux pumps than the N2 strain (22 vs 12). This also accounts for the broader resistance spectrum of N1 than of N2 in antimicrobial susceptibility tests. Additionally, both genomes contain numerous mobile genetic elements (89 and 21 genes, respectively) and virulence factors (276 and 250 factors, respectively), suggesting their potential for horizontal transfer and pathogenicity. Overall, this research provides insights into the potential risks posed by ARBs in pharmaceutical wastewater and emphasizes the need for further studies on their impact and mitigation strategies.

2024-10-20 | E-MTAB-14497 | biostudies-arrayexpress

Project description:anaerobic digestion sludge (archaea)

| PRJNA1041344 | ENA

Project description:anaerobic digestion of sludge

| PRJNA865928 | ENA