Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Archaeal community in refuse and leacahte samples from landfill bioreactor treated by antibiotics

ABSTRACT: Archaeal community in refuse and leacahte samples from landfill bioreactor treated by antibiotics Raw sequence reads

PROVIDER: PRJNA494899 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Fungi community in refuse and leacahte samples from landfill bioreactor treated by antibiotics

Project description:Fungi community in refuse and leacahte samples from landfill bioreactor treated by antibiotics Raw sequence reads

| PRJNA494900 | ENA

Refuse and leacahte samples from landfill bioreactor treated by antibiotics

Project description:Bacterial community in refuse and leacahte samples from landfill bioreactor treated by antibiotics Raw sequence reads

| PRJNA494597 | ENA

Archaeal community across refuse decomposition

Project description:Archaeal community across refuse decomposition Raw sequence reads

| PRJNA411954 | ENA

Metagenomic analysis revealed higher microbial and functional gene diversities in deep landfill

Project description:Waste decomposition in landfills is a complex and microbe-mediated process. Understanding the microbial community composition and structure is critical for accelerating decomposition and reducing adverse impact on the environment. Here, we examined the microbial communities along with landfill depth and age (LDA) in a sanitary landfill in Beijing, China using 16s rRNA Illumina sequencing and GeoChip 4.6. We found that Clostridiales and Methanofollis were the predominant bacteria and archaea in the present landfill, respectively. Interestingly, in contrast with the decreasing trend of microbial diversity in soil, both phylogenetic and functional diversities were higher in deeper and older refuse in the landfill. Phylogenetic compositions were obviously different in the refuse with the same LDA and such difference is mainly attributed to the heterogeneity of refuse instead of random process. Nevertheless, functional structures were similar within the same LDA, indicating that microbial community assembly in the landfill may be better reflected by functional genes rather than phylogenetic identity. Mantel test and canonical correspondence analysis suggested that environmental variables had significant impacts on both phylogenetic composition and functional structure. Higher stress genes, genes for degrading toxic substances and endemic genes in deeper and older refuse indicated that they were needed for the microorganisms to survive in the more severe environments. This study suggests that landfills are a repository of stress-resistant and contaminant-degrading microorganisms, which can be used for accelerating landfill stabilization and enhancing in situ degradation.

2016-06-15 | GSE68712 | GEO

Metagenomic analysis revealed higher microbial and functional gene diversities in deep landfill

2016-06-15 | E-GEOD-68712 | biostudies-arrayexpress

Metogenomic analysis on refuse microbial community affected by antibiotics

Project description:Metogenomic analysis on refuse microbial community affected by antibiotics Raw sequence reads

| PRJNA438425 | ENA

landfill metagenome

Project description:Landfill refuse Raw sequence reads

| PRJNA389232 | ENA

Bioreactor refuse metagenomic analysis

Project description:Bioreactor refuse metagenomic analysis Metagenome

| PRJNA412592 | ENA

Change in microbial community in landfill refuse contaminated with antibiotics facilitates denitrification more than the increase in ARG over long-term.

Project description:In this study, the addition of sulfamethazine (SMT) to landfill refuse decreased nitrogen intermediates (e.g. N2O and NO) and dinitrogen (N2) gas fluxes to <0.5 μg-N/kg-refuse·h-1, while the N2O and N2 flux were at ~1.5 and 5.0 μg-N/kg-refuse·h-1 respectively in samples to which oxytetracycline (OTC) had been added. The ARG (antibiotic resistance gene) levels in the refuse increased tenfold after long-term exposure to antibiotics, followed by a fourfold increase in the N2 flux, but SMT-amended samples with the largest resistome facilitated the denitrification (the nitrogen accumulated as NO gas at ~6 μg-N/kg-refuse·h-1) to a lesser extent than OTC-amended samples. Further, deep sequencing results show that long-term OTC exposure partially substituted Hyphomicrobium, Fulvivirga, and Caldilinea (>5%) for the dominant bacterial hosts (Rhodothermus, ~20%) harboring nosZ and norB genes that significantly correlated with nitrogen emission pattern, while sulfamethazine amendment completely reduced the relative abundance of the "original inhabitants" functioning to produce NOx gas reduction. The main ARG carriers (Pseudomonas) that were substantially enriched in the SMT group had lower levels of denitrifying functional genes, which could imply that denitrification is influenced more by bacterial dynamics than by abundance of ARGs under antibiotic pressures.

| S-EPMC5264584 | biostudies-literature

Landfill Bioreactor

Project description:Metagenomic Analysis of Bacteria and Archaea in Landfill Bioreactor

| PRJNA644277 | ENA