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Metagenome-assembled genome: SRR3901707_bin.64_CONCOCT_v1.1_MAG

Identifiers
BioSample: SAMEA14081966; SRA: ERS11685102
Organism
Enterobacter asburiae
cellular organisms; Bacteria; Pseudomonadota; Gammaproteobacteria; Enterobacterales; Enterobacteriaceae; Enterobacter; Enterobacter cloacae complex
Attributes
collection date2014-04-04
broad-scale environmental contextEngineered
local-scale environmental contextEngineered
environmental mediumEngineered
geographic locationSouth Africa
investigation typemetagenome-assembled genome
isolation sourcemetagenome
project nameGold mining and other industrial activities make extensive use of cyanide (CN-) and produce large volumes of thiocyanate- (SCN-) contaminated wastewater that must be treated before reuse in mining processes. Furthermore, contaminated wastewater stored in tailings dams may pose an environmental threat through the potential for leakage into local groundwater. Microbial communities are often used for biodegradation and environmental remediation, however, little is known about the membership and metabolic potential of SCN-degrading consortia. Application and improvement of the remediation strategy will benefit from an understanding of organisms that can contribute to the breakdown of SCN- into sulfur, carbon and nitrogen compounds. To this end, we performed metagenomic analysis of samples from two laboratory-scale bioreactors used to study SCN- and CN- degradation by established microbial consortia. Community analysis revealed the dominance of Thiobacillus spp. whose genomes harbor a previously unreported operon for SCN- degradation. Metabolic predictions suggest that a large portion of each bioreactor community is autotrophic, relying not on molasses in reactor feed, but using energy gained from oxidation of the sulfur compounds produced during SCN- degradation. Heterotrophs compose a smaller portion of the reactor bacterial community, and predation by phage and eukaryotes is predicted to affect community dynamics. Furthermore, genes for ammonium oxidation and denitrification were detected, possibly allowing removal of nitrogen as required for complete remediation of wastewater. These findings suggest possible optimization strategies for reactor design such as improved aerobic/anaerobic partitioning and elimination of organic carbon from reactor feed.
sample nameSRR3901707_bin.64_CONCOCT_v1.1_MAG
ENA-CHECKLISTERC000047
ENA-FIRST-PUBLIC2023-01-03
ENA-LAST-UPDATE2023-01-03
External IdSAMEA14081966
INSDC center aliasEBI
INSDC center nameEuropean Bioinformatics Institute
INSDC first public2023-01-03T00:32:39Z
INSDC last update2023-01-03T00:32:39Z
INSDC statuspublic
Submitter IdSRR3901707_bin.64_CONCOCT_v1.1_MAG
assembly qualityMany fragments with little to no review of assembly other than reporting of standard assembly statistics
assembly softwaremetaspadesv3.12.0
binning parametersDefault
binning softwareCONCOCT v1.1
broker nameEMG broker account, EMBL-EBI
completeness score99.91
completeness softwareCheckM
contamination score0.67
geographic location (latitude)-33.9575
geographic location (longitude)18.4606
metagenomic sourcemetagenome
sample derived fromSAMN05389822
scientific_nameEnterobacter asburiae
sequencing methodIllumina HiSeq 2500
taxonomic identity markermulti-marker approach
Description

This sample represents a Third Party Annotation (TPA) Metagenome-Assembled Genome (MAG) assembled from the metagenomic run SRR3901707 of study SRP056932.

BioProject
PRJEB51072 Large-scale analysis of novel cellular microbes from the engineered biome
Retrieve all samples from this project

Submission
EBI; 2023-01-04
Accession:
SAMEA14081966
ID:
32559262

BioProject Nucleotide

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