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Metagenome-assembled genome: SRR3901701_bin.101_CONCOCT_v1.1_MAG

Identifiers
BioSample: SAMEA14081923; SRA: ERS11685059
Organism
uncultured Armatimonadetes bacterium
cellular organisms; Bacteria; Terrabacteria group; Armatimonadota; environmental samples
Attributes
collection date2014-01-29
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 nameSRR3901701_bin.101_CONCOCT_v1.1_MAG
ENA-CHECKLISTERC000047
ENA-FIRST-PUBLIC2023-01-03
ENA-LAST-UPDATE2023-01-03
External IdSAMEA14081923
INSDC center aliasEBI
INSDC center nameEuropean Bioinformatics Institute
INSDC first public2023-01-03T00:32:20Z
INSDC last update2023-01-03T00:32:20Z
INSDC statuspublic
Submitter IdSRR3901701_bin.101_CONCOCT_v1.1_MAG
assembly qualityMultiple fragments where gaps span repetitive regions. Presence of the 23S, 16S, and 5S rRNA genes and at least 18 tRNAs
assembly softwaremetaspadesv3.12.0
binning parametersDefault
binning softwareCONCOCT v1.1
broker nameEMG broker account, EMBL-EBI
completeness score92.13
completeness softwareCheckM
contamination score1.85
geographic location (latitude)-33.9575
geographic location (longitude)18.4606
metagenomic sourcemetagenome
sample derived fromSAMN05389816
scientific_nameuncultured Armatimonadetes bacterium
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 SRR3901701 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:
SAMEA14081923
ID:
32559219

BioProject Nucleotide

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