Metagenome-assembled genome: SRR3901697_bin.14_CONCOCT_v1.1_MAG
uncultured Allobosea sp.
This sample represents a Third Party Annotation (TPA) Metagenome-Assembled Genome (MAG) assembled from the metagenomic run SRR3901697 of study SRP056932.
ENA-FIRST-PUBLIC
2023-01-03
ENA-LAST-UPDATE
2023-01-03
External Id
SAMEA14081891
INSDC center alias
EBI
INSDC center name
European Bioinformatics Institute
INSDC first public
2023-01-03T00:32:42Z
INSDC last update
2023-01-03T00:32:42Z
INSDC status
public
Submitter Id
SRR3901697_bin.14_CONCOCT_v1.1_MAG
assembly quality
Many fragments with little to no review of assembly other than reporting of standard assembly statistics
assembly software
metaspadesv3.12.0
binning parameters
Default
binning software
CONCOCT v1.1
broker name
EMG broker account, EMBL-EBI
collection date
2014-03-17
completeness score
94.03
completeness software
CheckM
contamination score
3.11
environment (biome)
Engineered
environment (feature)
Engineered
environment (material)
Engineered
geographic location (country and/or sea)
South Africa
geographic location (latitude)
-33.9575
geographic location (longitude)
18.4606
investigation type
metagenome-assembled genome
isolation_source
metagenome
metagenomic source
metagenome
project name
Gold 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 derived from
SAMN05389825
sample name
SRR3901697_bin.14_CONCOCT_v1.1_MAG
scientific_name
uncultured Bosea sp.
sequencing method
Illumina HiSeq 2500
taxonomic identity marker
multi-marker approach