2024-12-11
ENA first public
ERC000047
ENA-CHECKLIST
CMR
INSDC center name
public
INSDC status
ERS22186374
SRA accession
binchicken_co358_31
Submitter Id
Many fragments with little to no review of assembly other than reporting of standard assembly statistics
assembly quality
metaSPAdes;3.15.4;default
assembly software
coverage and kmer
binning parameters
MetaBAT2;2.15;default
binning software
engineered
broad-scale environmental context
not provided
collection date
99.93
%
completeness score
CheckM2;1.0.2;default
completeness software
5.23
%
contamination score
This sample represents a Third Party Annotation (TPA) Metagenome-assembled genome assembled from the metagenomic runs SRR3901708,SRR5272663 of study SRP056932.
description
engineered
environmental medium
South Africa
geographic location (country and/or sea)
not provided
DD
geographic location (latitude)
not provided
DD
geographic location (longitude)
metagenome-assembled genome
investigation type
bioreactor metagenome
isolation_source
bioreactor biome
local environmental context
bioreactor metagenome
metagenomic source
uncultured Proteiniphilum sp.
organism
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.
project name
SAMN05389823,SAMN06267629
sample derived from
uncultured Proteiniphilum sp.
scientific_name
Illumina HiSeq 2500
sequencing method
multi-marker approach
taxonomic identity marker
Metagenome-assembled genome: binchicken_co358_31
title