Bioreactor microbial ecosystems for thiocyanate and cyanide degradation unravelled with genome-resolved metagenomics

dc.contributor.authorKantor, R S
dc.contributor.authorvan Zyl, A W
dc.contributor.authorvan Hille, R P
dc.contributor.authorThomas, B C
dc.contributor.authorHarrison, S T L
dc.contributor.authorBanfield, J F
dc.date.accessioned2016-08-25T10:13:27Z
dc.date.available2016-08-25T10:13:27Z
dc.date.issued2015
dc.date.updated2016-08-25T08:44:23Z
dc.description.abstractGold ore processing uses cyanide (CN−), which often results in large volumes of thiocyanate- (SCN−) contaminated wastewater requiring treatment. Microbial communities can degrade SCN− and CN−, but little is known about their membership and metabolic potential. Microbial-based remediation strategies will benefit from an ecological understanding of organisms involved in the breakdown of SCN− and CN− into sulfur, carbon and nitrogen compounds. We performed metagenomic analysis of samples from two laboratory-scale bioreactors used to study SCN− and CN− degradation. Community analysis revealed the dominance of Thiobacillus spp., whose genomes harbour a previously unreported operon for SCN− degradation. Genome-based 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 sulfur compounds produced during SCN− degradation. Heterotrophs, including a bacterium from a previously uncharacterized phylum, compose a smaller portion of the reactor community. Predation by phage and eukaryotes is predicted to affect community dynamics. Genes for ammonium oxidation and denitrification were detected, indicating the potential for nitrogen removal, as required for complete remediation of wastewater. These findings suggest optimization strategies for reactor design, such as improved aerobic/anaerobic partitioning and elimination of organic carbon from reactor feed.en_ZA
dc.identifierhttp://dx.doi.org/10.1111/1462-2920.12936
dc.identifier.apacitationKantor, R. S., van Zyl, A. W., van Hille, R. P., Thomas, B. C., Harrison, S. T. L., & Banfield, J. F. (2015). Bioreactor microbial ecosystems for thiocyanate and cyanide degradation unravelled with genome-resolved metagenomics. <i>Environmental Microbiology</i>, http://hdl.handle.net/11427/21536en_ZA
dc.identifier.chicagocitationKantor, R S, A W van Zyl, R P van Hille, B C Thomas, S T L Harrison, and J F Banfield "Bioreactor microbial ecosystems for thiocyanate and cyanide degradation unravelled with genome-resolved metagenomics." <i>Environmental Microbiology</i> (2015) http://hdl.handle.net/11427/21536en_ZA
dc.identifier.citationKantor, R. S., Zyl, A. W., Hille, R. P., Thomas, B. C., Harrison, S. T., & Banfield, J. F. (2015). Bioreactor microbial ecosystems for thiocyanate and cyanide degradation unravelled with genome‐resolved metagenomics. Environmental microbiology, 17(12), 4929-4941.en_ZA
dc.identifier.issn1462-2912en_ZA
dc.identifier.ris TY - Journal Article AU - Kantor, R S AU - van Zyl, A W AU - van Hille, R P AU - Thomas, B C AU - Harrison, S T L AU - Banfield, J F AB - Gold ore processing uses cyanide (CN−), which often results in large volumes of thiocyanate- (SCN−) contaminated wastewater requiring treatment. Microbial communities can degrade SCN− and CN−, but little is known about their membership and metabolic potential. Microbial-based remediation strategies will benefit from an ecological understanding of organisms involved in the breakdown of SCN− and CN− into sulfur, carbon and nitrogen compounds. We performed metagenomic analysis of samples from two laboratory-scale bioreactors used to study SCN− and CN− degradation. Community analysis revealed the dominance of Thiobacillus spp., whose genomes harbour a previously unreported operon for SCN− degradation. Genome-based 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 sulfur compounds produced during SCN− degradation. Heterotrophs, including a bacterium from a previously uncharacterized phylum, compose a smaller portion of the reactor community. Predation by phage and eukaryotes is predicted to affect community dynamics. Genes for ammonium oxidation and denitrification were detected, indicating the potential for nitrogen removal, as required for complete remediation of wastewater. These findings suggest optimization strategies for reactor design, such as improved aerobic/anaerobic partitioning and elimination of organic carbon from reactor feed. DA - 2015 DB - OpenUCT DP - University of Cape Town J1 - Environmental Microbiology LK - https://open.uct.ac.za PB - University of Cape Town PY - 2015 SM - 1462-2912 T1 - Bioreactor microbial ecosystems for thiocyanate and cyanide degradation unravelled with genome-resolved metagenomics TI - Bioreactor microbial ecosystems for thiocyanate and cyanide degradation unravelled with genome-resolved metagenomics UR - http://hdl.handle.net/11427/21536 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/21536
dc.identifier.vancouvercitationKantor RS, van Zyl AW, van Hille RP, Thomas BC, Harrison STL, Banfield JF. Bioreactor microbial ecosystems for thiocyanate and cyanide degradation unravelled with genome-resolved metagenomics. Environmental Microbiology. 2015; http://hdl.handle.net/11427/21536.en_ZA
dc.languageengen_ZA
dc.publisherWleyen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.rightsCreative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en_ZA
dc.sourceEnvironmental Microbiologyen_ZA
dc.source.urihttp://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1462-2920
dc.subject.otherEnvironmental Process Engineering
dc.titleBioreactor microbial ecosystems for thiocyanate and cyanide degradation unravelled with genome-resolved metagenomicsen_ZA
dc.typeJournal Articleen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceArticleen_ZA
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