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

 

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dc.contributor.author Kantor, R S
dc.contributor.author van Zyl, A W
dc.contributor.author van Hille, R P
dc.contributor.author Thomas, B C
dc.contributor.author Harrison, S T L
dc.contributor.author Banfield, J F
dc.date.accessioned 2016-08-25T10:13:27Z
dc.date.available 2016-08-25T10:13:27Z
dc.date.issued 2015
dc.identifier http://dx.doi.org/10.1111/1462-2920.12936
dc.identifier.citation Kantor, 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.issn 1462-2912 en_ZA
dc.identifier.uri http://hdl.handle.net/11427/21536
dc.description.abstract 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. en_ZA
dc.language eng en_ZA
dc.publisher Wley en_ZA
dc.rights Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) *
dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0/ en_ZA
dc.source Environmental Microbiology en_ZA
dc.source.uri http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1462-2920
dc.subject.other Environmental Process Engineering
dc.title Bioreactor microbial ecosystems for thiocyanate and cyanide degradation unravelled with genome-resolved metagenomics en_ZA
dc.type Journal Article en_ZA
dc.date.updated 2016-08-25T08:44:23Z
uct.type.publication Research en_ZA
uct.type.resource Article en_ZA
dc.publisher.institution University of Cape Town
uct.type.filetype Text
uct.type.filetype Image
dc.identifier.apacitation Kantor, 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/11427/21536 en_ZA
dc.identifier.chicagocitation Kantor, 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/11427/21536 en_ZA
dc.identifier.vancouvercitation Kantor 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.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


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