Metagenomic data of free cyanide and thiocyanate degrading bacterial communities

Mekuto, Lukhanyo; Ntwampe, Seteno Karabo Obed; Mudumbi, John Baptist Nzukizi; Akinpelu, Enoch Akinbiyi; Mewa-Ngongang, Maxwell

doi:10.1016/j.dib.2017.06.049

Cited by 6 publications

(8 citation statements)

References 3 publications

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“…The TDOs were identified using the 16S rRNA amplicon gene sequencing approach to reveal the bacterial species that were present within the organisms [1] . The procedure and data that was utilised to identify the TDOs were published in [2] . The culture was grown in minimal media as described in [3] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

“…Fluorescein diacetate (FDA), Heterotrophic cell counts (CFU), Direct cell counts (DCC). Experimental features Thiocyanate degrading organisms (TDO) were isolated and identified as described in [2] . TDO's were grown for 98 h in SCN - containing solution where the

production was compared to traditional microbial growth/activity techniques such that

can be utilized as an indirect assessment of thiocyanate biodegradation system performance.…”

mentioning

confidence: 99%

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Process performance determination data in thiocyanate biodegradation systems: Use of sulphate production

et al. 2018

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This data article presents the utilization of sulphates as an indirect technique for the assessment of microbial growth, activity and SCN- biodegradation efficiency since the TDO were observed to be unable to utilise the produced sulphates as a source of sulphur (Mekuto e al., 2017) [1] The TDO demonstrated complete SCN- biodegradation while also utilizing the produced ammonium. The production of SO42- from SCN- biodegradation had a good correlation in comparison to the traditional methods of assessing microbial growth and activity i.e. direct cell counts (DCC), heterotrophic counts (CFU) and fluorescein production from fluorescein diacetate (FDA). The concentration of the produced SO42- demonstrated a similar logarithmic trend with the FDA, DCC and CFU techniques, thus confirming that the production of SO42- from SCN- biodegradation systems can be utilised as an indirect technique for the assessment of microbial growth, activity and SCN- biodegradation performance.

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

production was compared to traditional microbial growth/activity techniques such that

can be utilized as an indirect assessment of thiocyanate biodegradation system performance.…”

mentioning

confidence: 99%

Process performance determination data in thiocyanate biodegradation systems: Use of sulphate production

et al. 2018

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“…HMMER V 3.2.1 was used to search homologous sequences related to polyethylene terephthalate (PET) and polystyrene biodegradation functional domains, as well as for heavy metal related sequences (cadmium and lead). For this, we created custom profiles using a manually curated selection of representative sequences belonging to: (i) 11 well-characterized PET hydrolases [22], (ii) two sequences of styrene monooxygenase (StyA) functionally characterized, and (iii) for metals we selected well-known efflux transporters for Cd and Pb [23][24][25][26]. The construction of multiple alignments for each protein set was carried out by using Muscle v3.8 [27].…”

Section: Biodegradative and Metal Related Activities Prediction By Himentioning

confidence: 99%

Functional Analysis of a Polluted River Microbiome Reveals a Metabolic Potential for Bioremediation

et al. 2020

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The objective of this study is to understand the functional and metabolic potential of the microbial communities along the Apatlaco River and highlight activities related to bioremediation and its relationship with the Apatlaco’s pollutants, to enhance future design of more accurate bioremediation processes. Water samples were collected at four sampling sites along the Apatlaco River (S1–S4) and a whole metagenome shotgun sequencing was performed to survey and understand the microbial metabolic functions with potential for bioremediation. A HMMER search was used to detect sequence homologs related to polyethylene terephthalate (PET) and polystyrene biodegradation, along with bacterial metal tolerance in Apatlaco River metagenomes. Our results suggest that pollution is a selective pressure which enriches microorganisms at polluted sites, displaying metabolic capacities to tolerate and transform the contamination. According to KEGG annotation, all sites along the river have bacteria with genes related to xenobiotic biodegradation. In particular, functions such as environmental processing, xenobiotic biodegradation and glycan biosynthesis are over-represented in polluted samples, in comparison to those in the clean water site. This suggests a functional specialization in the communities that inhabit each perturbated point. Our results can contribute to the determination of the partition in a metabolic niche among different Apatlaco River prokaryotic communities, that help to contend with and understand the effect of anthropogenic contamination.

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“…The thiocyanate degrading microbial consortia used in this study were sampled from an active lab-scale SCNdegradation system operated at the Bioresource Engineering Research Group (BioERG) laboratories, Cape Town, South Africa. The TDO's were analyzed using the 16S rDNA amplicon gene sequencing approach to reveal the microbial species that were present within the microbial community and this data is available in Mekuto et al [10].…”

Section: Inoculum Preparation: Thiocyanate Degrading Organisms (Tdo)mentioning

confidence: 99%

“…The configuration of the reactor was as described in section 2.1. This mixed microbial community were identified using 16S rDNA amplicon gene sequencing and the data is available in [10]. These bacterial species were previously isolated from CNcontaining wastewater and were previously found to be cyanide degraders by [12], but were unable to degrade thiocyanate (data not shown).…”

Section: Inoculum Preparation: Cyanide Degrading Organisms (Cdo)mentioning

confidence: 99%

Heterotrophic nitrification-aerobic denitrification potential of cyanide and thiocyanate degrading microbial communities under cyanogenic conditions

Mekuto

Kim

Ntwampe

et al. 2018

Environmental Engineering Research

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The impact of free cyanide (CN-) and thiocyanate (SCN-) on the CN-(CDO) and SCNdegraders (TDO) to nitrify and denitrify aerobically was evaluated under alkaline conditions. The CDO's were able to nitrify under cyanogenic conditions, achieving NH4 +-N removal rates above 1.66 mg NH4 +-N.L-1 .h-1 , except when CNand SCNloading was 15 mg CN-/L and 50 mg SCN-.L-1 , respectively, which slightly inhibited nitrification. The TDO's were able to achieve a nitrification rate of 1.59 mg NH4 +-N.L-1 .h-1 in the absence of both CNand SCN-, while the presence of CNand SCNwas inhibitory, with a nitrification rates of 1.14 mg NH4 +-N.L-1 .h-1. The CDO's and TDO's were able to denitrify aerobically, with the CDO's obtaining NO3-N removal rates above 0.67 mg NO3-N.L-1 .h-1 , irrespective of the tested CNand SCNconcentration range. Denitrification by the TDO's was inhibited by CN-, achieving a removal rate of 0.46 mg NO3-N.L-1 .h-1 and 0.22 mg NO3-N.L-1 .h-1 when CNconcentration was 10 and 15 mg CN-.L-1 , respectively. However, when the CDO's and TDO's were co-cultured, the nitrification and aerobic denitrification removal rates were 1.78 mg NH4 +-N.L-1 .h-1 and 0.63 mg NO3-N.L-1 .h-1 irrespective of CNand SCNconcentrations.

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Metagenomic data of free cyanide and thiocyanate degrading bacterial communities

Cited by 6 publications

References 3 publications

Process performance determination data in thiocyanate biodegradation systems: Use of sulphate production

Process performance determination data in thiocyanate biodegradation systems: Use of sulphate production

Functional Analysis of a Polluted River Microbiome Reveals a Metabolic Potential for Bioremediation

Heterotrophic nitrification-aerobic denitrification potential of cyanide and thiocyanate degrading microbial communities under cyanogenic conditions

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