Identification of benzene-degrading Proteobacteria in a constructed wetland by employing in situ microcosms and RNA-stable isotope probing.
Appl Microbiol Biotechnol
; 104(4): 1809-1820, 2020 Feb.
Article
em En
| MEDLINE
| ID: mdl-31867694
ABSTRACT
Constructed wetlands (CWs) are effective ecological remediation technologies for various contaminated water bodies. Here, we queried for benzene-degrading microbes in a horizontal subsurface flow CW with reducing conditions in the pore water and fed with benzene-contaminated groundwater. For identification of relevant microbes, we employed in situ microcosms (BACTRAPs, which are made from granulated activated carbon) coupled with 13C-stable isotope probing and Illumina sequencing of 16S rRNA amplicons. A significant incorporation of 13C was detected in RNA isolated from BACTRAPs loaded with 13C-benzene and exposed in the CW for 28 days. A shorter incubation time did not result in detectable 13C incorporation. After 28 days, members from four genera, namely Dechloromonas, Hydrogenophaga, and Zoogloea from the Betaproteobacteria and Arcobacter from the Epsilonproteobacteria were significantly labeled with 13C and were abundant in the bacterial community on the BACTRAPs. Sequences affiliated to Geobacter were also numerous on the BACTRAPs but apparently those microbes did not metabolize benzene as no 13C label incorporation was detected. Instead, they may have metabolized plant-derived organic compounds while using the BACTRAPs as electron sink. In representative wetland samples, sequences affiliated with Dechloromonas, Zoogloea, and Hydrogenophaga were present at relative proportions of up to a few percent. Sequences affiliated with Arcobacter were present at < 0.01% in wetland samples. In conclusion, we identified microbes of likely significance for benzene degradation in a CW used for remediation of contaminated water.
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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Benzeno
/
Proteobactérias
/
Áreas Alagadas
Tipo de estudo:
Diagnostic_studies
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article