Unknown

Dataset Information

0

Microbial communities in polychlorinated biphenyl (PCB)-contaminated wastewater lagoon sediments: PCB congener, quantitative PCR, and 16S rRNA gene amplicon sequencing datasets


ABSTRACT: The potential for aerobic and anaerobic microbial natural attenuation of PCBs in freshwater sediments is described by PCB congener, quantitative PCR, and 16S rRNA gene amplicon sequencing datasets generated, in duplicate, from 27 sediment samples collected from a PCB-contaminated freshwater lagoon (54 samples total). Sediment samples were subjected to a hexane PCB extraction protocol and the concentrations of 209 PCB congeners were determined in hexane extracts by gas chromatography with a tandem mass spectrometry detection. DNA was extracted from sediments sediment samples and used for qPCR and 16S rRNA amplicon sequencing. The abundance of 16S rRNA genes (i.e., Dehalococcoides and putative dechlorinating Chloroflexi) and functional genes (i.e., reductive dehalogenase (rdhA) and biphenyl dioxygenase (bphA)) associated with aerobic and anaerobic PCB biodegradation, along with the total 16S rRNA genes abundance, was determined by SYBR green qPCR. The microbial community composition and structure in all sediment samples was obtained by 16S rRNA gene amplicon sequencing. Primers targeting the 16S rRNA gene V4 region were used to produce 16S rRNA gene amplicons that were sequencing with the high-throughput Illumina MiSeq platform and sequencing chemistry. The 16S rRNA gene sequencing dataset along with PCB congener and qPCR datasets included as metadata, could be reused in meta-analyses that aim to determine microbial community interactions in contaminated environments, and uncover relationships between microbial community structure and environmental variable (e.g., PCB congener concentrations).

SUBMITTER: Mattes T 

PROVIDER: S-EPMC8601980 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

2010-03-20 | GSE17033 | GEO
| S-EPMC1449058 | biostudies-literature
2010-03-20 | E-GEOD-17033 | biostudies-arrayexpress
| S-EPMC2854002 | biostudies-literature
| S-EPMC8080837 | biostudies-literature
| S-EPMC3109864 | biostudies-literature