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Microbial Populations in PFHxSAm (perfluorohexane sulfonamido propyl amine) Biodegradation Microcosms
Water resources around the world are contaminated with per- and polyfluoroalkyl substances (PFAS) due to releases from point sources on military installations, fire training centers, and chemical manufacturing sites. Non-point sources have also been identified including wastewater effluent, landfills, and biosolids application. PFAS are a major concern to myriad stakeholders as some are known to bioaccumulate, they have eco-toxicity effects, and they are highly recalcitrant. PFAS are often called “forever chemicals” due to their environmental persistence but many precursor PFAS are transformed in the environment by microbes. Recent work has shown that PFAS can be biologically degraded in laboratory studies, but the microbial populations catalyzing degradation are poorly characterized. We conducted laboratory microcosm experiments to investigate the biotransformation of perfluorohexane sulfonamido propyl amine (PFHxSAm), a predominant precursor in 3M Aqueous Film Forming Foam (3M AFFF), by native microbial populations in upwelling sediment-water slurries from Ashumet Pond, MA. Ashumet Pond is affected by multiple PFAS-contaminated groundwater plumes from Joint Base Cape Cod, MA. The field collected samples were used to construct aerobic microcosms for monitoring PFHxSAm biodegradation. Microbial community composition was analyzed at 4 timepoints using Illumina 16S rRNA gene iTag sequencing and quantitative PCR (qPCR) targeting bacterial 16S rRNA genes. Experiments were performed in triplicate and abiotic controls were included in each experiment. The data release contains the results of Illumina iTag sequencing and qPCR for microbial community characterization. Four tables are provided that describe the experimental bottles, the results of DNA quantification, the results of biomass estimates using qPCR, and the taxonomic data based on sequencing results (provided as a biom file).
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Per- and polyfluoroalkyl substances (PFAS) and volatile organic compounds measured in laboratory microcosm experiments with soil from Fort Drum, New York
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Anaerobic microcosm experiments were conducted in April-May 2018 with PFAS-contaminated soil from a U.S. Army installation (Fort Drum, New York) and simulated groundwater. All microcosms, except for a live sediment control, were amended with perfluorooctanesulfonate (PFOS), perfluorooctanoate (PFOA), and 6:2 fluorotelomer sulfonate (6:2 FtS). Replicate treatments were prepared with and without bioaugmentation with the WBC-2 dehalogenating culture and with and without addition of chlorinated volatile organic compounds (1,1,2,2-tetrachloroethane and trichloroethylene). Two additional treatments were prepared containing granular activated carbon. All microcosms were prepared in duplicate and sacrificed for sampling. Analyses were conducted for PFOS, PFOA, 6:2 FtS, and volatile organic compounds in the water and sediment for each sampling point. Methane analyses were also conducted on selected samples to evaluate redox conditions. Microbial communities were analyzed on sediment slurry collected at each sampling point.
Soil microbes surrounding native and non-native Phragmites australis in the Great Lakes and East Coast of the United States (2015-2017 survey). (ver. 1.1, December 2020)
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To determine the differences in soil microbial community composition between native and non-native lineages of Phragmites, we sampled soils from eight sites in the Great Lakes basin where populations of native and non-native Phragmites co-occurred. In addition, we included samples of soils from 27 populations of Phragmites across the Gulf of Mexico and Atlantic Coasts of the US. Samples were collected between July 2015 and September 2017. At each site in the Great Lakes, we sampled rhizosphere and bulk soil surrounding one ramet of each lineage. Samples from Atlantic and Gulf coasts were collected by homogenizing rhizosphere soils from multiple ramets of one population within a single lineage. DNA was extracted from soils and fungal, bacterial, and oomycete DNA was amplified to identify the microbial constituents. Amplicons were sequenced using Illumina MiSeq. This dataset includes outputs of bioinformatic analysis of sequences including operational taxonomic unit (OTU) generation, OTU abundance, resolved taxonomy, and environmental metadata collected in our survey. Raw sequences were uploaded to the NCBI Sequence Read Archive under SRA accession number PRJNA601975. First posted: October 22, 2020 (available by request) Minor Revision: December, 2020 (version 1.1)
Presence/absence Quantitative Polymerase Chain Reaction (qPCR) Data from the Sediment-Bound Contaminant Resiliency and Response Strategy Pilot Study, Northeastern United States, 2015
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Due to the recognized proliferation and spread of antibiotic resistance genes by anthropogenic use of antibiotics for human, agriculture and aquaculture purposes, antibiotic resistance genes have been defined as an emerging contaminant (Laxminarayan and others, 2013; Rodriguez-Rojas and others, 2013; Niu and others, 2016). The presence and spread of these genes in non-clinical and non-agricultural environments has created the need for background investigations to enhance our understanding of the magnitude and risks associated with this emerging field (Allen and others, 2010). The current global economic costs of antibiotic resistant microorganisms is about 5.8 trillion USD, which is approximately equivalent to the combined GDP of Germany and the United Kingdom (Taylor and others, 2014). In this study researchers screened soil and sediment samples for the presence of 15 antibiotic resistance gene targets and 5 species of Vibrio (a marker of marine inundation) to determine natural background concentrations. These data provide a foundation to address background prevalence of these genetic targets in the northeastern United States (U.S.) to address regional influences (sources of pollutants) and to contrast future influences due to sea-level rise and large scale storms.
Concentrations of inorganic, organic, and microbial analytes from a national reconnaissance of wastewater from food, beverage, and feedstock facilities across the United States
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This dataset contains results for treated wastewater samples collected at food processing facilities across the United States to characterize the potential contaminant profile of this type of wastewater. The associated report (Hubbard and others, 2021) can be found at https://doi.org/10.1021/acs.est.XXXXXXX. Samples were analyzed by USGS laboratories using 10 target organic (576 unique analytes), 13 inorganic (32 unique analytes), and 18 microbial (15 bacterial groups) methods. Concentration results and site descriptions are presented within.