2017
DOI: 10.3389/fmicb.2017.00593
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Microbial and Isotopic Evidence for Methane Cycling in Hydrocarbon-Containing Groundwater from the Pennsylvania Region

Abstract: The Pennsylvania region hosts numerous oil and gas reservoirs and the presence of hydrocarbons in groundwater has been locally observed. However, these methane-containing freshwater ecosystems remain poorly explored despite their potential importance in the carbon cycle. Methane isotope analysis and analysis of low molecular weight hydrocarbon gases from 18 water wells indicated that active methane cycling may be occurring in methane-containing groundwater from the Pennsylvania region. Consistent with this obs… Show more

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Cited by 31 publications
(18 citation statements)
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“…In any case, the origin of riverine CH 4 highly enriched in heavy isotopes (our first option) is still conjectural and cannot be resolved with our current data set. Reasonable assumptions include methanogenesis from highly oxidised organic matter, aerobic oxidation of CH 4 produced upstream or groundwater discharge, which can carry dissolved CH 4 quite enriched in heavy isotopes (Vigneron et al, 2017). Additional sampling upstream is required to investigate these hypotheses.…”
Section: Discussionmentioning
confidence: 99%
“…In any case, the origin of riverine CH 4 highly enriched in heavy isotopes (our first option) is still conjectural and cannot be resolved with our current data set. Reasonable assumptions include methanogenesis from highly oxidised organic matter, aerobic oxidation of CH 4 produced upstream or groundwater discharge, which can carry dissolved CH 4 quite enriched in heavy isotopes (Vigneron et al, 2017). Additional sampling upstream is required to investigate these hypotheses.…”
Section: Discussionmentioning
confidence: 99%
“…The 16S rRNA, mcrA, dsrAB, and multiheme cytochrome c genes and transcripts were extracted from the metagenome and metatranscriptome sequence data using vsearch against publicly available data sets for 16S rRNA (Silva release 129) (86), mcrA (42), dsrAB (43), and multiheme cytochrome c (29). Taxonomic affiliations of extracted genes were assigned with BLAST against their respective database using QIIME 1.9.1 (87).…”
Section: Methodsmentioning
confidence: 99%
“…Sequences with low quality scores or flagged as chimeras using UChime were removed. Alignment and determination of the taxonomic affiliation of the reads were carried out using BLAST against Silva release 119 62 , dsrAB 63 and mcrA 64 sequences databases as references. Raw sequences were deposited in the NCBI public database under Bioproject PRJNA385797.…”
Section: Methodsmentioning
confidence: 99%