Dataset of Selective Enrichment and Fermentation Characteristics of Clostridium SPP. in Anthracite
The biogasification of coal, represented by coal-to-hydrogen and coal-to-methane, requires the cooperation of various types of bacteria to process the transformation of coal to clean gas from solid energy. It is important to research the isolation method and analyze the metabolic characteristics of strain at key metabolic point for biodegradation of coal in revealing the bio-utilization mechanism of coal and clarifying the mechanism of multi-bacteria cooperation. The propose of this study was to enrich one butyric acid-producing bacteria form Sihe coal sample, and to clarify the characteristics of the metabolites of it. Firstly, the optimal Clostridium SPP. enrichment medium was established by synthesizing nutrition regulation cultivation and biodiversity analysis. Analysis data indicated that the glucose-sucrose-maltose medium was the beneficial medium to the enrichment of butyric acid-producing bacteria. The metabolite characteristics was clear by the analysis of gas and liquid compounds in the enrichment of Clostridium SPP.. The dataset confirmed that butyric acid was the main metabolite of this strain, and did not have obvious characteristics of CO2 and H2 productions.
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The gas yield was measured through 500 mL gas needle, and measured every 2 days. The concentration of CH4 and CO2 were analyzed using Agilent 7890A (Agilent, Tokyo, Japan) gas chromatograph. The content of formic acid, acetic acid, propionic acid, and butyric acid was determined by gas chromatography-mass spectrometry, which consisted of an Agilent 7890A (Agilent, America) gas chromatograph and a 5975C (Agilent, America) mass spectrometer. Total genomic DNA was extracted from 1 mL concentrated underground water samples using E.A.N.A. Soil DNA Kit (OMEGA, Georgia, GA, USA). The V4 region of 16S rRNA gene was amplified with polymerase chain reaction (PCR) using primers 515F (5’- GTG CCA GCM GCC GCG GTAA - 3’) and 806R (5’- GGA CTA CHV GGG TWT CTA AT - 3’). 16S rRNA gene libraries were sequenced using an Illumina MiSeq (San Diego, CA, USA) platform and the sequencing data were base-called and demultiplexed using MiSeq Reporter v.1.8.1 (Illumina, SanDiego, CA, USA) with default parameters. The adapter sequences and low quality reads were trimmed away from the raw reads with Trimmomatic v.0.32. The resulting representative sequence set was aligned against the core sequence database of the SILVA 123 release with the Mothur script (www.mothur.org/) and given a taxonomic classification using RDP at the 80% confidence level. Figures were drawn using Origin (OriginPro 2018C).