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SRX9501108: Metagenomic sequencing of sample from Terret coal seam
1 ILLUMINA (NextSeq 500) run: 36.5M spots, 11G bases, 4.8Gb downloads

Design: We use Picogreen (Invitrogen) to quantitate genomic DNA samples. DNA is sheared using a Covaris and libraries are constructed with the Nugen Ovation Ultralow Library protocol. We aim for an insert size of 400 bp to maximize data. Amplified libraries are visualized on an Agilent DNA1000 chip or Caliper HiSens Bioanalyzer assay, pooled at equimolar concentrations based on these results, and size selected using a Sage PippinPrep 2% cassette. The library pool is quantified using a Kapa Biosystems qPCR library quantification protocol, then sequenced on the Illumina NextSeq in a 2x150 paired-end sequencing run using dedicated read indexing. The samples are demultiplexed with bcl2fastq.
Submitted by: Marine Biological Laboratory
Study: Metagenomic Sequencing of Sulfate Transition Zones Located in Recalcitrant Carbon Rich Coal Seams
show Abstracthide Abstract
The significance of different carbon (C) cycling pathways involved in the turnover of recalcitrant carbon under various redox conditions is still a topic of debate, and in fact, unknown C cycling pathways are still being discovered. Redox transitions exist along gradients of increasingly recalcitrant C in many environments and metagenomic sequencing coupled with hydrogeochemistry could determine redox control on microbial processes at the genotypic/ecological level. The proposed study will identify: (i) the metabolic capacities of recalcitrant organic carbon utilization of coal-associated microbial communities, and (ii) the microbial assemblages and associated subsurface carbon processing and methane production from recalcitrant coal samples collected along a vertical redox gradient. This fundamental knowledge is necessary to understand the microbial processes governing subsurface carbon turnover in relationship to biogenic CH4 and helps identify unknown pathways that link terrestrial subsurface C cycling with CO2 and CH4. The metagenomic data will be placed into the context of a larger dataset consisting of hydrological, geochemical, and SSU rRNA gene amplicon sequencing (with stable isotope probing) metadata. PI: Matthew W. Fields, Montana State University.
Sample: Terret
SAMN16787919 • SRS7709874 • All experiments • All runs
Organism: coal metagenome
Library:
Name: T-11
Instrument: NextSeq 500
Strategy: WGS
Source: METAGENOMIC
Selection: RANDOM
Layout: PAIRED
Runs: 1 run, 36.5M spots, 11G bases, 4.8Gb
Run# of Spots# of BasesSizePublished
SRR1305170836,475,80311G4.8Gb2020-11-12

ID:
12416576

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