Dataset: NCBI accession numbers describing nifH amplicon sequences from sediment samples collected offshore of San Francisco, Califronia, USA in March 2017 on R/V Oceanus cruise OC1703A

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.863192.1Version 1 (2021-10-13)Dataset Type:Cruise Results

Principal Investigator: Anne E. Dekas (Stanford University)

BCO-DMO Data Manager: Shannon Rauch (Woods Hole Oceanographic Institution)


Project: Nitrogen Fixation in Deep-Sea Sediments (Deep Sediment N Fix)


Abstract

These data are raw, demultiplexed nifH amplicon sequences generated from Illumina MiSeq for the investigation of potential diazotroph diversity along a continental margin transect. Raw Illumina MiSeq 2×250 bp sequence data can be accessed in the NCBI SRA database under accession numbers ERP130242 and ERP120468 and BioProject accession numbers PRJEB46054 and PRJEB37167. Data under accession number ERP120468 and BioProject accession number PRJEB37167 were published in Kapili and Dekas, 2021. The g...

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Sediment samples were collected using a multicorer on board the R/V Oceanus (March 2017) and sample aliquots were immediately stored at -80°C until DNA extraction. DNA was extracted in the laboratory using an RNeasy PowerSoil DNA elution kit (Qiagen, catalog no. 12867-25) after RNA was extracted using an RNeasy PowerSoil Total RNA kit. (Qiagen, catalog no. 12866-25).

nifH sequences were amplified using the PCR primers described in Mehta et al., 2003 and amplicons were prepared for 2×250 bp sequencing on an Illumina MiSeq platform following the protocol described in Kapili et al., 2020.


Related Datasets

IsRelatedTo

Dataset: http://www.ncbi.nlm.nih.gov/bioproject/PRJEB37167
STANFORD UNIVERSITY. PPIT: an R package for inferring microbial taxonomy from nifH sequences. 2020/09. In: BioProject [Internet]. Bethesda, MD: National Library of Medicine (US), National Center for Biotechnology Information; 2011-. Available from: http://www.ncbi.nlm.nih.gov/bioproject/PRJEB37167. NCBI:BioProject: PRJEB37167

Related Publications

Results

Kapili, B. J., & Dekas, A. E. (2021). PPIT: an R package for inferring microbial taxonomy from nifH sequences. Bioinformatics, 37(16), 2289–2298. doi:10.1093/bioinformatics/btab100
Methods

Kapili, B. J., Barnett, S. E., Buckley, D. H., & Dekas, A. E. (2020). Evidence for phylogenetically and catabolically diverse active diazotrophs in deep-sea sediment. The ISME Journal, 14(4), 971–983. doi:10.1038/s41396-019-0584-8
Methods

Mehta, M. P., Butterfield, D. A., & Baross, J. A. (2003). Phylogenetic Diversity of Nitrogenase (nifH) Genes in Deep-Sea and Hydrothermal Vent Environments of the Juan de Fuca Ridge. Applied and Environmental Microbiology, 69(2), 960–970. doi:10.1128/aem.69.2.960-970.2003