Dataset: A characterization of microbes at the San Pedro Ocean Time-series (SPOT) from 2005 to 2018, using SSU rRNA gene sequencing from two size fractions, with a universal primer set that amplifies from prokaryotes and eukaryotes

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.885982.1Version 1 (2022-12-29)Dataset Type:Cruise ResultsDataset Type:experimental

Principal Investigator: Jed A. Fuhrman (University of Southern California)

Scientist: Yi-Chun Yeh (University of Southern California)

Technician: Laura Furtado (University of Southern California)

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


Project: Protistan, prokaryotic, and viral processes at the San Pedro Ocean Time-series (SPOT)


Abstract

This study aims to characterize microbes at the San Pedro Ocean Time-series (SPOT) from 2005 to 2018, using small subunit (SSU) rRNA gene sequencing from two size fractions (0.2-1 and 1-80 μm), with a universal primer set that amplifies both prokaryotic 16S and eukaryotic 18S rRNA genes. This allows for direct comparisons of diversity patterns in a single set of analyses. This dataset includes National Center for Biotechnology Information (NCBI) accession numbers and related sample information.

Monthly San Pedro Ocean Time-series (SPOT) cruises on R/V Yellowfin were conducted in the San Pedro Channel, off the coast of Los Angeles, California, USA (33 N, 118 W). Samples were collected monthly from five depths, including 5 meters (m), deep chlorophyll maximum (DCM), 150m, 500m, and 890 m, between the years 2005 and 2018. Ten to fifteen liters of seawater was sequentially filtered through an 80-micrometer (μm) mesh, a 1-μm A/E filter (Pall, Port Washington, NY), and a 0.2-μm Durapore filter (ED Millipore, Billerica, MA). Filters were stored at -80° Celsius (C) until DNA extraction. Durapore filters (collecting material 0.2 to 1 μm) were used for free-living prokaryotic community analysis, and A/E filters (collecting material between 1 to 80 μm) were used to analyze phytoplankton, microzooplankton, and particle-associated or larger prokaryotic communities. DNA was extracted from the Durapore filters using a hot SDS, phenol/chloroform/isoamyl alcohol, ethanol precipitation extraction protocol as described by Fuhrman et al. (1988). DNA on the A/E filters was extracted using a NaCl/CTAB bead-beating extraction protocol as described by Lie et al. (2013) with slight modification by adding an ethanol precipitation step after lysis to reduce the volume of crude extract, which helps minimize DNA loss during the subsequent purification.

The V4-V5 hyper-variable region of the 16S and 18S rRNA genes were amplified simultaneously using a universal primer set 515Y (GTGYCAGCMGCCGCGGTAA) and 926R (CCGYCAATTYMTTTRAGTTT). All DNA samples were amplified and purified using the same conditions described in Yeh et al. 2021). Purified PCR products were pooled in equal amount and then sequenced on Illumina HiSeq 2500 in PE250 mode or MiSeq PE300.


Related Datasets

IsRelatedTo

Dataset: https://www.ncbi.nlm.nih.gov/bioproject/PRJEB35673
UNIVERSITY OF SOUTHERN CALIFORNIA. Comprehensive single-PCR 16S and 18S rRNA community analysis validated with mixed 16S and 18S rRNA mock communities and denoising algorithms. 2019/12. 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/PRJEB35673. NCBI:BioProject: PRJEB35673.
IsRelatedTo

Dataset: https://www.ncbi.nlm.nih.gov/bioproject/PRJEB48162
UNIVERSITY OF SOUTHERN CALIFORNIA. Monthly time-series analysis of the marine microbial community from two size fractions at the San Pedro Ocean Time-series station. 2021/11. 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/PRJEB48162. NCBI:BioProject: PRJEB48162.

Related Publications

General

Yeh, Y.-C., & Fuhrman, J. A. (2022). Contrasting diversity patterns of prokaryotes and protists over time and depth at the San-Pedro Ocean Time series. ISME Communications, 2(1). https://doi.org/10.1038/s43705-022-00121-8
General

Yeh, Y.-C., & Fuhrman, J. A. (2022). Effects of phytoplankton, viral communities, and warming on free-living and particle-associated marine prokaryotic community structure. Nature Communications, 13(1). https://doi.org/10.1038/s41467-022-35551-4
Methods

Fuhrman, J. A., Comeau, D. E., Hagström, Å., & Chan, A. M. (1988). Extraction from Natural Planktonic Microorganisms of DNA Suitable for Molecular Biological Studies. Applied and Environmental Microbiology, 54(6), 1426–1429. https://doi.org/10.1128/aem.54.6.1426-1429.1988
Methods

Lie, A., Kim, D., Schnetzer, A., & Caron, D. (2013). Small-scale temporal and spatial variations in protistan community composition at the San Pedro Ocean Time-series station off the coast of southern California. Aquatic Microbial Ecology, 70(2), 93–110. https://doi.org/10.3354/ame01652
Methods

Yeh, Y., McNichol, J., Needham, D. M., Fichot, E. B., Berdjeb, L., & Fuhrman, J. A. (2021). Comprehensive single‐PCR 16S and 18S rRNA community analysis validated with mock communities, and estimation of sequencing bias against 18S. Environmental Microbiology, 23(6), 3240–3250. Portico. https://doi.org/10.1111/1462-2920.15553