Dataset: Analysis protocols, sample information, code, and datasets associated with the manuscript Structure and long-term stability of the microbiome in diverse diatom cultures from samples collected in Guam, California, and Gulf of Mexico between 2008 and 2016

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.855750.1Version 1 (2021-07-15)Dataset Type:Other Field Results

Principal Investigator: James Jeffrey Morris (University of Alabama at Birmingham)

Co-Principal Investigator: Matt Ashworth (University of Texas at Austin)

BCO-DMO Data Manager: Amber D. York (Woods Hole Oceanographic Institution)


Project: Collaborative Research: Ecology and Evolution of Microbial Interactions in a Changing Ocean (LTPE)


Abstract

Analysis protocols, sample information, code, and datasets associated with the manuscript Structure and long-term stability of the microbiome in diverse diatom cultures. Sequence data is available from the NCBI SRA archive, BioProject PRJNA706454.

See "Data Files" section for access to download the data and analysis code "Ashworth_data_and_analysis.zip".  The sample information and genetic accession identifiers are available as a data table from this page.


Related Datasets

IsRelatedTo

Dataset: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA706454
Morris, J. J., University of Alabama at Birmingham (2021). Structure and Long-Term Stability of the Microbiome in Diverse Diatom Cultures. 2021/03. In NCBI:BioProject: PRJNA706454. Bethesda, MD: National Library of Medicine (US), National Center for Biotechnology Information; Available from: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA706454.

Related Publications

Results

Barreto Filho, M. M., Walker, M., Ashworth, M. P., & Morris, J. J. (2021). Structure and Long-Term Stability of the Microbiome in Diverse Diatom Cultures. Microbiology Spectrum. doi:10.1128/spectrum.00269-21
Methods

Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Lozupone, C. A., Turnbaugh, P. J., … Knight, R. (2010). Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample. Proceedings of the National Academy of Sciences, 108(Supplement_1), 4516–4522. doi:10.1073/pnas.1000080107
Methods

Guillard, R. R. L. (1975). Culture of Phytoplankton for Feeding Marine Invertebrates. Culture of Marine Invertebrate Animals, 29–60. doi:10.1007/978-1-4615-8714-9_3
Methods

Kozich, J. J., Westcott, S. L., Baxter, N. T., Highlander, S. K., & Schloss, P. D. (2013). Development of a Dual-Index Sequencing Strategy and Curation Pipeline for Analyzing Amplicon Sequence Data on the MiSeq Illumina Sequencing Platform. Applied and Environmental Microbiology, 79(17), 5112–5120. doi:10.1128/aem.01043-13
Software

R Core Team (2020). R: A language and environment for statistical computing. R v4.0.3. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/