1. Microbial metagenomes and metatranscriptomes during a coastal phytoplankton bloom
- Author
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Marcel Huntemann, Alex Copeland, Courtney M. Thomas, I. Min A. Chen, Neha Varghese, Bryce Foster, Supratim Mukherjee, Simon Roux, Mary Ann Moran, Brian Foster, Nikos C. Kyrpides, Alicia Clum, Kaitlin Esson, Brent Nowinski, Krishnaveni Palaniappan, Tijana Glavina del Rio, Ronald P. Kiene, Chris Daum, Christina M. Preston, Christa B. Smith, Christopher A. Scholin, T. B. K. Reddy, William B. Whitman, Natalia Ivanova, James M. Birch, Roman Marin, and Emiley A. Eloe-Fadrosh
- Subjects
Statistics and Probability ,Data Descriptor ,010504 meteorology & atmospheric sciences ,Library and Information Sciences ,01 natural sciences ,Algal bloom ,18S ribosomal RNA ,California ,Education ,Microbial ecology ,03 medical and health sciences ,Element cycles ,Phytoplankton ,Genetics ,Sequencing ,14. Life underwater ,lcsh:Science ,030304 developmental biology ,0105 earth and related environmental sciences ,0303 health sciences ,biology ,Bacteria ,Ecology ,fungi ,Dinoflagellate ,Amplicon ,Eutrophication ,biology.organism_classification ,Archaea ,Computer Science Applications ,13. Climate action ,Metagenomics ,Dinoflagellida ,Metagenome ,lcsh:Q ,Statistics, Probability and Uncertainty ,Bloom ,Transcriptome ,Bay ,Information Systems - Abstract
Metagenomic and metatranscriptomic time-series data covering a 52-day period in the fall of 2016 provide an inventory of bacterial and archaeal community genes, transcripts, and taxonomy during an intense dinoflagellate bloom in Monterey Bay, CA, USA. The dataset comprises 84 metagenomes (0.8 terabases), 82 metatranscriptomes (1.1 terabases), and 88 16S rRNA amplicon libraries from samples collected on 41 dates. The dataset also includes 88 18S rRNA amplicon libraries, characterizing the taxonomy of the eukaryotic community during the bloom. Accompanying the sequence data are chemical and biological measurements associated with each sample. These datasets will facilitate studies of the structure and function of marine bacterial communities during episodic phytoplankton blooms., Design Type(s)transcription profiling design • sequence assembly objective • biodiversity assessment objectiveMeasurement Type(s)transcription profiling assay • marine metagenome • microbial communityTechnology Type(s)RNA sequencing • DNA sequencing • amplicon sequencingFactor Type(s)assay protocol • temporal_instantSample Characteristic(s)marine metagenome • Monterey Bay • ocean biome Machine-accessible metadata file describing the reported data (ISA-Tab format)
- Published
- 2019