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      Microbial Metagenomes Across a Complete Phytoplankton Bloom Cycle: High-Resolution Sampling Every 4 Hours Over 22 Days

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          Abstract

          In May and June of 2021, marine microbial samples were collected for DNA sequencing in East Sound, WA, USA every 4 hours for 22 days. This high temporal resolution sampling effort captured the last 3 days of a Rhizosolenia sp. bloom, the initiation and complete bloom cycle of Chaetoceros socialis (8 days), and the following bacterial bloom (2 days). Metagenomes were completed on the time series, and the dataset includes 128 size-fractionated microbial samples (0.22-1.2 µ m), providing gene abundances for the dominant members of bacteria, archaea, and viruses. This dataset also has time-matched nutrient analyses, flow cytometry data, and physical parameters of the environment at a single point of sampling within a coastal ecosystem that experiences regular bloom events, facilitating a range of modeling efforts that can be leveraged to understand microbial community structure and their influences on the growth, maintenance, and senescence of phytoplankton blooms.

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          Author and article information

          Journal
          bioRxiv
          BIORXIV
          bioRxiv
          Cold Spring Harbor Laboratory
          2692-8205
          28 September 2024
          : 2024.09.27.614549
          Author information
          http://orcid.org/0000-0002-7361-4359
          http://orcid.org/0000-0002-2478-6541
          http://orcid.org/0000-0003-3769-5937
          http://orcid.org/0000-0002-6580-8073
          http://orcid.org/0000-0002-4533-7470
          http://orcid.org/0000-0003-4482-1831
          http://orcid.org/0000-0003-1633-8607
          http://orcid.org/0000-0001-7283-4715
          http://orcid.org/0000-0002-3518-0035
          http://orcid.org/0009-0004-1089-9395
          http://orcid.org/0000-0002-8162-1276
          Article
          10.1101/2024.09.27.614549
          11463347
          39386737
          564313c5-d6cf-46e6-8565-01606da9f6a1

          This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.

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