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

Brook L Nunn1, Emma Timmins-Schiffman1, Miranda C Mudge1

  • 1University of Washington, Department of Genome Sciences, Seattle, WA 98195.

Biorxiv : the Preprint Server for Biology
|October 10, 2024
PubMed
Summary
This summary is machine-generated.

High-resolution sampling of marine microbes in East Sound, WA, revealed the bloom dynamics of phytoplankton and bacteria. This study provides a comprehensive dataset for understanding microbial community structure and its influence on bloom cycles.

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Area of Science:

  • Marine microbiology
  • Oceanography
  • Ecology

Background:

  • Phytoplankton blooms are crucial to marine ecosystems.
  • Understanding microbial community dynamics during blooms is essential.

Purpose of the Study:

  • To investigate the temporal dynamics of marine microbial communities during phytoplankton and bacterial blooms.
  • To provide a high-resolution dataset linking microbial gene abundances with environmental parameters.

Main Methods:

  • Collected marine microbial samples every 4 hours for 22 days in East Sound, WA.
  • Performed DNA sequencing on 128 size-fractionated samples (0.22-1.2 μm).
  • Integrated metagenomic data with nutrient analyses, flow cytometry, and physical environmental data.

Main Results:

  • Captured the complete bloom cycle of *Chaetoceros socialis* and a subsequent bacterial bloom.
  • Generated gene abundance data for dominant bacteria, archaea, and viruses.
  • Documented bloom succession and microbial community shifts.

Conclusions:

  • The dataset facilitates modeling efforts to understand microbial roles in bloom initiation, growth, and senescence.
  • Provides insights into coastal microbial ecology and bloom dynamics.
  • Establishes a valuable resource for studying marine microbial communities.