Microbial metagenomes and metatranscriptomes during a coastal phytoplankton bloom

Area of Science:

• Marine microbial ecology
• Genomics
• Oceanography

Background:

• Phytoplankton blooms significantly impact marine ecosystems.
• Understanding microbial community dynamics during these events is crucial.
• Monterey Bay is a dynamic environment prone to such blooms.

Purpose of the Study:

• To inventory bacterial and archaeal community genes, transcripts, and taxonomy.
• To characterize the eukaryotic community during a dinoflagellate bloom.
• To provide a comprehensive dataset for studying marine microbial communities during blooms.

Main Methods:

• Metagenomic sequencing (0.8 terabases)
• Metatranscriptomic sequencing (1.1 terabases)
• 16S and 18S rRNA amplicon sequencing
• Time-series sampling over 52 days
• Chemical and biological measurements

Main Results:

• Detailed inventory of microbial community composition and function.
• Characterization of both prokaryotic and eukaryotic communities.
• Establishment of a time-series dataset linking microbial data with environmental parameters.

Conclusions:

• The generated dataset provides a valuable resource for marine microbial ecology.
• Facilitates in-depth studies of microbial community structure and function during phytoplankton blooms.
• Enables research on the ecological roles of bacteria and archaea in bloom dynamics.