Table of Contents

• Coverage
• Dataset Description
  • Methods & Sampling
  • Data Processing Description
• Data Files
• Parameters
• Instruments
• Deployments
• Project Information
• Funding

Daily Chlorophylla (ug/L) data from surface waters off of the Santa Monica Pier, California from April 13th to May 5th 2019 as part of the San Pedro Ocean Time-series (SPOT).

Chlorophyll Extraction by Non-Acidification Method
Whole seawater collected from Santa Monica Pier, CA by bucket off pier. Portion of whole seawater placed in dark for chlorophyll processing. Bottle shaken, then filtered on to GFF filter (Glass Microfiber Filter, 0.7um, 25mm,Whatman) using tower rig and gast pump vacuum. Triplicates taken for each day. Wrapped in foil and flash frozen in liquid nitrogen to preserve. Stored in lab in -80C freezer till processed.
In Lab processing: using glass cuvette (Disposable Culture Tubes, Borosilicate Glass, 12x75mm, VWR), place individual filter inside, add 4ml 100% Acetone, and cap. Ensure filter is submerged in acetone. Wrap all samples in foil and place in -20C freezer for 18-24hr. Between 18-24hrs remove samples and thaw for 30 minutes, keep in dark. Using Turner Design Fluorometer, calibrate using stored standard. For samples, invert sample multiple times, uncap, using metal spatula remove filter, use Kimwipe to clean off outside of cuvette, place in fluorometer and record both raw fluoresce and direct concentration. Dilution may be necessary if raw fluoresce is above 250 RFU.

Chlorophyll data was processed in Microsoft Word Excel 2011, for calibration correction on samples and averaging triplicate values.

BCO-DMO data manager processing notes:
* column names modified to remove spaces, units, and parentheses.  Column names, descriptions and units can be found in the "Parameter Description" section.

Planktonic marine microbial communities consist of a diverse collection of bacteria, archaea, viruses, protists (phytoplankton and protozoa) and small animals (metazoan). Collectively, these species are responsible for virtually all marine pelagic primary production where they form the basis of food webs and carry out a large fraction of respiratory processes. Microbial interactions include the traditional role of predation, but recent research recognizes the importance of parasitism, symbiosis and viral infection. Characterizing the response of pelagic microbial communities and processes to environmental influences is fundamental to understanding and modeling carbon flow and energy utilization in the ocean, but very few studies have attempted to study all of these assemblages in the same study. This project is comprised of long-term (monthly) and short-term (daily) sampling at the San Pedro Ocean Time-series (SPOT) site. Analysis of the resulting datasets investigates co-occurrence patterns of microbial taxa (e.g. protist-virus and protist-prokaryote interactions, both positive and negative) indicating which species consistently co-occur and potentially interact, followed by examination gene expression to help define the underlying mechanisms. This study augments 20 years of baseline studies of microbial abundance, diversity, rates at the site, and will enable detection of low-frequency changes in composition and potential ecological interactions among microbes, and their responses to changing environmental forcing factors. These responses have important consequences for higher trophic levels and ocean-atmosphere feedbacks. The broader impacts of this project include training graduate and undergraduate students, providing local high school student with summer lab experiences, and PI presentations at local K-12 schools, museums, aquaria and informal learning centers in the region. Additionally, the PIs advise at the local, county and state level regarding coastal marine water quality.

This research project is unique in that it is a holistic study (including all microbes from viruses to small metazoa) of microbial species diversity and ecological activities, carried out at the SPOT site off the coast of southern California. In studying all microbes simultaneously, this work aims to identify important ecological interactions among microbial species, and identify the basis(es) for those interactions. This research involves (1) extensive analyses of prokaryote (archaean and bacterial) and eukaryote (protistan and micro-metazoan) diversity via the sequencing of marker genes, (2) studies of whole-community gene expression by eukaryotes and prokaryotes in order to identify key functional characteristics of microorganismal groups and the detection of active viral infections, and (3) metagenomic analysis of viruses and bacteria to aid interpretation of transcriptomic analyses using genome-encoded information. The project includes exploratory metatranscriptomic analysis of poorly-understood aphotic and hypoxic-zone protists, to examine their stratification, functions and hypothesized prokaryotic symbioses.