Table of Contents

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

Pico- and nanoplankton cell concentrations from CTD casts made during the August-September 2013 EN532 and April-May 2014 EN358 cruises aboard R/V Endeavor. Study sites in the subarctic Atlantic Ocean along the 20 °W meridian between 50 °N and 60 °N in September 2013 and May 2014. Two transects from the US East coast to the subarctic study sites were performed as well.

Related Dataset:
EN532 - CTD
EN538 - CTD
Chlorophyll-a: EN532 and EN538
Nutrients: EN532 and EN538
Particulate N and NO3 isotopes: EN532

The cell abundance of pico- and nanophytoplankton (<~14 µm cell diameter) was determined by flow cytometric analysis of 1500 µl of glutaraldehyde-preserved (1% v/v) (Marie et al. 1997) samples using a BD Accuri C6 flow cytometer equipped with a blue laser (488 nm), at a flow rate of 100 µl min-1, and a core diameter of 22 µm. Standard fluorescent bead solutions were prepared daily and used as an internal standard to assess instrument performance, to standardise scatter and fluorescence measurements (Rainbow Calibration Particles (8 peaks), BD Biosciences), and to validate the flow rate (TruCount, BD Biosciences) for quantitative applications. Each sample was run with fluorescent beads (YG beads, 0.94 µm Fluoresbrite® Yellow Green Microspheres, Polysciences, Inc.) as an internal standard for forward scatter measurements.

We distinguished several phytoplankton groups based on their forward (FSC) and side scatter (SSC), Chla, and phycoerythrin (PE) fluorescence signals: the picophytoplankton (<~2.5 µm) group comprised PE-containing Synechococcus and non-PE-containing picoeukaryotes (picoEuk), the nanophytoplankton groups (nanoEuk, >~2.5 - 14 µm) included PE-containing nanophytoplankton (PE_Euk), non-PE-containing phytoplankton, and coccolithophores (Cocco) (the latter group was identified based on their enhanced side scatter signal). The total concentration of nanoeukaryote phytoplankton (totnanoEuk) is the sum of PE_Euk, Cocco, and non-PE-containing phytoplankton other than Cocco.

The picoplanktonic Prochlorococcus cells were counted in SYBR Green I-stained samples (Marie et al. 1997), according to (Heywood et al. 2006), because of the difficulty of discriminating unstained cells from background noise. The concentration of heterotrophic bacterial cells was determined by flow cytometric analysis of 250 µl of glutaraldehyde-preserved (1% v/v) and SYBR Green I-stained (1:7500) samples according to Marie et al. (1997) and Gasol and Del Giorgio (2000). The Prochlorococcus and heterotrophic bacteria samples were analysed using a BD Accuri C6 flow cytometer, at a flow rate of 35 µl min-1, and a core diameter of 16 µm. All plankton groups were gated and their abundance quantified using FlowJo software (Tree Star, Inc., www.flowjo.com).

The biovolume of phytoplankton cells analysed by flow cytometry was derived from forward scatter measurements of individual cells based on the polynomial relationship between the log10 of measured biovolumes of pico- and nanophytoplankton cells and the log10 of the peak area of their forward scatter signal (FSC-A) (Laney & Sosik 2014). A calibration procedure, using bead stocks and an unidentified cultured picoeukaryote from the Sosik Lab at Woods Hole Oceanographic Institution, confirmed the inter-lab agreement of flow cytometry-derived biovolume estimates. Since the largest phytoplankton cell in the empirical relationship of Laney & Sosik (2014) had a cell diameter of 14 µm and the number of cells larger than this in our samples was negligible, only cells up to ~14 µm in diameter were included in the cell abundance and biovolume calculations. Cellular biomass was estimated according to the relationship between cellular biovolume (µm3 cell-1) and carbon content (pmol cell-1) for glutaraldehyde preserved pico- and nanophytoplankton cells from (Verity et al. 1992): C = (0.433 ⁄ 12) × biovolume^0.863.

Although Synechococcus cells could readily be counted based on their size and their characteristic PE fluorescence the high signal-to-noise ratio in the FSC-A channel of the Accuri precluded a reliable cell size estimate for particles smaller than 1 µm. Therefore, the biomass of Synechococcus was estimated using a conversion factor of 140 fg C cell-1 assuming a cell diameter of 1 µm and 270 fg C µm-3 (Bertilsson et al. 2003). The biomass of Prochlorococcus cells was calculated by using an average cellular carbon content of 53.5 fg C cell-1 (Bertilsson et al. 2003), which is very similar to the range of cellular carbon content determined by Casey et al. (2013) for Prochlorococcus in the euphotic zone.

References:

Bertilsson S, Berglund O, Karl DM, Chisholm SW (2003) Elemental composition of marine Prochlorococcus and Synechococcus: Implications for the ecological stoichiometry of the sea. Limnol Oceanogr 48:1721-1731

Casey JR, Aucan JP, Goldberg SR, Lomas MW (2013) Changes in partitioning of carbon amongst photosynthetic pico- and nano-plankton groups in the Sargasso Sea in response to changes in the North Atlantic Oscillation. Deep-Sea Research Part Ii-Topical Studies in Oceanography 93:58-70

Laney SR, Sosik HM (2014) Phytoplankton assemblage structure in and around a massive under-ice bloom in the Chukchi Sea. Deep Sea Research Part II: Topical Studies in Oceanography 105:30-4

Gasol JM, Del Giorgio PA (2000) Using flow cytometry for counting natural planktonic bacteria and understanding the structure of planktonic bacterial communities. Sci Mar 64:197-224

Marie D, Partensky F, Jacquet S, Vaulot D (1997) Enumeration and cell cycle analysis of natural populations of marine picoplankton by flow cytometry using the nucleic acid stain SYBR Green I. Appl Environ Microbiol 63:186-193

Verity PG, Robertson CY, Tronzo CR, Andrews MG, Nelson JR, Sieracki ME (1992) Relationships between cell-volume and the carbon and nitrogen-content of marine photosynthetic nanoplankton. Limnol Oceanogr 37:1434-1446

The data quality flag scheme used is that of SEADATANET, where:
no quality control = 0
good value = 1
probably good value = 2
probably bad value = 3
bad value = 4
changed value = 5
value below detection = 6
value in excess = 7
interpolated value = 8
missing value = 9
value phenomenon uncertain = A

BCO-DMO Processing:

- added conventional header with dataset name, PI name, version date
- renamed parameters to BCO-DMO standard
- replaced blank cells with nd
- replaced blanks with underscores
- formatted lat and long to 4 decimal places

This project will investigate the taxonomic, genetic and functional diversity of eukaryotic phytoplankton at two North Atlantic sites (subarctic and subtropical) in two seasons.  The PIs will use diagnostic microarrays for community analysis based on functional genes (both DNA and RNA) and next generation sequencing (i.e., transcriptomics using 454 technology) to identify the players, both in terms of community composition and activity, and to explore the functional diversity of the natural assemblage. In order to identify which groups are active in C and N assimilation and which N source is being utilized by the different size and functional groups, both filter-separated and flow cytometry-sorted samples will be used to 1) measure 13C primary production and 15N assimilation by incubations with isotope tracers, 2) measure the natural stable N isotope signatures of different taxonomic groups and 3) link the molecular diversity to the functional diversity in C and N transformations. Using flow cytometry linked to mass spectrometry, these investigators have found an unexpectedly strong differentiation in the form of N assimilated by prokaryotes and eukaryotes, with eukaryotes being more dynamic.

This project will investigate the taxonomic, genetic and functional diversity of eukaryotic phytoplankton and to link this diversity and assemblage composition to the carbon and nitrogen biogeochemistry of the surface ocean. Taxonomic diversity will be investigated by identifying the components of the phytoplankton assemblages using molecular, chemical and microscope methods. Genetic diversity will be explored at several levels, including direct sequencing of clone libraries of key functional genes and metatranscriptomic sequencing and microarray analysis of size fractionated/sorted phytoplankton assemblages. Using natural abundance and tracer stable isotope methods, genetic and taxonomic diversity will be linked to functional diversity in C and N assimilation in size- fractionated and taxon-sorted populations.

(adapted from the NSF Synopsis of Program)
Dimensions of Biodiversity is a program solicitation from the NSF Directorate for Biological Sciences. FY 2010 was year one of the program.  [MORE from NSF]

The NSF Dimensions of Biodiversity program seeks to characterize biodiversity on Earth by using integrative, innovative approaches to fill rapidly the most substantial gaps in our understanding. The program will take a broad view of biodiversity, and in its initial phase will focus on the integration of genetic, taxonomic, and functional dimensions of biodiversity. Project investigators are encouraged to integrate these three dimensions to understand the interactions and feedbacks among them. While this focus complements several core NSF programs, it differs by requiring that multiple dimensions of biodiversity be addressed simultaneously, to understand the roles of biodiversity in critical ecological and evolutionary processes.