|Krause, Jeffrey W.||Dauphin Island Sea Lab (DISL)||Principal Investigator, Contact|
|Brzezinski, Mark A.||University of California-Santa Barbara (UCSB)||Co-Principal Investigator|
|York, Amber D.||Woods Hole Oceanographic Institution (WHOI BCO-DMO)||BCO-DMO Data Manager|
This dataset contains Synechococcus cyanobacteria silica quotas from cultures grown over several generations in Sargasso Sea water with various mole ratios of Si:P. Experiments took place at the Krause Lab at Dauphin Island Sea Laboratory (30.2501,-88.0788) between June to August 2015.
These results are also presented in the following paper:
Brzezinski, M. A., Krause, J. W., Baines, S. B., Collier, J. L., Ohnemus, D. C. and Twining, B. S. (2017), Patterns and regulation of silicon accumulation in Synechococcus spp.. J. Phycol., 53: 746–761. doi:10.1111/jpy.12545
Culturing of Synechococcus clones:
Monocultures of four Synechococcus clones (1333, 1334, 2515, 2370) were used to examine variation and controls on Si quotas and rates of Si accumulation. Cultures were procured from the National Center for Marine Algae and Microbiota (NCMA) at the Bigelow Laboratory for Ocean Sciences in Boothbay Harbor, Maine. Many of these clones are also available in other culture collections and have various strain names; here we will refer to each by their NCMA strain number (a.k.a. CCMP number).
All clones were maintained in aged surface Sargasso Sea water with f/2 media constituents. The temperature was 21C with low light 65 microeinsteins per second per square meter (uE/m2/s) on a 12 h light:12 h dark photocycle. pH was regulated in all cultures by bubbling with humidified ambient air which was sterilized by passage through a bacterial filter prior to entering each culture vessel. Unless otherwise specified, all experiments were conducted under these temperature and light conditions. pH was monitored daily and remained below 8.5 in all experiments.
Cultures were kept over several generations in media with different Si:P mole ratios. Silicic acid concentration was held constant at 100 uM with three treatments representing Si:P ratios of 1, 5, and 10 created by varying phosphate concentration. Soluble reactive phosphate was measured daily (Strickland and Parsons, 1972). When declines in P concentration were observed cultures were supplemented with additional P to maintain targeted Si:P ratios. Cells were harvested and processed as for total cellular silicon. Cellular quotas of biogenic silica were determined using NaOH–HF digestion in Teflon tubes as described in Krause et al. (2013)
Full details of culturing and experimental methods are described in Brzezinski et al. (in review as of 05 Jan 2017).
Cellular quotas of biogenic silica were determined using NaOH–HF digestion in Teflon tubes as described in Krause et al. (2013).
BCO-DMO Data Manager Processing Notes:
* added a conventional header with dataset name, PI name, version date
* modified parameter names to conform with BCO-DMO naming conventions
* blank values replaced with no data value 'nd'
* latitude and longitude of Dauphin Island Sea Lab added to dataset
* Si quota values limited to three decimal places
|clone_id||Synechococcus clone identifier (NCMA strain and CCMP number)||unitless|
|clone_lat||Latitude of the clone collection site||decimal degrees|
|clone_lon||Longitude of the clone collection site||decimal degrees|
|Si_quota||Biogenic silica quota||attomole per cell (amole/cell)|
|mole_ratio||Treatment Si:P mole ratio||dimensionless|
|Start Date|| |
|End Date|| |
Laboratory experiments conducted at Dauphin Island sea lab. Clone collection locations included in deployment coordinates.
Extracted from the NSF award abstract:
INTELECTUAL MERIT: The investigators will follow-up on their discovery of significant accumulation of silicon by marine picocyanobacteria of the genus Synechococcus to assess the contribution of these organisms to the cycling of biogenic silica in the ocean. Oceanographers have long assumed that diatoms are the dominant marine organisms controlling the cycling of silica in the ocean. Recently, however, single-cell analyses of picocyanobacterial cells from field samples surprisingly revealed the presence of substantial amounts of silicon within Synechococcus. The contribution of Synechococcus to biogenic silica often rivaled that of living diatoms in the two systems examined. Moreover, size fractionation of biogenic silica indicates that up to 25% of biogenic silica can exist in the picoplanktonic size fraction. Given that picocyanobacteria dominate phytoplankton biomass and primary production over much of the world's ocean, these findings raise significant questions about the factors controlling the marine silica cycle globally, as well as the proper interpretation of biogenic silica measurements, Si:N ratios in particulate matter, and ratios of silicate and nitrate depletion. It also suggests that picocyanobacterial populations may be subject to previously unknown constraints on their productivity.
The project will have both laboratory and field components. Because cellular Si varies substantially among the field-collected samples and laboratory strains so far analyzed, the laboratory component will document variability in Si uptake and cellular Si concentrations, while determining what role physiological and phylogenetic factors play in this variability. The investigators will use strains of Synechococcus for which there are already genome sequences. Laboratory experiments will 1) use 32Si radiotracer uptake experiments to assess the degree of variability in Si content and Si uptake kinetics among strains of Synechococcus acclimated to different levels of silicate, 2) characterize the intracellular distribution and chemistry of silicon within cells using fractionation techniques, density centrifugation, electron microscopy and x-ray absorption spectroscopy, and 3) use bioinformatic analyses of published genomes to determine whether uptake of Si can be predicted based on phylogenetic relationships, to identify candidate genes involved in cyanobacterial Si metabolism, and to develop probes for community structure that can be related to cellular Si content. Field work at the Bermuda Atlantic Time Series (BATS) site will assess the contribution of Synechococcus and diatoms to total biogenic silica in surface waters at times of the year when the former are typically dominant. Field measurements will include size fractionation of biogenic silica biomass and Si uptake, and synchrotron-based x-ray fluorescence microscopy, and the phylogenetic composition of the Synechococcus assemblage.
BROADER IMPACTS: This project has the potential to drive a major paradigm shift in our understanding of the marine silicon cycle. In addition, one PhD student will be trained at Stony Brook. Each PI will provide research experience to a number of undergraduates working on original research projects for credit, as a part of an REU program or as the basis for undergraduate theses. Stony Brook research programs for undergraduates are supported with summer research money from the Undergraduate Research and Creative Activities (URECA) program, and draw on its very diverse student body. The investigators will also engage promising high school level students through several residential programs that the PIs have been a part of in the past. These include the BLOOM program at Bigelow and the Simons Summer Research Fellowship Program at Stony Brook. The PI has continuing relationship with a regional high school (Brentwood) with a high proportion of underrepresented minorities. PI Twining is involved in the Café Scientifique program at Bigelow. Baines will engage in similar outreach through the Center for Science and Mathematics Education (CESAME) sponsored Open Science Nights. Finally, PI Baines will cooperate with CESAMEs teacher education programs, with the aim of incorporating biological oceanography into K-12 curricula. PIs Krause and Brzezinski will incorporate aspects of phytoplankton ecology into UCSB's Oceans to Classroom Program that brings marine research at UCSB to life for over 18,000 K-12 students each year.
This document is created by info v 4.1f 5 Oct 2018 from the content of the BCO-DMO metadata database. 2022-06-30 22:20:18