Contributors | Affiliation | Role |
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Thamatrakoln, Kimberlee | Rutgers University (Rutgers IMCS) | Principal Investigator, Contact |
Brzezinski, Mark A. | University of California-Santa Barbara (UCSB-LifeSci) | Co-Principal Investigator |
Gorbunov, Maxim | Rutgers University | Scientist |
Kuzminov, Fedor | Rutgers University | Scientist |
Ake, Hannah | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Quantum yield of photosynthesis (Fv/Fm) and lifetime fluorescence data from the MV1405 cruise (IrnBru).
[Lifetime fluorescence spectroscopy investigates the change in fluorescence over time of a sample when irradiated with UV, visible, or near-IR light. This decay in fluorescence can be measured over a wide time range: from picoseconds to milliseconds and beyond. - DMO] The average lifetime of these data are found in the TAV column.
A custom-built Fast Repetition Rate Fluorometer and Lifetime Fluorometer measured surface water continuously using the ship's underway water system. Background fluorescence was measured daily using 0.2 um filtered seawater and manually subtracted from sample data.
For a complete description of data processing see Kuzminov and Gorbunov (2015)
BCO-DMO Processing Notes:
-filled in all blank cells with nd according to description in metadata
-changed column names to meet BCO-DMO naming standards
-removed header from file because repeated at toplevel
-separated the dateTime GMT column into two columns, date_gmt and time_gmt
-added a cruise_id and ISO_DateTime_UTC column
File |
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FvFm_lifetime.csv (Comma Separated Values (.csv), 1.72 MB) MD5:b875ad8786155b3d6651cba47b0d5900 Primary data file for dataset ID 652298 |
Parameter | Description | Units |
cruise_id | cruise identification | unitless |
date_gmt | GMT date; mm/dd/yy | unitless |
time_gmt | GMT time; HH:MM | unitless |
lat | latitude | decimal degrees |
lon | longitude | decimal degrees |
corr_Fluor_min | minimal fluorescence yield corrected for background fluorescence by subtracting respective value measured in 0.2 micrometers filtered seawater from sample data | relative units |
corr_Fluor_max | maximal fluorescence yield corrected for background fluorescence by subtracting respective value measured in 0.2 micrometers filtered seawater from sample data | relative units |
corr_FvFm | maximum photosynthetic efficiency of photosystem II (quantum yield of photochemistry) | dimensionless |
functional_absorbtion | sigma; functional absorption cross-section of photosystem II (PSII) | unitless |
NPQ | non-photochemical quenching | dimensionless |
TAV | average lifetime of fluorescence | picosecond |
ISO_DateTime_UTC | DateTime (UTC) ISO formatted | unitless |
amp1 | amplitude 1 of the different components of the deconvolution of the fluorescence lifetime kinetics | dimensionless |
amp2 | amplitude 2 of the different components of the deconvolution of the fluorescence lifetime kinetics | dimensionless |
amp3 | amplitude 3 of the different components of the deconvolution of the fluorescence lifetime kinetics | dimensionless |
time1 | time 1 of the different components of the fluorescence lifetime kinetics | picosecond |
time2 | time 2 of the different components of the fluorescence lifetime kinetics | picosecond |
time3 | time 3 of the different components of the fluorescence lifetime kinetics | picosecond |
Dataset-specific Instrument Name | Fast Repetition Rate Fluorometer |
Generic Instrument Name | Fast Repetition Rate Fluorometer |
Dataset-specific Description | A custom-built Fast Repetition Rate Fluorometer continuously measured surface water using the ships underway water system. |
Generic Instrument Description | An FRRf is used for measuring the fluorescence of a sample of phytoplankton photosynthetic competency (Fv/Fm). |
Dataset-specific Instrument Name | Lifetime Fluorometer |
Generic Instrument Name | Lifetime Fluorometer |
Dataset-specific Description | A custom-built Lifetime Fluorometer continuously measured surface water using the ships underway water system. |
Generic Instrument Description | A Lifetime Fluorometer is used to measure picosecond fluorescence decay kinetics in phytoplankton. |
Website | |
Platform | R/V Melville |
Start Date | 2014-07-03 |
End Date | 2014-07-26 |
Description | Deployment MV1405 on R/V Melville. Cruise took place during July 2014. |
Description from NSF award abstract:
Diatoms, unicellular, eukaryotic photoautotrophs, are among the most ecologically successful and functionally diverse organisms in the ocean. In addition to contributing one-fifth of total global primary productivity, diatoms are also the largest group of silicifying organisms in the ocean. Thus, diatoms form a critical link between the carbon and silicon (Si) cycles. The goal of this project is to understand the molecular regulation of silicification processes in natural diatom populations to better understand the processes controlling diatom productivity in the sea. Through culture studies and two research cruises, this research will couple classical measurements of silicon uptake and silica production with molecular and biochemical analyses of Silicification-Related Gene (SiRG) and protein expression. The proposed cruise track off the West Coast of the US will target gradients in Si and iron (Fe) concentrations with the following goals: 1) Characterize the expression pattern of SiRGs, 2) Correlate SiRG expression patterns to Si concentrations, silicon uptake kinetics, and silica production rates, 3) Develop a method to normalize uptake kinetics and silica production to SiRG expression levels as a more accurate measure of diatom activity and growth, 4) Characterize the diel periodicity of silica production and SiRG expression.
It is estimated that diatoms process 240 Teramoles of biogenic silica each year and that each molecule of silicon is cycled through a diatom 39 times before being exported to the deep ocean. Decades of oceanographic and field research have provided detailed insight into the dynamics of silicon uptake and silica production in natural populations, but a molecular understanding of the factors that influence silicification processes is required for further understanding the regulation of silicon and carbon fluxes in the ocean. Characterizing the genetic potential for silicification will provide new information on the factors that regulate the distribution of diatoms and influence in situ rates of silicon uptake and silica production. This research is expected to provide significant information about the molecular regulation of silicification in natural populations and the physiological basis of Si limitation in the sea.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) | |
NSF Division of Ocean Sciences (NSF OCE) |