Grazing experiments 5: Daily cell count data for low-high pCO2 acclimated Rhodomonas sp. (E Hux Response to pCO2 project)

Website: https://www.bco-dmo.org/dataset/669572
Data Type: experimental
Version:
Version Date: 2016-12-09

Project
» Planktonic interactions in a changing ocean: Biological responses of Emiliania huxleyi to elevated pCO2 and their effects on microzooplankton (E Hux Response to pCO2)
ContributorsAffiliationRole
Olson, Brady M.Western Washington University (WWU)Principal Investigator
Love, BrookeWestern Washington University (WWU)Co-Principal Investigator
Strom, SuzanneWestern Washington University (WWU)Co-Principal Investigator
Still, Kelly AnnWestern Washington University (WWU)Student
Copley, NancyWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager


Dataset Description

Related Reference:
Still, Kelly Ann, Microzooplankton grazing, growth and gross growth efficiency are affected by pCO2 induced changes in phytoplankton biology. (Masters Thesis) Western Washington University. http://cedar.wwu.edu/cgi/viewcontent.cgi?article=1490&context=wwuet


Acquisition Description

The phytoplankton Rhodomonas sp. CCMP 755 was grown semi-continuously in atmosphere controlled chambers at three different CO2 treatment concentrations; Ambient (400ppmv), Moderate (750ppmv), and High (1000ppmv). Cultures were started and allowed to grow four days to reach a density of approximately 50,000 cells per ml. Cultures were then diluted daily with pre-equilibrated media containing f/50 nutrients. Each morning of dilution the cultures were gently mixed prior to a small sample being taken for cell counts. Cells were counted live on a Z2 Coulter Particle Counter. The dilution volume was then calculated to achieve a cell density of approximately 25,000 cells per ml which was the density determined in preliminary experiments to be adequate to maintain pCO2 near target concentrations.


Processing Description

These data are unprocessed cell counts.

BCO-DMO Processing Notes:
- added conventional header with dataset name, PI name, version date
- modified parameter names to conform with BCO-DMO naming conventions


[ table of contents | back to top ]

Parameters

ParameterDescriptionUnits
treatment_replicatesample identifier: individual grazer analyzed unitless
target_density_day_1Target count for day 1 morning cell count cells/milliliter
count_day_2Count for day 2 morning cell count cells/milliliter
day_2_post_dilutionCount for day 2 post-dilution; for the predicted cell count after dilution cells/milliliter
count_day_3Count for day 3 morning cell count cells/milliliter
day_3_post_dilutionCount for day 3 post-dilution; for the predicted cell count after dilution cells/milliliter
count_day_4Count for day 4 morning cell count cells/milliliter
day_4_post_dilutionCount for day 4 post-dilution; for the predicted cell count after dilution cells/milliliter
count_day_5Count for day 5 morning cell count cells/milliliter
day_5_post_dilutionCount for day 5 post-dilution; for the predicted cell count after dilution cells/milliliter
count_day_6Count for day 6 morning cell count cells/milliliter
day_6_post_dilutionCount for day 6 post-dilution; for the predicted cell count after dilution cells/milliliter
count_day_7Count for day 7 morning cell count cells/milliliter
day_7_post_dilutionCount for day 7 post-dilution; for the predicted cell count after dilution cells/milliliter
count_day_8Count for day 8 morning cell count cells/milliliter
day_8_post_dilutionCount for day 8 post-dilution; for the predicted cell count after dilution cells/milliliter
count_day_9Count for day 9 morning cell count cells/milliliter
day_9_post_dilutionCount for day 9 post-dilution; for the predicted cell count after dilution cells/milliliter
count_day_10Count for day 10 morning cell count cells/milliliter
day_10_post_dilutionCount for day 10 post-dilution; for the predicted cell count after dilution cells/milliliter
count_day_11Count for day 11 morning cell count cells/milliliter
day_11_post_dilutionCount for day 11 post-dilution; for the predicted cell count after dilution cells/milliliter
count_day_12Count for day 12 morning cell count cells/milliliter
day_12_post_dilutionCount for day 12 post-dilution; for the predicted cell count after dilution cells/milliliter
count_day_13Count for day 13 morning cell count cells/milliliter
day_13_post_dilutionCount for day 13 post-dilution; for the predicted cell count after dilution cells/milliliter
count_day_14Count for day 14 morning cell count cells/milliliter
day_14_post_dilutionCount for day 14 post-dilution; for the predicted cell count after dilution cells/milliliter
count_day_15Count for day 15 morning cell count cells/milliliter
day_15_post_dilutionCount for day 15 post-dilution; for the predicted cell count after dilution cells/milliliter
count_day_16Count for day 16 morning cell count cells/milliliter
day_16_post_dilutionCount for day 16 post-dilution; for the predicted cell count after dilution cells/milliliter
count_day_17Count for day 17 morning cell count cells/milliliter


[ table of contents | back to top ]

Instruments

Dataset-specific Instrument Name
Z2 Coulter Particle Counter
Generic Instrument Name
Coulter Counter
Dataset-specific Description
Used to count cells
Generic Instrument Description
An apparatus for counting and sizing particles suspended in electrolytes. It is used for cells, bacteria, prokaryotic cells and virus particles. A typical Coulter counter has one or more microchannels that separate two chambers containing electrolyte solutions. from https://en.wikipedia.org/wiki/Coulter_counter


[ table of contents | back to top ]

Deployments

Lab_Olson_B

Website
Platform
WWU
Start Date
2011-03-31
End Date
2016-09-15
Description
laboratory experiments


[ table of contents | back to top ]

Project Information

Planktonic interactions in a changing ocean: Biological responses of Emiliania huxleyi to elevated pCO2 and their effects on microzooplankton (E Hux Response to pCO2)


Description from NSF award abstract:
The calcifying Haptophyte Emiliania huxleyi appears to be acutely sensitive to the rising concentration of ocean pCO2. Documented responses by E. huxleyi to elevated pCO2 include modifications to their calcification rate and cell size, malformation of coccoliths, elevated growth rates, increased organic carbon production, lowering of PIC:POC ratios, and elevated production of the active climate gas DMS. Changes in these parameters are mechanisms known to elicit alterations in grazing behavior by microzooplankton, the oceans dominant grazer functional group. The investigators hypothesize that modifications to the physiology and biochemistry of calcifying and non-calcifying Haptophyte Emiliania huxleyi in response to elevated pCO2 will precipitate alterations in microzooplankton grazing dynamics. To test this hypothesis, they will conduct controlled laboratory experiments where several strains of E. huxleyi are grown at several CO2 concentrations. After careful characterization of the biochemical and physiological responses of the E. huxleyi strains to elevated pCO2, they will provide these strains as food to several ecologically-important microzooplankton and document grazing dynamics. E. huxleyi is an ideal organism for the study of phytoplankton and microzooplankton responses to rising anthropogenic CO2, the effects of which in the marine environment are called ocean acidification; E. huxleyi is biogeochemically important, is well studied, numerous strains are in culture that exhibit variation in the parameters described above, and they are readily fed upon by ecologically important microzooplankton.

The implications of changes in microzooplankton grazing for carbon cycling, specifically CaCO3 export, DMS production, nutrient regeneration in surface waters, and carbon transfer between trophic levels are profound, as this grazing, to a large degree, regulates all these processes. E. huxleyi is a model prey organism because it is one of the most biogeochemically influential global phytoplankton. It forms massive seasonal blooms, contributes significantly to marine inorganic and organic carbon cycles, is a large producer of the climatically active gas DMS, and is a source of organic matter for trophic levels both above and below itself. The planned controlled study will increase our knowledge of the mechanisms that drive patterns of change between trophic levels, thus providing a wider array of tools necessary to understand the complex nature of ocean acidification field studies, where competing variables can confound precise interpretation.



[ table of contents | back to top ]

Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

[ table of contents | back to top ]