Taxonomy and abundance of microbial cells (phytoplankon and heterotrophic bacteria) during a deployment of the Environmental Sample Processor (ESP) in Fall, 2014 in Monterey Bay, CA

Website: https://www.bco-dmo.org/dataset/662653
Data Type: Other Field Results
Version:
Version Date: 2016-10-25

Project
» Bacterial Taxa that Control Sulfur Flux from the Ocean to the Atmosphere (OceanSulfurFluxBact)

Program
» Dimensions of Biodiversity (Dimensions of Biodiversity)
ContributorsAffiliationRole
Moran, Mary AnnUniversity of Georgia (UGA)Principal Investigator
Birch, James M.Monterey Bay Aquarium Research Institute (MBARI)Co-Principal Investigator
Nowinski, BrentUniversity of Georgia (UGA)Contact
Copley, NancyWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager


Methods & Sampling

Dilutions to the sample due to preservative, dyes and run volume:
PFA = 0.95
Hoechst = 0.98
Run Volume = 0.10
Correction Factor = 0.82

For methodology details, see:
Varaljay, V., et al. Single-taxon field measurements of bacterial gene regulation controlling DMSP fate. The ISME Journal (2015), 1-10. doi:10.1038/ismej.2015.23


Data Processing Description

BCO-DMO Processing notes:
- added conventional header with dataset name, PI name, version date
- modified parameter names to conform with BCO-DMO naming conventions
- re-formatted date from m/d/yyyy to yyyy-mm-dd
- added lat and lon of ESP mooring for mapping purposes


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Data Files

File
cell_counts.csv
(Comma Separated Values (.csv), 4.37 KB)
MD5:1556087b8cbd057ef324394116e499e8
Primary data file for dataset ID 662653

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Parameters

ParameterDescriptionUnits
listmode_idsample identification unitless
datesampling date year-month=day
latlatitude; north is positive decimal degrees
lonlongitude; east is positive decimal degrees
Tthe sample day (0 is the first sample collection day, up to the 13th collection day days
Numreplicate unitless
syn_mlSynechococcus abundance cells/milliliter
peuk_mlphotosynthetic eukaryotes abundance (distinguished based on Chlorophyll and Scatter signatures) cells/milliliter
HiPE_phyto_mLabundance of cells with very high Phycoerythrin and very high Chlorophyll content cells/milliliter
Hbact_mLabundance of non-pigmented bacteria (distinguished based on DNA content (Hoechst stain) and scatter signatures) cells/milliliter
Syn_numSynechococcus cell count cells
Peuk_numphotosynthetic eukaryote cell count cells
HiPE_Phyto_numhigh Phycoerythrin and Chlorophyll content cell count cells
HBact_numnon-pigmented bacteria cell count cells
Pro_Mean_FSProchlorococcus mean forward scatter from flow cytometer unitless
Pro_Mean_SSProchlorococcus mean side scatter from flow cytometer unitless
Pro_Mean_ChlProchlorococcus chlorophyll mean content from flow cytometer unitless
Pro_Mean_DNAProchlorococcus mean DNA content from flow cytometer unitless
Syn_Mean_FSSynechococcus mean forward scatter from flow cytometer unitless
Syn_Mean_SSSynechococcus mean side scatter from flow cytometer unitless
Syn_Mean_ChlSynechococcus chlorophyll mean content from flow cytometer unitless
Syn_Mean_DNASynechococcus mean DNA content from flow cytometer unitless
Peuk_Mean_FSphotosynthetic eukaryote mean forward scatter from flow cytometer unitless
Peuk_Mean_SSphotosynthetic eukaryote mean side scatter from flow cytometer unitless
Peuk_Mean_Chlphotosynthetic eukaryote chlorophyll mean content from flow cytometer unitless
Peuk_Mean_DNAphotosynthetic eukaryote mean DNA content from flow cytometer unitless
HiPE_Phyto_Mean_FShigh Phycoerythrin and Chlorophyll cell mean forward scatter from flow cytometer unitless
HiPE_Phyto_Mean_SShigh Phycoerythrin and Chlorophyll cell mean side scatter from flow cytometer unitless
HiPE_Phyto_Mean_Chlhigh Phycoerythrin and Chlorophyll cell chlorophyll mean content from flow cytometer unitless
HiPE_Phyto_Mean_DNAhigh Phycoerythrin and Chlorophyll cell mean DNA content from flow cytometer unitless
HBact_Mean_FSnon-pigmented bacteria mean forward scatter from flow cytometer unitless
HBact_Mean_SSnon-pigmented bacteria mean side scatter from flow cytometer unitless
HBact_Mean_DNAnon-pigmented bacteria mean DNA content from flow cytometer unitless


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Instruments

Dataset-specific Instrument Name
Beckman Coulter Altra flow
Generic Instrument Name
Flow Cytometer
Dataset-specific Description
Simultaneously detects Hoechst stain (DNA), cell pigments, and forward and side (90 degrees) scatter.
Generic Instrument Description
Flow cytometers (FC or FCM) are automated instruments that quantitate properties of single cells, one cell at a time. They can measure cell size, cell granularity, the amounts of cell components such as total DNA, newly synthesized DNA, gene expression as the amount messenger RNA for a particular gene, amounts of specific surface receptors, amounts of intracellular proteins, or transient signalling events in living cells. (from: http://www.bio.umass.edu/micro/immunology/facs542/facswhat.htm)


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Deployments

Moran_Monterey_2014

Website
Platform
Univ_Georgia
Start Date
2014-09-08
End Date
2014-09-08
Description
Microbial collections and environmental data collected by moored ESP and CTD.


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Project Information

Bacterial Taxa that Control Sulfur Flux from the Ocean to the Atmosphere (OceanSulfurFluxBact)


Surface ocean bacterioplankton preside over a divergence point in the marine sulfur cycle where the fate of dimethylsulfoniopropionate (DMSP) is determined. While it is well recognized that this juncture influences the fate of sulfur in the ocean and atmosphere, its regulation by bacterioplankton is not yet understood. Based on recent findings in biogeochemistry, bacterial physiology, bacterial genetics, and ocean instrumentation, the microbial oceanography community is poised to make major advances in knowledge of this control point. This research project is ascertaining how the major taxa of bacterial DMSP degraders in seawater regulate DMSP transformations, and addresses the implications of bacterial functional, genetic, and taxonomic diversity for global sulfur cycling.

The project is founded on the globally important function of bacterial transformation of the ubiquitous organic sulfur compound DMSP in ocean surface waters. Recent genetic discoveries have identified key genes in the two major DMSP degradation pathways, and the stage is now set to identify the factors that regulate gene expression to favor one or the other pathway during DMSP processing. The taxonomy of the bacteria mediating DMSP cycling has been deduced from genomic and metagenomic sequencing surveys to include four major groups of surface ocean bacterioplankton. How regulation of DMSP degradation differs among these groups and maps to phylogeny in co-occurring members is key information for understanding the marine sulfur cycle and predicting its function in a changing ocean. Using model organism studies, microcosm experiments (at Dauphin Island Sea Lab, AL), and time-series field studies with an autonomous sample collection instrument (at Monterey Bay, CA), this project is taking a taxon-specific approach to decipher the regulation of bacterial DMSP degradation.

This research addresses fundamental questions of how the diversity of microbial life influences the geochemical environment of the oceans and atmosphere, linking the genetic basis of metabolic potential to taxonomic diversity. The project is training graduate students and post-doctoral scholars in microbial biodiversity and providing research opportunities and mentoring for undergraduate students. An outreach program is enhance understanding of the role and diversity of marine microorganisms in global elemental cycles among high school students. Advanced Placement Biology students are participating in marine microbial research that covers key learning goals in the AP Biology curriculum. Two high school students are selected each year for summer research internships in PI laboratories.



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Program Information

Dimensions of Biodiversity (Dimensions of Biodiversity)


Coverage: global


(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.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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