| Contributors | Affiliation | Role |
|---|---|---|
| Biller, Steven | Wellesley College | Principal Investigator |
| Morris, James Jeffrey | University of Alabama at Birmingham (UA/Birmingham) | Co-Principal Investigator, Contact |
| Lu, Zhiying | University of Alabama at Birmingham (UA/Birmingham) | Scientist |
| Soenen, Karen | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Supplemental files allow the replication of our flow cytometry analysis of labeled exudates associating with Prochlorococcus cells.
The "workspace.xml" file as well as all of the .fcs files should be opened in floreada.io online to replicate our analysis of the raw data. Output from floreada was stored in the FlowStats.csv file and is the primary data file in this dataset.
Additionally, we conducted an experiment comparing fluorometer readings to flow cytometry counts to confirm that the correlation between the two was reliably linear under the conditions of our experiments; these data are in the file FluorFCMCorr.csv.
Finally, the file FlowAnalysis.R contains R code used to analyze both of these files and produce figures.
Strains and culture conditions:
All strains used in this study were taken from those used for a Long-Term Phytoplankton Evolution (LTPE) experiment (1). Prochlorococcus strains were streptomycin-resistant derivates of the high light-adapted strain MIT9312 obtained as described previously (2, 3), either before (Ancestor) or after 500 generations of evolution at either 400 ppm or 800 ppm pCO2 conditions (i.e., modern day or projected year 2100 conditions (4)). Alteromonas strains were derivatives of strain EZ55, originally isolated from a Prochlorococcus MIT9215 culture (3). As with our Prochlorococcus strains, we used both ancestral and evolved varieties of EZ55 co-evolved with Prochlorococcus at the two pCO2 treatments and subsequently isolated. Prochlorococcus cultures were revived from cultures cryopreserved with 7.5% DMSO in liquid nitrogen vapor, and Alteromonas cultures were revived from cultures preserved with 20% glycerol stored at -80o C. Prior to use in experiments, all Prochlorococcus cultures were grown in co-culture with Alteromonas EZ55 helpers (3) and were acclimated to culture conditions for at least 4 generations prior to data collection.
Alteromonas cultures were grown in YTSS medium (5) and Prochlorococcus cultures were grown in Pro99 medium (6) or PEv medium (1), both made in an artificial seawater base (ASW) (1). Prior to addition to co-cultures Alteromonas strains were pelleted at 2000 g for 2 minutes and washed twice in sterile ASW, then added to cultures at approximately 106 cells ml-1. Alteromonas was grown at 30o C with 120 rpm shaking. Unless otherwise noted, Prochlorococcus and co-cultures were grown in static 13 mL conical bottom acid-washed glass tubes under approximately 75 mmol photons m-2 s-1 cool white light in a Percival incubator set to 23o C. When medium additions were employed, all solutions were filter sterilized with a 0.2 mm filter. Cell densities of Prochlorococcus cultures to standardize inoculations between experiments were determined using a Guava HT1 flow cytometer (Luminex Corporation, Austin, TX) by the distinctive signature of these cells on plots of forward light scatter vs. red fluorescence (Fig. S1A). Day-to-day culture growth was tracked using the in vivo chlorophyll a module for the Trilogy fluorometer (Turner Designs, San Jose, CA) with a custom 3D-printed adapter designed for conical bottom tubes. Fluorometer measurements and cell counts were linearly related across the range of cells examined in this study (Pearson correlation coefficient 0.835, p = 1.38 x 10-6, Fig. S1B).
Concentration of Alteromonas exudates:
EZ55 was grown in Pro99 media supplemented with 0.1% glucose to sustain growth in the absence of Prochlorococcus exudates. We scaled cultures up progressively from 12 mL to 2 L. The 2L culture was grown in a vented bottle with an outlet connected to a filter with 0.22 μm pore size. After removing most of the cells by centrifugation, we produced size-fractionated, concentrated exudates using tangential flow filtration using Sartorius Vivaflow 200 cassettes. The 2L culture supernatant was passed first through a 0.22 μm cassette using a Masterflex L/S peristaltic pump (Cole-Parmer) to remove bacterial cells, then through a 50 kDa module and a 5 kDa module in succession to produce >50 kDa and <50 kDa fractions that were each concentrated approximately 100-fold. A portion of the >50 kDa fraction was placed in boiling water for 5 minutes to denature proteins. When these concentrated extracellular products were added to culture media for growth experiments they were diluted 100-fold, returning them to approximately their original concentration prior to filtration.
Exudate interaction with Prochlorococcus: In order to visualize interactions between exudates and Prochlorococcus cells, we covalently labelled the >50 kDa concentrates with an amine-reactive Alexa Fluor 488 5-SDP ester dye (Molecular Probes/ThermoScientific) (7). First, 100 μL of each sample was concentrated with 100 kDa centrifugal ultrafilters (Pall) at 14,000 rpm for 15 minutes and then resuspended with 0.1 M sodium bicarbonate buffer (pH 8.3). Then, 2.5 μL of Alexa Fluor 488 5-SDP ester dye was added and incubated for 1 hour in the dark at room temperature with gentle mixing. The mixture was washed by centrifugation at 14,000 rpm for 15 minutes, removal of the supernatant, and resuspending with 1x PBS three times, with a final resuspension in 100 μL ASW. The labeled and washed exudate was added to 100 μL axenic Prochlorococcus culture and incubated for 2h at 28 ℃ with 120 rpm orbital shaking. Control samples were prepared with Prochlorococcus cells only or with Prochlorococcus stained with Alexa Fluor 488 5-SDP ester dye but without added exudate concentrate. Cells were analyzed with a Guava HT1 flow cytometer tracking cells by size (forward scatter), chlorophyll (red) fluorescence, and dye (green) fluorescence. Flow cytometry data was visualized using the online Floreada platform ( see https://floreada.io). Cells were also examined by using a Nikon 80i epifluorescence compound microscope using the GFP and Texas Red filter cubes. Images were collected and processed using Nikon NIS-Elements imaging software.
All statistical analyses were performed in R v. 4.4.1. Most analyses used linear models followed by post hoc extended marginal means testing of pairwise differences between treatment groups using the emmeans package (Searle et al., 1980). Assumptions of linear regression were checked for models by Shapiro-Wilk tests of the normality of residuals and plots of residuals vs. fitted values for homoscedasticity; where these assumptions were violated we used the Box-Cox procedure to find an optimal power transformation (Sokal & Rohlf, 2012). Statistical differences between lysate and exudate protein localization counts were determined using Fisher’s exact test implemented in R.
* Added descriptions from readme to files directly.
* Processed FlowStats.csv as primary file.
| File |
|---|
994735_v1_flowcytometry.csv (Comma Separated Values (.csv), 1.55 KB) MD5:059d160dc44197c0d88083e5e769c08a Primary data file for dataset ID 994735, version 1 |
| File |
|---|
Flow_Cytometry_Raw_Date_And_Config_File filename: Flow_Cytometry_Raw_Date_And_Config_File.zip (ZIP Archive (ZIP), 2.51 MB) MD5:8de116afbadf990d0011effdc580c3b5 Raw Flow Cytometry files and workspace.xml file as to be opened in floreada.io in order to replicate analysis of the raw data. |
FlowAnalysis.R (R Script, 5.68 KB) MD5:24ff20ea6fcfc2e237a516c999f4a083 Contains R code used to analyze both FlowStats.csv and FluorFCMCorr.csv and produce figures |
FlowStats.csv (Comma Separated Values (.csv), 1.56 KB) MD5:19782083962907d9c9a84f885641ea72 Raw fluorometry analysis output file (output from floreada.io). Column Headings* File: which of the .fcs files in this subdirectory was analyzed* Treatment: Control, unlabeled Prochlorococcus; Dye, Prochlorococcus treated with fluorescent dye; Vesicle, Alteromonas vesicles stained with dye, washed, then added to Prochlorococcus cells* FSC_Mean, FSC_Median, FSC_CV: Mean and median forward scatter (i.e., size) values and the coefficient of variation (CV) for those values* Green_Mean, Green_Median, Green_CV: Mean and median green fluorescence (i.e., amine-reactive dye) values and the coefficient of variation (CV) for those values* Red_Mean, Red_Median, Red_CV: Mean and median red fluorescence (i.e., Prochlorococcus chlorophyll) values and the coefficient of variation (CV) for those values |
FluorFCMCorr.csv (Comma Separated Values (.csv), 746 bytes) MD5:8870bc8e1529368dc5481fa2cadb96d7 Output comparison of fluorometer readings to flow cytometry counts to confirm that the correlation between the two was reliably linear under the conditions of our experimentsColumn headings:* Strain: The Prochlorococcus/Alteromonas co-culture used to produce the data. LTPE26 was an ancestral culture and LTPE401 was a culture after 500 generations of evolution at 400 ppm pCO2.* Replicate: There were four replicate cultures observed.* Date: Date the data were collected; all data were from a single batch culture run from early log phase to early stationary phase.* Fluor: In vivo chlorophyll fluorescence value (arbitrary units) collected using a Turner Designs Trilogy fluorometer.* FCM: Cell counts collected by flow cytometry. |
README.flow.txt (Plain Text, 2.15 KB) MD5:61fe5e1b79450c2d70e1db2cc9c88750 READ ME for "Enzymatically active exudates from Alteromonas facilitate Prochlorococcus survival in stationary phase" flow cytometry analysis files |
| Parameter | Description | Units |
| File | Which of the .fcs files in this subdirectory was analyzed. | unitless |
| Treatment | Control, unlabeled Prochlorococcus; Dye, Prochlorococcus treated with fluorescent dye; Vesicle, Alteromonas vesicles stained with dye, washed, then added to Prochlorococcus cells. | unitless |
| Analyzed_Events | Amount of events analyszed. | unitless |
| Fixed | Wheter or not sample was fixed. | unitless |
| Stained | Wheter or not sample was stained. | unitless |
| Dilution | Dilution factor of the sample. | unitless |
| Prefiltration | Wheter or not sample was prefiltered. | unitless |
| FSC_Mean | Mean forward scatter (i.e., size) | arbitrary fluorescence units (AFU) |
| Green_Mean | Mean of green fluorescence (i.e., amine-reactive dye) values. | arbitrary fluorescence units (AFU) |
| Red_Mean | Mean red fluorescence (i.e., Prochlorococcus chlorophyll) values. | arbitrary fluorescence units (AFU) |
| FSC_Median | Median forward scatter (i.e., size) | arbitrary fluorescence units (AFU) |
| Green_Median | Median of green fluorescence (i.e., amine-reactive dye) values. | arbitrary fluorescence units (AFU) |
| Red_Median | Median red fluorescence (i.e., Prochlorococcus chlorophyll) values. | arbitrary fluorescence units (AFU) |
| FSC_CV | Coefficient of variation (CV) for mean and median forward scatter. | arbitrary fluorescence units (AFU) |
| Green_CV | Coefficient of variation (CV) of green fluorescence (i.e., amine-reactive dye) values. | arbitrary fluorescence units (AFU) |
| Red_CV | Coefficient of variation (CV) of red fluorescence (i.e., Prochlorococcus chlorophyll) values. | arbitrary fluorescence units (AFU) |
| Dataset-specific Instrument Name | Percival |
| Generic Instrument Name | Algal Growth Chamber |
| Generic Instrument Description | A chamber specifically designed for the growth of algae in flasks. The chamber typically provides controlled temperature, humidity, and light conditions. |
| Dataset-specific Instrument Name | Guava HT1 |
| Generic Instrument Name | Flow Cytometer |
| 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. Description from: http://www.bio.umass.edu/micro/immunology/facs542/facswhat.htm |
NSF Award Abstract:
The function and stability of microbial communities in the ocean depends on exchanges of biological products and services between individual cells. Marine microbes are typically far apart from one another, so some of these exchanges occur through the release of products or services into the surrounding water, where they travel to other cells via simple diffusion. Understanding the degree to which such valuable products made by one organism are targeted to a specific partner, and how, has important implications for our understanding of the ecology and evolution of the marine microbiome. This project examines the role played by a poorly understood type of very small particle - extracellular membrane vesicles - in mediating functional interactions within the oceans. Extracellular vesicles are released by most marine microbes and are abundant in ocean waters, but our understanding of their functions remains in its infancy. As vesicles can contain diverse molecules, including active enzymes, and transport them between cells, they may work as a packaging and delivery system for goods and services traded between ecologically important microorganisms. Broader impacts of the project include providing hands-on research experiences for undergraduate and graduate students - including those from groups historically underrepresented in STEM fields - and the development of new active learning exercises to help increase knowledge about the roles microbes play in students' lives.
This project explores vesicle functions across multiple scales, combining -omics analyses, field experiments, and functional studies in cultures of diverse and ecologically important microbes to arrive at new understandings of vesicle contributions to cellular exchanges. These experiments incorporate an evolutionary perspective for exploring the range of vesicle functions and genetic mechanisms affecting their production, examining how their contents have changed in co-cultures of phytoplankton and heterotrophic bacteria following hundreds of generations of experimental laboratory evolution. Fundamental ecological questions are addressed concerning whether vesicles, and their associated functions, act as truly 'public goods' in the oceans or can instead be targeted to a subset of cells, possibly yielding 'club goods' that define interacting, cooperative networks. Collectively, this effort will generate new insights into the mechanisms marine microbes use to interact with one another, and experimentally define the functional potential and ecological impact of EV-mediated trafficking networks in the oceans.
This project is jointly funded by the Biological Oceanography Program and the Established Program to Stimulate Competitive Research (EPSCoR). This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
| Funding Source | Award |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) | |
| NSF Division of Ocean Sciences (NSF OCE) |