Alteromonas macleodii vesicle diameter measured during Cryo-EM micrograph experiment

Website: https://www.bco-dmo.org/dataset/986262
Data Type: experimental
Version: 1
Version Date: 2025-10-23

Project
» Collaborative Research: Extracellular vesicles as vehicles for microbial interactions in marine Black Queen communities (Vesicle Interactions)
ContributorsAffiliationRole
Biller, StevenWellesley CollegeCo-Principal Investigator
Morris, James JeffreyUniversity of Alabama at Birmingham (UA/Birmingham)Co-Principal Investigator
Kizziah, JamesUniversity of Alabama at Birmingham (UA/Birmingham)Scientist
Lu, ZhiyingUniversity of Alabama at Birmingham (UA/Birmingham)Scientist
Plummer, SydneyUniversity of Alabama at Birmingham (UA/Birmingham)Scientist
Mickle, AudreyWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
The cyanobacterium Prochlorococcus has a conspicuously reduced genome causing it to require help from co-existing organisms for survival under a variety of stressful conditions. Here we showed that Alteromonas facilitated greater exploitation of medium resources by Prochlorococcus, allowing them to grow to greater cell densities, delay entry into stationary phase, and avoid cell death in batch co-cultures, potentially by degrading autotoxic substances produced in dense Prochlorococcus cultures. We further showed that heat-labile high-molecular weight exudates from Alteromonas were responsible for this effect. Alteromonas exudates contained a wide variety of proteins and demonstrated enzymatic activities, and both the composition and activity of the exudates changed after 500 generations of adaptation to a changed environment, suggesting some form of genetic regulation. Some of these proteins and activities may have been packaged within extracellular membrane vesicles, which we identified within Alteromonas exudates and found capable of physically associating with Prochlorococcus cells. Many of the functionalities observed in Alteromonas exudates (e.g., increasing phosphate availability, degrading hydrogen peroxide) were consistent with leaky Black Queen processes, which are defined as services provided by one organism that benefit the entire community and favor the evolution of interdependencies in microbial communities. This dataset contains manual measurements of extracellular vesicle diameters from Alteromonas macleodii obtained from cryo-electron micrographs. The images used for these measurements are also included in the supplemental material.


Coverage

Location: Laboratories at University of Alabama at Birmingham

Methods & Sampling

Strains and culture conditions

All strains used in this study were taken from those used for a Long-Term Phytoplankton Evolution (LTPE) experiment (Lu et al., 2025). Prochlorococcus strains were streptomycin-resistant derivatives of the high light-adapted strain MIT9312 obtained as described previously (Morris et al., 2011; Morris et al., 2008), 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 (Solomon et al., 2007)). Alteromonas strains were derivatives of strain EZ55, originally isolated from a Prochlorococcus MIT9215 culture (Morris et al., 2008). 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 (Morris et al., 2008) and were acclimated to culture conditions for at least 4 generations prior to data collection.

Alteromonas cultures were grown in YTSS medium (Sobecky et al., 1997) and Prochlorococcus cultures were grown in Pro99 medium (Andersen, 2005) or PEv medium (Lu et al., 2025), both made in an artificial seawater base (ASW) (Lu et al., 2025). 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 μmol 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 μm 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. 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).

Growth tests in conditioned media

We conducted tests using three types of conditioned media: Prochlorococcus (Pro CM), Alteromonas (EZ55 CM), and Prochlorococcus subsequently treated with Alteromonas (Pro CM + EZ55). For Pro CM, we produced axenic Prochlorococcus by adding streptomycin to a final concentration of 100 μg/mL to low-density (~106 cells mL-1) Prochlorococcus cultures. After 48 h exposure to the antibiotic, we confirmed that no Alteromonas EZ55 cells survived by transferring 1 mL into sterile YTSS medium and checking for growth after 24 hours. A 0.5 mL aliquot of this axenic Prochlorococcus culture was transferred to 12 ml fresh Pro99 media and cultivated for 11 days, after which the cells were removed by filtering the medium using a sterile 0.2 μm PVDF syringe filter (Millipore Sigma, Burlington, MA, USA). EZ55 CM and Pro CM + EZ55 were produced by inoculating washed Alteromonas EZ55 cells from YTSS medium at approximately 106 CFU mL-1 to sterile Pro99 (EZ55 CM) or to a sub-sample of the Pro CM described above (Pro CM + EZ55). As with Pro CM, these cultures were cultivated for 11 days and were then filtered to remove the cells; previous work showed that Alteromonas cell densities are stable in ASW without added C over this time frame (Hennon et al., 2017). To initiate experiments, freshly axenic Prochlorococcus (produced as described above) was transferred to replicate 12 mL tubes of each of the 3 conditioned media, and growth was measured by chl-a fluorescence every other day.

Cryo-electron microscopy (cryo-EM)

Samples of the concentrated and desalted >50kDa fractions were kept in a cool box during transport to the UAB Cryo-EM facility where they were immediately cryogenically frozen in preparation for microscopy as previously described (Hennon et al., 2017). Briefly, 3 μL of each sample were applied to glow-discharged Quantifoil R2/2 200 mesh nickel grids (Electron Microscopy Sciences, Hatfield, PA, USA) and vitrified in liquid ethane using an FEI Vitrobot Mark IV (Thermo Fisher Scientific). The grids were observed on an FEI Tecnai F20 electron microscope (Thermo Fisher Scientific) operated at 200 kV with a typical magnification of ~34,500 × and 1-3 μm defocus. 111 images were collected under low-dose conditions in SerialEM using a Gatan K3 direct detector. For single particle reconstruction, micrographs were imported to RELION-3 (Zivanov et al., 2018), and contrast transfer functions were estimated with Gctf (Zhang, 2016). Particles were picked with Topaz (Bepler et al., 2019) using a default model (resnet8_u64). A subset of highly symmetric particles were isolated via iterative 2D classification, then separated for 3D reconstruction. Matches to modeled structures were searched in the Protein Data Bank and these structures were then fit to the reconstruction using ChimeraX (Meng et al., 2023). The diameter of vesicles from CryoEM micrographs was measured manually using the Straight Line Tool in ImageJ (v1.54p). The scale was set to 1.474 pixels Å -1 , which reflects the pixel size images were measured at. A Gaussian Blur with a sigma of 1 was applied to reduce noise. For some dark and noisy images (<10 images), the contrast was also enhanced by saturating pixels by 0.3%. Diameter in Å was then converted to nm.

Sample Metrics

The following table summarizes vesicle size metrics derived from manual measurements of Cryo-EM micrographs for each sample type.

Sample ID Sample Description Average length (nm) Median length (nm) SD (nm) Max length (nm) Min length (nm)
26 ancestor 20.623 19.476 5.922 68.846 11.261 896
397 400 ppm 20.903 19.689 7.295 125.348 11.363 413
403 800 ppm  20.146 18.775 6.164 88.396 11.837 766

BCO-DMO Processing Description

- Imported "VesicleImages_results.xlsx" into the BCO-DMO system
- Renamed fields to replace spaces and parentheses with underscores, in compliance with BCO-DMO guidelines
- Rounded all numbers to nearest whole number, as requested by submitter
- Exported file as "986262_v1_vesicle_images_results.csv"


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Data Files

File
986262_v1_vesicle_images_results.csv
(Comma Separated Values (.csv), 32.11 KB)
MD5:fbe8881ae4beed410287da65aee643b0
Primary data file for dataset ID 986262, version 1

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Supplemental Files

File
readme.txt
(Plain Text, 1.12 KB)
MD5:fca16ce945d0da1ae060c09b8af1e2ff
Summarizes processing of images for experiment
VesicleImages_26.zip
(ZIP Archive (ZIP), 2.57 GB)
MD5:52366a4fa77ee31bfd66574928a6cf51
Images used to measure the diameter of vesicles for sample 26 (ancestral strain)
VesicleImages_26_inventory.tsv
(Tab Separated Values (.tsv), 7.38 KB)
MD5:de8f0c7281024d106e6db5f39362ce36
Inventory of files in VesicleImages_26.zip
VesicleImages_397.zip
(ZIP Archive (ZIP), 8.37 GB)
MD5:76619222760530bdffe825eaa3725b22
Images used to measure the diameter of vesicles for sample 397 (evolved at 400 ppm CO₂)
VesicleImages_397_inventory.tsv
(Tab Separated Values (.tsv), 19.55 KB)
MD5:0cc5a8fb8d0052474ded0a04423da019
Inventory of files in VesicleImages_397.zip
VesicleImages_403.zip
(ZIP Archive (ZIP), 1.18 GB)
MD5:c8dbe7998bd34c37f7a934a22fe7ac57
Images used to measure the diameter of vesicles for sample 403 (evolved at 800 ppm CO₂)
VesicleImages_403_inventory.tsv
(Tab Separated Values (.tsv), 3.39 KB)
MD5:bff8cc0043bf171d3e3e9d452c3f13ae
Inventory of files in VesicleImages_403.zip

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Related Publications

Andersen RA (2005). Algal culturing techniques. Elsevier/Academic Press, Burlington, Mass. ISBN: 0120884267
Methods
Bepler, T., Morin, A., Rapp, M., Brasch, J., Shapiro, L., Noble, A. J., & Berger, B. (2019). Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs. Nature Methods, 16(11), 1153–1160. https://doi.org/10.1038/s41592-019-0575-8
Methods
Hennon, G. M., Morris, J. J., Haley, S. T., Zinser, E. R., Durrant, A. R., Entwistle, E., … Dyhrman, S. T. (2017). The impact of elevated CO2 on Prochlorococcus and microbial interactions with “helper” bacterium Alteromonas. The ISME Journal, 12(2), 520–531. doi:10.1038/ismej.2017.189.
Methods
Lu, Z., Entwistle, E., Kuhl, M. D., Durrant, A. R., Barreto Filho, M. M., Goswami, A., & Morris, J. J. (2025). Coevolution of marine phytoplankton and Alteromonas bacteria in response to pCO2 and coculture. The ISME Journal, 19(1). https://doi.org/10.1093/ismejo/wrae259
Methods
Lu, Z., Plummer, S., Kizziah, J., Biller, S. J., & Jeffrey Morris, J. (2025). Enzymatically active exudates from Alteromonas facilitate Prochlorococcus survival in stationary phase. https://doi.org/10.1101/2025.05.28.656624
Results
Meng, E. C., Goddard, T. D., Pettersen, E. F., Couch, G. S., Pearson, Z. J., Morris, J. H., & Ferrin, T. E. (2023). UCSF ChimeraX: Tools for structure building and analysis. Protein Science, 32(11). Portico. https://doi.org/10.1002/pro.4792
Methods
Morris, J. J., Johnson, Z. I., Szul, M. J., Keller, M., & Zinser, E. R. (2011). Dependence of the Cyanobacterium Prochlorococcus on Hydrogen Peroxide Scavenging Microbes for Growth at the Ocean’s Surface. PLoS ONE, 6(2), e16805. https://doi.org/10.1371/journal.pone.0016805
Methods
Morris, J. J., Kirkegaard, R., Szul, M. J., Johnson, Z. I., & Zinser, E. R. (2008). Facilitation of Robust Growth of Prochlorococcus Colonies and Dilute Liquid Cultures by "Helper" Heterotrophic Bacteria. Applied and Environmental Microbiology, 74(14), 4530–4534. https://doi.org/10.1128/aem.02479-07 https://doi.org/10.1128/AEM.02479-07
Methods
Sobecky, P. A., Mincer, T. J., Chang, M. C., & Helinski, D. R. (1997). Plasmids isolated from marine sediment microbial communities contain replication and incompatibility regions unrelated to those of known plasmid groups. Applied and Environmental Microbiology, 63(3), 888–895. https://doi.org/10.1128/aem.63.3.888-895.1997
Methods
Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M., & Miller, H. L. (Eds.). (2007). Climate Change 2007: The Physical Science Basis. Cambridge University Press. https://www.ipcc.ch/report/ar4/wg1/
Methods
Zhang, K. (2016). Gctf: Real-time CTF determination and correction. Journal of Structural Biology, 193(1), 1–12. https://doi.org/10.1016/j.jsb.2015.11.003
Methods
Zivanov, J., Nakane, T., Forsberg, B. O., Kimanius, D., Hagen, W. J., Lindahl, E., & Scheres, S. H. (2018). New tools for automated high-resolution cryo-EM structure determination in RELION-3. ELife, 7. CLOCKSS. https://doi.org/10.7554/elife.42166 https://doi.org/10.7554/eLife.42166
Methods

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Parameters

ParameterDescriptionUnits
Sample_ID

Identifier for each experimental sample. In this dataset: 26 = ancestral strain, 397 = evolved at 400 ppm CO₂, and 403 = evolved at 800 ppm CO₂

unitless
Vesicle_number

Sequential number assigned to each vesicle measured in the micrographs

unitless
Length_Angstroms

Raw vesicle diameter measured manually in ImageJ

Angstroms (Å)
Length_nm

Vesicle diameter converted to nanometers (1 Å = 0.1 nm)

Nanometers (nm)
Corrected_Length_nm

For data from samples labeled 397; a correction factor of 0.515 was multiplied by the length because initially a pixel spacing of 2.86 instead of the correct pixel spacing of 1.474 was used during measurements in ImageJ where, Correct Length= (1.474/2.86) × Measured Length

Nanometers (nm)


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Instruments

Dataset-specific Instrument Name
Gatan K3 direct detector
Generic Instrument Name
Camera
Dataset-specific Description
111 images were collected under low-dose conditions in SerialEM using a Gatan K3 direct detector. 
Generic Instrument Description
All types of photographic equipment including stills, video, film and digital systems.

Dataset-specific Instrument Name
FEI Tecnai F20 electron microscope
Generic Instrument Name
Electron Microscope
Dataset-specific Description
The grids were observed on an FEI Tecnai F20 electron microscope (Thermo Fisher Scientific) operated at 200 kV with a typical magnification of ~34,500 × and 1-3 μm defocus. 
Generic Instrument Description
Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of electrons behaving as waves.

Dataset-specific Instrument Name
Guava HT1 flow cytometer
Generic Instrument Name
Flow Cytometer
Dataset-specific Description
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.
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)

Dataset-specific Instrument Name
Trilogy fluorometer
Generic Instrument Name
Fluorometer
Dataset-specific Description
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.
Generic Instrument Description
A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ.

Dataset-specific Instrument Name
Percival incubator
Generic Instrument Name
Incubator
Dataset-specific Description
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.
Generic Instrument Description
A device in which environmental conditions (light, photoperiod, temperature, humidity, etc.) can be controlled. Note: we have more specific terms for shipboard incubators (https://www.bco-dmo.org/instrument/629001) and in-situ incubators (https://www.bco-dmo.org/instrument/494).


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Project Information

Collaborative Research: Extracellular vesicles as vehicles for microbial interactions in marine Black Queen communities (Vesicle Interactions)

Coverage: Laboratory cultures


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.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)
NSF Division of Ocean Sciences (NSF OCE)

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