Impact of Alteromonas macleodii exudates on the growth of Prochlorococcus MIT9312 cultures

Website: https://www.bco-dmo.org/dataset/995113
Data Type: experimental
Version: 1
Version Date: 2026-04-09

Project
» Collaborative Research: Extracellular vesicles as vehicles for microbial interactions in marine Black Queen communities (Vesicle Interactions)
ContributorsAffiliationRole
Biller, StevenWellesley CollegePrincipal Investigator
Morris, James JeffreyUniversity of Alabama at Birmingham (UA/Birmingham)Co-Principal Investigator, Contact
Lu, ZhiyingUniversity of Alabama at Birmingham (UA/Birmingham)Scientist
Soenen, KarenWoods 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. In this work we used conditioned media experiments to demonstrate that exudates of the heterotrophic bacterium Alteromonas macleodii EZ55 facilitated the survival of Prochlorococcus MIT9312 batch co-cultures as they entered stationary phase. We further show that the largest molecular weight fraction (> 50 kDa) was much more effective than the < 50 kDa fraction, and that boiling the exudate dramatically reduces its ability to facilitate Prochlorococcus growth and survival, supporting the hypothesis that active enzymes in the exudate were responsible for the observed effects.


Coverage

Location: Laboratories at the 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 (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).

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. 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.


Data Processing Description

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 (1). 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 (2). Statistical differences between lysate and exudate protein localization counts were determined using Fisher’s exact test implemented in R.


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Related Publications

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
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
R. Andersen, Ed., Algal Culturing Techniques, (Academic Press, Burlington, MA, 2005), pp. 596. https://isbnsearch.org/isbn/9780120884261
Methods
Searle, S. R., Speed, F. M., & Milliken, G. A. (1980). Population Marginal Means in the Linear Model: An Alternative to Least Squares Means. The American Statistician, 34(4), 216–221. https://doi.org/10.1080/00031305.1980.10483031
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
Sokal, R. R., and F. J. Rohlf. 2012. Biometry Fourth Edition. Freeman, New York.
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

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Parameters

Parameters for this dataset have not yet been identified


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Instruments

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. (from: http://www.bio.umass.edu/micro/immunology/facs542/facswhat.htm)

Dataset-specific Instrument Name
Generic Instrument Name
Turner Designs Trilogy fluorometer
Generic Instrument Description
The Trilogy Laboratory Fluorometer is a compact laboratory instrument for making fluorescence, absorbance, and turbidity measurements using the appropriate snap-in application module. Fluorescence modules are available for discrete sample measurements of various fluorescent materials including chlorophyll (in vivo and extracted), rhodamine, fluorescein, cyanobacteria pigments, ammonium, CDOM, optical brighteners, and other fluorescent compounds.


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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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