Basin-scale biogeography of marine phytoplankton reflects cellular-scale optimization of metabolism and physiology

Casey, John R.; Boiteau, Rene M.; Engqvist, Martin K. M.; Finkel, Zoe V.; Li, Gang; Liefer, Justin; Müller, Christian L.; Muñoz, Nathalie; Follows, Michael J.

doi:10.1126/sciadv.abl4930

Title: Basin-scale biogeography of marine phytoplankton reflects cellular-scale optimization of metabolism and physiology

Journal Article · 20 January 2022 · Science Advances

DOI: https://doi.org/10.1126/sciadv.abl4930 · OSTI ID:1841873

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Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States); Univ. of Hawaii at Manoa, Honolulu, HI (United States)
Oregon State Univ., Corvallis, OR (United States)
Chalmers University of Technology, Gothenburg (Sweden)
Dalhousie Univ., Halifax, NS (Canada)
Mount Allison, Sackville, NB (Canada)
Flatiron Institute, New York, NY (United States)
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)

Extensive microdiversity within Prochlorococcus, the most abundant marine cyanobacterium, occurs at scales from a single droplet of seawater to ocean basins. To interpret the structuring role of variations in genetic potential, as well as metabolic and physiological acclimation, we developed a mechanistic constraint-based modeling framework that incorporates the full suite of genes, proteins, metabolic reactions, pigments, and biochemical compositions of 69 sequenced isolates spanning the Prochlorococcus pangenome. Optimizing each strain to the local, observed physical and chemical environment along an Atlantic Ocean transect, we predicted variations in strain-specific patterns of growth rate, metabolic configuration, and physiological state, defining subtle niche subspaces directly attributable to differences in their encoded metabolic potential. Predicted growth rates covaried with observed ecotype abundances, affirming their significance as a measure of fitness and inferring a nonlinear density dependence of mortality. Our study demonstrates the potential to interpret global-scale ecosystem organization in terms of cellular-scale processes.

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Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: Simons Foundation; USDOE Office of Science (SC)

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 1841873

Report Number(s):: PNNL-SA-169821

Journal Information:: Science Advances, Journal Name: Science Advances Journal Issue: 3 Vol. 8; ISSN 2375-2548

Publisher:: AAASCopyright Statement

Country of Publication:: United States

Language:: English

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