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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.
Affiliation
  • Casey JR; Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Boiteau RM; School of Ocean and Earth Science and Technology, University of Hawai'i at M[Formula: see text]noa, Honolulu, HI, USA.
  • Engqvist MKM; College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR, USA.
  • Finkel ZV; Department of Biology and Biological Engineering, Chalmers University of Technology, Göteborg, Sweden.
  • Li G; Department of Oceanography, Dalhousie University, Halifax, NS, Canada.
  • Liefer J; Department of Biology and Biological Engineering, Chalmers University of Technology, Göteborg, Sweden.
  • Müller CL; Department of Biology, Mount Allison University, Sackville, NB, Canada.
  • Muñoz N; Center for Computational Mathematics, Flatiron Institute, New York, NY, USA.
  • Follows MJ; Environmental Molecular Sciences Division, Pacific Northwest National Laboratories, Richland, WA, USA.
Sci Adv ; 8(3): eabl4930, 2022 Jan 21.
Article in En | MEDLINE | ID: mdl-35061539
ABSTRACT
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.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sci Adv Year: 2022 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sci Adv Year: 2022 Document type: Article Affiliation country: United States