TY - JOUR
T1 - Basin-scale biogeography of marine phytoplankton reflects cellular-scale optimization of metabolism and physiology
AU - Casey, John R.
AU - Boiteau, Rene M.
AU - Engqvist, Martin K.M.
AU - Finkel, Zoe V.
AU - Li, Gang
AU - Liefer, Justin
AU - Müller, Christian L.
AU - Muñoz, Nathalie
AU - Follows, Michael J.
N1 - Publisher Copyright:
Copyright © 2022 The Authors, some rights reserved.
PY - 2022/1
Y1 - 2022/1
N2 - 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.
AB - 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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U2 - 10.1126/sciadv.abl4930
DO - 10.1126/sciadv.abl4930
M3 - Article
C2 - 35061539
AN - SCOPUS:85123297461
SN - 2375-2548
VL - 8
JO - Science Advances
JF - Science Advances
IS - 3
M1 - eabl4930
ER -