ArticleProceedings of the National Academy of Sciences of the United States of America2011
Dynamic model of flexible phytoplankton nutrient uptake.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Warming Accelerates Phytoplankton Bloom Dynamics and Differentially Affects the Fluxes of Carbon, Nitrogen, and Oxygen Through a Coastal Microbial Community.Microbial ecology · 2025Article
- Coexistence of Dominant Marine Phytoplankton Sustained by Nutrient Specialization.Microbiology spectrum · 2023Article
- Schindler's legacy: from eutrophic lakes to the phosphorus utilization strategies of cyanobacteria.FEMS microbiology reviews · 2022Review
- Incorporating parameter variability into Monod models of nutrient-limited growth of non-diazotrophic and diazotrophic cyanobacteria.Environmental microbiology · 2022Article
- GLUT1 production in cancer cells: a tragedy of the commons.NPJ systems biology and applications · 2022Article
- Photosynthetic activity in both algae and cyanobacteria changes in response to cues of predation.Frontiers in plant science · 2022Article
- Cellular costs underpin micronutrient limitation in phytoplankton.Science advances · 2021Article
- Article
- Predicting microbial growth dynamics in response to nutrient availability.PLoS computational biology · 2021Article
- A steady-state model of microbial acclimation to substrate limitation.PLoS computational biology · 2020Article
- Ocean currents promote rare species diversity in protists.Science advances · 2020Article
- Linking regional shifts in microbial genome adaptation with surface ocean biogeochemistry.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
- Rethinking phosphorus-chlorophyll relationships in lakes.Limnology and oceanography · 2020Article
- Modelling microbial communities using biochemical resource allocation analysis.Journal of the Royal Society, Interface · 2019Article
- Temporal phosphate gradients reveal diverse acclimation responses in phytoplankton phosphate uptake.The ISME journal · 2019Article
- Interacting Temperature, Nutrients and Zooplankton Grazing Control Phytoplankton Size-Abundance Relationships in Eight Swiss Lakes.Frontiers in microbiology · 2019Article
- Role of carbon allocation efficiency in the temperature dependence of autotroph growth rates.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Challenges in microbial ecology: building predictive understanding of community function and dynamics.The ISME journal · 2016Review
- The Thermodynamic Flow-Force Interpretation of Root Nutrient Uptake Kinetics: A Powerful Formalism for Agronomic and Phytoplanktonic Models.Frontiers in physiology · 2016Review
- Harmful algal blooms and climate change: Learning from the past and present to forecast the future.Harmful algae · 2015Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The metabolic machinery of marine microbes can be remarkably plastic, allowing organisms to persist under extreme nutrient limitation. With some exceptions, most theoretical approaches to nutrient uptake in phytoplankton are largely dominated by the classic Michaelis-Menten (MM) uptake functional form, whose constant parameters cannot account for the observed plasticity in the uptake apparatus. Following seminal ideas by earlier researchers, we propose a simple cell-level model based on a dynamic view of the uptake process whereby the cell can regulate the synthesis of uptake proteins in response to changes in both internal and external nutrient concentrations. In our flexible approach, the maximum uptake rate and nutrient affinity increase monotonically as the external nutrient concentration decreases. For low to medium nutrient availability, our model predicts uptake and growth rates larger than the classic MM counterparts, while matching the classic MM results for large nutrient concentrations. These results have important consequences for global coupled models of ocean circulation and biogeochemistry, which lack this regulatory mechanism and are thus likely to underestimate phytoplankton abundances and growth rates in oligotrophic regions of the ocean.
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