ArticleNPJ systems biology and applications2020
Dynamic resource allocation drives growth under nitrogen starvation in eukaryotes.
Article in NPJ systems biology and applications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 31 citations in OpenAlex.
- Ecological Modulation of Soil Microbial Communities by Fertilization Regimes: Insights from Castor Bean Cake, Chemical Fertilizers, and Organic Fertilizer.Microorganisms · 2025Article
- Coarse-Grained Modeling Elucidates Differential Metabolism ofACS synthetic biology · 2025Article
- Adaptation to Long-Term Nitrogen Starvation in a Biocrust-Derived MicroalgaMicroorganisms · 2025Article
- Deciphering metabolic differentiation during Bacillus subtilis sporulation.Nature communications · 2025Article
- Emergence of Orchestrated and Dynamic Metabolism ofACS synthetic biology · 2024Article
- The genome-scale metabolic model for the purple non-sulfur bacterium Rhodopseudomonas palustris Bis A53 accurately predicts phenotypes under chemoheterotrophic, chemoautotrophic, photoheterotrophic, and photoautotrophic growth conditions.PLoS computational biology · 2023Article
- Predicting stress response and improved protein overproduction in Bacillus subtilis.NPJ systems biology and applications · 2022Article
- Impact of Nitrate and Ammonium Concentrations on Co-Culturing of Tetradesmus obliquus IS2 with Variovorax paradoxus IS1 as Revealed by Phenotypic Responses.Microbial ecology · 2022Article
- Genetic regulation and fermentation strategy for squalene production in Schizochytrium sp.Applied microbiology and biotechnology · 2022Article
- Review
- Linking metabolic phenotypes to pathogenic traits among "Candidatus Liberibacter asiaticus" and its hosts.NPJ systems biology and applications · 2020Article
- Synthetic microbial communities of heterotrophs and phototrophs facilitate sustainable growth.Nature communications · 2020Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cells can sense changes in their extracellular environment and subsequently adapt their biomass composition. Nutrient abundance defines the capability of the cell to produce biomass components. Under nutrient-limited conditions, resource allocation dramatically shifts to carbon-rich molecules. Here, we used dynamic biomass composition data to predict changes in growth and reaction flux distributions using the available genome-scale metabolic models of five eukaryotic organisms (three heterotrophs and two phototrophs). We identified temporal profiles of metabolic fluxes that indicate long-term trends in pathway and organelle function in response to nitrogen depletion. Surprisingly, our calculations of model sensitivity and biosynthetic cost showed that free energy of biomass metabolites is the main driver of biosynthetic cost and not molecular weight, thus explaining the high costs of arginine and histidine. We demonstrated how metabolic models can accurately predict the complexity of interwoven mechanisms in response to stress over the course of growth.
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