ArticleMicrobiology spectrum2022
Characterizing the Interplay of Rubisco and Nitrogenase Enzymes in Anaerobic-Photoheterotrophically Grown Rhodopseudomonas palustris CGA009 through a Genome-Scale Metabolic and Expression Model.
Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Machine learning reveals proteome-encoded growth determinants underlying metabolic versatility ofmSystems · 2026Article
- Purple phototrophic bacteria release crotonate as a metabolic overflow pathway.Communications biology · 2026Article
- Artificial Neural Network Elucidates the Role of Transport Proteins inMetabolites · 2026Article
- Machine Learning Reveals Proteome-Encoded Growth Predictors ofbioRxiv : the preprint server for biology · 2025Article
- Review
- Enzyme-constrained metabolic model ofmSystems · 2025Article
- Engineering a Photoautotrophic Microbial Coculture toward Enhanced Biohydrogen Production.Environmental science & technology · 2025Article
- Metabolic model guided CRISPRi identifies a central role for phosphoglycerate mutase inmSystems · 2024Article
- Optimal Protein Allocation Controls the Inhibition of GltA and AcnB inbioRxiv : the preprint server for biology · 2024Article
- Article
- Optimal protein allocation controls the inhibition of GltA and AcnB in Neisseria gonorrhoeae.Pathogens and disease · 2024Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rhodopseudomonas palustris CGA009 is a Gram-negative purple nonsulfur bacterium that grows phototrophically by fixing carbon dioxide and nitrogen or chemotrophically by fixing or catabolizing a wide array of substrates, including lignin breakdown products for its carbon and fixing nitrogen for its nitrogen requirements. It can grow aerobically or anaerobically and can use light, inorganic, and organic compounds for energy production. Due to its ability to convert different carbon sources into useful products during anaerobic growth, this study reconstructed a metabolic and expression (ME) model of R. palustris to investigate its anaerobic-photoheterotrophic growth. Unlike metabolic (M) models, ME models include transcription and translation reactions along with macromolecules synthesis and couple these reactions with growth rate. This unique feature of the ME model led to nonlinear growth curve predictions, which matched closely with experimental growth rate data. At the theoretical maximum growth rate, the ME model suggested a diminishing rate of carbon fixation and predicted malate dehydrogenase and glycerol-3 phosphate dehydrogenase as alternate electron sinks. Moreover, the ME model also identified ferredoxin as a key regulator in distributing electrons between major redox balancing pathways. Because ME models include the turnover rate for each metabolic reaction, it was used to successfully capture experimentally observed temperature regulation of different nitrogenases. Overall, these unique features of the ME model demonstrated the influence of nitrogenases and rubiscos on R. palustris growth and predicted a key regulator in distributing electrons between major redox balancing pathways, thus establishing a platform for
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