ArticleeLife2019
Evolution of C4 photosynthesis predicted by constraint-based modelling.
Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Metabolic modeling predicts synergistic growth benefits between arbuscular mycorrhizal fungi and theoretical N2-fixing rhizobia symbiosis in maize.Plant physiology · 2026Article
- Systems analysis of leaf anatomy and transcriptome using unsupervised machine learning provides insight on photosynthesis development and evolution in non-model grasses.Plant direct · 2026Article
- Multi-omics analysis reveals distinct responses to light stress in photosynthesis and primary metabolism between maize and rice.Plant communications · 2025Article
- Metabolic modeling identifies determinants of thermal growth responses in Arabidopsis thaliana.The New phytologist · 2025Article
- A transcription factor module mediating CEMBO reports · 2025Article
- Leaf transcriptomes from C3, C3-C4 intermediate, and C4Neurachne species give insights into C4 photosynthesis evolution.Plant physiology · 2024Article
- COI1 F-box proteins regulate DELLA protein levels, growth, and photosynthetic efficiency in maize.The Plant cell · 2024Article
- Multiple Roles of Glycerate Kinase-From Photorespiration to Gluconeogenesis, CInternational journal of molecular sciences · 2024Review
- Bringing home the carbon: photorespiratory CO2 recovery shows diverse efficiency in Brassicaceae.Journal of experimental botany · 2023Article
- Brassicaceae display variation in efficiency of photorespiratory carbon-recapturing mechanisms.Journal of experimental botany · 2023Article
- Growth phase estimation for abundant bacterial populations sampled longitudinally from human stool metagenomes.Nature communications · 2023Article
- Integrated global analysis in spider flowers illuminates features underlying the evolution and maintenance of CHorticulture research · 2023Article
- Review of Current Prospects for UsingPolymers · 2023Review
- Review
- Evolutionary implications of C2 photosynthesis: how complex biochemical trade-offs may limit C4 evolution.Journal of experimental botany · 2023Article
- Comparative transcriptomics reveals the role of altered energy metabolism in the establishment of single-cell CFrontiers in plant science · 2023Article
- Spatial resolution of an integrated CScience advances · 2022Article
- Effects of growth temperature and nitrogen nutrition on expression of CJournal of plant research · 2022Article
- Evaluation of the Anti-transpirant Activity of ABA Receptor Agonists in Monocot and Eudicot Plants.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Distinct CPlant direct · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Constraint-based modelling (CBM) is a powerful tool for the analysis of evolutionary trajectories. Evolution, especially evolution in the distant past, is not easily accessible to laboratory experimentation. Modelling can provide a window into evolutionary processes by allowing the examination of selective pressures which lead to particular optimal solutions in the model. To study the evolution of C4 photosynthesis from a ground state of C3 photosynthesis, we initially construct a C3 model. After duplication into two cells to reflect typical C4 leaf architecture, we allow the model to predict the optimal metabolic solution under various conditions. The model thus identifies resource limitation in conjunction with high photorespiratory flux as a selective pressure relevant to the evolution of C4. It also predicts that light availability and distribution play a role in guiding the evolutionary choice of possible decarboxylation enzymes. The data shows evolutionary CBM in eukaryotes predicts molecular evolution with precision.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.