ReviewFrontiers in plant science2022
CAM Models: Lessons and Implications for CAM Evolution.
Review in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Open questions on facultative C4-CAM photosynthesis in Portulaca.Journal of experimental botany · 2026Review
- An integrated microbiological analysis of the soil and rhizosphere ofMicrobiology (Reading, England) · 2026Article
- Weather types and soil moisture modulate surface energy partitioning in a subtropical CAM pineapple field.Frontiers in plant science · 2026Article
- Synthetic crassulacean acid metabolism (SynCAM) for improving water-use efficiency in plants.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- Multiscale Mathematical Modeling in Systems Biology: A Framework to Boost Plant Synthetic Biology.Plants (Basel, Switzerland) · 2025Review
- From leaf to multiscale models of photosynthesis: applications and challenges for crop improvement.Photosynthesis research · 2024Review
- Elevated nocturnal respiratory rates in the mitochondria of CAM plants: current knowledge and unanswered questions.Annals of botany · 2023Article
- Defining Mechanisms of CInternational journal of molecular sciences · 2023Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The evolution of Crassulacean acid metabolism (CAM) by plants has been one of the most successful strategies in response to aridity. On the onset of climate change, expanding the use of water efficient crops and engineering higher water use efficiency into C3 and C4 crops constitute a plausible solution for the problems of agriculture in hotter and drier environments. A firm understanding of CAM is thus crucial for the development of agricultural responses to climate change. Computational models on CAM can contribute significantly to this understanding. Two types of models have been used so far. Early CAM models based on ordinary differential equations (ODE) reproduced the typical diel CAM features with a minimal set of components and investigated endogenous day/night rhythmicity. This line of research brought to light the preponderant role of vacuolar malate accumulation in diel rhythms. A second wave of CAM models used flux balance analysis (FBA) to better understand the role of CO
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