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Published on: August 14, 2020
Charting the state of GEMs in microalgae: progress, challenges, and innovations
Jacob Tamburro1, Nanette R Boyle1,2
1Quantitative Biosciences & Engineering, Colorado School of Mines, Golden, CO, United States.
None:
Genome-scale metabolic models (GEMs) provide a systems-level framework for understanding and engineering microalgal metabolism. This review explores the evolution of GEMs in microalgae, highlighting advances in light modeling, automation, and multi-omics integration. Special emphasis is placed on Chlamydomonas reinhardtii as a model species. Limitations of current models, particularly for microalgae, are discussed, alongside promising developments in dynamic modeling and machine learning. Together, these innovations chart a path toward more predictive, adaptable GEMs that can accelerate biotechnological applications of microalgae in sustainable production systems.
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