REVIEW article
Front. Plant Sci.
Sec. Aquatic Photosynthetic Organisms
Volume 16 - 2025 | doi: 10.3389/fpls.2025.1614397
Charting the State of GEMs in Microalgae: Progress, Challenges, and Innovations
Provisionally accepted
- Colorado School of Mines, Golden, United States
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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.
Keywords: metabolic flux, algae, Photosynthesis, modeling, Metabolism
Received: 18 Apr 2025; Accepted: 26 May 2025.
Copyright: © 2025 Tamburro and Boyle. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Nanette Regina Boyle, Colorado School of Mines, Golden, United States
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