Detalle de: The mini revolution: application of mini-bioreactors in adaptive laboratory evolution
| Title | The mini revolution: application of mini-bioreactors in adaptive laboratory evolution |
| Abstract |
Adaptive laboratory evolution (ALE) is a powerful tool for understanding and controlling the evolutionary trajectories of microorganisms. The scope of applications extends widely, including areas such as: biotechnology, synthetic biology, microbial ecology, and fundamental evolutionary research. In this work, we systematically explore the implementation and advantages of mini-bioreactors, defined as reactors with working volumes below 0.5 L, in ALE experiments. Mini-bioreactors offer substantial improvements over traditional large-scale reactors, including: reduced costs, enhanced parallelization capabilities, customizable configurations, and ease of automation. Through the utilization of illustrative case studies, which facilitate a comparative and critical evaluation of: batch, chemostat, turbidostat, and morbidostat operational modes, this review underscores the distinct capabilities of mini-bioreactors in enabling precise, dynamic control of evolutionary pressures. The novelty of this review lies in its comprehensive synthesis of recent advancements in mini-bioreactor technologies and operational strategies, particularly emphasizing innovations, such as: integrated automation, advanced sensors, and novel control algorithms adapted or specially designed for ALE. The ultimate objective is to provide both novices and experienced researchers with an updated, in-depth resource that addresses current technological limitations and future directions of mini-bioreactors in ALE. |
| Apa Reference | Pedreira, A., Vázquez, J.A. & García, M.R. (2026). The mini revolution: application of mini-bioreactors in adaptive laboratory evolution. Critical Reviews in Biotechnology, 46(2), 338-356. 10.1080/07388551.2025.2608012 |
| Doi | 10.1080/07388551.2025.2608012 |
| Publication Date | 27 Jan 2026 |
| Publication Type | Article |
| Researcher | Miriam Rodríguez García |
| Ontology | Parallel Computing, Synthetic biology |
| Research Groups | |
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