A window into resistance: The MEGA-plate as a model of evolutionary dynamics

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Authors: Maytham H. Hussein, Rafah Allobawi, James Barclay, Zhi Ying Kho, Sam Schembri, Thuraya Safaa Ansaf, Ian R. Monk, Rajnikant Sharma, Gauri G. Rao, Jian Li, Tony Velkov
Cited by: 1
References: 20

Abstract

OBJECTIVES: The Microbial Evolution and Growth Arena (MEGA-plate) is a spatially structured experimental system that enables direct visualization of microbial adaptation under antimicrobial pressure. Unlike traditional well-mixed models, the MEGA-plate captures spatial dynamics and evolutionary bottlenecks in real time, offering unique insights into resistance development. METHODS: Here, we review advances in the application of the MEGA-plate across diverse contexts, integrating findings from bacterial, fungal, and veterinary domains. We also consider the MEGA-plate alongside established experimental evolution systems (e.g., serial passaging, continuous culture, and feedback-controlled selection devices). RESULTS: Since its introduction, the MEGA-plate has been applied across diverse contexts, from education and evolutionary theory to clinically relevant investigations of antibiotic resistance. Published studies show that the platform can reveal mutational trajectories, multidrug co-selection, and cross-resistance to critical antibiotic classes such as β-lactams and fluoroquinolones, as well as tolerance phenomena in fungal pathogens. CONCLUSIONS: These advances have important implications for antimicrobial stewardship, resistance surveillance, and therapeutic strategy. By integrating findings across bacterial, fungal, and veterinary domains, the MEGA-plate highlights translational potential as a tool to anticipate resistance pathways and inform clinical microbiology. Importantly, positioning the MEGA-plate alongside established experimental evolution systems clarifies where spatial drug landscapes provide unique mechanistic value and where alternative approaches remain essential for fastidious organisms and community-level questions.

Fields of Study & Subjects

Evolution and Genetic Dynamics Antibiotic Resistance in Bacteria Antibiotic Use and Resistance

Publication details

Journal / source
International Journal of Antimicrobial Agents
Publisher
Elsevier BV
Volume
67
Issue
5
Pages
107751–107751
Publication date
20 February 2026
Language
EN