Mathematical Modeling of Microbial Community Dynamics

• Ana Paredes ^[1] ; Eva Balsa-Canto ^[2] ; Julio R. Banga ^[3]
  1. [1] Computational Biology Lab, MBG-CSIC
  2. [2] Instituto de Investigacións Mariñas (IIM)
  3. [3] CSIC

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• Localización: Proceedings XoveTIC 2024: Impulsando el talento científico / coord. por Manuel Lagos Rodríguez, Tirso Varela Rodeiro, Javier Pereira-Loureiro, Manuel Penedo, 2024, págs. 245-252
• Idioma: inglés
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  • Microbial communities act as complex ecological networks, crucial in diverse natural and engineered settings. These communities consist of bacteria, fungi, viruses, and other microorganisms that interact with one another and their environment. They perform essential functions such as nutrient cycling, degradation of pollutants, and maintaining the health of plants, animals, and humans. Systems biology leverages mathematical models to study these communities in a systematic and quantitative manner. Our work concentrates on calibrating nonlinear models in Ordinary Differential Equations (ODEs), evaluating both structural and practical identifiability properties to verify if model parameters can be uniquely estimated from the available data. This is crucial to ensure model reliability, enhancing our understanding of how microbial ecosystems work, and providing us with tools for optimal design and management of microbial ecosystems for applications in health and environmental science.