Perspectives in Mathematical Modelling for Microbial Ecology - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Article Dans Une Revue (Article De Synthèse) Ecological Modelling Année : 2016

Perspectives in Mathematical Modelling for Microbial Ecology

Théodore Bouchez
Roger Arditi
  • Fonction : Auteur
  • PersonId : 1121046
  • IdHAL : rogerarditi

Résumé

Although mathematical modelling has reached a degree of maturity in the last decades, microbial ecology is still developing, albeit at a rapid pace thanks to new insights provided by modern molecular tools. However, whilst microbiologists have long enjoyed the perspectives that particular mathematical frameworks can provide, there remains a reluctance to fully embrace the potential of models, which appear too complex, esoteric or distant from the “real-world”. Nevertheless there is a strong case for pursuing the development of mathematical models to describe microbial behaviour and interactions, dynamically, spatially and across scales. Here we put forward perspectives on the current state of mathematical modelling in microbial ecology, looking back at the developments that have defined the synergies between the disciplines, and outline some of the existing challenges that motivate us to provide practical models in the hope that greater engagement with empiricists and practitioners in the microbiological domain may be achieved. We also indicate recent advances in modelling that have had impact in both the fundamental understanding of microbial ecology and its practical application in engineered biological systems. In this way, it is anticipated that interest can be garnered from across the microbiological spectrum resulting in a broader uptake of mathematical concepts in lecture theatres, laboratories and industrial systems.
Fichier principal
Vignette du fichier
EcologicalModelling2016.pdf (1.04 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01227423 , version 1 (01-02-2016)

Licence

Paternité

Identifiants

Citer

Matthew J. Wade, Jérôme Harmand, Boumediene Benyahia, Théodore Bouchez, Stephane Chaillou, et al.. Perspectives in Mathematical Modelling for Microbial Ecology. Ecological Modelling, 2016, 321 (64-74), pp.64-74. ⟨10.1016/j.ecolmodel.2015.11.002⟩. ⟨hal-01227423⟩
834 Consultations
422 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More