Academic Journal
Perspectives in Mathematical Modelling for Microbial Ecology
| العنوان: | Perspectives in Mathematical Modelling for Microbial Ecology |
|---|---|
| المؤلفون: | Wade, Matthew J., Harmand, Jérôme, Benyahia, Boumediene, Bouchez, Théodore, Chaillou, Stephane, Cloez, Bertrand, Godon, Jean-Jacques, Lobry, Claude, Moussa Boubjemaa, Boumédiène, Rapaport, Alain, Sari, Tewfik, Arditi, Roger |
| المساهمون: | School of Civil Engineering and Geosciences Newcastle, Newcastle University Newcastle, Laboratoire de Biotechnologie de l'Environnement Narbonne (LBE), Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Modelling and Optimisation of the Dynamics of Ecosystems with MICro-organisme (MODEMIC), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie (MISTEA), Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Laboratoire d'Automatique de Tlemcen (LAT), Université Aboubekr Belkaid - University of Belkaïd Abou Bekr Tlemcen, Hydrosystèmes et Bioprocédés (UR HBAN), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), MICrobiologie de l'ALImentation au Service de la Santé (MICALIS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Unité de recherche Flore Lactique et Environnement Carné (UFLEC), Institut National de la Recherche Agronomique (INRA), Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie (MISTEA), Laboratoire de Microbiologie Appliquée à l'Agroalimentaire, au Biomédical et à l'Environnement (LAMAABE), Information – Technologies – Analyse Environnementale – Procédés Agricoles (UMR ITAP), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Department of Biology Fribourg, Albert-Ludwigs-Universität Freiburg = University of Freiburg, CIB/EPFL |
| المصدر: | ISSN: 0304-3800. |
| بيانات النشر: | CCSD Elsevier |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | DENSITY DEPENDENCE, MATHEMATICAL MODELLING, MESH: mathematical modelling, MESH: microbial ecology, MESH: chemostat, MESH: density dependence, MESH: thermodynamics, [MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS], [SDE]Environmental Sciences, [SDE.IE]Environmental Sciences/Environmental Engineering, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.BIO]Life Sciences [q-bio]/Biotechnology, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems |
| الوصف: | [Departement_IRSTEA]Ecotechnologies [TR1_IRSTEA]TED [TR2_IRSTEA]INSPIRE ; International audience ; 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. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| ردمك: | 978-0-00-368866-5 0-00-368866-6 |
| Relation: | IRSTEA: PUB00045657; PRODINRA: 342710; WOS: 000368866600006 |
| DOI: | 10.1016/j.ecolmodel.2015.11.002 |
| الاتاحة: | https://inria.hal.science/hal-01227423 https://inria.hal.science/hal-01227423v1/document https://inria.hal.science/hal-01227423v1/file/EcologicalModelling2016.pdf https://doi.org/10.1016/j.ecolmodel.2015.11.002 |
| Rights: | http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.7FEF8F2 |
| قاعدة البيانات: | BASE |
| ردمك: | 9780003688665 0003688666 |
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| DOI: | 10.1016/j.ecolmodel.2015.11.002 |