Microbial Interactions as Drivers of a Nitrification Process in a Chemostat

Ugalde-Salas, Pablo; Ramírez C., Héctor; Harmand, Jérôme; Desmond-Le Quéméner, Elie; Laboratoire de Biotechnologie de l'Environnement [Narbonne]  ; Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement -Institut Agro - Montpellier SupAgro ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement -Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement; Universidad de Chile = University of Chile [Santiago]; FONDECYT grant 1200355; Basal Program CMM-AFB 170001, both from ANID .; ANR-16-CE04-0003,Thermomic,Un cadre thermodynamique pour la modélisation de la croissance et des dynamiques microbiennes

Microbial Interactions as Drivers of a Nitrification Process in a Chemostat

2021

Ugalde-Salas, Pablo | Ramírez C., Héctor | Harmand, Jérôme | Desmond-Le Quéméner, Elie | Laboratoire de Biotechnologie de l'Environnement [Narbonne] (LBE) ; Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) | Universidad de Chile = University of Chile [Santiago] (UCHILE) | FONDECYT grant 1200355 | Basal Program CMM-AFB 170001, both from ANID (Chile). | ANR-16-CE04-0003,Thermomic,Un cadre thermodynamique pour la modélisation de la croissance et des dynamiques microbiennes(2016)

International audience

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anglais. This article deals with the inclusion of microbial ecology measurements such as abundances of operational taxonomic units in bioprocess modelling. The first part presents the mathematical analysis of a model that may be framed within the class of Lotka–Volterra models fitted to experimental data in a chemostat setting where a nitrification process was operated for over 500 days. The limitations and the insights of such an approach are discussed. In the second part, the use of an optimal tracking technique (developed within the framework of control theory) for the integration of data from genetic sequencing in chemostat models is presented. The optimal tracking revisits the data used in the aforementioned chemostat setting. The resulting model is an explanatory model, not a predictive one, it is able to reconstruct the different forms of nitrogen in the reactor by using the abundances of the operational taxonomic units, providing some insights into the growth rate of microbes in a complex community.

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Informations bibliographiques

Editeur

HAL CCSD, MDPI

D'autres materias

Microbial growth rate; Bifurcation analysis; Generalized lotka– volterra; Microbal interactions; Optimal control; [sdv.bio]life sciences [q-bio]/biotechnology; [math.math-oc]mathematics [math]/optimization and control [math.oc]; [sdv.mp]life sciences [q-bio]/microbiology and parasitology; Chemostat theory

Langue

anglais

Licence

http://creativecommons.org/licenses/by/, info:eu-repo/semantics/OpenAccess

ISBN

0006333045000

ISSN

2306-5354, 03335915

Type

Info:eu-Repo/semantics/article; Journal Articles

Source

ISSN: 2306-5354, Bioengineering, https://hal.inrae.fr/hal-03335915, Bioengineering, 2021, 8 (3), pp.31. ⟨10.3390/bioengineering8030031⟩