Microbial Interactions as Drivers of a Nitrification Process in a Chemostat
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Bioengineering |
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| Online Access: | https://www.mdpi.com/2306-5354/8/3/31 |
| _version_ | 1797395241155690496 |
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| author | Pablo Ugalde-Salas Héctor Ramírez C. Jérôme Harmand Elie Desmond-Le Quéméner |
| author_facet | Pablo Ugalde-Salas Héctor Ramírez C. Jérôme Harmand Elie Desmond-Le Quéméner |
| author_sort | Pablo Ugalde-Salas |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T00:31:33Z |
| format | Article |
| id | doaj.art-893fc76d950e410e8f98a9a675a708c6 |
| institution | Directory Open Access Journal |
| issn | 2306-5354 |
| language | English |
| last_indexed | 2024-03-09T00:31:33Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj.art-893fc76d950e410e8f98a9a675a708c62023-12-11T18:27:17ZengMDPI AGBioengineering2306-53542021-02-01833110.3390/bioengineering8030031Microbial Interactions as Drivers of a Nitrification Process in a ChemostatPablo Ugalde-Salas0Héctor Ramírez C.1Jérôme Harmand2Elie Desmond-Le Quéméner3LBE, INRAE, Université de Montpellier, 11100 Narbonne, FranceDepartamento de Ingeniería Matemática, Centro de Modelamiento Matemático (CNRS UMI 2807), Universidad de Chile, Santiago, ChileLBE, INRAE, Université de Montpellier, 11100 Narbonne, FranceLBE, INRAE, Université de Montpellier, 11100 Narbonne, FranceThis 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.https://www.mdpi.com/2306-5354/8/3/31microbal interactionsmicrobial growth ratebifurcation analysisgeneralized Lotka–Volterrachemostat theoryoptimal control |
| spellingShingle | Pablo Ugalde-Salas Héctor Ramírez C. Jérôme Harmand Elie Desmond-Le Quéméner Microbial Interactions as Drivers of a Nitrification Process in a Chemostat Bioengineering microbal interactions microbial growth rate bifurcation analysis generalized Lotka–Volterra chemostat theory optimal control |
| title | Microbial Interactions as Drivers of a Nitrification Process in a Chemostat |
| title_full | Microbial Interactions as Drivers of a Nitrification Process in a Chemostat |
| title_fullStr | Microbial Interactions as Drivers of a Nitrification Process in a Chemostat |
| title_full_unstemmed | Microbial Interactions as Drivers of a Nitrification Process in a Chemostat |
| title_short | Microbial Interactions as Drivers of a Nitrification Process in a Chemostat |
| title_sort | microbial interactions as drivers of a nitrification process in a chemostat |
| topic | microbal interactions microbial growth rate bifurcation analysis generalized Lotka–Volterra chemostat theory optimal control |
| url | https://www.mdpi.com/2306-5354/8/3/31 |
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