Literature DB >> 27179457

INDISIM-Paracoccus, an individual-based and thermodynamic model for a denitrifying bacterium.

Pablo Araujo Granda1, Anna Gras2, Marta Ginovart3, Vincent Moulton4.   

Abstract

We have developed an individual-based model for denitrifying bacteria. The model, called INDISIM-Paracoccus, embeds a thermodynamic model for bacterial yield prediction inside the individual-based model INDISIM, and is designed to simulate the bacterial cell population behavior and the product dynamics within the culture. The INDISIM-Paracoccus model assumes a culture medium containing succinate as a carbon source, ammonium as a nitrogen source and various electron acceptors such as oxygen, nitrate, nitrite, nitric oxide and nitrous oxide to simulate in continuous or batch culture the different nutrient-dependent cell growth kinetics of the bacterium Paracoccus denitrificans. The individuals in the model represent microbes and the individual-based model INDISIM gives the behavior-rules that they use for their nutrient uptake and reproduction cycle. Three previously described metabolic pathways for P. denitrificans were selected and translated into balanced chemical equations using a thermodynamic model. These stoichiometric reactions are an intracellular model for the individual behavior-rules for metabolic maintenance and biomass synthesis and result in the release of different nitrogen oxides to the medium. The model was implemented using the NetLogo platform and it provides an interactive tool to investigate the different steps of denitrification carried out by a denitrifying bacterium. The simulator can be obtained from the authors on request.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bacterial yield prediction; Denitrification; INDISIM; Individual-based model; NetLogo; Paracoccus denitrificans; Thermodynamic Electron Equivalents Model

Mesh:

Year:  2016        PMID: 27179457     DOI: 10.1016/j.jtbi.2016.05.017

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  4 in total

1.  INDISIM-Denitrification, an individual-based model for study the denitrification process.

Authors:  Pablo Araujo-Granda; Anna Gras; Marta Ginovart; Vincent Moulton
Journal:  J Ind Microbiol Biotechnol       Date:  2019-11-05       Impact factor: 3.346

2.  Interacting Bioenergetic and Stoichiometric Controls on Microbial Growth.

Authors:  Arjun Chakrawal; Salvatore Calabrese; Anke M Herrmann; Stefano Manzoni
Journal:  Front Microbiol       Date:  2022-05-17       Impact factor: 6.064

3.  MbT-Tool: An open-access tool based on Thermodynamic Electron Equivalents Model to obtain microbial-metabolic reactions to be used in biotechnological process.

Authors:  Pablo Granda Araujo; Anna Gras; Marta Ginovart
Journal:  Comput Struct Biotechnol J       Date:  2016-08-26       Impact factor: 7.271

4.  A Microfluidics and Agent-Based Modeling Framework for Investigating Spatial Organization in Bacterial Colonies: The Case of Pseudomonas Aeruginosa and H1-Type VI Secretion Interactions.

Authors:  Jared L Wilmoth; Peter W Doak; Andrea Timm; Michelle Halsted; John D Anderson; Marta Ginovart; Clara Prats; Xavier Portell; Scott T Retterer; Miguel Fuentes-Cabrera
Journal:  Front Microbiol       Date:  2018-02-06       Impact factor: 5.640

  4 in total

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