Literature DB >> 31691030

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

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

Abstract

Denitrification is one of the key processes of the global nitrogen (N) cycle driven by bacteria. It has been widely known for more than 100 years as a process by which the biogeochemical N-cycle is balanced. To study this process, we develop an individual-based model called INDISIM-Denitrification. The model embeds a thermodynamic model for bacterial yield prediction inside the individual-based model INDISIM and is designed to simulate in aerobic and anaerobic conditions the cell growth kinetics of denitrifying bacteria. INDISIM-Denitrification simulates a bioreactor that contains a culture medium with succinate as a carbon source, ammonium as nitrogen source and various electron acceptors. To implement INDISIM-Denitrification, the individual-based model INDISIM was used to give sub-models for nutrient uptake, stirring and reproduction cycle. Using a thermodynamic approach, the denitrification pathway, cellular maintenance and individual mass degradation were modeled using microbial metabolic reactions. These equations are the basis of the sub-models for metabolic maintenance, individual mass synthesis and reducing internal cytotoxic products. The model was implemented in the open-access platform NetLogo. INDISIM-Denitrification is validated using a set of experimental data of two denitrifying bacteria in two different experimental conditions. This provides an interactive tool to study the denitrification process carried out by any denitrifying bacterium since INDISIM-Denitrification allows changes in the microbial empirical formula and in the energy-transfer-efficiency used to represent the metabolic pathways involved in the denitrification process. The simulator can be obtained from the authors on request.

Entities:  

Keywords:  Bacterial yield prediction; Denitrification; INDISIM; Individual-based model; NetLogo; Thermodynamic electron equivalent model

Mesh:

Substances:

Year:  2019        PMID: 31691030     DOI: 10.1007/s10295-019-02245-8

Source DB:  PubMed          Journal:  J Ind Microbiol Biotechnol        ISSN: 1367-5435            Impact factor:   3.346


  55 in total

Review 1.  The enzymes associated with denitrification.

Authors:  L I Hochstein; G A Tomlinson
Journal:  Annu Rev Microbiol       Date:  1988       Impact factor: 15.500

2.  Evaluation of methods to predict bacterial yield using thermodynamics.

Authors:  Jeanne M VanBriesen
Journal:  Biodegradation       Date:  2002       Impact factor: 3.909

3.  Comparison of nitrification inhibition by metals in batch and continuous flow reactors.

Authors:  Zhiqiang Hu; Kartik Chandran; Domenico Grasso; Barth F Smets
Journal:  Water Res       Date:  2004-11       Impact factor: 11.236

4.  Multi-process biological treatment model.

Authors:  D R Christensen; P L McCarthy
Journal:  J Water Pollut Control Fed       Date:  1975-11

5.  Dynamics of denitrification activity of Paracoccus denitrificans in continuous culture during aerobic-anaerobic changes.

Authors:  B Baumann; M Snozzi; A J Zehnder; J R Van Der Meer
Journal:  J Bacteriol       Date:  1996-08       Impact factor: 3.490

6.  Thermodynamics of biological synthesis and growth.

Authors:  P L McCarty
Journal:  Air Water Pollut       Date:  1965-10

Review 7.  Denitrification.

Authors:  R Knowles
Journal:  Microbiol Rev       Date:  1982-03

8.  Denitrification response patterns during the transition to anoxic respiration and posttranscriptional effects of suboptimal pH on nitrous [corrected] oxide reductase in Paracoccus denitrificans.

Authors:  Linda Bergaust; Yuejian Mao; Lars R Bakken; Asa Frostegård
Journal:  Appl Environ Microbiol       Date:  2010-08-13       Impact factor: 4.792

9.  Nitrous oxide inactivation of cobalamin-dependent methionine synthase from Escherichia coli: characterization of the damage to the enzyme and prosthetic group.

Authors:  J T Drummond; R G Matthews
Journal:  Biochemistry       Date:  1994-03-29       Impact factor: 3.162

10.  The effect of root exudates on rhizosphere water dynamics.

Authors:  L J Cooper; K R Daly; P D Hallett; N Koebernick; T S George; T Roose
Journal:  Proc Math Phys Eng Sci       Date:  2018-09-05       Impact factor: 2.704

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  1 in total

1.  High Cell Density Cultivation of Paracoccus sp. on Sugarcane Juice for Poly(3-hydroxybutyrate) Production.

Authors:  Ayyapruk Moungprayoon; Siriporn Lunprom; Alissara Reungsang; Apilak Salakkam
Journal:  Front Bioeng Biotechnol       Date:  2022-05-12
  1 in total

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