Literature DB >> 28664221

A stoichiometric organic matter decomposition model in a chemostat culture.

Jude D Kong1, Paul Salceanu2, Hao Wang3.   

Abstract

Biodegradation, the disintegration of organic matter by microorganism, is essential for the cycling of environmental organic matter. Understanding and predicting the dynamics of this biodegradation have increasingly gained attention from the industries and government regulators. Since changes in environmental organic matter are strenuous to measure, mathematical models are essential in understanding and predicting the dynamics of organic matters. Empirical evidence suggests that grazers' preying activity on microorganism helps to facilitate biodegradation. In this paper, we formulate and investigate a stoichiometry-based organic matter decomposition model in a chemostat culture that incorporates the dynamics of grazers. We determine the criteria for the uniform persistence and extinction of the species and chemicals. Our results show that (1) if at the unique internal steady state, the per capita growth rate of bacteria is greater than the sum of the bacteria's death and dilution rates, then the bacteria will persist uniformly; (2) if in addition to this, (a) the grazers' per capita growth rate is greater than the sum of the dilution rate and grazers' death rate, and (b) the death rate of bacteria is less than some threshold, then the grazers will persist uniformly. These conditions can be achieved simultaneously if there are sufficient resources in the feed bottle. As opposed to the microcosm decomposition models' results, in a chemostat culture, chemicals always persist. Besides the transcritical bifurcation observed in microcosm models, our chemostat model exhibits Hopf bifurcation and Rosenzweig's paradox of enrichment phenomenon. Our sensitivity analysis suggests that the most effective way to facilitate degradation is to decrease the dilution rate.

Entities:  

Keywords:  Bifurcation; Biodegradation; Chemostat; Microorganism; Organic matter; Persistence; Sensitivity analysis; Stoichiometry

Mesh:

Substances:

Year:  2017        PMID: 28664221     DOI: 10.1007/s00285-017-1152-3

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  12 in total

1.  The continuous culture of bacteria; a theoretical and experimental study.

Authors:  D HERBERT; R ELSWORTH; R C TELLING
Journal:  J Gen Microbiol       Date:  1956-07

2.  Dynamic and steady state studies of phenol biodegradation in pure and mixed cultures.

Authors:  R D Yang; A E Humphrey
Journal:  Biotechnol Bioeng       Date:  1975-08       Impact factor: 4.530

3.  Bacterivorous grazers facilitate organic matter decomposition: a stoichiometric modeling approach.

Authors:  Hao Wang; Lin Jiang; Joshua S Weitz
Journal:  FEMS Microbiol Ecol       Date:  2009-04-29       Impact factor: 4.194

4.  Description of the chemostat.

Authors:  A NOVICK; L SZILARD
Journal:  Science       Date:  1950-12-15       Impact factor: 47.728

5.  Robust uniform persistence in discrete and continuous dynamical systems using Lyapunov exponents.

Authors:  Paul L Salceanu
Journal:  Math Biosci Eng       Date:  2011-07       Impact factor: 2.080

6.  Protozoa as agents responsible for the decline of Xanthomonas campestris in soil.

Authors:  M Habte; M Alexander
Journal:  Appl Microbiol       Date:  1975-02

7.  Determining important parameters in the spread of malaria through the sensitivity analysis of a mathematical model.

Authors:  Nakul Chitnis; James M Hyman; Jim M Cushing
Journal:  Bull Math Biol       Date:  2008-02-22       Impact factor: 1.758

8.  A simulation model for the effect of predation on bacteria in continuous culture.

Authors:  H W Hunt; C V Cole; D A Klein; D C Coleman
Journal:  Microb Ecol       Date:  1977-12       Impact factor: 4.552

Review 9.  Notes on protozoa in agricultural soil with emphasis on heterotrophic flagellates and naked amoebae and their ecology.

Authors:  F Ekelund; R Rønn
Journal:  FEMS Microbiol Rev       Date:  1994-12       Impact factor: 16.408

10.  Negative selection effects suppress relationships between bacterial diversity and ecosystem functioning.

Authors:  Lin Jiang
Journal:  Ecology       Date:  2007-05       Impact factor: 5.499

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