Literature DB >> 14609636

A survey of mathematical models of competition with an inhibitor.

S-B Hsu1, Paul Waltman.   

Abstract

Mathematical models of the effect of inhibitors on microbial competition are surveyed. The term inhibitor is used in a broad sense and includes toxins, contaminants, allelopathic agents, etc. This includes both detoxification where the inhibitor is viewed as a pollutant and control where the inhibitor is viewed as an aid to controlling a bioreactor. The inhibitor may be supplied externally or may be created as an anti-competitor toxin. This includes plasmid-bearing, plasmid-free competition. The literature is spread across journals in different disciplines and with different notation. The survey attempts to present the mathematical models and the results of the corresponding analysis within a common framework and notation. Detailed mathematical proofs are not given but the methods of proof are indicated, references cited, and the results presented in tables. Open problems are indicated where there is a gap in the theory.

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Year:  2004        PMID: 14609636     DOI: 10.1016/j.mbs.2003.07.004

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  6 in total

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2.  Modeling the role of altruism of antibiotic-resistant bacteria.

Authors:  Wendi Wang; Xingfu Zou
Journal:  J Math Biol       Date:  2013-03-30       Impact factor: 2.259

3.  Dynamics of a Model of Allelopathy and Bacteriocin with a Single Mutation.

Authors:  Lan Zou; Xingwu Chen; Shigui Ruan; Weinian Zhang
Journal:  Nonlinear Anal Real World Appl       Date:  2011-02-01       Impact factor: 2.763

4.  Antialgal effects of five individual allelochemicals and their mixtures in low level pollution conditions.

Authors:  Shengpeng Zuo; Shoubiao Zhou; Liangtao Ye; Ying Ding; Xiaofeng Jiang
Journal:  Environ Sci Pollut Res Int       Date:  2016-05-02       Impact factor: 4.223

5.  Counteraction of antibiotic production and degradation stabilizes microbial communities.

Authors:  Eric D Kelsic; Jeffrey Zhao; Kalin Vetsigian; Roy Kishony
Journal:  Nature       Date:  2015-05-28       Impact factor: 49.962

6.  Cellular heterogeneity results from indirect effects under metabolic tradeoffs.

Authors:  Aina Ollé-Vila; Ricard Solé
Journal:  R Soc Open Sci       Date:  2019-09-25       Impact factor: 2.963

  6 in total

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