Literature DB >> 28273164

MI-Sim: A MATLAB package for the numerical analysis of microbial ecological interactions.

Matthew J Wade1, Jordan Oakley2, Sophie Harbisher2, Nicholas G Parker2, Jan Dolfing1.   

Abstract

Food-webs and other classes of ecological network motifs, are a means of describing feeding relationships between consumers and producers in an ecosystem. They have application across scales where they differ only in the underlying characteristics of the organisms and substrates describing the system. Mathematical modelling, using mechanistic approaches to describe the dynamic behaviour and properties of the system through sets of ordinary differential equations, has been used extensively in ecology. Models allow simulation of the dynamics of the various motifs and their numerical analysis provides a greater understanding of the interplay between the system components and their intrinsic properties. We have developed the MI-Sim software for use with MATLAB to allow a rigorous and rapid numerical analysis of several common ecological motifs. MI-Sim contains a series of the most commonly used motifs such as cooperation, competition and predation. It does not require detailed knowledge of mathematical analytical techniques and is offered as a single graphical user interface containing all input and output options. The tools available in the current version of MI-Sim include model simulation, steady-state existence and stability analysis, and basin of attraction analysis. The software includes seven ecological interaction motifs and seven growth function models. Unlike other system analysis tools, MI-Sim is designed as a simple and user-friendly tool specific to ecological population type models, allowing for rapid assessment of their dynamical and behavioural properties.

Entities:  

Mesh:

Year:  2017        PMID: 28273164      PMCID: PMC5342223          DOI: 10.1371/journal.pone.0173249

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  20 in total

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Journal:  FEMS Microbiol Rev       Date:  2001-04       Impact factor: 16.408

2.  Network motifs: simple building blocks of complex networks.

Authors:  R Milo; S Shen-Orr; S Itzkovitz; N Kashtan; D Chklovskii; U Alon
Journal:  Science       Date:  2002-10-25       Impact factor: 47.728

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Authors:  Jorge Rodríguez; Juan M Lema; Robbert Kleerebezem
Journal:  Trends Biotechnol       Date:  2008-05-29       Impact factor: 19.536

4.  Enriched predator-prey systems: theoretical stability.

Authors:  M E Gilpin; M L Rosenzweig
Journal:  Science       Date:  1972-09-08       Impact factor: 47.728

5.  Maintenance affects the stability of a two-tiered microbial 'food chain'?

Authors:  Aiping Xu; Jan Dolfing; Thomas P Curtis; Gary Montague; Elaine Martin
Journal:  J Theor Biol       Date:  2011-02-01       Impact factor: 2.691

Review 6.  Microbial interactions: from networks to models.

Authors:  Karoline Faust; Jeroen Raes
Journal:  Nat Rev Microbiol       Date:  2012-07-16       Impact factor: 60.633

Review 7.  Microbial interactions in continuous culture.

Authors:  H R Bungay; M L Bungay
Journal:  Adv Appl Microbiol       Date:  1968       Impact factor: 5.086

Review 8.  Synthetic Ecology of Microbes: Mathematical Models and Applications.

Authors:  Ali R Zomorrodi; Daniel Segrè
Journal:  J Mol Biol       Date:  2015-11-11       Impact factor: 5.469

Review 9.  Synthetic microbial communities.

Authors:  Tobias Grosskopf; Orkun S Soyer
Journal:  Curr Opin Microbiol       Date:  2014-03-14       Impact factor: 7.934

10.  Microbial diversity arising from thermodynamic constraints.

Authors:  Tobias Großkopf; Orkun S Soyer
Journal:  ISME J       Date:  2016-04-01       Impact factor: 10.302

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