Cargando…

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

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 syste...

Descripción completa

Detalles Bibliográficos
Autores principales: Wade, Matthew J., Oakley, Jordan, Harbisher, Sophie, Parker, Nicholas G., Dolfing, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342223/
https://www.ncbi.nlm.nih.gov/pubmed/28273164
http://dx.doi.org/10.1371/journal.pone.0173249
_version_ 1782513132097241088
author Wade, Matthew J.
Oakley, Jordan
Harbisher, Sophie
Parker, Nicholas G.
Dolfing, Jan
author_facet Wade, Matthew J.
Oakley, Jordan
Harbisher, Sophie
Parker, Nicholas G.
Dolfing, Jan
author_sort Wade, Matthew J.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-5342223
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-53422232017-03-29 MI-Sim: A MATLAB package for the numerical analysis of microbial ecological interactions Wade, Matthew J. Oakley, Jordan Harbisher, Sophie Parker, Nicholas G. Dolfing, Jan PLoS One Research Article 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. Public Library of Science 2017-03-08 /pmc/articles/PMC5342223/ /pubmed/28273164 http://dx.doi.org/10.1371/journal.pone.0173249 Text en © 2017 Wade et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wade, Matthew J.
Oakley, Jordan
Harbisher, Sophie
Parker, Nicholas G.
Dolfing, Jan
MI-Sim: A MATLAB package for the numerical analysis of microbial ecological interactions
title MI-Sim: A MATLAB package for the numerical analysis of microbial ecological interactions
title_full MI-Sim: A MATLAB package for the numerical analysis of microbial ecological interactions
title_fullStr MI-Sim: A MATLAB package for the numerical analysis of microbial ecological interactions
title_full_unstemmed MI-Sim: A MATLAB package for the numerical analysis of microbial ecological interactions
title_short MI-Sim: A MATLAB package for the numerical analysis of microbial ecological interactions
title_sort mi-sim: a matlab package for the numerical analysis of microbial ecological interactions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342223/
https://www.ncbi.nlm.nih.gov/pubmed/28273164
http://dx.doi.org/10.1371/journal.pone.0173249
work_keys_str_mv AT wadematthewj misimamatlabpackageforthenumericalanalysisofmicrobialecologicalinteractions
AT oakleyjordan misimamatlabpackageforthenumericalanalysisofmicrobialecologicalinteractions
AT harbishersophie misimamatlabpackageforthenumericalanalysisofmicrobialecologicalinteractions
AT parkernicholasg misimamatlabpackageforthenumericalanalysisofmicrobialecologicalinteractions
AT dolfingjan misimamatlabpackageforthenumericalanalysisofmicrobialecologicalinteractions