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Lotka-Volterra pairwise modeling fails to capture diverse pairwise microbial interactions
Pairwise models are commonly used to describe many-species communities. In these models, an individual receives additive fitness effects from pairwise interactions with each species in the community ('additivity assumption'). All pairwise interactions are typically represented by a single...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469619/ https://www.ncbi.nlm.nih.gov/pubmed/28350295 http://dx.doi.org/10.7554/eLife.25051 |
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author | Momeni, Babak Xie, Li Shou, Wenying |
author_facet | Momeni, Babak Xie, Li Shou, Wenying |
author_sort | Momeni, Babak |
collection | PubMed |
description | Pairwise models are commonly used to describe many-species communities. In these models, an individual receives additive fitness effects from pairwise interactions with each species in the community ('additivity assumption'). All pairwise interactions are typically represented by a single equation where parameters reflect signs and strengths of fitness effects ('universality assumption'). Here, we show that a single equation fails to qualitatively capture diverse pairwise microbial interactions. We build mechanistic reference models for two microbial species engaging in commonly-found chemical-mediated interactions, and attempt to derive pairwise models. Different equations are appropriate depending on whether a mediator is consumable or reusable, whether an interaction is mediated by one or more mediators, and sometimes even on quantitative details of the community (e.g. relative fitness of the two species, initial conditions). Our results, combined with potential violation of the additivity assumption in many-species communities, suggest that pairwise modeling will often fail to predict microbial dynamics. DOI: http://dx.doi.org/10.7554/eLife.25051.001 |
format | Online Article Text |
id | pubmed-5469619 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-54696192017-06-15 Lotka-Volterra pairwise modeling fails to capture diverse pairwise microbial interactions Momeni, Babak Xie, Li Shou, Wenying eLife Computational and Systems Biology Pairwise models are commonly used to describe many-species communities. In these models, an individual receives additive fitness effects from pairwise interactions with each species in the community ('additivity assumption'). All pairwise interactions are typically represented by a single equation where parameters reflect signs and strengths of fitness effects ('universality assumption'). Here, we show that a single equation fails to qualitatively capture diverse pairwise microbial interactions. We build mechanistic reference models for two microbial species engaging in commonly-found chemical-mediated interactions, and attempt to derive pairwise models. Different equations are appropriate depending on whether a mediator is consumable or reusable, whether an interaction is mediated by one or more mediators, and sometimes even on quantitative details of the community (e.g. relative fitness of the two species, initial conditions). Our results, combined with potential violation of the additivity assumption in many-species communities, suggest that pairwise modeling will often fail to predict microbial dynamics. DOI: http://dx.doi.org/10.7554/eLife.25051.001 eLife Sciences Publications, Ltd 2017-03-28 /pmc/articles/PMC5469619/ /pubmed/28350295 http://dx.doi.org/10.7554/eLife.25051 Text en © 2017, Momeni et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Momeni, Babak Xie, Li Shou, Wenying Lotka-Volterra pairwise modeling fails to capture diverse pairwise microbial interactions |
title | Lotka-Volterra pairwise modeling fails to capture diverse pairwise microbial interactions |
title_full | Lotka-Volterra pairwise modeling fails to capture diverse pairwise microbial interactions |
title_fullStr | Lotka-Volterra pairwise modeling fails to capture diverse pairwise microbial interactions |
title_full_unstemmed | Lotka-Volterra pairwise modeling fails to capture diverse pairwise microbial interactions |
title_short | Lotka-Volterra pairwise modeling fails to capture diverse pairwise microbial interactions |
title_sort | lotka-volterra pairwise modeling fails to capture diverse pairwise microbial interactions |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469619/ https://www.ncbi.nlm.nih.gov/pubmed/28350295 http://dx.doi.org/10.7554/eLife.25051 |
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