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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...

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Detalles Bibliográficos
Autores principales: Momeni, Babak, Xie, Li, Shou, Wenying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2017
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
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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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