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Effects of Spatial Localization on Microbial Consortia Growth

Microbial consortia are commonly observed in natural and synthetic systems, and these consortia frequently result in higher biomass production relative to monocultures. The focus here is on the impact of initial spatial localization and substrate diffusivity on the growth of a model microbial consor...

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Autores principales: Venters, Michael, Carlson, Ross P., Gedeon, Tomas, Heys, Jeffrey J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5207726/
https://www.ncbi.nlm.nih.gov/pubmed/28045924
http://dx.doi.org/10.1371/journal.pone.0168592
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author Venters, Michael
Carlson, Ross P.
Gedeon, Tomas
Heys, Jeffrey J.
author_facet Venters, Michael
Carlson, Ross P.
Gedeon, Tomas
Heys, Jeffrey J.
author_sort Venters, Michael
collection PubMed
description Microbial consortia are commonly observed in natural and synthetic systems, and these consortia frequently result in higher biomass production relative to monocultures. The focus here is on the impact of initial spatial localization and substrate diffusivity on the growth of a model microbial consortium consisting of a producer strain that consumes glucose and produces acetate and a scavenger strain that consumes the acetate. The mathematical model is based on an individual cell model where growth is described by Monod kinetics, and substrate transport is described by a continuum-based, non-equilibrium reaction-diffusion model where convective transport is negligible (e.g., in a biofilm). The first set of results focus on a single producer cell at the center of the domain and surrounded by an initial population of scavenger cells. The impact of the initial population density and substrate diffusivity is examined. A transition is observed from the highest initial density resulting in the greatest cell growth to cell growth being independent of initial density. A high initial density minimizes diffusive transport time and is typically expected to result in the highest growth, but this expected behavior is not predicted in environments with lower diffusivity or larger length scales. When the producer cells are placed on the bottom of the domain with the scavenger cells above in a layered biofilm arrangement, a similar critical transition is observed. For the highest diffusivity values examined, a thin, dense initial scavenger layer is optimal for cell growth. However, for smaller diffusivity values, a thicker, less dense initial scavenger layer provides maximal growth. The overall conclusion is that high density clustering of members of a food chain is optimal under most common transport conditions, but under some slow transport conditions, high density clustering may not be optimal for microbial growth.
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spelling pubmed-52077262017-01-19 Effects of Spatial Localization on Microbial Consortia Growth Venters, Michael Carlson, Ross P. Gedeon, Tomas Heys, Jeffrey J. PLoS One Research Article Microbial consortia are commonly observed in natural and synthetic systems, and these consortia frequently result in higher biomass production relative to monocultures. The focus here is on the impact of initial spatial localization and substrate diffusivity on the growth of a model microbial consortium consisting of a producer strain that consumes glucose and produces acetate and a scavenger strain that consumes the acetate. The mathematical model is based on an individual cell model where growth is described by Monod kinetics, and substrate transport is described by a continuum-based, non-equilibrium reaction-diffusion model where convective transport is negligible (e.g., in a biofilm). The first set of results focus on a single producer cell at the center of the domain and surrounded by an initial population of scavenger cells. The impact of the initial population density and substrate diffusivity is examined. A transition is observed from the highest initial density resulting in the greatest cell growth to cell growth being independent of initial density. A high initial density minimizes diffusive transport time and is typically expected to result in the highest growth, but this expected behavior is not predicted in environments with lower diffusivity or larger length scales. When the producer cells are placed on the bottom of the domain with the scavenger cells above in a layered biofilm arrangement, a similar critical transition is observed. For the highest diffusivity values examined, a thin, dense initial scavenger layer is optimal for cell growth. However, for smaller diffusivity values, a thicker, less dense initial scavenger layer provides maximal growth. The overall conclusion is that high density clustering of members of a food chain is optimal under most common transport conditions, but under some slow transport conditions, high density clustering may not be optimal for microbial growth. Public Library of Science 2017-01-03 /pmc/articles/PMC5207726/ /pubmed/28045924 http://dx.doi.org/10.1371/journal.pone.0168592 Text en © 2017 Venters 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
Venters, Michael
Carlson, Ross P.
Gedeon, Tomas
Heys, Jeffrey J.
Effects of Spatial Localization on Microbial Consortia Growth
title Effects of Spatial Localization on Microbial Consortia Growth
title_full Effects of Spatial Localization on Microbial Consortia Growth
title_fullStr Effects of Spatial Localization on Microbial Consortia Growth
title_full_unstemmed Effects of Spatial Localization on Microbial Consortia Growth
title_short Effects of Spatial Localization on Microbial Consortia Growth
title_sort effects of spatial localization on microbial consortia growth
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5207726/
https://www.ncbi.nlm.nih.gov/pubmed/28045924
http://dx.doi.org/10.1371/journal.pone.0168592
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