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The space between us: Modeling spatial heterogeneity in synthetic microbial consortia dynamics

A central endeavor in bioengineering concerns the construction of multistrain microbial consortia with desired properties. Typically, a gene network is partitioned between strains, and strains communicate via quorum sensing, allowing for complex behaviors. Yet a fundamental question of how emergent...

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Detalles Bibliográficos
Autores principales: Godin, Ryan, Karamched, Bhargav R., Ryan, Shawn D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720408/
https://www.ncbi.nlm.nih.gov/pubmed/36479317
http://dx.doi.org/10.1016/j.bpr.2022.100085
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author Godin, Ryan
Karamched, Bhargav R.
Ryan, Shawn D.
author_facet Godin, Ryan
Karamched, Bhargav R.
Ryan, Shawn D.
author_sort Godin, Ryan
collection PubMed
description A central endeavor in bioengineering concerns the construction of multistrain microbial consortia with desired properties. Typically, a gene network is partitioned between strains, and strains communicate via quorum sensing, allowing for complex behaviors. Yet a fundamental question of how emergent spatiotemporal patterning in multistrain microbial consortia affects consortial dynamics is not understood well. Here, we propose a computationally tractable and straightforward modeling framework that explicitly allows linking spatiotemporal patterning to consortial dynamics. We validate our model against previously published results and make predictions of how spatial heterogeneity impacts interstrain communication. By enabling the investigation of spatial patterns effects on microbial dynamics, our modeling framework informs experimentalists, helps advance the understanding of complex microbial systems, and supports the development of applications involving them.
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spelling pubmed-97204082022-12-06 The space between us: Modeling spatial heterogeneity in synthetic microbial consortia dynamics Godin, Ryan Karamched, Bhargav R. Ryan, Shawn D. Biophys Rep (N Y) Report A central endeavor in bioengineering concerns the construction of multistrain microbial consortia with desired properties. Typically, a gene network is partitioned between strains, and strains communicate via quorum sensing, allowing for complex behaviors. Yet a fundamental question of how emergent spatiotemporal patterning in multistrain microbial consortia affects consortial dynamics is not understood well. Here, we propose a computationally tractable and straightforward modeling framework that explicitly allows linking spatiotemporal patterning to consortial dynamics. We validate our model against previously published results and make predictions of how spatial heterogeneity impacts interstrain communication. By enabling the investigation of spatial patterns effects on microbial dynamics, our modeling framework informs experimentalists, helps advance the understanding of complex microbial systems, and supports the development of applications involving them. Elsevier 2022-11-17 /pmc/articles/PMC9720408/ /pubmed/36479317 http://dx.doi.org/10.1016/j.bpr.2022.100085 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Report
Godin, Ryan
Karamched, Bhargav R.
Ryan, Shawn D.
The space between us: Modeling spatial heterogeneity in synthetic microbial consortia dynamics
title The space between us: Modeling spatial heterogeneity in synthetic microbial consortia dynamics
title_full The space between us: Modeling spatial heterogeneity in synthetic microbial consortia dynamics
title_fullStr The space between us: Modeling spatial heterogeneity in synthetic microbial consortia dynamics
title_full_unstemmed The space between us: Modeling spatial heterogeneity in synthetic microbial consortia dynamics
title_short The space between us: Modeling spatial heterogeneity in synthetic microbial consortia dynamics
title_sort space between us: modeling spatial heterogeneity in synthetic microbial consortia dynamics
topic Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720408/
https://www.ncbi.nlm.nih.gov/pubmed/36479317
http://dx.doi.org/10.1016/j.bpr.2022.100085
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