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Majority sensing in synthetic microbial consortia

As synthetic biocircuits become more complex, distributing computations within multi-strain microbial consortia becomes increasingly beneficial. However, designing distributed circuits that respond predictably to variation in consortium composition remains a challenge. Here we develop a two-strain g...

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Detalles Bibliográficos
Autores principales: Alnahhas, Razan N., Sadeghpour, Mehdi, Chen, Ye, Frey, Alexis A., Ott, William, Josić, Krešimir, Bennett, Matthew R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374166/
https://www.ncbi.nlm.nih.gov/pubmed/32694598
http://dx.doi.org/10.1038/s41467-020-17475-z
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author Alnahhas, Razan N.
Sadeghpour, Mehdi
Chen, Ye
Frey, Alexis A.
Ott, William
Josić, Krešimir
Bennett, Matthew R.
author_facet Alnahhas, Razan N.
Sadeghpour, Mehdi
Chen, Ye
Frey, Alexis A.
Ott, William
Josić, Krešimir
Bennett, Matthew R.
author_sort Alnahhas, Razan N.
collection PubMed
description As synthetic biocircuits become more complex, distributing computations within multi-strain microbial consortia becomes increasingly beneficial. However, designing distributed circuits that respond predictably to variation in consortium composition remains a challenge. Here we develop a two-strain gene circuit that senses and responds to which strain is in the majority. This involves a co-repressive system in which each strain produces a signaling molecule that signals the other strain to down-regulate production of its own, orthogonal signaling molecule. This co-repressive consortium links gene expression to ratio of the strains rather than population size. Further, we control the cross-over point for majority via external induction. We elucidate the mechanisms driving these dynamics by developing a mathematical model that captures consortia response as strain fractions and external induction are varied. These results show that simple gene circuits can be used within multicellular synthetic systems to sense and respond to the state of the population.
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spelling pubmed-73741662020-07-24 Majority sensing in synthetic microbial consortia Alnahhas, Razan N. Sadeghpour, Mehdi Chen, Ye Frey, Alexis A. Ott, William Josić, Krešimir Bennett, Matthew R. Nat Commun Article As synthetic biocircuits become more complex, distributing computations within multi-strain microbial consortia becomes increasingly beneficial. However, designing distributed circuits that respond predictably to variation in consortium composition remains a challenge. Here we develop a two-strain gene circuit that senses and responds to which strain is in the majority. This involves a co-repressive system in which each strain produces a signaling molecule that signals the other strain to down-regulate production of its own, orthogonal signaling molecule. This co-repressive consortium links gene expression to ratio of the strains rather than population size. Further, we control the cross-over point for majority via external induction. We elucidate the mechanisms driving these dynamics by developing a mathematical model that captures consortia response as strain fractions and external induction are varied. These results show that simple gene circuits can be used within multicellular synthetic systems to sense and respond to the state of the population. Nature Publishing Group UK 2020-07-21 /pmc/articles/PMC7374166/ /pubmed/32694598 http://dx.doi.org/10.1038/s41467-020-17475-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Alnahhas, Razan N.
Sadeghpour, Mehdi
Chen, Ye
Frey, Alexis A.
Ott, William
Josić, Krešimir
Bennett, Matthew R.
Majority sensing in synthetic microbial consortia
title Majority sensing in synthetic microbial consortia
title_full Majority sensing in synthetic microbial consortia
title_fullStr Majority sensing in synthetic microbial consortia
title_full_unstemmed Majority sensing in synthetic microbial consortia
title_short Majority sensing in synthetic microbial consortia
title_sort majority sensing in synthetic microbial consortia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374166/
https://www.ncbi.nlm.nih.gov/pubmed/32694598
http://dx.doi.org/10.1038/s41467-020-17475-z
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