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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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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. |
format | Online Article Text |
id | pubmed-7374166 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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