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Programmed hierarchical patterning of bacterial populations

Modern genetic tools allow the dissection and emulation of fundamental mechanisms shaping morphogenesis in multicellular organisms. Several synthetic genetic circuits for control of multicellular patterning have been reported to date. However, hierarchical induction of gene expression domains has re...

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Detalles Bibliográficos
Autores principales: Boehm, Christian R., Grant, Paul K., Haseloff, Jim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5823926/
https://www.ncbi.nlm.nih.gov/pubmed/29472537
http://dx.doi.org/10.1038/s41467-018-03069-3
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author Boehm, Christian R.
Grant, Paul K.
Haseloff, Jim
author_facet Boehm, Christian R.
Grant, Paul K.
Haseloff, Jim
author_sort Boehm, Christian R.
collection PubMed
description Modern genetic tools allow the dissection and emulation of fundamental mechanisms shaping morphogenesis in multicellular organisms. Several synthetic genetic circuits for control of multicellular patterning have been reported to date. However, hierarchical induction of gene expression domains has received little attention from synthetic biologists, despite its importance in biological self-organization. Here we report a synthetic genetic system implementing population-based AND-logic for programmed autonomous induction of bacterial gene expression domains. We develop a ratiometric assay for bacteriophage T7 RNA polymerase activity and use it to systematically characterize different intact and split enzyme variants. We then utilize the best-performing variant to build a three-color patterning system responsive to two different homoserine lactones. We validate the AND gate-like behavior of this system both in cell suspension and in surface culture. Finally, we use the synthetic circuit in a membrane-based spatial assay to demonstrate programmed hierarchical patterning of gene expression across bacterial populations.
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spelling pubmed-58239262018-02-26 Programmed hierarchical patterning of bacterial populations Boehm, Christian R. Grant, Paul K. Haseloff, Jim Nat Commun Article Modern genetic tools allow the dissection and emulation of fundamental mechanisms shaping morphogenesis in multicellular organisms. Several synthetic genetic circuits for control of multicellular patterning have been reported to date. However, hierarchical induction of gene expression domains has received little attention from synthetic biologists, despite its importance in biological self-organization. Here we report a synthetic genetic system implementing population-based AND-logic for programmed autonomous induction of bacterial gene expression domains. We develop a ratiometric assay for bacteriophage T7 RNA polymerase activity and use it to systematically characterize different intact and split enzyme variants. We then utilize the best-performing variant to build a three-color patterning system responsive to two different homoserine lactones. We validate the AND gate-like behavior of this system both in cell suspension and in surface culture. Finally, we use the synthetic circuit in a membrane-based spatial assay to demonstrate programmed hierarchical patterning of gene expression across bacterial populations. Nature Publishing Group UK 2018-02-22 /pmc/articles/PMC5823926/ /pubmed/29472537 http://dx.doi.org/10.1038/s41467-018-03069-3 Text en © The Author(s) 2018 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
Boehm, Christian R.
Grant, Paul K.
Haseloff, Jim
Programmed hierarchical patterning of bacterial populations
title Programmed hierarchical patterning of bacterial populations
title_full Programmed hierarchical patterning of bacterial populations
title_fullStr Programmed hierarchical patterning of bacterial populations
title_full_unstemmed Programmed hierarchical patterning of bacterial populations
title_short Programmed hierarchical patterning of bacterial populations
title_sort programmed hierarchical patterning of bacterial populations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5823926/
https://www.ncbi.nlm.nih.gov/pubmed/29472537
http://dx.doi.org/10.1038/s41467-018-03069-3
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