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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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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. |
format | Online Article Text |
id | pubmed-5823926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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