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Metagenomic mining of regulatory elements enables programmable species-selective gene expression
Robust and predictably performing synthetic circuits rely on the use of well-characterized regulatory parts across different genetic backgrounds and environmental contexts. Here, we report the large-scale metagenomic mining of thousands of natural 5′-regulatory sequences from diverse bacteria and th...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6065261/ https://www.ncbi.nlm.nih.gov/pubmed/30052624 http://dx.doi.org/10.1038/nmeth.4633 |
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author | Johns, Nathan I. Gomes, Antonio L.C. Yim, Sung Sun Yang, Anthony Blazejewski, Tomasz Smillie, Christopher S. Smith, Mark B. Alm, Eric J. Kosuri, Sriram Wang, Harris H. |
author_facet | Johns, Nathan I. Gomes, Antonio L.C. Yim, Sung Sun Yang, Anthony Blazejewski, Tomasz Smillie, Christopher S. Smith, Mark B. Alm, Eric J. Kosuri, Sriram Wang, Harris H. |
author_sort | Johns, Nathan I. |
collection | PubMed |
description | Robust and predictably performing synthetic circuits rely on the use of well-characterized regulatory parts across different genetic backgrounds and environmental contexts. Here, we report the large-scale metagenomic mining of thousands of natural 5′-regulatory sequences from diverse bacteria and their multiplexed gene expression characterization in industrially-relevant microbes. We identified regulatory sequences with broad and host-specific expression properties that are robust in various growth conditions. We further observed significant differences between species’ capacity to utilize exogenous regulatory sequences. Finally, we demonstrated programmable species-selective gene expression that produces distinct and diverse output patterns in different microbes by leveraging regulatory sequences with pre-defined host-specificities. Together, these findings provide a rich resource of characterized and annotated natural regulatory sequences and a framework to engineer synthetic gene circuits with unique and tunable cross-species functionality and properties. |
format | Online Article Text |
id | pubmed-6065261 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
spelling | pubmed-60652612018-09-19 Metagenomic mining of regulatory elements enables programmable species-selective gene expression Johns, Nathan I. Gomes, Antonio L.C. Yim, Sung Sun Yang, Anthony Blazejewski, Tomasz Smillie, Christopher S. Smith, Mark B. Alm, Eric J. Kosuri, Sriram Wang, Harris H. Nat Methods Article Robust and predictably performing synthetic circuits rely on the use of well-characterized regulatory parts across different genetic backgrounds and environmental contexts. Here, we report the large-scale metagenomic mining of thousands of natural 5′-regulatory sequences from diverse bacteria and their multiplexed gene expression characterization in industrially-relevant microbes. We identified regulatory sequences with broad and host-specific expression properties that are robust in various growth conditions. We further observed significant differences between species’ capacity to utilize exogenous regulatory sequences. Finally, we demonstrated programmable species-selective gene expression that produces distinct and diverse output patterns in different microbes by leveraging regulatory sequences with pre-defined host-specificities. Together, these findings provide a rich resource of characterized and annotated natural regulatory sequences and a framework to engineer synthetic gene circuits with unique and tunable cross-species functionality and properties. 2018-03-19 2018-05 /pmc/articles/PMC6065261/ /pubmed/30052624 http://dx.doi.org/10.1038/nmeth.4633 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Johns, Nathan I. Gomes, Antonio L.C. Yim, Sung Sun Yang, Anthony Blazejewski, Tomasz Smillie, Christopher S. Smith, Mark B. Alm, Eric J. Kosuri, Sriram Wang, Harris H. Metagenomic mining of regulatory elements enables programmable species-selective gene expression |
title | Metagenomic mining of regulatory elements enables programmable species-selective gene expression |
title_full | Metagenomic mining of regulatory elements enables programmable species-selective gene expression |
title_fullStr | Metagenomic mining of regulatory elements enables programmable species-selective gene expression |
title_full_unstemmed | Metagenomic mining of regulatory elements enables programmable species-selective gene expression |
title_short | Metagenomic mining of regulatory elements enables programmable species-selective gene expression |
title_sort | metagenomic mining of regulatory elements enables programmable species-selective gene expression |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6065261/ https://www.ncbi.nlm.nih.gov/pubmed/30052624 http://dx.doi.org/10.1038/nmeth.4633 |
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