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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
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.
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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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